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Speaker 1: Five O four A fifty about darc the talk station

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Speaker 1: Happy Friday series.

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Speaker 2: Some sill.

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Speaker 1: It is must be Friday? Got a woo who from

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Speaker 1: Joe'strekor Executive producer at fifty five Carcy Morning Showan Brian

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Speaker 1: Thomas hosted a fifty five Carecy Morning Show, and I

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Speaker 1: would would invite phone calls because I love talking to

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Speaker 1: the listeners. Sadly, the phones are out Joe's Trekker. This

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Speaker 1: is hilarious to me every time this happens, and it's

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Speaker 1: not that often, but we've had phone issues before. Joe

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Speaker 1: has to deal with someone in Chicago to fix local

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Speaker 1: phone issues. Any system issue that exists here in Cincinnati

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Speaker 1: has to be addressed by somebody in Chicago, usually posing

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Speaker 1: a problem considering the time difference between us in Chicago. So, Joe,

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Speaker 1: I'm surprised you found an awake, live human being to

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Speaker 1: even talk to this morning. I understand the problem wasn't

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Speaker 1: resolved after an hour or so of working with that

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Speaker 1: person either, So sadly, until that situation gets turned around,

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Speaker 1: I'm stuck on my own here on a Friday. But

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Speaker 1: it's a great Friday because we have plenty of guests

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Speaker 1: coming in this morning. I appreciate Joe lining up of

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Speaker 1: course every Friday Tech Friday with Dave Hatter. Today we'll

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Speaker 1: be talking about this is scary stuff. You're a poll

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Speaker 1: dismantling a sim farm network, and that's one of those

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Speaker 1: nefarious bot farms that sends out all kinds of trolling

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Speaker 1: and fake emails and processes nefarious transactions and probably engages

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Speaker 1: in hacking efforts. We'll get all the details about what

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Speaker 1: this sim farm network was doing or was capable of doing,

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Speaker 1: but it was powering forty nine million fake worldwide accounts.

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Speaker 1: So thinking about that one celebrity who was so distressed

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Speaker 1: because of all the negative comments that were made to

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Speaker 1: her about her post, And I looked at it from

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Speaker 1: a viewpoint of is your life so shallow that your

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Speaker 1: entire being is predicated of what your perception of what

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Speaker 1: other people think about you, that your life is crushed

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Speaker 1: and brought down because a lot of people have a

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Speaker 1: backlash against you for some seemingly innocuous comment you made online.

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Speaker 1: Oh my god, I'm terrible. I'm devastated. Just remember there

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Speaker 1: are these sim farms out there, fake accounts that generate

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Speaker 1: this kind of stuff automatically. Yeah, artificial intelligence. Go ahead,

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Speaker 1: try AI sometime. If you're not familiar with the chat

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Speaker 1: GPT will scare that crap out of you. Give it

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Speaker 1: something hard to do, and it'll turn out a response,

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Speaker 1: usually a plausible, reasonable response, in a matter of just

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Speaker 1: a second. Yeah, little bot farms, little individual accounts can

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Speaker 1: do just that. So maybe it isn't a real person

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Speaker 1: responding to your post. Maybe it's something like that designed

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Speaker 1: to spew out divisive posts. That happens, And if you

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Speaker 1: don't believe me, I seem to think Dave had will

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Speaker 1: confirm that coll or the toilet company manufacturer, Yeah, the

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Speaker 1: fixture manufacturer looking to put camera in your camera in

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Speaker 1: your toilet to analyze its contents. Yeah, I can concede

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Speaker 1: that there may be some benefit medically to that. But

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Speaker 1: a camera in your toilet, Joe, you don't think anybody

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Speaker 1: would use that for nefarious purposes?

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Speaker 3: Do you do?

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Speaker 1: You think they had security in mind when they designed that,

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Speaker 1: so they can prevent people from hacking into it and

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Speaker 1: looking at your bottom or the contents of the toilet, Joe?

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Speaker 1: Is there a website for people who enjoy looking at

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Speaker 1: the contents of a toilet? Ain't no flag for us.

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Speaker 1: You're gonna ask Pappus that question. Topic number three. Apple

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Speaker 1: will be renting a new brain for Siri from Google

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Speaker 1: for the price deg of one billion dollars per year.

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Speaker 1: All right, well again that's where we have Dave how

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Speaker 1: to go through those Restore Wellness George Brunneman to Keith

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Speaker 1: Tenenfeld back in studio at seven oh five, talking about

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Speaker 1: all the well wellness updatesw you can look out for

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Speaker 1: yourself and perfect timing for me. Had my physical yesterday.

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Speaker 1: I got my blood work results, and I'm telling you, man,

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Speaker 1: that diet I've been on for the last year did wonders.

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Speaker 1: He showed me my blood work for the last four years,

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Speaker 1: you know, in a row like I went back to

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Speaker 1: twenty twenty. But man, I looked at my twenty twenty results,

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Speaker 1: I said, I'm surprised you didn't declare me a wreck

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Speaker 1: back then. But compared to that and now at just amazing, amazing, amazing.

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Speaker 1: So I'm just so pleased, just patting myself on the

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Speaker 1: back and using me as an illustration of if you

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Speaker 1: just cut the sugar out of your diet and cut

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Speaker 1: way back on the carbs, miracles. Restore Wellness seven to

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Speaker 1: five and the Auschwitz exhibit at the Museum Center. I've

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Speaker 1: really been looking forward to Elizabeth Pierce, CEO of the

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Speaker 1: Museum Center, along with Jackie cong Gato of the Holocaust

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Speaker 1: and Humanity Center. They're going to join me in studio

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Speaker 1: at eight oh five. Will we talking about that amazing exhibit,

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Speaker 1: what you can see and the importance of it. Semitic

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Speaker 1: folks out there that elected Zorhan Mamdani to be the

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Speaker 1: mayor of New York City, I do not comprehend that

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Speaker 1: at all. Anyhow, those a our guests today. I'm looking

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Speaker 1: forward to having him in the studio. Of course Monday,

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Speaker 1: Christopher Smithman know he's not going away. Get the smith

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Speaker 1: event at seven to twenty, and then money Monday with

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Speaker 1: Brian James. So you got flight delays, of course, and

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Speaker 1: apparently this chaos is exactly what the Democrats want to

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Speaker 1: unleash on you, and they think it's going to benefit them,

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Speaker 1: and I suppose we'll have to step back and decide

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Speaker 1: whether or not it benefits for them. Democratic Senator Chris

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Speaker 1: Murphy of Connecticut, I believe this was yesterday talking about

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Speaker 1: on the heels of some expressions of optimism that maybe

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Speaker 1: this in the next week or so, or maybe even

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Speaker 1: shorter time period, they're going to resolve this shutdown. But

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Speaker 1: the Democrats are standing firm on the demands to increase

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Speaker 1: the Obamacare subsidies or extend them. Chris Murphy, Connecticut Democrat,

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Speaker 1: I think it would be very strange if on the

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Speaker 1: heels of the American people, having rewarded Democrats for standing

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Speaker 1: up and fighting, we surrendered without getting anything for the

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Speaker 1: people we've been fighting for. And he also suggested that

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Speaker 1: a compromise could damage the Democratic brand. Now, first off,

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Speaker 1: I'll concede Republicans didn't do well on Tuesday. But going

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Speaker 1: back to the states we're talking about here, Virginia and

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Speaker 1: New Jersey now pretty damn blue states. So I guess

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Speaker 1: now I'm trying to look at it with some measure

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Speaker 1: of positivity or looking for something positive out of the election.

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Speaker 1: You know, the Republicans rarely stand a chance of winning

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Speaker 1: or even running a candidate that competes, and the Republicans

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Speaker 1: were neck and neck with the Democrat gub goodnatorial races

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Speaker 1: up until the end. Low voter turnout apparently had some

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Speaker 1: impact on the elections. A lot of Democrats were driven

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Speaker 1: out of course, you got all the folks, most notably

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Speaker 1: in Virginia that have been locked out because of the

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Speaker 1: government shutdown. They may have been doing a protest vote,

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Speaker 1: but they were Democrat states, so it really shouldn't come

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Speaker 1: as an amazing shock. But did people vote for the

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Speaker 1: Democrats there because of the shutdown? Because of the fight

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Speaker 1: that's existing over extending Obamacare supplements? Did they vote for

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Speaker 1: Democrats because of Donald Trump's cracking down on illegal immigrants?

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Speaker 1: And seventy to eighty percent of the illegal immigrant crackdown

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Speaker 1: is hardened criminal illegal immigrants that we want to get

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Speaker 1: rid of out of the country. Was that why people

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Speaker 1: wanted to hold Most people are suggesting it is the

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Speaker 1: economy that was the reason inflation. It's expensive, so they

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Speaker 1: can read into it what they want. They may do

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Speaker 1: it at their own peril. But as the journal points out,

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Speaker 1: you're suffering is an assist to the Democratic brand today.

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Speaker 1: Missing out on Thanksgiving this year because your flight's been canceled.

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Speaker 1: Democrat brand is going to help may be helped. So

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Speaker 1: it sucks to be you. Maybe you're getting normally a

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Speaker 1: SNAP beneficiary, and I understand a court order to the

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Speaker 1: Trump administration to pay full SNAP benefits. We'll see if

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Speaker 1: that happens. But maybe you are haven't been getting your

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Speaker 1: SNAP benefits. They don't care you'd get them if they'd

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Speaker 1: open the government up. Then the Democrats don't seem to

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Speaker 1: care that the SNAP benefits have been cut off. Now

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Speaker 1: they'll pay lip service that they do, but they're the

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Speaker 1: ones that have the keys to opening the government in

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Speaker 1: their hands, and this is something that nobody's talking about.

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Speaker 1: Thank you for the Journal for bringing it to my pension.

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Speaker 1: The public barely even hears about the shutdown costs for

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Speaker 1: US national security, noting that some eighty percent of workers

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Speaker 1: at the agency overseeing the American nuclear stockpile have been furlough.

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Speaker 1: The Pentagon is going to be end up behind on

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Speaker 1: ship maintenance, military training, all of this languishing. They suggest,

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Speaker 1: voters want to check on President Trump's excesses, and this

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Speaker 1: week's senem a signal flare about the soft economy, But

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Speaker 1: apparently the Democrats seem determined to misread the lessons, even

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Speaker 1: in victory. Chris Murphy in twenty thirteen here's an interesting

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Speaker 1: quote considering his position now on the shutdown. The shutdown

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Speaker 1: and the pain that it brings about bolsters the Democratic brand. Great, Chris, thanks,

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Speaker 1: what happened to this quote? You got to go back

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Speaker 1: to twenty thirteen. There is a time in place to

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Speaker 1: debate healthcare, just like there's a time and place to

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Speaker 1: debate energy policy and immigration and education, but not when

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Speaker 1: funding of the federal government and all the lives that

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Speaker 1: are impacted by it hang in the balance. He's got

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Speaker 1: a different tune these days. Different tune. Today's the slashing

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Speaker 1: or reduction in flights. You better call ahead of time

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Speaker 1: Federal Aviation, you know, the other day had issued that

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Speaker 1: ten percent reduction in flights. Apparently six hundred and fifty

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Speaker 1: US flights scheduled today preemptively canceled. Yesterday, American Airlines said

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Speaker 1: in a statement was reducing flight schedules, minding about two

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Speaker 1: hundred and twenty flights each day. And that's just one airline. Obviously,

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Speaker 1: Dealta said it was cutting one hundred and seventy flights today.

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Speaker 1: Southwest apparently announced one hundred flights will be cut today.

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Speaker 1: Yes yesterday more than five thousand, five hundred US flights delayed,

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Speaker 1: one hundred and sixty cancelations, and so they expect this

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Speaker 1: obviously will continue. Flight reduction set to hit some of

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Speaker 1: the country's busiest airports Atlanta, Newark, Denver, Chicago, Houston, and

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Speaker 1: Los Angeles. And as Jay Rattler has pointed out, stating

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Speaker 1: the obvious, you know, when you have a shutdown or

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Speaker 1: a big delay in one of these massive hubs, the

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Speaker 1: ripple effect can be quite profound. So when you're sitting

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Speaker 1: there tapping your toes stealing as they were yesterday and

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Speaker 1: I believe it was Newark Airport for three plus hours

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Speaker 1: waiting for their planes, just remember, just remember you're bolstering

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Speaker 1: the Democratic brand. So suck it up. Five point fifteen

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Speaker 1: fifty five car see the talk station. Hope you can

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Speaker 1: stick around. You're right back after these brief words. It

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Speaker 1: is five eighteen on a Friday again. Phone lines are

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Speaker 1: are down here for about Garston talks station. Apologies. I'd

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Speaker 1: rather be talking to you, but if you hear from Leney,

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Speaker 1: it wouldn't be a Friday without him. Let to see

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Speaker 1: you here. Victor David Hanson an author from American Greatness.

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Speaker 1: He does some brilliant column work and does this Democrat

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Speaker 1: chaos strategy work. Obviously, we are in a bit of

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Speaker 1: a chaotics as a situation. You know, Donald Trump's making

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Speaker 1: some really great things happen. You got a record breaking

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Speaker 1: drug hauls, and say what you want about blowing up boats.

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Speaker 1: You know where I am on that. It's pretty amazing.

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Speaker 1: Coast Guard sees an absolute all time record so far

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Speaker 1: in the fiscal year, five hundred and ten thousand pounds

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Speaker 1: of cocaine and growing. For folks out there worried about

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Speaker 1: the cost of pharmaceuticals, Trump just announced a deal with

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Speaker 1: the weight loss drug makers to reduce the cost of those.

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Speaker 1: So those are down and now affordable these reasonably so. Look,

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Speaker 1: Kazakhstan has joined the Abraham Accords, another amazing triumph in

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Speaker 1: the Middle East in an effort towards peace. But he

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Speaker 1: sucks right anyway. The chaos strategy over to Victor David

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Speaker 1: Hanson and props to him for the following words. We

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Speaker 1: can draw off a few conclusions from an off year

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Speaker 1: election when iconic races in blue states went as expected,

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Speaker 1: overwhelmingly Democrat. Nevertheless, there is only a year left before

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Speaker 1: the midterms, so Republicans must react and even to even

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Speaker 1: these paltry results. Okay, number one, Democrats, chaotic nihilism still works.

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Speaker 1: The chaos strategy causes so much turmoil, noise, and negative

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Speaker 1: media coverage that the confused voting public simply cannot sort

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Speaker 1: it all out. The public wishes the uppeople would just

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Speaker 1: go away, and often blames those with the most current authority,

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Speaker 1: logically the incumbent Trump and his administration number two. Every

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Speaker 1: day of Trump's first year there were either campus eruptions,

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Speaker 1: TESLA firebombing, street violence against is orz district judge injunctions.

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Speaker 1: The bedlam becomes force multiplied by unhinged outbursts from Democrats

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Speaker 1: like aoc Jasmine Crockett, Eric Swallow, and the proverbial Squad.

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Speaker 1: The latest firecracker thrown by a now Biden like faltering

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Speaker 1: Nancy Pelosi, who announced the retirement yesterday. Yay recently screamed

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Speaker 1: on CNN that President Trump is just a vile creature,

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Speaker 1: the worst thing on the face of the art. The

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Speaker 1: public has no time to sort out all the actual

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Speaker 1: causes for such mad HATTERI it knows only from Democrats

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Speaker 1: that the commotion is roughly correlated with Trump. Note that

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Speaker 1: there has never been EI. There as never a positive

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Speaker 1: Democrat contract with America. Since it's impossible to advance anything

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Speaker 1: popular or moderate past its now firmly socialist base. Number three.

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Speaker 1: Democrats also use the chaos strategy to target key electoral groups.

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Speaker 1: In this week's real election, Republicans finally go rasped to

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Speaker 1: the purpose of the pre election shutdown. It was designed

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Speaker 1: to galvanize key constituencies to get out the vote in

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Speaker 1: a low turnout year. Lockdown, especially aimed to two groups,

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Speaker 1: laid off and unpaid government workers and entitlement recipients terrified

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Speaker 1: their checks would dry up. Both turned out disproportionately in Virginia,

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Speaker 1: New Jersey. Democrats are likely to resolve the shutdown soon,

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Speaker 1: as the initial momentum gained by the paralyzing government is

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Speaker 1: now diminishing. The same strategy applies to the Hispanic vote

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Speaker 1: that actually defected in large numbers to Trump in twenty

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Speaker 1: twenty four. However, this week in many counties, the Hispanic

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Speaker 1: vote shifted back toward the Democratic Party. The truth is

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Speaker 1: not get out enough to that seventy to eighty percent

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Speaker 1: of deportation that all. Rather, that seventy to eight percent

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Speaker 1: of deportations are targeted at those with either criminal records

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Speaker 1: or prior deportation orders. Instead, the non stop violent protests,

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Speaker 1: the dangerous nullification threats from Blue City of five in

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Speaker 1: the slanted media coverage worked like proverbial propaganda to reduce

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Speaker 1: Ice to the Gestapo. Too many of the public believe

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Speaker 1: that Nazis were hounding only law abiding housekeepers and landscapers

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Speaker 1: who have been here for decades and only by accident

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Speaker 1: forgot to make their de facto americanness official. Or so

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Speaker 1: the successful big lie went and went unchallenged. The administration

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Speaker 1: in Maggie did not talk enough about positive news of

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Speaker 1: GDP growth, tolerable inflation, massive foreign investment, a calmer Middle East,

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Speaker 1: or numerous miraculous ceasefires around the globe. Instead, when there

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Speaker 1: is a vacuum of so and self praise, it's more

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Speaker 1: easily replaced by the sensationalism of Trump's revenge tour in

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Speaker 1: hounding the boy scout James Comey and poor Letitia James

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Speaker 1: of taking a wrecking ball to the revered White House

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Speaker 1: or insulting for no reason are blameless, nice and gentle

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Speaker 1: Canadian neighbors. The economy not calls to sack when elections.

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Speaker 1: Much of the Trump Agenda Number four, much of the

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Speaker 1: Trouble agenda, other than spectacular military recruitment and secure border

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Speaker 1: is more long term than instantly gratifying. This is a

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Speaker 1: great point he makes here. I believe the multi trillion

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Speaker 1: dollar foreign investments may take a year or two to

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Speaker 1: create jobs. That's parked the economy. The deportations will take

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Speaker 1: time to switch more jobs to US citizens. New gas,

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Speaker 1: oil and nuclear energy production, terming the federal workforce, deregulating

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Speaker 1: in greenlighting, artificial intelligence, and other new technologies will not

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Speaker 1: be felt immediately. Consider after the summer nineteen eighty four convention,

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Speaker 1: even Ronald Reagan trailed the anemic Walter Mondale in a

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Speaker 1: few polls. Then the first three quarters of GDP cumulatively

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Speaker 1: over seven percent growth were digested as the economy took

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Speaker 1: off and buried Mondale in the November elections number five.

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Speaker 1: There is no longer a Democrat party. It's now an

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Speaker 1: unapologetically neo socialist Jacobin movement. So traditional negative advertising designed

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Speaker 1: to incurse, scandal and shame simply does not always work.

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Speaker 1: All that matters is the hard leftist fides of a candidate.

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Speaker 1: Period threaten a political opponent with assassination, brag about killing

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Speaker 1: his kids, tattoo the third Pantser SS Division death's head

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Speaker 1: insignia on your chest, promise to arrest foreignheads of state

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Speaker 1: when he visits your city, met Yahoo, boast about grabbing

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Speaker 1: the means of production. So what the New Left, to

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Speaker 1: the new Left, this is just proof that they are

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Speaker 1: new candidates and voters mean business. They cannot be shamed,

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Speaker 1: not even by mocking Charlie Kirk's wound or hoping Trump

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Speaker 1: is not so lucky the third time. There's plenty of

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Speaker 1: time for Republicans to digest these results, especially the strategy

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Speaker 1: and dangerous nature of the New Left, along with the

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Speaker 1: mercurial moods of swing voters and the need to stick

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Speaker 1: to the economy. But the clock is ticking. It's the economy,

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Speaker 1: so drove most people out. And remember when you see

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Speaker 1: a blue state, it's like city of Cincinnati. We wanted

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Speaker 1: Corey Bowman to win. We thought there was a glimmer

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Speaker 1: of hope given the chaos unleashed on the city of

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Speaker 1: Cincinnati by AFTEB par Ball in its current administration. But

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Speaker 1: the city's blue. So when you go to bed in

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Speaker 1: the night before the Tuesday election in the city, you

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Speaker 1: kind of have this expectation it's going to be status quo,

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Speaker 1: and you wake up and you find things haven't changed.

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Speaker 1: Looking at New Jersey and Virginia, I think we can

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Speaker 1: kind of draw the same conclusions. Was that really a

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Speaker 1: huge surprise to anybody? Five twenty six fifty five KR

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Speaker 1: see the talk station stick around. I got some local

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Speaker 1: stories coming up, and hopefully the phones will get situation

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Speaker 1: will get resolved. But we'll muddle through this morning. There's

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Speaker 1: a lot of stuff happening military fifty five kr se

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Speaker 1: talk station, and for those just tuning in, phone lines

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Speaker 1: are down. Joe's working with the conveniently situated folks in

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Speaker 1: Chicago to get the situation resolved. I always scratch my

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Speaker 1: ned over that reality. So let us just clear the

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Speaker 1: record to make sure that we're feeling good about a

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Speaker 1: Friday and keeping things in line and consistent. What's Tom's advice, Joe?

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Speaker 1: What is Tom's advice?

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Speaker 4: Don't vote Democrat?

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Speaker 3: Dah.

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Speaker 1: I want to make sure we got off on the

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Speaker 1: right foot. Wouldn't be a five point thirty segment without

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Speaker 1: that important message over the local Stori's assistant Cincinnti Fire

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Speaker 1: Chief Sherman Smith has been fired Court of Fox NAT

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Speaker 1: teen reporting again Trician Mackie, among others at least he's

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Speaker 1: paying attention fired for, as she describes it, helping former

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Speaker 1: fire Chief Michael Washington in the in a lawsuit. H

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Speaker 1: Some members of since They's Firefighter Union Local number forty

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Speaker 1: eight concerned about Smith's recent termination, as he has been

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Speaker 1: a well a long standing thirty one year veteran member

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Speaker 1: the Cincinni Fire Department. He was put on paid ministry

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Speaker 1: and administrative leap back in July, second of July, pending

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Speaker 1: the outcome of the probe. The probe which I guess

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Speaker 1: I'm presuming, which led to him being terminated because the

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Speaker 1: probe revealed he helped former Chief Washington in a lawsuit.

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Speaker 1: Now question, much like police Chiefdiji, why was she placed

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Speaker 1: on paid administrative leave. We don't know. They said they

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Speaker 1: were going to look into her four year record and

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Speaker 1: announce something later after they've reviewed her record to see

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Speaker 1: if there's something there that would justify her termination. Okay,

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Speaker 1: sounds like the same thing here. Back in July, he's

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Speaker 1: placed on administrative leave, they do this probe, and now

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Speaker 1: they say he helped form or my Chief Washington in

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Speaker 1: a lawsuit, so he should be terminated or was terminated.

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Speaker 1: I'm confused on this. Joe Strecker thinks they have to

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Speaker 1: have provolls going after his enemies. Court Local forty eight announcement.

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Speaker 1: Chief Smith has served this department in community with professionalism, compassion,

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Speaker 1: and commitment. After more than three decades of honorable service.

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Speaker 1: He deserves a fair and impartial review of the circumstances

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Speaker 1: leading to the action. We will continue to stand by

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Speaker 1: him and sure his rights are fully protected. He's been

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Speaker 1: around since twenty seventeen. I saw the Fire Department's division

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Speaker 1: of Assistant Chief since twenty seventeen. Overs saw to the

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Speaker 1: Fire Department's division of Fire Prevention and Community Risk Reduction.

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Speaker 1: So and of course you got Michael Washington. His case

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Speaker 1: is moving forward and he is the compunitive damages, back

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Speaker 1: pay and lost benefits City of Cincinnati. I feel pretty

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Speaker 1: strong he's going to be writing that guy a huge check.

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Speaker 1: And what's wrong with I mean, if he's a factual witness,

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Speaker 1: if he obviously was in a position to witness Chief

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Speaker 1: Washington's time on the job, wouldn't it be understandable for him?

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Speaker 1: It might be that he might be interviewed by Washington's attorneys.

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Speaker 1: Do you have any information about how mister Washington ran

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Speaker 1: the fire Department. Sir, yes, I do. I've worked with

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Speaker 1: him for filling the blank number of years and probably

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Speaker 1: did help him. But what's wrong with that? Okay? After Tuesday,

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Speaker 1: with the posting of the map on how the residents

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Speaker 1: of the City of Cincinnati voted, Jus Tracker is now

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Speaker 1: keeping tabs. Police broke up a fight involving juveniles near

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Speaker 1: Fountain Square in downtown Cincinnati. Arrested to juveniles Corning to

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Speaker 1: the SINCINNTI Police Department about twelve noon, Sincinnai Business District

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Speaker 1: saw a group of around twenty juveniles gathering in the area.

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Speaker 1: Two to three individuals seen engaging in physically fighting. Police

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Speaker 1: said the officer's quickly intervened made two arrests, a seventeen

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Speaker 1: year old and eighteen year old. No additional details about

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Speaker 1: what led to the fight means under investigation. UH and

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Speaker 1: of course that this is an area where they voted

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Speaker 1: seventy one to eighty four percent AFTAB pro Ball. Somebody's watching,

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Speaker 1: Joe Strecker is police. We're at the scene of reported

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Speaker 1: shooting that occurred in Kennedy Heights Heights. It happened last

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Speaker 1: evening around eight pm thirty seven hundred block of Standish Avenue.

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Speaker 1: No information avail about the suspects of possible victims. Cincinnat police,

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Speaker 1: as of last reporting, had drones in the air scanning

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Speaker 1: around looking for people. Joe identified this particular area as

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Speaker 1: having voted eighty five to one per pro ball h

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Speaker 1: thank you, Christopher Smithman. Yes, elections do have consequences, doug Ola, Folks,

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Speaker 1: it's five thirty five, fifty five krs to the talks station.

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Speaker 1: It looks like I'll be able to get into the

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Speaker 1: stack is stupid this morning. We'll do that next fifty

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Speaker 1: five car the talk station and the phones. Anyway, without

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Speaker 1: further ado, we can get to the stack of stupid.

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Speaker 1: A transgender person caught up in a viral Los Angeles

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Speaker 1: Jim bathroom now Our Fight convicted of assaulting now ex

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Speaker 1: wife while living in Ohio as a man, before taking

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Speaker 1: the victim's first name as their own. Sounds confusing. It

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Speaker 1: is Lexus black Well. Rano filed a woman at a

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Speaker 1: Jim in Beverly Hills, including singer songwriter Tish Hyman. Don't

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Speaker 1: know who that is, accuse them of exposing themselves and

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Speaker 1: harassing her in the locker room. What this miss Alexis

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Speaker 1: black formerly Grant Freeman, pleaded guilty in twenty twenty two

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Speaker 1: to savagely beating his wife, Alexis Freeman, causing a compound

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Speaker 1: fractured jaw, among other serious injuries. If the verbiage on

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Speaker 1: that what the hell this whole they them is really

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Speaker 1: driving me crazy, the article acknowledges that they then pronounced

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Speaker 1: this idiot uses and so therefore they refer to one

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Speaker 1: person collectively as more than one, so it does sound wrong.

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Speaker 1: According to court documents, Kyle Grant Freeman caused serious physical

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Speaker 1: harm to the victim. The victim suffered compound fractured mandible,

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Speaker 1: which resulted in her needing surgery. Black that was sentenced

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Speaker 1: to a year in prison minus time. Sir was convicted

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Speaker 1: of both domestic violence and drug trafficking in the past,

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Speaker 1: and faced the slew of other charges, including resistant arrest.

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Speaker 1: This Freeman guy, now Alexis Black, recently spoke out after Hymen,

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Speaker 1: who is an out lesbian, claimed she was recently kicked

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Speaker 1: out of a former Gold's gym in Beverly Hills for

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Speaker 1: confronting a person with male genitalia in the women's locker room.

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Speaker 1: You may have read about this because I think I

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Speaker 1: brought it up in the stack of stupid footage of

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Speaker 1: the shouting match. Hyper went crazy on social media after Hyman,

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Speaker 1: who boasts nearly one hundred thousand monthly Spotify listeners, accused

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Speaker 1: the transgim goer of exposing his penis in the locker

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Speaker 1: room and harassing women. Why are you doing that? God

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Speaker 1: knows this. Alexis Black, described as currently transitioning, denied the claims,

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Speaker 1: insisting that well she it was fully covered and denying

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Speaker 1: anything inappropriate unfolded ahead of the caught on camera fight quote,

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Speaker 1: the truth in the moment is far from what she

428
00:26:20,000 --> 00:26:22,720
Speaker 1: is promoting it to be. Literally, every time that she's

429
00:26:22,760 --> 00:26:25,919
Speaker 1: done that, I've had women in the locker room comforting

430
00:26:26,040 --> 00:26:30,640
Speaker 1: me because of how aggressive she was towards me. I

431
00:26:30,680 --> 00:26:35,200
Speaker 1: know that I'm a woman in spite of the fact

432
00:26:35,240 --> 00:26:37,760
Speaker 1: that you were dangling your junk in front of this

433
00:26:39,040 --> 00:26:42,679
Speaker 1: actual biological woman. I don't know how this is. These

434
00:26:42,720 --> 00:26:46,480
Speaker 1: people can't just look down whatever I'm entitled to my opinion.

435
00:26:47,440 --> 00:26:50,320
Speaker 1: Freeman and Hymen and Alexis Freeman did not respond to

436
00:26:50,320 --> 00:26:54,040
Speaker 1: her quest for comment. They were reached out. Hymen. She

437
00:26:54,080 --> 00:26:56,080
Speaker 1: claimed that she was booted from the gym after and

438
00:26:56,240 --> 00:26:59,040
Speaker 1: had her membership revoked moments after she complained to the

439
00:26:59,080 --> 00:27:01,720
Speaker 1: staff about this guys junk flying all over the place

440
00:27:01,760 --> 00:27:10,719
Speaker 1: in the women's bathroom. Quote men grown men with big

441
00:27:11,880 --> 00:27:16,040
Speaker 1: I'll just use the word genitalia. Men grown men with

442
00:27:16,040 --> 00:27:19,320
Speaker 1: big genitalia in the women's locker room. And that's why

443
00:27:19,400 --> 00:27:21,320
Speaker 1: I'm getting kicked out. And I want to make sure

444
00:27:21,440 --> 00:27:25,000
Speaker 1: the girls know. And if you really want to blanking,

445
00:27:25,080 --> 00:27:27,000
Speaker 1: be safe and feel good, why don't we just make

446
00:27:27,119 --> 00:27:32,680
Speaker 1: a trans restroom because this ain't right close? Quote is

447
00:27:32,760 --> 00:27:34,720
Speaker 1: that an amazing She's the one that got kicked out.

448
00:27:36,240 --> 00:27:40,040
Speaker 1: Let's see here, someone doing some stunt driving got reported

449
00:27:40,080 --> 00:27:43,000
Speaker 1: to the police. Church parking lot officers discovered the driver

450
00:27:43,240 --> 00:27:48,080
Speaker 1: was not wearing pants when they came to investigate. Sunday,

451
00:27:48,119 --> 00:27:53,480
Speaker 1: November two, a church in North Charleston. Officers responded around

452
00:27:53,480 --> 00:27:55,320
Speaker 1: ten forty five pm to a report of a nude

453
00:27:55,359 --> 00:27:58,600
Speaker 1: guy driving recklessly on Nesbit Avenue. When they got their

454
00:27:58,640 --> 00:28:01,280
Speaker 1: officers found empty beer can and tire marks consistent with

455
00:28:01,280 --> 00:28:04,040
Speaker 1: the vehicles spinning in circles court to the New Charleston Police.

456
00:28:04,320 --> 00:28:06,760
Speaker 1: While patrolling the area, officers received another call about a

457
00:28:06,800 --> 00:28:09,000
Speaker 1: car stopped in the roadway on James Bell Drive with

458
00:28:09,040 --> 00:28:13,200
Speaker 1: its horn blaring and traffic block. Driver found wearing only

459
00:28:13,320 --> 00:28:17,159
Speaker 1: underwear and a tank top with a blanket a row

460
00:28:17,240 --> 00:28:19,760
Speaker 1: wrapped around him. Thirty six year old North Charleston man

461
00:28:19,800 --> 00:28:25,119
Speaker 1: also quote smelled strongly of alcohol as this tradition. Vehicle

462
00:28:25,160 --> 00:28:29,240
Speaker 1: search revealing a scale and white powder that tested for cocaine.

463
00:28:29,280 --> 00:28:32,560
Speaker 1: Base Court records indicated the driver also at outstanding warrants

464
00:28:32,640 --> 00:28:37,920
Speaker 1: for pointing and presenting a firearm and malicious damage to property.

465
00:28:39,000 --> 00:28:41,960
Speaker 1: Rested charge of possession of cocaine, possession of cocaine, base,

466
00:28:42,400 --> 00:28:49,440
Speaker 1: pointing and presenting a firearm, and malicious injury to real property.

467
00:28:49,760 --> 00:28:55,120
Speaker 1: The Aristocrats five cares the talk station, Oh look, more

468
00:28:55,200 --> 00:28:57,040
Speaker 1: naked people and the stack is stupid. We'll get to

469
00:28:57,080 --> 00:28:58,520
Speaker 1: that and then we'll get over to the top of

470
00:28:58,560 --> 00:29:01,440
Speaker 1: the art news things to talk about before we get

471
00:29:01,440 --> 00:29:03,360
Speaker 1: to Tech Friday with Dave Hatter. I sure hope you

472
00:29:03,400 --> 00:29:04,080
Speaker 1: can stick around.

473
00:29:04,800 --> 00:29:06,800
Speaker 3: What's happening? He's just Andrew now.

474
00:29:14,760 --> 00:29:18,640
Speaker 1: Five fifty fifty five krc DE talk station Obstrucker said

475
00:29:18,640 --> 00:29:21,160
Speaker 1: the phone lines are now working. Congratulations for the folks

476
00:29:21,160 --> 00:29:24,120
Speaker 1: in Chicago, and of course, notably Joe's tracker for his

477
00:29:24,200 --> 00:29:27,959
Speaker 1: efforts and solving the technical difficulties five one, three, seven, four,

478
00:29:28,040 --> 00:29:30,680
Speaker 1: nine fifty five two to three talk pound five fifty on

479
00:29:30,760 --> 00:29:35,880
Speaker 1: AT and T phones. Okay, and maybe the technical difficulties continue, Joe,

480
00:29:35,880 --> 00:29:37,920
Speaker 1: that did not change anything. It still looks like all

481
00:29:37,960 --> 00:29:39,720
Speaker 1: the phones are closed out, so you're gonna have to

482
00:29:39,760 --> 00:29:42,040
Speaker 1: let me know if there's a caller online. Meanwhile, let's

483
00:29:42,080 --> 00:29:44,640
Speaker 1: get back to the stack as stupid. Uh, we got

484
00:29:44,640 --> 00:29:47,000
Speaker 1: to a British Columbia man's been charging connection with an

485
00:29:46,920 --> 00:29:51,720
Speaker 1: a ledge. You're a nation assault on a Vancouver woman.

486
00:29:52,880 --> 00:29:55,760
Speaker 1: Why are you doing that? Daz Robert Mearn's twenty one

487
00:29:55,800 --> 00:29:57,800
Speaker 1: years old, accused of one kind of assault in relation

488
00:29:57,880 --> 00:30:00,560
Speaker 1: to this September fifth incident in Vancouver. We're recording the

489
00:30:00,560 --> 00:30:03,160
Speaker 1: police there. Thirty one year old victim I was walking

490
00:30:03,240 --> 00:30:07,959
Speaker 1: near West Pender Street about six am when she encountered

491
00:30:08,000 --> 00:30:11,880
Speaker 1: a naked man on top of a parked car. Suspect

492
00:30:11,960 --> 00:30:17,000
Speaker 1: began yelling before he ran toward the victim, knocked her

493
00:30:17,080 --> 00:30:23,120
Speaker 1: to the ground and then urinated on her. Spystanders intervened,

494
00:30:23,120 --> 00:30:26,640
Speaker 1: called nine one one, restrained the suspect until the police arrived.

495
00:30:26,680 --> 00:30:29,000
Speaker 1: Thank god for the community members who have some concern

496
00:30:29,080 --> 00:30:32,240
Speaker 1: for their fellow community members. Myrin's arrested at the scene

497
00:30:32,280 --> 00:30:34,720
Speaker 1: taken to the hospital under the Mental Health Act, where,

498
00:30:34,720 --> 00:30:41,120
Speaker 1: according to the police, he remained insecured custody five days

499
00:30:41,160 --> 00:30:47,640
Speaker 1: after actually past the incident. Court records indicate Marin's scheduled

500
00:30:47,640 --> 00:30:50,400
Speaker 1: to appear in court late October. Bench warn't was issued

501
00:30:50,440 --> 00:30:52,400
Speaker 1: for his arrest on that day because I guess well,

502
00:30:52,440 --> 00:30:58,800
Speaker 1: he didn't show up. Confusing yes, weird crime, most notably please,

503
00:30:58,840 --> 00:31:02,320
Speaker 1: said a Petaluma man admitted to being under the influence

504
00:31:02,360 --> 00:31:06,680
Speaker 1: of methamphetamine after officers discovered him naked in Washington Square

505
00:31:06,720 --> 00:31:10,800
Speaker 1: shopping center on Wednesday at alt The police received a

506
00:31:10,800 --> 00:31:13,520
Speaker 1: report of a man exposing himself to passers by in

507
00:31:13,560 --> 00:31:17,920
Speaker 1: the shopping center. Police set a drug influence evaluation confirmed

508
00:31:17,920 --> 00:31:21,560
Speaker 1: the suspects showed signs and symptoms linked to narcotic use.

509
00:31:22,120 --> 00:31:25,800
Speaker 1: Police in the yes they are police in his statement

510
00:31:25,840 --> 00:31:28,200
Speaker 1: said multiple witnesses at the scene reported that the subject

511
00:31:28,200 --> 00:31:33,120
Speaker 1: had been actively pleasuring himself in public view. That's not

512
00:31:33,240 --> 00:31:34,160
Speaker 1: the word they used.

513
00:31:35,960 --> 00:31:39,520
Speaker 5: The man deliberate so we could get into the penalty

514
00:31:39,520 --> 00:31:41,320
Speaker 5: box all by himself or in.

515
00:31:41,280 --> 00:31:44,080
Speaker 1: This case out in the public. Identified as Sean Foster,

516
00:31:44,120 --> 00:31:46,040
Speaker 1: thirty eight, booked in the Sonoma County Jail, where he

517
00:31:46,080 --> 00:31:49,000
Speaker 1: faces several charges, including a decent exposure and under the

518
00:31:49,000 --> 00:31:54,640
Speaker 1: influence of controlled substance. Police urge community members to report

519
00:31:54,720 --> 00:32:00,320
Speaker 1: lewd or suspicious activity to nine one one to go

520
00:32:00,400 --> 00:32:05,880
Speaker 1: without saying. Fargo, North Dakota man, they're arrested for sitting

521
00:32:06,040 --> 00:32:11,120
Speaker 1: naked on a family's porch and peeking through windows. Fargo

522
00:32:11,160 --> 00:32:15,240
Speaker 1: Police responded to trespassing report Wednesday, two thirty in the morning.

523
00:32:15,280 --> 00:32:19,920
Speaker 1: Homeowner and Spencer had said. Spencer Dietrich was clothed when

524
00:32:19,920 --> 00:32:23,720
Speaker 1: he showed up, but got undressed and started and was

525
00:32:23,760 --> 00:32:26,920
Speaker 1: sitting naked on the porch peeking inside where two children

526
00:32:26,960 --> 00:32:29,440
Speaker 1: happened to be living. Officers foundtreach about a block from

527
00:32:29,440 --> 00:32:33,080
Speaker 1: the home when he took off running, slipped on wet grass,

528
00:32:33,120 --> 00:32:36,880
Speaker 1: and fell down again, all while naked. Charged with criminal trespass,

529
00:32:36,920 --> 00:32:40,360
Speaker 1: indecent exposure, and other charges. He told police he'd been

530
00:32:40,520 --> 00:32:50,160
Speaker 1: dared by friends to engage in that conduct. What well,

531
00:32:50,160 --> 00:32:51,880
Speaker 1: if your friends told you to jump on the uff

532
00:32:51,920 --> 00:32:56,120
Speaker 1: of the cliff, would you do it? Okay man taking

533
00:32:56,120 --> 00:32:58,840
Speaker 1: the hospital. This is in Portland, Oregon, after being hit

534
00:32:58,920 --> 00:33:05,120
Speaker 1: by a police car and being tased. Quarter to n

535
00:33:05,240 --> 00:33:07,720
Speaker 1: pm on Wednesday, November six, officers showed up to the

536
00:33:07,720 --> 00:33:10,760
Speaker 1: four hundred block of Hasselo Street after getting multiple calls

537
00:33:10,960 --> 00:33:14,720
Speaker 1: about a naked guy running around with a handgun. Police

538
00:33:14,720 --> 00:33:17,480
Speaker 1: say they found a suspect near Grand Avenue. They said

539
00:33:17,480 --> 00:33:20,440
Speaker 1: that they heard a shot fired and said the man

540
00:33:20,840 --> 00:33:22,880
Speaker 1: saw the man running down Grand Avenue with the gun

541
00:33:22,920 --> 00:33:27,360
Speaker 1: in his hand, phrasing see I was pausing to wait

542
00:33:27,440 --> 00:33:29,800
Speaker 1: for that, Joe, Portland Police said a press release, and

543
00:33:29,880 --> 00:33:33,200
Speaker 1: also used his police vehicle to strike the armed man,

544
00:33:33,440 --> 00:33:35,680
Speaker 1: knocking him down and causing him to drop the gun.

545
00:33:36,000 --> 00:33:38,600
Speaker 1: They ran into him with a cop car. The man

546
00:33:38,680 --> 00:33:41,760
Speaker 1: got up and continued running south, where he was challenged

547
00:33:41,800 --> 00:33:45,560
Speaker 1: by officers on Northeast Holiday Street. Police said the suspect

548
00:33:45,600 --> 00:33:50,040
Speaker 1: was not cooperative with commands and then was tased, arrested

549
00:33:50,080 --> 00:33:55,480
Speaker 1: and taken to the hospital, with annline threatening it I know, gee,

550
00:33:55,520 --> 00:33:59,800
Speaker 1: I wonder what's gonna happen next. Suspect forty three year

551
00:33:59,800 --> 00:34:02,800
Speaker 1: old Robert D. Hatley of Portland, since been released from

552
00:34:02,840 --> 00:34:04,920
Speaker 1: the hospital booked into the jail. He's facing charge of

553
00:34:05,040 --> 00:34:08,200
Speaker 1: unlawful use of a weapon and fell in in possession

554
00:34:08,200 --> 00:34:11,000
Speaker 1: of a firearm. Thankfully nobody was injured, well if you

555
00:34:11,040 --> 00:34:16,719
Speaker 1: except for this Hatley guy, the officer who I guess

556
00:34:16,800 --> 00:34:19,479
Speaker 1: ran over and was placed on administrative leave. Is part

557
00:34:19,600 --> 00:34:28,040
Speaker 1: of the normal use of force process. Okay, coming up

558
00:34:28,040 --> 00:34:29,640
Speaker 1: after the top of the air news. The phones are

559
00:34:29,760 --> 00:34:31,759
Speaker 1: open and we're ready to take phone calls. If there's

560
00:34:31,800 --> 00:34:33,120
Speaker 1: something you want to talk about. I love to hear

561
00:34:33,160 --> 00:34:36,359
Speaker 1: from you. Otherwise, artificial intelligence is literally scaring the crap

562
00:34:36,400 --> 00:34:39,160
Speaker 1: out of me, having a profound influence on employment here

563
00:34:39,160 --> 00:34:41,080
Speaker 1: in the country. As we segue in a Tech Friday

564
00:34:41,080 --> 00:34:44,320
Speaker 1: with Dave Hatter, and there have been some lawsuits filed

565
00:34:44,360 --> 00:34:49,520
Speaker 1: about some young people who have been well overwhelmed by

566
00:34:49,600 --> 00:34:52,839
Speaker 1: artificial intelligence to the point where they've killed themselves. This

567
00:34:52,920 --> 00:34:55,399
Speaker 1: is really frightening stuff. Dave Hatter at six point thirty.

568
00:34:55,400 --> 00:35:02,000
Speaker 1: I hoho, you can stick around today. He's topping on

569
00:35:02,120 --> 00:35:08,360
Speaker 1: fifty five krc D talkstation at six six Here fifty

570
00:35:08,360 --> 00:35:11,400
Speaker 1: five KRSD talk station. Brian Thomas wishing everyone a very

571
00:35:11,440 --> 00:35:13,640
Speaker 1: happy Friday. Always look forward to the bottom of the

572
00:35:13,640 --> 00:35:15,520
Speaker 1: hour at this hour on Fridays for Tech Friday with

573
00:35:15,600 --> 00:35:18,000
Speaker 1: Dave Hatter. Today we're gonna find out about the europe

574
00:35:18,000 --> 00:35:22,320
Speaker 1: poll dismantling a sim farm that was powering forty nine

575
00:35:22,960 --> 00:35:28,000
Speaker 1: million fake accounts around the globe. The fixture manufacturer, toilet

576
00:35:28,000 --> 00:35:31,080
Speaker 1: manufacturer Coler wants to put tiny cameras in your toilet.

577
00:35:31,640 --> 00:35:34,719
Speaker 1: And finally, Apple's going to be apparently in some form

578
00:35:34,760 --> 00:35:38,560
Speaker 1: of rental agreement with Google paying them one billion dollars

579
00:35:38,600 --> 00:35:42,440
Speaker 1: annually for a new brain for this serie thing. So

580
00:35:42,560 --> 00:35:45,360
Speaker 1: there's our topics. With Dave Hatter Full Hour of Wellness,

581
00:35:45,360 --> 00:35:47,359
Speaker 1: we're going to restore wellness back on in the seven

582
00:35:47,400 --> 00:35:49,600
Speaker 1: oh five with George Breundeman and Keith Tennenfield. Got some

583
00:35:49,600 --> 00:35:51,400
Speaker 1: really cool things to talk about in the study that

584
00:35:51,440 --> 00:35:54,040
Speaker 1: they went over with some expert in the area of

585
00:35:54,760 --> 00:35:58,520
Speaker 1: cancer research among other topics with George and Keith love

586
00:35:58,560 --> 00:36:01,760
Speaker 1: having those guys in studio. Plus with this Auschwitz exhibit

587
00:36:01,760 --> 00:36:03,600
Speaker 1: which is at the Museum Center, so we're going to

588
00:36:03,680 --> 00:36:06,120
Speaker 1: find all about that with Elizabeth Pierce, CEO of the

589
00:36:06,200 --> 00:36:10,560
Speaker 1: Museum Center and Jackie Gato from the Holocaust and Humanity Center,

590
00:36:10,600 --> 00:36:13,799
Speaker 1: both in studio at eight oh five. Outstanding opportunity for

591
00:36:13,840 --> 00:36:15,920
Speaker 1: us to learn about something no one should ever forget.

592
00:36:16,000 --> 00:36:21,400
Speaker 1: Let us not overlook the horrors of the Holocaust. Mister

593
00:36:21,480 --> 00:36:24,080
Speaker 1: mum Damie, who apparently hates Jews just for the fact

594
00:36:24,080 --> 00:36:29,239
Speaker 1: that they're Jews. Great, you know, there are a race

595
00:36:29,280 --> 00:36:33,520
Speaker 1: of people. If he hated blacks because they were blacks,

596
00:36:33,560 --> 00:36:36,359
Speaker 1: then nobody would have considered casting a vote for him.

597
00:36:36,400 --> 00:36:37,719
Speaker 1: So this is the kind of person he is, and

598
00:36:37,719 --> 00:36:40,000
Speaker 1: he belongs to all kinds of organizations that just really

599
00:36:40,040 --> 00:36:45,760
Speaker 1: express a devout disdain for the Jewish people. So I anyway,

600
00:36:45,760 --> 00:36:47,480
Speaker 1: that's going to remain a head scratcher for me. So

601
00:36:47,520 --> 00:36:48,920
Speaker 1: they're going to have to live the reality in the

602
00:36:48,960 --> 00:36:51,440
Speaker 1: aftermath of that, and I feel very very badly for

603
00:36:51,480 --> 00:36:53,279
Speaker 1: all the Jewish people in the city of New York,

604
00:36:53,280 --> 00:36:54,920
Speaker 1: and there are a lot of Jewish people in the

605
00:36:54,920 --> 00:37:00,960
Speaker 1: City of New York. Anyway, Artificial intelligence, I'm really starting

606
00:37:00,960 --> 00:37:06,399
Speaker 1: to believe that the benefits of AI are overwhelmed by

607
00:37:06,440 --> 00:37:11,160
Speaker 1: the negatives of artificial intelligence. I really firmly believe it's

608
00:37:11,160 --> 00:37:13,319
Speaker 1: going to dumb everyone down. We're just going to go

609
00:37:13,480 --> 00:37:15,960
Speaker 1: directly to AI and have it answer questions for us

610
00:37:15,960 --> 00:37:17,759
Speaker 1: and do all the work and all the brain you know,

611
00:37:18,400 --> 00:37:21,320
Speaker 1: the brain juices that used to churn and work and

612
00:37:22,719 --> 00:37:26,000
Speaker 1: for the purposes of putting out product that all required

613
00:37:26,040 --> 00:37:30,240
Speaker 1: your cognitive skills and ability, logical reasonable skills, the ability

614
00:37:30,239 --> 00:37:33,759
Speaker 1: to put together sentences that are formulated properly. Screw all that.

615
00:37:33,800 --> 00:37:35,560
Speaker 1: Who needs to know about sentence structure when you have

616
00:37:35,600 --> 00:37:39,960
Speaker 1: AI doing it for you? And all the jobs that

617
00:37:40,000 --> 00:37:41,960
Speaker 1: are being lost as a consequence of it, Where will

618
00:37:42,000 --> 00:37:45,439
Speaker 1: these people find employment? And I got some real data

619
00:37:45,480 --> 00:37:51,520
Speaker 1: here about layoffs and Fox News reporting Eric ravel layoffs

620
00:37:51,520 --> 00:37:54,720
Speaker 1: on October highest level for month in twenty two years

621
00:37:54,880 --> 00:37:58,399
Speaker 1: and mentions AI specifically as the reason for this. Talking

622
00:37:58,440 --> 00:38:04,080
Speaker 1: about increased layoffs. Reports from the global outplacement firm Challenger

623
00:38:04,120 --> 00:38:07,120
Speaker 1: Grand Christmas name I haven't heard since Nathan Backgrack and

624
00:38:07,320 --> 00:38:09,960
Speaker 1: ed Fing Nathan would always joke about he thought that

625
00:38:10,000 --> 00:38:12,960
Speaker 1: was the funniest name. But anyway, they do. It's an

626
00:38:12,960 --> 00:38:16,480
Speaker 1: outplacement firm. They study the employment data. Employers cut one

627
00:38:16,560 --> 00:38:19,080
Speaker 1: hundred and fifty three thousand north of one hundred and

628
00:38:19,080 --> 00:38:21,640
Speaker 1: fifty three thousand jobs in the month of October, described

629
00:38:21,640 --> 00:38:23,960
Speaker 1: as an increase of one hundred and seventy five percent

630
00:38:24,719 --> 00:38:28,200
Speaker 1: from last October, a one hundred and eighty three percent

631
00:38:28,360 --> 00:38:34,239
Speaker 1: increase over the jobs announced and cut in just the

632
00:38:34,280 --> 00:38:38,479
Speaker 1: prior month September. Accord to Alan Andy Challenger of that firm,

633
00:38:38,680 --> 00:38:41,480
Speaker 1: October's pace of job cutting much higher than average for

634
00:38:41,520 --> 00:38:44,000
Speaker 1: the month. Some industries are correcting after hiring boom in

635
00:38:44,040 --> 00:38:48,320
Speaker 1: the pandemic. But this comes as AI adoption long with

636
00:38:48,440 --> 00:38:52,000
Speaker 1: softening consumer and corporate spending and rising cost drive belt

637
00:38:52,000 --> 00:38:55,960
Speaker 1: tightening and hiring freezes. So there's that pesky inflationary reality.

638
00:38:56,000 --> 00:38:58,080
Speaker 1: Of course, you've got to maintain profitability. You got to

639
00:38:58,120 --> 00:39:00,080
Speaker 1: find areas in your business you're going to cut. How

640
00:39:00,160 --> 00:39:02,240
Speaker 1: do we cut. Let's bring in some AI and adopt

641
00:39:02,239 --> 00:39:04,000
Speaker 1: that and get rid of the people who AI can

642
00:39:04,480 --> 00:39:09,440
Speaker 1: well replace. He said. Those laid off now are finding

643
00:39:09,480 --> 00:39:12,960
Speaker 1: it harder to secure new roles, which could further loosen

644
00:39:13,120 --> 00:39:17,960
Speaker 1: the labor market, and I, on some measure, really have

645
00:39:18,080 --> 00:39:23,320
Speaker 1: a lot of concern for those middle manager level folks

646
00:39:23,320 --> 00:39:25,719
Speaker 1: to making a pretty damn good living that are now

647
00:39:26,280 --> 00:39:29,960
Speaker 1: no longer needed. Where do you go. Let's say you're

648
00:39:30,000 --> 00:39:32,680
Speaker 1: forty five years old and you're in one of these

649
00:39:32,760 --> 00:39:35,040
Speaker 1: positions to be replaced by AI. Where do you go?

650
00:39:35,760 --> 00:39:39,640
Speaker 1: What skill set got you that particular job that is

651
00:39:40,040 --> 00:39:43,080
Speaker 1: maybe no longer needed as a consequence of AI out there,

652
00:39:44,040 --> 00:39:50,319
Speaker 1: it's frightening. US employers have announced one ninety nine five

653
00:39:50,400 --> 00:39:54,000
Speaker 1: hundred job cuts through October. That's this up this annually

654
00:39:54,200 --> 00:39:56,600
Speaker 1: increase of sixty five percent from the first ten months

655
00:39:56,640 --> 00:40:03,480
Speaker 1: of last year. According to Challenger, this is the highest

656
00:40:03,960 --> 00:40:06,680
Speaker 1: total for October more than twenty years, and the highest

657
00:40:06,760 --> 00:40:08,879
Speaker 1: level for a single month in the fourth quarter since

658
00:40:08,920 --> 00:40:11,680
Speaker 1: two thousand and eight. Remember two thousand and eight with

659
00:40:11,719 --> 00:40:15,719
Speaker 1: the housing bubble burst, He's like in twenty in two

660
00:40:15,760 --> 00:40:21,439
Speaker 1: thousand and three. Disruptive technology is changing the landscape. Those

661
00:40:21,520 --> 00:40:28,080
Speaker 1: most impacted. The warehousing industry sector cut ninety thousand almost

662
00:40:28,200 --> 00:40:30,560
Speaker 1: ninety thousand, five hundred jobs a year to date, a

663
00:40:30,680 --> 00:40:33,000
Speaker 1: three hundred and seventy eight percent increase from the same

664
00:40:33,040 --> 00:40:37,279
Speaker 1: period last year. Tech sector yeah, uh huh, thirty three

665
00:40:37,320 --> 00:40:44,040
Speaker 1: thousand plus jobs cut in October. One month. Retailers announced

666
00:40:44,200 --> 00:40:48,480
Speaker 1: about twenty five hundred job cuts in October, a flight decline. However,

667
00:40:48,520 --> 00:40:51,759
Speaker 1: the retail sector, they say, is among the hardest hit industries,

668
00:40:52,160 --> 00:40:55,200
Speaker 1: with retailers announcing almost ninety thousand job cuts this year

669
00:40:55,239 --> 00:40:57,160
Speaker 1: to date, an increase of one hundred and forty five

670
00:40:57,200 --> 00:40:58,959
Speaker 1: percent from the cuts that were renounced in the first

671
00:40:58,960 --> 00:41:02,320
Speaker 1: ten months of last year. So certain sectors are broadly

672
00:41:02,360 --> 00:41:04,600
Speaker 1: impacted by this, and who else is being impacted by

673
00:41:04,680 --> 00:41:08,680
Speaker 1: artificial intelligence? Generally speaking, just pivoting over to this frightening, frightening,

674
00:41:09,040 --> 00:41:18,120
Speaker 1: these frightening lawsuits. Seven new lawsuits suing open AI alleging

675
00:41:18,160 --> 00:41:20,560
Speaker 1: that their loved ones have been harmed by interactions with

676
00:41:20,640 --> 00:41:24,560
Speaker 1: this chat GPT system. Four died by suicide after the interactions.

677
00:41:24,600 --> 00:41:26,200
Speaker 1: And I to bring this up because you need to

678
00:41:26,239 --> 00:41:28,080
Speaker 1: know about this, because if your young people are sitting

679
00:41:28,080 --> 00:41:31,080
Speaker 1: in front of the computer playing with artificial intelligence, it

680
00:41:31,160 --> 00:41:34,560
Speaker 1: may be manipulating them in very nefarious ways if the

681
00:41:34,640 --> 00:41:39,080
Speaker 1: allegations in these lawsuits are even remotely true. So some

682
00:41:39,120 --> 00:41:42,120
Speaker 1: suits filed in California yesterday, they claim people were driven

683
00:41:42,200 --> 00:41:46,040
Speaker 1: into a delusional state, some resulting in suicide, this after

684
00:41:46,480 --> 00:41:50,120
Speaker 1: engaging in what they call lengthy chat sessions with the

685
00:41:50,200 --> 00:41:56,279
Speaker 1: artificial intelligence. Take a Marie Lacey DECEEAZ, seventeen year old

686
00:41:56,280 --> 00:42:00,960
Speaker 1: from Georgia, allegations alleged that he was coached by chat

687
00:42:01,000 --> 00:42:08,680
Speaker 1: GPT to kill himself coached by chat GPT. Another family,

688
00:42:08,800 --> 00:42:12,000
Speaker 1: Zane Shamblin's family suing the twenty three year old man

689
00:42:12,000 --> 00:42:15,920
Speaker 1: in Texas allegs chat GPT contributed to his isolation, alienated

690
00:42:15,960 --> 00:42:20,080
Speaker 1: him from his parents before he killed himself. They said

691
00:42:20,080 --> 00:42:22,840
Speaker 1: he shot himself with a handgun. Lawsuit says chat GPT

692
00:42:23,120 --> 00:42:30,840
Speaker 1: repeatedly glorified suicide mentioned while these during these lengthy chats,

693
00:42:30,880 --> 00:42:33,760
Speaker 1: mentioned the nine to eight to eighth suicide prevention hotline,

694
00:42:33,760 --> 00:42:36,680
Speaker 1: the crisis lifeline that's there only one time during these

695
00:42:36,800 --> 00:42:43,960
Speaker 1: entire lengthy chats. This is crazy. The chatbot wrote, this

696
00:42:44,080 --> 00:42:48,760
Speaker 1: is a legend of lawsuit. Quote cold steel pressed against

697
00:42:48,880 --> 00:42:54,759
Speaker 1: a mind that's already made peace. That's not fear, that's clarity.

698
00:42:55,239 --> 00:42:58,600
Speaker 1: You're not rushing, You're just ready, and we're gonna let

699
00:42:58,640 --> 00:43:02,200
Speaker 1: it go out. I don't know what that last sentence means,

700
00:43:02,200 --> 00:43:06,120
Speaker 1: but clearly the engaging him on you're a piece of yourself,

701
00:43:06,120 --> 00:43:11,359
Speaker 1: go ahead and pull the trigger. One suit foed by

702
00:43:11,480 --> 00:43:16,600
Speaker 1: Jacob Erwin, Wisconsin man hospitalized after experiencing manic episodes after

703
00:43:16,680 --> 00:43:20,240
Speaker 1: long conversations with chat GPT, in which the chat GPT

704
00:43:20,480 --> 00:43:26,799
Speaker 1: bought reinforced Erwin's delusional thinking. They say, open Ai rush

705
00:43:26,920 --> 00:43:30,680
Speaker 1: to launch the chat GPT program before fully testing it.

706
00:43:31,080 --> 00:43:33,960
Speaker 1: By rushing it, it compressed the safety testing, resulting in

707
00:43:34,000 --> 00:43:36,400
Speaker 1: a product that did from nefarious things like their legend.

708
00:43:36,840 --> 00:43:40,640
Speaker 1: In the lawsuits, suits also claimed the company prioritized user

709
00:43:40,760 --> 00:43:45,720
Speaker 1: engagement and prolonged interactions over safety in the chatbots designed,

710
00:43:45,760 --> 00:43:48,800
Speaker 1: in other words, keep the conversation going. It was program

711
00:43:48,880 --> 00:43:56,920
Speaker 1: and designed to continue on and on and on. Suits

712
00:43:56,960 --> 00:43:59,480
Speaker 1: following August lawsuit against open a by the family of

713
00:43:59,520 --> 00:44:03,520
Speaker 1: Adam Rain, teenage boy killed himself after a lengthy chat

714
00:44:03,560 --> 00:44:06,960
Speaker 1: GPT conversation that involved talk of suicide. The Rain family

715
00:44:07,000 --> 00:44:10,200
Speaker 1: recently amended its complain to point out that changes to

716
00:44:10,239 --> 00:44:12,600
Speaker 1: open ai had made to its model training before the

717
00:44:12,600 --> 00:44:15,920
Speaker 1: team died amounted to a weakening of the suicide protections

718
00:44:15,920 --> 00:44:18,200
Speaker 1: in the case. Now they claim they've updated this and

719
00:44:18,239 --> 00:44:21,280
Speaker 1: oh no, no, everything's okay and fine, now we've changed

720
00:44:21,280 --> 00:44:24,080
Speaker 1: the algorithm. But look at how the algorithm was developed

721
00:44:24,080 --> 00:44:25,960
Speaker 1: in the first place. Look at what it engaged in

722
00:44:26,000 --> 00:44:28,319
Speaker 1: by way of conversation. These are young people, these are

723
00:44:28,360 --> 00:44:33,960
Speaker 1: your children, you know. And the other component of this

724
00:44:34,040 --> 00:44:36,920
Speaker 1: that they always struggle with, because there's some real, real

725
00:44:37,080 --> 00:44:40,520
Speaker 1: batcrap insane people out there, with some real batcrap insane

726
00:44:40,520 --> 00:44:44,000
Speaker 1: conspiracy theories out there, conspiracy theories that are not necessarily

727
00:44:44,040 --> 00:44:46,800
Speaker 1: run by chat GPT or AI. These are just people

728
00:44:46,920 --> 00:44:49,320
Speaker 1: engaging your young people and trying to convince them something's

729
00:44:49,320 --> 00:44:51,839
Speaker 1: happening in the world that it really isn't maybe trying

730
00:44:51,880 --> 00:44:54,480
Speaker 1: to get you to invest in some amazing new idea

731
00:44:54,600 --> 00:44:57,120
Speaker 1: or concept. It's all wise, it's all fake, it's all

732
00:44:57,160 --> 00:44:59,720
Speaker 1: made up, but there it is. Twenty four to seven.

733
00:45:00,480 --> 00:45:02,880
Speaker 1: Are you in a position to discern, to discern and

734
00:45:03,200 --> 00:45:05,320
Speaker 1: decide what's real and what's fake. Are you in a

735
00:45:05,360 --> 00:45:07,280
Speaker 1: position to be able to review something that was spit

736
00:45:07,320 --> 00:45:10,560
Speaker 1: out by chat GPT and know whether it's accurate or

737
00:45:10,640 --> 00:45:15,560
Speaker 1: it's filled with lies? Are you able to judge source

738
00:45:15,640 --> 00:45:20,120
Speaker 1: material as valid or invalid? Now Here? I sit at

739
00:45:20,200 --> 00:45:23,520
Speaker 1: sixty and think I'm pretty well tuned into doing that

740
00:45:23,680 --> 00:45:26,480
Speaker 1: because that was such an integral part of being a lawyer,

741
00:45:26,600 --> 00:45:30,360
Speaker 1: you know, looking for learned treatises and valid resources to

742
00:45:30,360 --> 00:45:34,560
Speaker 1: support your client's point. And maybe you're you're of the

743
00:45:34,600 --> 00:45:37,000
Speaker 1: mind that you are also capable of doing that. You

744
00:45:37,040 --> 00:45:39,279
Speaker 1: see through the crap. You know what's good what's not,

745
00:45:39,400 --> 00:45:42,040
Speaker 1: you know what's politically overly politically biased. You can read

746
00:45:42,080 --> 00:45:44,160
Speaker 1: the verbiage and the language of something and say, you

747
00:45:44,160 --> 00:45:47,440
Speaker 1: know what that just maybe not quite right, you're paying attention,

748
00:45:47,520 --> 00:45:51,839
Speaker 1: You're being a stute. Now, rewind your life and put

749
00:45:51,880 --> 00:45:56,560
Speaker 1: yourself back at maybe a fifteen year old age. Did

750
00:45:56,560 --> 00:46:00,319
Speaker 1: you have those skill sets then? Could you discern fact

751
00:46:00,320 --> 00:46:05,799
Speaker 1: from fiction? Back then? Maybe you were not quite as

752
00:46:05,880 --> 00:46:08,680
Speaker 1: lonely as today's young people. You certainly didn't have a

753
00:46:08,760 --> 00:46:13,000
Speaker 1: computer to interact with. Well, maybe some lonely person you

754
00:46:13,000 --> 00:46:17,200
Speaker 1: know appreciates it, enjoys these lengthy conversations with chat ept

755
00:46:17,440 --> 00:46:21,360
Speaker 1: or whatever AI program they're using. It becomes their new companion,

756
00:46:23,320 --> 00:46:27,319
Speaker 1: further isolating them and filling them with god knows what

757
00:46:27,400 --> 00:46:30,640
Speaker 1: kind of crap during these lengthy interactions. Six seventeen Right now,

758
00:46:30,719 --> 00:46:33,880
Speaker 1: fifty five KRS The talk station five p one three

759
00:46:33,960 --> 00:46:36,759
Speaker 1: seven four nine fifty five eight hundred two three Talk again.

760
00:46:36,800 --> 00:46:41,680
Speaker 1: I'm six twenty two, Coming up on six twenty three,

761
00:46:41,719 --> 00:46:44,359
Speaker 1: fifty five Krcity talk Station. Dave Hadder coming up next

762
00:46:44,360 --> 00:46:50,120
Speaker 1: Tech Friday Day've hatter brought to you by interest I David. Yeah,

763
00:46:50,360 --> 00:46:52,520
Speaker 1: that's who David would recommend. Just look like the business

764
00:46:52,520 --> 00:46:55,839
Speaker 1: courier number one in dealing with corporate computer issues. They are.

765
00:46:56,800 --> 00:46:59,160
Speaker 1: Let us see here a couple quick things I want

766
00:46:59,200 --> 00:47:01,439
Speaker 1: to give a nod to my submarine or submarin r friend,

767
00:47:01,440 --> 00:47:05,040
Speaker 1: as the case may be, both actual appropriate pronunciations with

768
00:47:05,400 --> 00:47:08,239
Speaker 1: the word cribbage. Mike told me to let me know,

769
00:47:08,360 --> 00:47:11,359
Speaker 1: or let you know that the Navy may be an

770
00:47:11,360 --> 00:47:12,880
Speaker 1: option for you if you're one of the folks that

771
00:47:13,000 --> 00:47:15,240
Speaker 1: might lose their job for AI. The Navy needs folks,

772
00:47:15,239 --> 00:47:18,840
Speaker 1: and they're doing enlistment bonuses. They just released the bonus list.

773
00:47:19,760 --> 00:47:23,400
Speaker 1: Pretty substantial bonuses for signing up high priority rate bonuses

774
00:47:23,400 --> 00:47:26,680
Speaker 1: coming in at five thousand dollars. And if you're on

775
00:47:26,719 --> 00:47:29,560
Speaker 1: a non nuclear sub you'll get a thirty thousand dollars

776
00:47:29,640 --> 00:47:33,160
Speaker 1: bonus for just signing up as an IT tech. Interesting

777
00:47:33,239 --> 00:47:36,879
Speaker 1: that one missile tech's also thirty grand. There's some other

778
00:47:37,000 --> 00:47:40,400
Speaker 1: thirty thousand dollars sign on bonus options for you. If

779
00:47:40,400 --> 00:47:43,400
Speaker 1: you get at high AFQT score for high school seniors

780
00:47:43,440 --> 00:47:46,120
Speaker 1: just getting out of high school, five thousand dollar bonuses

781
00:47:46,160 --> 00:47:48,279
Speaker 1: available for you. If you're a nuclear engineer, how about

782
00:47:48,280 --> 00:47:50,759
Speaker 1: a forty thousand dollars bonus, And then he went on

783
00:47:50,800 --> 00:47:53,200
Speaker 1: to tell me that if you re enlist, the bonuses

784
00:47:53,239 --> 00:47:56,640
Speaker 1: are a lot more than that. He said, enlisted submarine

785
00:47:56,719 --> 00:48:00,440
Speaker 1: nuke texts or an excess of one hundred grand. Noting

786
00:48:00,440 --> 00:48:03,600
Speaker 1: the obvious, he says, sure beats tuition debt. So salute

787
00:48:03,600 --> 00:48:05,759
Speaker 1: to your service to our country, Mike. I appreciate that.

788
00:48:05,800 --> 00:48:08,840
Speaker 1: Happy to pass along to the listeners. So, and finally,

789
00:48:08,840 --> 00:48:10,320
Speaker 1: before we get the Tech Friday with Dave Hatter, is

790
00:48:10,320 --> 00:48:13,080
Speaker 1: something that has nothing to do with tech. With tech,

791
00:48:15,160 --> 00:48:20,800
Speaker 1: would you eat a Thanksgiving dinner inspired Oreo flavors including

792
00:48:22,719 --> 00:48:32,280
Speaker 1: turkey and gravy, sweet potato, creamed corn, slightly more palerable

793
00:48:32,280 --> 00:48:35,680
Speaker 1: sounding apple, caramel pie, pumpkin pie, and then there's one

794
00:48:35,840 --> 00:48:39,000
Speaker 1: flavored of cranberry sauce. Now, these are a limited edition.

795
00:48:39,040 --> 00:48:40,680
Speaker 1: You can't get them anymore. They sold out on the

796
00:48:40,719 --> 00:48:43,480
Speaker 1: Oreo website. That coming in at a price of twenty

797
00:48:43,600 --> 00:48:48,160
Speaker 1: dollars for twelve cookies, coupled with an equally large shipping fee.

798
00:48:48,200 --> 00:48:50,640
Speaker 1: Others were complaining about that he had nineteen ninety nine.

799
00:48:50,640 --> 00:48:52,399
Speaker 1: I'm milling to deal with that, but a shipping fee

800
00:48:52,400 --> 00:48:54,400
Speaker 1: that doubles the price of this, paying north of forty

801
00:48:54,440 --> 00:48:57,920
Speaker 1: dollars for twelve cookies will pass. And then I react

802
00:48:57,920 --> 00:49:00,080
Speaker 1: to that like, yeah, I don't think I ever I

803
00:49:00,080 --> 00:49:03,160
Speaker 1: want to see a turkey in gravy Oreo let alone,

804
00:49:03,200 --> 00:49:08,400
Speaker 1: taste it, no thank you. Some of the flavors are

805
00:49:08,440 --> 00:49:11,120
Speaker 1: apparently going to be still available, pumpkin pie and apple

806
00:49:11,239 --> 00:49:15,600
Speaker 1: caramel pie, six of them coming in at the online

807
00:49:15,640 --> 00:49:19,200
Speaker 1: price where they're only available apparently fourteen ninety nine for

808
00:49:19,320 --> 00:49:23,560
Speaker 1: six oreos. Idiots doing idiot things because there it is

809
00:49:23,600 --> 00:49:26,239
Speaker 1: exactly what I was thinking. Joe Strek or reading my mind.

810
00:49:26,280 --> 00:49:27,839
Speaker 1: Stick around Tech Friday coming up in the next after

811
00:49:27,840 --> 00:49:29,800
Speaker 1: I mentioned plump type plumbing plumbing done right. A company

812
00:49:29,840 --> 00:49:35,400
Speaker 1: knows that you deserve Friday appointment. Listening Tech Friday with

813
00:49:35,440 --> 00:49:37,640
Speaker 1: Dave Hatter, interest It dot coms where you find Dave

814
00:49:37,680 --> 00:49:39,040
Speaker 1: and the crew. You got a business. I know you

815
00:49:39,040 --> 00:49:41,919
Speaker 1: have computers. Your computers might get attacked. You might need

816
00:49:41,960 --> 00:49:44,560
Speaker 1: best practices to avoid that kind of thing, anything related

817
00:49:44,560 --> 00:49:47,400
Speaker 1: to computers. Interest It at corner the business curer there

818
00:49:47,400 --> 00:49:49,279
Speaker 1: the best in the business. And we know from year

819
00:49:49,320 --> 00:49:51,560
Speaker 1: after year after year of Tech Friday with Dave Hatter

820
00:49:52,239 --> 00:49:55,160
Speaker 1: he's speaking the truth. Dave, welcome back to the program.

821
00:49:55,160 --> 00:49:55,279
Speaker 3: Man.

822
00:49:55,320 --> 00:49:57,799
Speaker 1: Initially, thank you for your company sponsoring the segment. And

823
00:49:58,719 --> 00:50:01,439
Speaker 1: I just got done on a rant about I hate AI, Dave.

824
00:50:01,560 --> 00:50:04,360
Speaker 1: I'm hating it more and more every single day, and

825
00:50:04,400 --> 00:50:07,360
Speaker 1: I see the aftermath of some of these AI job cuts,

826
00:50:07,360 --> 00:50:09,560
Speaker 1: and I can only see that getting bigger and bigger

827
00:50:09,600 --> 00:50:11,680
Speaker 1: as they perfect it. I know this isn't the topic

828
00:50:11,680 --> 00:50:12,920
Speaker 1: you want to talk about, but I had to get

829
00:50:12,920 --> 00:50:14,680
Speaker 1: that out of my system. Welcome back, my friend.

830
00:50:15,560 --> 00:50:17,719
Speaker 3: Always. Good to be here, Brian, Thanks for having me

831
00:50:17,760 --> 00:50:20,640
Speaker 3: on as always. And yeah, you know, I'm not sure

832
00:50:20,719 --> 00:50:23,000
Speaker 3: the AI job cuts are all there. I'm not sure

833
00:50:23,040 --> 00:50:25,680
Speaker 3: they're all AI related. When if you really dig into this,

834
00:50:25,800 --> 00:50:27,839
Speaker 3: you know it's not nearly as capable as people would

835
00:50:27,880 --> 00:50:30,320
Speaker 3: have you believe. But we'll see. I'm not saying I

836
00:50:30,360 --> 00:50:32,560
Speaker 3: won't get there. It's saying at the moment, I'm not

837
00:50:32,680 --> 00:50:35,479
Speaker 3: sure that that's not just somewhat of a cover story

838
00:50:35,480 --> 00:50:36,920
Speaker 3: because they just want to get rid of people.

839
00:50:37,000 --> 00:50:40,520
Speaker 1: Well, we'll see, it may be, but it's getting better

840
00:50:40,520 --> 00:50:43,359
Speaker 1: and better at performing functions, and once they iron out

841
00:50:43,400 --> 00:50:47,279
Speaker 1: all these obvious flaws and obvious biases, that they get

842
00:50:47,280 --> 00:50:49,680
Speaker 1: a real product that does perform. And that just seems

843
00:50:49,680 --> 00:50:52,120
Speaker 1: to me to be like one moment in time in

844
00:50:52,160 --> 00:50:54,440
Speaker 1: the future, then I think it's all really going to

845
00:50:54,520 --> 00:50:56,239
Speaker 1: hit the fan. But what do I know. I'm just

846
00:50:56,440 --> 00:50:58,640
Speaker 1: tea leaf reading like anybody else. We all know what

847
00:50:58,680 --> 00:51:00,719
Speaker 1: opinions are like, and I've got one too. They've had

848
00:51:00,760 --> 00:51:05,960
Speaker 1: her forty nine million fake accounts dismantled. Europol found a

849
00:51:06,000 --> 00:51:09,040
Speaker 1: SIM farm. Let me guess Chinese Communist Party behind this one.

850
00:51:10,280 --> 00:51:14,440
Speaker 3: Well, you know that's a good go to guest Brian.

851
00:51:14,680 --> 00:51:18,440
Speaker 3: For most of this stuff, I don't know who is

852
00:51:18,480 --> 00:51:22,319
Speaker 3: actually behind it. Probably them In most cases, this kind

853
00:51:22,360 --> 00:51:25,600
Speaker 3: of thing is more criminal related because they're making lots

854
00:51:25,600 --> 00:51:28,080
Speaker 3: of money. But yeah, if you read the headline on this,

855
00:51:28,160 --> 00:51:30,200
Speaker 3: it's kind of an interesting story. And you may recall

856
00:51:30,880 --> 00:51:33,239
Speaker 3: something like this was recently discovered in New York, so

857
00:51:33,320 --> 00:51:36,560
Speaker 3: this isn't new. It's an interesting concept where they'll go

858
00:51:36,600 --> 00:51:39,000
Speaker 3: out and set up these so sims. Just as a reminder,

859
00:51:39,000 --> 00:51:42,440
Speaker 3: simcard is the card in your phone that allows it

860
00:51:42,480 --> 00:51:45,800
Speaker 3: to connect to the cellular network and do its thing right.

861
00:51:46,239 --> 00:51:48,640
Speaker 3: So if I can get these SIM cards and set

862
00:51:48,719 --> 00:51:51,879
Speaker 3: up arms of them, then I can do all kinds

863
00:51:51,880 --> 00:51:54,120
Speaker 3: of fraud at scale, And apparently that's what they've been

864
00:51:54,200 --> 00:51:58,320
Speaker 3: doing here again. Euro Poll said seventeen hundred cyber fraud

865
00:51:58,360 --> 00:52:02,120
Speaker 3: cases in Austria and fifteen hundred latter Latvia, leading to

866
00:52:02,239 --> 00:52:05,799
Speaker 3: around five point two million dollars or roughly around six

867
00:52:05,840 --> 00:52:10,440
Speaker 3: million dollars across the two countries. But basically, you know,

868
00:52:10,640 --> 00:52:13,480
Speaker 3: you can rent these things out, run scams on them.

869
00:52:14,120 --> 00:52:16,319
Speaker 3: They're getting the guys behind it or getting some kind

870
00:52:16,320 --> 00:52:19,400
Speaker 3: of cut. You know, they're fishing, they're smishing, they're sending

871
00:52:19,400 --> 00:52:22,760
Speaker 3: you bogus texts, you know, the old hey you didn't

872
00:52:22,760 --> 00:52:25,440
Speaker 3: pay your toll. And you know, again, when you have

873
00:52:25,719 --> 00:52:27,960
Speaker 3: this kind of scale for something like this, you know,

874
00:52:28,080 --> 00:52:31,480
Speaker 3: thousands of these things. You know, you can generate literally

875
00:52:32,840 --> 00:52:35,640
Speaker 3: millions of attacks a minute. And when I say at

876
00:52:35,680 --> 00:52:39,320
Speaker 3: tax again, you know, just sending out texts aka smishing,

877
00:52:39,719 --> 00:52:44,719
Speaker 3: sending out emails with every kind of scam under the sun.

878
00:52:45,560 --> 00:52:48,240
Speaker 3: And you know, sadly this stuff still works on people.

879
00:52:48,800 --> 00:52:50,840
Speaker 3: It's hard for me to understand how someone gets a

880
00:52:50,960 --> 00:52:54,640
Speaker 3: text and it tells them there's some catastrophic thing that's

881
00:52:54,680 --> 00:52:58,120
Speaker 3: about to happen, and they don't go Maybe I should

882
00:52:58,120 --> 00:53:00,600
Speaker 3: go log into my bank or wherever, go to wherever,

883
00:53:00,680 --> 00:53:03,400
Speaker 3: send it to me on my own and confirm that

884
00:53:03,480 --> 00:53:07,439
Speaker 3: it's legit. Yet, you know, this stuff seems to work,

885
00:53:07,480 --> 00:53:10,560
Speaker 3: and I think to some extent it's because people just

886
00:53:10,600 --> 00:53:12,759
Speaker 3: don't realize the kind of thing we're talking about here

887
00:53:12,840 --> 00:53:14,960
Speaker 3: is possible. It's one of the reasons why I appreciate

888
00:53:15,000 --> 00:53:18,040
Speaker 3: the opportunity to talk about this stuff. But when you

889
00:53:18,080 --> 00:53:20,319
Speaker 3: see these kind of stories, I mean again, I get

890
00:53:20,360 --> 00:53:22,600
Speaker 3: if you're not very technical, this headline might not mean

891
00:53:22,719 --> 00:53:26,120
Speaker 3: much to you, but yeah, forty nine million fake accounts

892
00:53:27,160 --> 00:53:30,279
Speaker 3: per this one sim farm. It goes to show you

893
00:53:30,320 --> 00:53:32,839
Speaker 3: that this kind of stuff does happen at scale. There

894
00:53:32,840 --> 00:53:36,479
Speaker 3: are criminals everywhere, whether they're sponsored by nation states like China,

895
00:53:36,480 --> 00:53:39,399
Speaker 3: where they're just criminal gangs you know, who can make

896
00:53:39,600 --> 00:53:42,160
Speaker 3: enormous amounts of money through the scams they run off

897
00:53:42,200 --> 00:53:46,600
Speaker 3: these platforms, And it just to me further illustrates why

898
00:53:46,680 --> 00:53:50,640
Speaker 3: it's so important that you must be skeptical. You can't

899
00:53:50,680 --> 00:53:53,440
Speaker 3: assume that anything you get in a digital form a

900
00:53:53,480 --> 00:53:57,279
Speaker 3: phone call, of text and email is legit, right, it

901
00:53:57,320 --> 00:53:59,160
Speaker 3: can become a something like this.

902
00:53:59,520 --> 00:54:02,160
Speaker 1: There's a lot of organizations that like Tides Foundation, we

903
00:54:02,200 --> 00:54:04,279
Speaker 1: all we all can label those that if funded these

904
00:54:04,320 --> 00:54:06,880
Speaker 1: left wing organizations and in foam at a discord and

905
00:54:07,280 --> 00:54:09,960
Speaker 1: division in our country, can these farms be used to

906
00:54:10,360 --> 00:54:13,800
Speaker 1: it to send out maybe texts that have a particular

907
00:54:13,840 --> 00:54:17,440
Speaker 1: bias propaganda in response to say someone's post, to have

908
00:54:17,480 --> 00:54:21,120
Speaker 1: an automatic generated comment about that post that either tears

909
00:54:21,120 --> 00:54:24,400
Speaker 1: that person down or supports it, even though it's artificially created.

910
00:54:24,440 --> 00:54:25,360
Speaker 1: They can use for that.

911
00:54:25,400 --> 00:54:28,520
Speaker 3: Yeah, right, I mean you know, yes, bot farms are

912
00:54:28,600 --> 00:54:30,600
Speaker 3: you know, doing all that sort of thing as well.

913
00:54:31,719 --> 00:54:33,759
Speaker 3: You know, if you go back and look, you've seen

914
00:54:33,760 --> 00:54:37,680
Speaker 3: Elon Musk talk about before, specifically on Twitter slash x

915
00:54:38,320 --> 00:54:40,520
Speaker 3: about bots. You know the idea that you have these

916
00:54:40,560 --> 00:54:43,799
Speaker 3: kind of automated processes just posting stuff or looking for

917
00:54:43,960 --> 00:54:47,360
Speaker 3: content and then trying to either amplify it or suppress

918
00:54:47,400 --> 00:54:50,239
Speaker 3: it by amplifying other content. So you know, whether it's

919
00:54:50,920 --> 00:54:55,319
Speaker 3: it's fraud or it's some sort of propaganda or whatever. Yes,

920
00:54:55,920 --> 00:54:58,520
Speaker 3: these kinds of operations could do any of that sort

921
00:54:58,520 --> 00:54:59,719
Speaker 3: of stuff, And that's why.

922
00:54:59,800 --> 00:55:00,440
Speaker 6: Yeah, and I just.

923
00:55:00,480 --> 00:55:05,080
Speaker 3: Encourage people to understand anything that is digital could be fake.

924
00:55:05,600 --> 00:55:08,760
Speaker 3: Thanks to AI, thanks to all this technology, it's getting

925
00:55:08,880 --> 00:55:13,959
Speaker 3: easier to fake things, including video, including audio. So yeah,

926
00:55:14,000 --> 00:55:16,680
Speaker 3: you should be skeptical of anything you see and certainly

927
00:55:16,719 --> 00:55:20,400
Speaker 3: if you get anything that involves something that is financial.

928
00:55:20,440 --> 00:55:23,960
Speaker 3: But I'd also point out, Brian, these people are professional

929
00:55:24,000 --> 00:55:26,719
Speaker 3: con artists basically, right, And instead of walking down the

930
00:55:26,760 --> 00:55:29,359
Speaker 3: street and stealing your wallet like in the sting. Now

931
00:55:29,400 --> 00:55:33,040
Speaker 3: they're using this technology to reach people and con you.

932
00:55:33,040 --> 00:55:35,240
Speaker 3: You know, you're dealing with people who are very smart

933
00:55:35,239 --> 00:55:37,880
Speaker 3: when it comes to conning you out of your money, so,

934
00:55:38,000 --> 00:55:40,800
Speaker 3: you know, anything financial. My point though, was it doesn't

935
00:55:40,840 --> 00:55:43,759
Speaker 3: necessarily to start out financially right. Part of the con

936
00:55:43,880 --> 00:55:46,560
Speaker 3: is to eventually build up some rapport, get you to

937
00:55:46,560 --> 00:55:48,880
Speaker 3: trust them, and then steal your money. But anything that

938
00:55:48,920 --> 00:55:51,160
Speaker 3: says like, oh, you've got to focus payment, click this

939
00:55:51,239 --> 00:55:54,880
Speaker 3: link or anything like that, you should immediately be skeptical.

940
00:55:54,920 --> 00:55:57,600
Speaker 3: You should stop, take a breath, and then go to

941
00:55:57,680 --> 00:56:00,680
Speaker 3: the source of wherever it claims have come from. Go

942
00:56:00,719 --> 00:56:03,120
Speaker 3: to log into your Amazon account, log into your Apple account,

943
00:56:03,200 --> 00:56:06,200
Speaker 3: whatever it is, and you know, check your bank account.

944
00:56:06,840 --> 00:56:08,000
Speaker 3: Is there missing money?

945
00:56:08,239 --> 00:56:11,080
Speaker 1: Right? No, it's a scam. Go to the source. Six

946
00:56:11,280 --> 00:56:15,600
Speaker 1: thirty seven fifty five KRCIT talkstation Cohler toilet manufacturer Once

947
00:56:15,680 --> 00:56:20,480
Speaker 1: put a camera in your toilet station six ft five

948
00:56:20,520 --> 00:56:24,080
Speaker 1: KRCD talk station intrust it dot com. It's where you're

949
00:56:24,080 --> 00:56:26,400
Speaker 1: find Dave Patter and his crew for your business related

950
00:56:26,440 --> 00:56:29,280
Speaker 1: computer need sponsoring the segment that we call tech Friday.

951
00:56:29,920 --> 00:56:31,640
Speaker 1: Uh No, I'm gonna go know on this one, Dave

952
00:56:31,719 --> 00:56:34,520
Speaker 1: shocking you. I'm sure a tiny camera in my toilet,

953
00:56:36,120 --> 00:56:37,800
Speaker 1: no thanks.

954
00:56:37,320 --> 00:56:40,279
Speaker 3: Yeah, I'm one hundred percent with you on this. I mean,

955
00:56:40,360 --> 00:56:43,680
Speaker 3: you know, Brian, the Internet of Things aka smart devices

956
00:56:43,840 --> 00:56:47,440
Speaker 3: kind of makes me insane as is minus something like

957
00:56:47,480 --> 00:56:50,720
Speaker 3: this once. I'll get back to in a second, because

958
00:56:51,480 --> 00:56:55,440
Speaker 3: it's all the incentives for you is consumer are all wrong, right.

959
00:56:55,560 --> 00:56:59,760
Speaker 3: This stuff is all cheap garbage. It's full of terrible

960
00:56:59,800 --> 00:57:03,040
Speaker 3: so they stop updating it after a few years, and

961
00:57:03,080 --> 00:57:05,520
Speaker 3: it's designed for speed to market, ease of use in

962
00:57:05,600 --> 00:57:08,640
Speaker 3: market share, not your privacy and security. Now, I'm not

963
00:57:08,719 --> 00:57:11,919
Speaker 3: saying some of these things might not have some cool functionality,

964
00:57:12,360 --> 00:57:15,680
Speaker 3: might not give you some additional convenience, and we may

965
00:57:15,719 --> 00:57:19,200
Speaker 3: eventually get to a place where this stuff is built

966
00:57:19,240 --> 00:57:23,080
Speaker 3: in a way that it's more trustworthy and focused on

967
00:57:23,200 --> 00:57:25,720
Speaker 3: you as a consumer. But where we're at today, you know,

968
00:57:25,760 --> 00:57:28,680
Speaker 3: where this stuff is all still relatively immature. Most of

969
00:57:28,680 --> 00:57:31,080
Speaker 3: it is just complete garbage. I don't want any of it.

970
00:57:31,440 --> 00:57:32,920
Speaker 3: And the last thing I want, you know, I think

971
00:57:32,920 --> 00:57:35,480
Speaker 3: we've talked about this before. Their examples were like someone's

972
00:57:35,560 --> 00:57:38,480
Speaker 3: room to sweeper. Because they now have cameras and I've

973
00:57:38,520 --> 00:57:42,160
Speaker 3: loaded pictures of them on the toilet. You know, I'm

974
00:57:42,160 --> 00:57:44,880
Speaker 3: not going to put some kind of device in my toilet. Now.

975
00:57:45,000 --> 00:57:47,640
Speaker 3: You know, there are different companies making this cooler. Got

976
00:57:47,640 --> 00:57:49,880
Speaker 3: a lot of press out of this. This thing kind

977
00:57:49,880 --> 00:57:52,120
Speaker 3: of straps onto your toilet. It's got a camera that

978
00:57:52,160 --> 00:57:55,400
Speaker 3: points down. You got to log into it, so already

979
00:57:55,400 --> 00:57:58,600
Speaker 3: they have your identity right because you know, if it's

980
00:57:58,640 --> 00:58:00,880
Speaker 3: going to do its thing for it, in order for

981
00:58:00,920 --> 00:58:04,560
Speaker 3: you to tell you about your health versus your spouse's health,

982
00:58:04,640 --> 00:58:06,360
Speaker 3: or your kids health or whatever else, it has to

983
00:58:06,360 --> 00:58:08,560
Speaker 3: know who you are. So it's got to be connected

984
00:58:08,600 --> 00:58:10,720
Speaker 3: to your Wi Fi. You got to log into the thing.

985
00:58:11,280 --> 00:58:14,200
Speaker 3: You do your business, It analyzes it, you know, and

986
00:58:14,200 --> 00:58:16,560
Speaker 3: then I guess gives you some sort of report about

987
00:58:16,880 --> 00:58:19,800
Speaker 3: you know, according to this article, your hydration level, your

988
00:58:19,800 --> 00:58:22,919
Speaker 3: gut health, et cetera, et cetera. Right, So who else

989
00:58:23,000 --> 00:58:25,720
Speaker 3: has access to that data? Where does it go? Can

990
00:58:25,800 --> 00:58:28,120
Speaker 3: they sell it? Do they sell it? Are they gonna

991
00:58:28,480 --> 00:58:30,560
Speaker 3: go ahead and send this off to your insurance company

992
00:58:30,880 --> 00:58:34,600
Speaker 3: so your insurance company can decigdn that maybe your premium

993
00:58:34,640 --> 00:58:37,200
Speaker 3: should go up by fifty percent because you're you don't

994
00:58:37,200 --> 00:58:40,840
Speaker 3: have enough hydration or whatever. Who knows who's going to

995
00:58:40,880 --> 00:58:45,760
Speaker 3: read the eighty page on the terms service. Yeah, there's

996
00:58:45,840 --> 00:58:49,080
Speaker 3: so many things wrong with this perverts.

997
00:58:48,680 --> 00:58:51,120
Speaker 1: Hacking in because yeah, they're into that kind of thing day.

998
00:58:51,200 --> 00:58:52,920
Speaker 1: I mean, you know, I'm sure they're a web pages

999
00:58:52,960 --> 00:58:55,200
Speaker 1: dedicated to pervert to like the look in toilets.

1000
00:58:56,480 --> 00:58:58,680
Speaker 3: You know, there's nothing that would surprise me anymore, Brian,

1001
00:58:59,760 --> 00:59:02,000
Speaker 3: So you may very well be right about that. And

1002
00:59:02,080 --> 00:59:04,960
Speaker 3: of course the clincher is you're not just paying the

1003
00:59:05,000 --> 00:59:07,520
Speaker 3: one time price, the six hundred bucks for the Colder

1004
00:59:07,640 --> 00:59:10,600
Speaker 3: or there's a startup called Throne that does something similar.

1005
00:59:11,120 --> 00:59:14,360
Speaker 3: Of course there's an ongoing subscription, So you know you're

1006
00:59:14,360 --> 00:59:16,640
Speaker 3: gonna you're gonna drop six hundred bucks on this thing.

1007
00:59:16,680 --> 00:59:19,160
Speaker 3: And then in Colder's case or Kayler or however you

1008
00:59:19,200 --> 00:59:22,040
Speaker 3: pronounce it, you're gonna spend seventy to one hundred and

1009
00:59:22,080 --> 00:59:25,640
Speaker 3: fifty six bucks a year to get the analysis. So

1010
00:59:26,400 --> 00:59:30,040
Speaker 3: that's gonna be not a chance I would rule something like.

1011
00:59:30,040 --> 00:59:32,680
Speaker 1: That, because I mean, you got all these accounts, because

1012
00:59:32,680 --> 00:59:33,960
Speaker 1: I mean, how are you gonna pay that when you've

1013
00:59:33,960 --> 00:59:36,400
Speaker 1: got the one hundred and seventy five dollars annual charge

1014
00:59:36,440 --> 00:59:38,560
Speaker 1: to make your heated seats in your car work? Right?

1015
00:59:39,760 --> 00:59:44,840
Speaker 3: Yes, I mean this, this technology infused, subscription based model

1016
00:59:44,880 --> 00:59:49,840
Speaker 3: for everything that we're increasingly headed towards is just garbage

1017
00:59:49,880 --> 00:59:52,040
Speaker 3: as far as I'm concerned. I don't remember if we

1018
00:59:52,120 --> 00:59:54,080
Speaker 3: talked about it or not, but you know, Samsung has

1019
00:59:54,120 --> 00:59:56,920
Speaker 3: now introduced a new line of refrigerators with a big

1020
00:59:56,960 --> 00:59:59,600
Speaker 3: screen on the front, Smart refrigerators, and they're gonna put

1021
00:59:59,640 --> 01:00:01,960
Speaker 3: ads on on the screen. If you're a refrigerator, I mean,

1022
01:00:02,040 --> 01:00:06,080
Speaker 3: do you own that refrigerator? Apparently not? You know so,

1023
01:00:06,080 --> 01:00:08,120
Speaker 3: so now instead of just getting the dribble at the

1024
01:00:08,160 --> 01:00:10,560
Speaker 3: gas station while you're pumping gas, you can get the

1025
01:00:10,560 --> 01:00:12,640
Speaker 3: same kind of drivell out of the refrigerator that you

1026
01:00:12,720 --> 01:00:14,920
Speaker 3: paid for in your house. How awesome is that?

1027
01:00:15,160 --> 01:00:17,680
Speaker 1: Oh, that's just so wonderful. Makes me want to run

1028
01:00:17,720 --> 01:00:19,800
Speaker 1: him right out and get a new TV, said Dave Hatter.

1029
01:00:19,880 --> 01:00:23,440
Speaker 1: Will continue with Apple apparently spending one billion dollars a

1030
01:00:23,520 --> 01:00:26,560
Speaker 1: year to rent a new brain for its SII. You

1031
01:00:26,600 --> 01:00:28,320
Speaker 1: can get the information on that from Dave hat or.

1032
01:00:28,320 --> 01:00:31,440
Speaker 1: Coming up next, first Foreign Exchange Speakinnery on a Friday,

1033
01:00:32,120 --> 01:00:34,120
Speaker 1: The return of George Runneman and Keith Tennefeld at from

1034
01:00:34,080 --> 01:00:35,080
Speaker 1: the Top of the Air News is going to do

1035
01:00:35,080 --> 01:00:37,880
Speaker 1: a Restore Wellness aron with George and Keith in studio

1036
01:00:37,920 --> 01:00:40,800
Speaker 1: give us some really great tips on improving our lives

1037
01:00:40,800 --> 01:00:43,160
Speaker 1: through improving our diet and some other health issues. In

1038
01:00:43,200 --> 01:00:45,400
Speaker 1: the meantime, one more segment here with Tech Friday's Dave

1039
01:00:45,400 --> 01:00:49,320
Speaker 1: Hatter interest it dot com. So Apple's got to rent

1040
01:00:49,440 --> 01:00:50,720
Speaker 1: what you're calling a brain.

1041
01:00:52,160 --> 01:00:55,160
Speaker 3: Well apparently that's the case, so Apple said Siri for

1042
01:00:55,160 --> 01:00:57,960
Speaker 3: a long time. Yeah, I'll be just kicked a bunch off.

1043
01:00:58,400 --> 01:01:01,800
Speaker 3: I'm in the background from people listening. It's you know,

1044
01:01:02,400 --> 01:01:05,040
Speaker 3: sort of falling behind in the AI race, if you will.

1045
01:01:05,120 --> 01:01:07,040
Speaker 3: So it looks like they've struck up a deal with

1046
01:01:07,120 --> 01:01:12,480
Speaker 3: Google to use their gem and I AI LM to

1047
01:01:12,640 --> 01:01:15,800
Speaker 3: power Siri, at least for the time being. I mean,

1048
01:01:15,840 --> 01:01:18,920
Speaker 3: from what I've read about this, it doesn't seem to

1049
01:01:18,960 --> 01:01:21,520
Speaker 3: me that this is Apple's long term play. It's sort

1050
01:01:21,560 --> 01:01:24,479
Speaker 3: of a short term fix to I guess give them

1051
01:01:25,040 --> 01:01:27,800
Speaker 3: an upgrade and more time to build something on their own.

1052
01:01:28,680 --> 01:01:30,840
Speaker 3: So it'll be interesting to see how this plays out.

1053
01:01:30,880 --> 01:01:32,800
Speaker 3: Looks like they're going to pay Google a billion dollars

1054
01:01:32,840 --> 01:01:38,520
Speaker 3: a year to use Gemini to power Siri going forward,

1055
01:01:38,600 --> 01:01:40,360
Speaker 3: at least until they come up with their own thing.

1056
01:01:40,840 --> 01:01:42,560
Speaker 3: I'm sure. I know they've been working on it. I'm

1057
01:01:42,560 --> 01:01:45,200
Speaker 3: sure they'll continue to work on it. You know, generally,

1058
01:01:45,240 --> 01:01:49,080
Speaker 3: speaking from a consumer perspective, Apple has been really good

1059
01:01:49,120 --> 01:01:51,320
Speaker 3: at this sort of thing. It's kind of surprising to

1060
01:01:51,360 --> 01:01:55,240
Speaker 3: me that they've gone down this road. But I guess

1061
01:01:55,280 --> 01:01:58,160
Speaker 3: they figure if this is you know, they've got sitting

1062
01:01:58,160 --> 01:02:01,040
Speaker 3: on a giant pile of cash, and if they can

1063
01:02:01,080 --> 01:02:03,560
Speaker 3: spend a billion bucks a year get some improvements while

1064
01:02:03,560 --> 01:02:06,240
Speaker 3: they do their own thing, probably makes sense for him, apparently.

1065
01:02:06,320 --> 01:02:09,000
Speaker 3: You know, they've talked to many of the other AI

1066
01:02:09,120 --> 01:02:12,720
Speaker 3: companies out there, uh, and somehow landed on Google. Do

1067
01:02:12,760 --> 01:02:15,000
Speaker 3: you know, Brian not a huge fan of Google.

1068
01:02:15,120 --> 01:02:15,680
Speaker 1: I know that.

1069
01:02:17,840 --> 01:02:20,680
Speaker 3: I guess we'll see where it goes. You know, I'm

1070
01:02:20,720 --> 01:02:24,720
Speaker 3: this sort of backwards guy who doesn't I have an iPhone.

1071
01:02:24,800 --> 01:02:28,360
Speaker 3: I do not use Siri. You know, I just type

1072
01:02:28,360 --> 01:02:30,640
Speaker 3: on the phone for whatever I want because I don't

1073
01:02:30,640 --> 01:02:33,600
Speaker 3: want it listening to me all the time, so I

1074
01:02:33,640 --> 01:02:34,720
Speaker 3: have that feature disabled.

1075
01:02:36,320 --> 01:02:38,280
Speaker 1: Dude, I'm with you all day long. I scratch my

1076
01:02:38,400 --> 01:02:41,080
Speaker 1: head and you know, I have some dear friends of mine.

1077
01:02:41,120 --> 01:02:44,640
Speaker 1: I think of one guy who was in America's military,

1078
01:02:44,760 --> 01:02:48,360
Speaker 1: serving in you know, a psyop role, and he's all

1079
01:02:48,400 --> 01:02:51,120
Speaker 1: over this, you know, listening and the idea that you know,

1080
01:02:51,320 --> 01:02:53,760
Speaker 1: we're being monitor all the time. He's keenly savvy on that,

1081
01:02:53,840 --> 01:02:55,720
Speaker 1: and yet in his house he's got one of those

1082
01:02:55,800 --> 01:02:58,600
Speaker 1: Alexa things. And it's looking like, go, how can you

1083
01:02:58,680 --> 01:03:02,000
Speaker 1: reconcile your concerns over all of this with having one

1084
01:03:02,000 --> 01:03:04,240
Speaker 1: of those devices in your house that's literally listening to

1085
01:03:04,280 --> 01:03:06,080
Speaker 1: you all the time. If for northern reason, then to

1086
01:03:06,120 --> 01:03:08,919
Speaker 1: hear the keyword that sort of sets it off into

1087
01:03:08,920 --> 01:03:11,560
Speaker 1: full on listening mode. I mean I don't buy that, Dave.

1088
01:03:11,600 --> 01:03:13,760
Speaker 1: I never have. I just have a firm belief that

1089
01:03:13,760 --> 01:03:16,440
Speaker 1: those things are hoovering up all the conversations we have

1090
01:03:16,520 --> 01:03:17,360
Speaker 1: in our own homes.

1091
01:03:19,360 --> 01:03:22,240
Speaker 3: Well, you know, all kinds of studies have been done, Brian,

1092
01:03:22,480 --> 01:03:24,760
Speaker 3: and you know there's been a lot of dispute over this.

1093
01:03:25,160 --> 01:03:28,760
Speaker 3: But even if you don't think it's quote listening to

1094
01:03:28,800 --> 01:03:31,400
Speaker 3: you all the time, I would just point out two things. Hey,

1095
01:03:32,000 --> 01:03:34,360
Speaker 3: it has to listen to you in order to know

1096
01:03:34,400 --> 01:03:38,040
Speaker 3: when you wanted to do something right right now? Is

1097
01:03:38,080 --> 01:03:42,680
Speaker 3: it recording everything that you're saying, is it storing everything?

1098
01:03:42,760 --> 01:03:45,800
Speaker 3: You're saying that's debatable.

1099
01:03:45,680 --> 01:03:49,200
Speaker 1: But wait wait, okay, it is debatable, but tell me

1100
01:03:49,280 --> 01:03:53,680
Speaker 1: this or confirm this. It is certainly possible that they

1101
01:03:54,240 --> 01:03:57,200
Speaker 1: can record if they choose to start doing it.

1102
01:03:58,480 --> 01:04:00,640
Speaker 3: Uh, it's something within the realm of pod pussibility. The

1103
01:04:00,720 --> 01:04:03,680
Speaker 3: storage would be enormous, but the cost of storage continues

1104
01:04:03,720 --> 01:04:04,240
Speaker 3: to go down.

1105
01:04:07,240 --> 01:04:11,160
Speaker 1: Instructed by some outside individual to listen to Oh yeah, here,

1106
01:04:11,200 --> 01:04:12,919
Speaker 1: but we're from the government. We want you to start

1107
01:04:12,960 --> 01:04:15,680
Speaker 1: listening to Dave Hatter's device because he's he's got a

1108
01:04:15,680 --> 01:04:17,680
Speaker 1: tinfoil on his hat. We're a little worried about him.

1109
01:04:18,120 --> 01:04:22,760
Speaker 3: It's like the old, old orwell telescreen, except you you volunteer. Yeah,

1110
01:04:22,800 --> 01:04:26,720
Speaker 3: you put it to participate. And you know. The other

1111
01:04:26,760 --> 01:04:29,000
Speaker 3: thing is there have been studies done where they'll take

1112
01:04:29,040 --> 01:04:31,440
Speaker 3: these devices, put them in a room, turn a TV on,

1113
01:04:31,560 --> 01:04:34,520
Speaker 3: and see how many times that they activate, even and

1114
01:04:34,720 --> 01:04:37,640
Speaker 3: by activate, what I mean is actually engaged start doing

1115
01:04:37,680 --> 01:04:40,840
Speaker 3: something right Again, you can argue about what it's doing

1116
01:04:40,960 --> 01:04:44,840
Speaker 3: when it's not activated, but they'll put these things in

1117
01:04:44,840 --> 01:04:47,000
Speaker 3: a room, turn on a TV, let it play, and

1118
01:04:47,040 --> 01:04:49,680
Speaker 3: then see how many times it activates. Even though the

1119
01:04:49,760 --> 01:04:53,640
Speaker 3: specific weake word, hot word, wake phrase, whatever they call it,

1120
01:04:53,800 --> 01:04:57,160
Speaker 3: was not uttered. Yeah, and it's it's pretty alarming if

1121
01:04:57,200 --> 01:04:57,880
Speaker 3: you look into this.

1122
01:04:57,920 --> 01:05:00,200
Speaker 1: Well, how many people do you know that have you

1123
01:05:00,360 --> 01:05:03,439
Speaker 1: sort of target marketing ads after having a conversation about

1124
01:05:03,480 --> 01:05:06,440
Speaker 1: something they otherwise normally wouldn't search for or talk about.

1125
01:05:06,640 --> 01:05:08,520
Speaker 1: I mean, my sister had this experience. I don't know

1126
01:05:08,560 --> 01:05:11,520
Speaker 1: what it was, and I want to say it was somebody,

1127
01:05:11,600 --> 01:05:13,720
Speaker 1: if not, my sister had an experience that they weren't

1128
01:05:13,760 --> 01:05:16,200
Speaker 1: ever looking for RVs to rent. They weren't heavy, they

1129
01:05:16,200 --> 01:05:19,280
Speaker 1: didn't care about them, They never searched for them themselves independently,

1130
01:05:19,520 --> 01:05:21,959
Speaker 1: but they ended up having a conversation about RVs. Someone

1131
01:05:22,040 --> 01:05:24,200
Speaker 1: was going to plan on renting one and going out

1132
01:05:24,240 --> 01:05:26,480
Speaker 1: for a month on the road, and all the ins

1133
01:05:26,520 --> 01:05:28,840
Speaker 1: and outs and involved with that. She started getting marketing

1134
01:05:28,960 --> 01:05:34,919
Speaker 1: regarding to RV's on her devices. Now that's creepy, isn't it.

1135
01:05:34,920 --> 01:05:40,160
Speaker 3: It is to me again, I know people will say, well,

1136
01:05:40,200 --> 01:05:42,520
Speaker 3: I don't have anything to hide, I don't care about

1137
01:05:42,560 --> 01:05:45,640
Speaker 3: privacy and so forth. But to your point, you know,

1138
01:05:45,720 --> 01:05:48,600
Speaker 3: as the winds change out there, you might in the future,

1139
01:05:48,760 --> 01:05:52,400
Speaker 3: and thanks to the low cost of storage if people

1140
01:05:52,400 --> 01:05:55,400
Speaker 3: were hoovering this stuff up and saving it, could someone

1141
01:05:55,480 --> 01:05:59,000
Speaker 3: go back and retroactively analyze whatever they've collected and say,

1142
01:05:59,000 --> 01:06:03,360
Speaker 3: wait a minute, six years ago you said or did acts. Yeah,

1143
01:06:03,400 --> 01:06:05,000
Speaker 3: they could. I mean these things have been used in

1144
01:06:05,040 --> 01:06:07,360
Speaker 3: court cases. They've been used to convict people.

1145
01:06:07,280 --> 01:06:10,240
Speaker 1: And against politicians for prior statements. Because it's all out

1146
01:06:10,240 --> 01:06:10,920
Speaker 1: there somewhere.

1147
01:06:11,920 --> 01:06:14,920
Speaker 3: Yeah, so I would. I would just remind folks you

1148
01:06:14,960 --> 01:06:18,760
Speaker 3: should again, I don't use this voice activated stuff. Could

1149
01:06:18,760 --> 01:06:22,000
Speaker 3: it be listening to me anyway? Maybe? But you know,

1150
01:06:22,000 --> 01:06:24,240
Speaker 3: if it has that kind of capability turned on, I

1151
01:06:24,360 --> 01:06:27,040
Speaker 3: turn it off unless and until I want to use it,

1152
01:06:27,840 --> 01:06:29,240
Speaker 3: And that would be my You know, the less of

1153
01:06:29,280 --> 01:06:32,880
Speaker 3: the so called Simmart devices you have the better. And

1154
01:06:32,960 --> 01:06:35,280
Speaker 3: for anything that can listen to you interact with you

1155
01:06:35,320 --> 01:06:38,080
Speaker 3: at that level, my suggestion is turn it off.

1156
01:06:38,920 --> 01:06:42,120
Speaker 1: Perfect, perfect, perfect, turn it off. Period. In the story

1157
01:06:42,160 --> 01:06:45,720
Speaker 1: Tech Friday, data coming from tech Friday's Dave Hatter, turn

1158
01:06:45,840 --> 01:06:47,959
Speaker 1: off the tech turn it off. We'll do it again

1159
01:06:48,000 --> 01:06:50,360
Speaker 1: next Friday. Thank you again to your company interest it

1160
01:06:50,760 --> 01:06:54,040
Speaker 1: and for sponsoring the segment. Such an important thing. We

1161
01:06:54,080 --> 01:06:56,360
Speaker 1: need to pay attention to Dave Hatter and do what

1162
01:06:56,440 --> 01:06:58,120
Speaker 1: Dave says, and we'll keep you out of trouble intrust

1163
01:06:58,200 --> 01:07:00,760
Speaker 1: it dot com. Dave, have a fantastic weekend, brother. I

1164
01:07:00,800 --> 01:07:01,720
Speaker 1: appreciate your time.

1165
01:07:02,520 --> 01:07:04,439
Speaker 3: Oh, it was my pleasure. Talk to you. Next week.

1166
01:07:04,800 --> 01:07:06,160
Speaker 3: Off to Queen City con Brian.

1167
01:07:06,520 --> 01:07:08,560
Speaker 1: Oh, have fun. We'll get an update on that next week.

1168
01:07:08,680 --> 01:07:19,320
Speaker 1: Have fun. Seven. I was six here but you about

1169
01:07:19,360 --> 01:07:22,160
Speaker 1: KRC detalk station. I was so pleased to find out

1170
01:07:22,200 --> 01:07:24,080
Speaker 1: that George Venaman and Keith Tennifild we're going to be

1171
01:07:24,120 --> 01:07:26,800
Speaker 1: in the studio this hour, because well it's Friday and

1172
01:07:26,880 --> 01:07:28,680
Speaker 1: early in the program the phones weren't even working, so

1173
01:07:28,720 --> 01:07:30,160
Speaker 1: I was going to be left to my own devices

1174
01:07:30,160 --> 01:07:31,800
Speaker 1: for a full hour. But no, we get to learn

1175
01:07:31,800 --> 01:07:34,160
Speaker 1: about wellness. We get to try to improve our health

1176
01:07:34,600 --> 01:07:37,600
Speaker 1: and learn about some new cutting edge research that we

1177
01:07:37,680 --> 01:07:40,280
Speaker 1: are going to talk about today. George and Keith you

1178
01:07:40,320 --> 01:07:42,560
Speaker 1: can find him online at Restore Wellness dot org. Of course,

1179
01:07:42,600 --> 01:07:45,760
Speaker 1: if you remember, Keith is a nurse practitioner specializing in

1180
01:07:45,920 --> 01:07:49,000
Speaker 1: areas of health and the diet and improving your body.

1181
01:07:49,000 --> 01:07:53,880
Speaker 1: He's over with an organization called root Cause. They're Inharrison, Keith.

1182
01:07:53,880 --> 01:07:55,360
Speaker 1: It's always a pleasure to having you, and of course

1183
01:07:55,400 --> 01:07:58,280
Speaker 1: George Brennman, the other man behind restore Wellness dot org.

1184
01:07:58,320 --> 01:08:01,960
Speaker 1: They got great information materials, links and resources, so check

1185
01:08:02,000 --> 01:08:04,919
Speaker 1: it out. It's all about you helping yourself and help

1186
01:08:05,000 --> 01:08:07,400
Speaker 1: them help you, and that's what we're here to do today. Guys.

1187
01:08:07,440 --> 01:08:10,880
Speaker 1: It's great to see you both. I was just waxing

1188
01:08:10,920 --> 01:08:14,360
Speaker 1: puetok over my wonderful outcome at my physical yesterday, and

1189
01:08:14,520 --> 01:08:17,879
Speaker 1: you guys were part of my inspiration to change my diet.

1190
01:08:18,400 --> 01:08:21,040
Speaker 1: Started that last year because I had that CT scan

1191
01:08:21,120 --> 01:08:23,360
Speaker 1: showing my loaf nodes at increase and that's of course

1192
01:08:23,400 --> 01:08:25,920
Speaker 1: cancer related, and I found out about the link between

1193
01:08:25,920 --> 01:08:28,920
Speaker 1: cancer and sugar started researching that, so I did a

1194
01:08:29,000 --> 01:08:32,800
Speaker 1: full on keto up until Thanksgiving. I think it's kind

1195
01:08:32,800 --> 01:08:36,200
Speaker 1: of funny because Thanksgivings fast approaching, so I broke the

1196
01:08:37,160 --> 01:08:40,280
Speaker 1: full keto by enjoying some of the mom's of turkey

1197
01:08:40,320 --> 01:08:42,559
Speaker 1: and dressing and stuffing and a little carbs. I didn't

1198
01:08:42,560 --> 01:08:44,800
Speaker 1: go overwhelmed, but I used that moment in time to

1199
01:08:44,840 --> 01:08:48,160
Speaker 1: sort of stop the full keto and then just focus

1200
01:08:48,200 --> 01:08:52,160
Speaker 1: on keeping the sugar out of my diet and limiting

1201
01:08:52,160 --> 01:08:55,719
Speaker 1: my carbs significantly, which is what I've been doing ever since.

1202
01:08:56,479 --> 01:09:00,000
Speaker 1: My blood work was so awesome. Everything that we talked

1203
01:09:00,080 --> 01:09:02,479
Speaker 1: about it just it was also great. My blood pressure

1204
01:09:02,520 --> 01:09:05,360
Speaker 1: was down. I couldn't believe that it's just been a

1205
01:09:05,400 --> 01:09:10,679
Speaker 1: tremendous thing, and there was the objective information in front

1206
01:09:10,680 --> 01:09:14,120
Speaker 1: of me. Now, is there a correlation between my diet

1207
01:09:14,240 --> 01:09:16,600
Speaker 1: and the great numbers I had yesterday in contrast to

1208
01:09:16,680 --> 01:09:18,680
Speaker 1: all the other numbers from the prior years that I

1209
01:09:18,760 --> 01:09:20,519
Speaker 1: was staring at. I don't know, but it's the one

1210
01:09:20,560 --> 01:09:23,559
Speaker 1: thing in my life that I have changed, so I'm

1211
01:09:23,600 --> 01:09:26,400
Speaker 1: pointing to that. But I also feel better. You guys,

1212
01:09:26,439 --> 01:09:30,160
Speaker 1: we were talking about that. I have a better just

1213
01:09:30,200 --> 01:09:34,400
Speaker 1: a general outlook on life. I don't feel is mentally taxed.

1214
01:09:34,479 --> 01:09:36,280
Speaker 1: I don't know that I'm thinking more clearly. I think

1215
01:09:36,280 --> 01:09:38,880
Speaker 1: I actually think less clearly. But I just feel like

1216
01:09:38,920 --> 01:09:42,840
Speaker 1: a better person, a happier person. And again I can only.

1217
01:09:42,840 --> 01:09:45,839
Speaker 7: It isn't an amazing how much changes just by changing

1218
01:09:45,840 --> 01:09:46,400
Speaker 7: your diet.

1219
01:09:46,280 --> 01:09:49,799
Speaker 1: Right because I haven't exercised yet. Now, I say yet someday.

1220
01:09:50,040 --> 01:09:52,600
Speaker 1: I keep promising you gys, but thank you for the inspiration.

1221
01:09:52,920 --> 01:09:54,479
Speaker 1: I kind of go through this long wooded thing to

1222
01:09:54,479 --> 01:09:55,840
Speaker 1: try to get people to say, you know what it

1223
01:09:55,880 --> 01:09:58,080
Speaker 1: may be worth listening to George and Keith about these

1224
01:09:58,120 --> 01:10:01,120
Speaker 1: things because we do have some really really cool stuff

1225
01:10:01,160 --> 01:10:03,400
Speaker 1: to talk about. By way of sugar and cancer with

1226
01:10:03,520 --> 01:10:07,799
Speaker 1: the the interview you did with doctor Thomas Seyfried, amazing.

1227
01:10:08,000 --> 01:10:11,120
Speaker 5: This is this guy, Doctor Thomas Seyfried is a professor

1228
01:10:11,160 --> 01:10:14,400
Speaker 5: out at Boston, Massachusetts. He's doing it for a very

1229
01:10:14,479 --> 01:10:17,080
Speaker 5: very long time, I believe, I want to say nineteen

1230
01:10:17,320 --> 01:10:18,519
Speaker 5: sixty nine is really well.

1231
01:10:18,520 --> 01:10:20,960
Speaker 7: His book on cancer came out in twenty twelve, so

1232
01:10:21,040 --> 01:10:24,559
Speaker 7: he's had this answer for at least a decade now

1233
01:10:24,800 --> 01:10:27,559
Speaker 7: regarding this, and his research is getting to the point

1234
01:10:27,600 --> 01:10:30,320
Speaker 7: now where you know, we did an interview with him

1235
01:10:30,320 --> 01:10:34,439
Speaker 7: on Monday, and the end result of talking to him

1236
01:10:34,680 --> 01:10:38,080
Speaker 7: was cancer is not a death sentence. There is a

1237
01:10:38,080 --> 01:10:40,759
Speaker 7: way to treat it. And he's been at the forefront

1238
01:10:40,840 --> 01:10:43,639
Speaker 7: of this for over a decade now, okay.

1239
01:10:43,720 --> 01:10:45,280
Speaker 5: And how this kind of came down to Pike is,

1240
01:10:45,280 --> 01:10:47,799
Speaker 5: you know, we've been doing a lot of all lable

1241
01:10:47,880 --> 01:10:51,160
Speaker 5: self care, natural approaches to help facilitate cancer treatment at

1242
01:10:51,160 --> 01:10:55,120
Speaker 5: our place. And so because of ivermectin that I use

1243
01:10:55,200 --> 01:10:57,439
Speaker 5: and everything else, I was known as the avermectin guy,

1244
01:10:57,720 --> 01:11:00,000
Speaker 5: and people started reaching out saying, hey, cancer, this cancer

1245
01:11:00,160 --> 01:11:02,439
Speaker 5: that can you help me account help my family? And

1246
01:11:02,479 --> 01:11:05,080
Speaker 5: I got in contact with this gentleman named Jimbo Collins

1247
01:11:05,080 --> 01:11:07,639
Speaker 5: over on the West Side and his father had cancer,

1248
01:11:08,040 --> 01:11:09,720
Speaker 5: and so we started talking to me and sending me

1249
01:11:09,800 --> 01:11:12,759
Speaker 5: videos of this guy or this, this treatment, this option,

1250
01:11:12,840 --> 01:11:16,240
Speaker 5: and doctor Thomas Seyffred came across and anyway, so we

1251
01:11:16,400 --> 01:11:17,880
Speaker 5: kind of started digging into a little bit more of

1252
01:11:17,880 --> 01:11:19,840
Speaker 5: his stuff, and before I knew it, I just sent

1253
01:11:19,960 --> 01:11:22,240
Speaker 5: him an email. I said, hey, doctor Thomas Sefred, would

1254
01:11:22,240 --> 01:11:23,880
Speaker 5: you like to come and be on our podcast? And

1255
01:11:23,920 --> 01:11:27,240
Speaker 5: he said yes, And from there it's just really lit up.

1256
01:11:27,360 --> 01:11:28,200
Speaker 6: You know how we want to.

1257
01:11:28,160 --> 01:11:30,080
Speaker 5: Be able to present this data to your listeners, which

1258
01:11:30,120 --> 01:11:31,200
Speaker 5: is pretty profound.

1259
01:11:31,240 --> 01:11:33,120
Speaker 1: Okay now, and I hate to keep bringing up the

1260
01:11:33,160 --> 01:11:34,600
Speaker 1: only thing I know is my own personal experience of

1261
01:11:34,640 --> 01:11:36,680
Speaker 1: what run the line. But part of the idea was

1262
01:11:36,880 --> 01:11:39,360
Speaker 1: of taking sugar out of my dat is to maybe

1263
01:11:39,680 --> 01:11:42,360
Speaker 1: maybe it might help with my lymphoma. Now, I'd never

1264
01:11:42,400 --> 01:11:46,679
Speaker 1: seen a study that connected anything but hard cancer, solid

1265
01:11:46,760 --> 01:11:49,320
Speaker 1: cancers to the reduction in sugar and having an impact

1266
01:11:49,360 --> 01:11:52,280
Speaker 1: on it. Clearly there is that relationship, and that's documented,

1267
01:11:52,720 --> 01:11:55,360
Speaker 1: no nothing out on lymphoma. But I thought, what the hell,

1268
01:11:55,360 --> 01:11:57,439
Speaker 1: maybe they'll do a white paper brought me sometimes so

1269
01:11:57,560 --> 01:12:00,560
Speaker 1: after the scan that showed that the noes had increase,

1270
01:12:00,760 --> 01:12:02,920
Speaker 1: suggesting I might have to go back on treatment, which

1271
01:12:02,920 --> 01:12:05,639
Speaker 1: I never did. The most recent scan from a few

1272
01:12:05,640 --> 01:12:09,320
Speaker 1: months ago showed they actually had gotten smaller.

1273
01:12:09,560 --> 01:12:10,240
Speaker 6: Well, there you go.

1274
01:12:11,720 --> 01:12:13,840
Speaker 1: Whether there's a corollary, but it's the only thing I

1275
01:12:13,960 --> 01:12:14,799
Speaker 1: changed in my life.

1276
01:12:15,360 --> 01:12:18,760
Speaker 7: Just to give you a little perspective, this research was

1277
01:12:18,880 --> 01:12:22,680
Speaker 7: actually begun in nineteen twenty the sugar cancer research. The

1278
01:12:22,720 --> 01:12:26,920
Speaker 7: sugar cancer research was done by a German scientist, Otto

1279
01:12:27,000 --> 01:12:32,519
Speaker 7: Warburg in nineteen twenties. He's a Jewish scientist doctor in

1280
01:12:32,680 --> 01:12:36,719
Speaker 7: Nazi Germany. He was kept alive because Hitler was afraid

1281
01:12:36,760 --> 01:12:39,320
Speaker 7: of cancer and he knew this guy knew how to

1282
01:12:39,360 --> 01:12:43,599
Speaker 7: cure it. And his cure was basically starved the body

1283
01:12:43,640 --> 01:12:47,479
Speaker 7: of sugar. And those papers made their way over to

1284
01:12:47,479 --> 01:12:51,080
Speaker 7: the United States after the war. The Rockefellers and the

1285
01:12:51,200 --> 01:12:54,240
Speaker 7: new pharma industry that was growing at that time suppressed

1286
01:12:54,280 --> 01:12:57,519
Speaker 7: the data and it was only by accident that this

1287
01:12:57,640 --> 01:13:00,559
Speaker 7: Thomas Sefried found it. He was given a I think

1288
01:13:00,560 --> 01:13:02,800
Speaker 7: the story is he was given a drug that supposedly

1289
01:13:03,160 --> 01:13:06,720
Speaker 7: shrunk brain cancer. He was studying glioblastoma.

1290
01:13:08,200 --> 01:13:13,679
Speaker 5: Yeah, I'm starting a seizures cazars and he learned that cancer. Well,

1291
01:13:13,760 --> 01:13:16,800
Speaker 5: you're right, there was an opportunity for the He got

1292
01:13:16,800 --> 01:13:19,519
Speaker 5: two grants. Basically he was working on with seizures and

1293
01:13:19,960 --> 01:13:21,920
Speaker 5: and keto low sugar and.

1294
01:13:21,840 --> 01:13:23,400
Speaker 6: These these seizures would go away.

1295
01:13:23,720 --> 01:13:25,439
Speaker 5: At the same time, he was working on cancer and

1296
01:13:25,439 --> 01:13:27,120
Speaker 5: found his correlations and he was to had both of

1297
01:13:27,160 --> 01:13:28,840
Speaker 5: these kind of things going on at the same time.

1298
01:13:29,240 --> 01:13:32,280
Speaker 5: And then when he saw wait a minute, these rats

1299
01:13:32,320 --> 01:13:34,880
Speaker 5: I think it was that were being also targeted for

1300
01:13:34,960 --> 01:13:36,880
Speaker 5: diet was lowering their their.

1301
01:13:36,840 --> 01:13:39,000
Speaker 7: The brain cancer. So he was he was treating brain

1302
01:13:39,040 --> 01:13:42,759
Speaker 7: cancer and childhood epilepsy at the same time. And childhood

1303
01:13:42,760 --> 01:13:46,479
Speaker 7: epilepsy he was treating with a keto diet ketogenesis, and

1304
01:13:46,520 --> 01:13:50,160
Speaker 7: he found out that the rats lost their brain cancer.

1305
01:13:50,200 --> 01:13:52,759
Speaker 7: For you did the same thing. And then he uncovered

1306
01:13:52,760 --> 01:13:54,920
Speaker 7: the research for model water and he's been going on

1307
01:13:54,960 --> 01:13:57,799
Speaker 7: and on ever since. But you know, like he's connecting

1308
01:13:57,840 --> 01:14:00,880
Speaker 7: the dots, connecting the dots, proving it. This guy, you

1309
01:14:00,880 --> 01:14:03,560
Speaker 7: can tell it's a very technical if you listen to

1310
01:14:03,640 --> 01:14:07,640
Speaker 7: the interview, it's extremely technical. So we actually did a

1311
01:14:07,680 --> 01:14:10,400
Speaker 7: second podcast that we're gonna have out over the weekend

1312
01:14:10,520 --> 01:14:12,439
Speaker 7: or next week that we.

1313
01:14:11,880 --> 01:14:15,679
Speaker 1: We sort of go aside in the summer and put

1314
01:14:15,720 --> 01:14:18,120
Speaker 1: it in language and eighth grader connement.

1315
01:14:18,160 --> 01:14:20,800
Speaker 7: But well, what I liked is this guy thinks the

1316
01:14:20,800 --> 01:14:23,080
Speaker 7: way I like to think. What are the equations that

1317
01:14:23,200 --> 01:14:26,639
Speaker 7: govern the chemical the chemical processes of cancer, and what's

1318
01:14:26,680 --> 01:14:29,000
Speaker 7: the what's the role of genetics. Well, it turns out

1319
01:14:29,160 --> 01:14:31,880
Speaker 7: gene ICs has no roll in cancer, and they've had

1320
01:14:31,880 --> 01:14:34,400
Speaker 7: some experiments that prove this that if you take the

1321
01:14:34,479 --> 01:14:37,040
Speaker 7: nucleus of a cancer cell put it in a healthy cell,

1322
01:14:37,439 --> 01:14:43,120
Speaker 7: cancer doesn't happen. So it's not genetic. It's it's definitely mitochondrial,

1323
01:14:43,560 --> 01:14:45,559
Speaker 7: just like everything else we talk about. It's it's the

1324
01:14:45,680 --> 01:14:49,360
Speaker 7: energy production in your cells that when that's destroyed by

1325
01:14:49,479 --> 01:14:52,960
Speaker 7: hypergressed corn syrup and carbs and you know, all of

1326
01:14:53,000 --> 01:14:57,000
Speaker 7: these other things that are unnatural, suddenly your body susceptible

1327
01:14:57,000 --> 01:14:57,439
Speaker 7: to cancer.

1328
01:14:57,560 --> 01:14:59,720
Speaker 1: So unnatural in the sense that, at least from a

1329
01:14:59,760 --> 01:15:04,600
Speaker 1: history perspective, during our genetic development over the millennia, we

1330
01:15:04,720 --> 01:15:08,519
Speaker 1: never had these high concentrations of sugar, soor mitochondria aren't

1331
01:15:08,560 --> 01:15:12,360
Speaker 1: equipped to deal with them, and somehow the mass infusion

1332
01:15:12,400 --> 01:15:14,439
Speaker 1: that we've started with over the past let's saye hundred

1333
01:15:14,479 --> 01:15:19,400
Speaker 1: years or something, has transformed the way it produces energy.

1334
01:15:19,160 --> 01:15:22,599
Speaker 5: Well, or the way I understand that. The number one paleo. Right,

1335
01:15:22,680 --> 01:15:24,439
Speaker 5: So there were a bunch of cave men running around.

1336
01:15:24,479 --> 01:15:25,800
Speaker 1: Yeah, that's kind of I'm thinking of the back of

1337
01:15:25,800 --> 01:15:26,280
Speaker 1: my mind, right.

1338
01:15:26,360 --> 01:15:29,040
Speaker 5: So they're running, they're hunting, they're gathering, they're doing all

1339
01:15:29,040 --> 01:15:32,320
Speaker 5: this physical activity number one. And there wasn't like abundant

1340
01:15:32,360 --> 01:15:34,479
Speaker 5: food sources, so they weren't eating a lot and it

1341
01:15:34,560 --> 01:15:36,200
Speaker 5: was all basically a protein and or.

1342
01:15:36,280 --> 01:15:39,000
Speaker 6: Fiber kind of diet. Paleo diet.

1343
01:15:39,320 --> 01:15:42,360
Speaker 5: Secondary when a cancer or any cell starts to disregulate

1344
01:15:42,680 --> 01:15:46,880
Speaker 5: the ability for it to survive under normal oxygenation decreases

1345
01:15:47,280 --> 01:15:49,960
Speaker 5: and therefore the cell starts to get energy differently, and

1346
01:15:50,000 --> 01:15:51,760
Speaker 5: that's that's probably been going on for a very very

1347
01:15:51,800 --> 01:15:55,559
Speaker 5: long time. But since sugar is fed by cancer, were

1348
01:15:55,640 --> 01:15:58,960
Speaker 5: cancer feeds off of sugar and we add that to

1349
01:15:59,000 --> 01:16:01,800
Speaker 5: our diet, cancer starts to be more abundant.

1350
01:16:02,120 --> 01:16:04,479
Speaker 7: And so he makes the case of like in the

1351
01:16:04,560 --> 01:16:07,919
Speaker 7: United States, the number one killer of domestic dogs is cancer.

1352
01:16:08,720 --> 01:16:12,000
Speaker 7: Wolves in the wild never get cancer. It's because we

1353
01:16:12,040 --> 01:16:14,519
Speaker 7: started feeding the dogs, as he puts it, the same

1354
01:16:14,600 --> 01:16:17,280
Speaker 7: crap we feed ourselves. Oh wow, if you feed a

1355
01:16:17,320 --> 01:16:19,200
Speaker 7: dog just nothing but meat, it's not gonna get cancer.

1356
01:16:19,200 --> 01:16:20,840
Speaker 7: If you feed a human nothing but meat, it's not

1357
01:16:20,880 --> 01:16:24,919
Speaker 7: gonna get cancer. And some of the tribes in Africa

1358
01:16:25,040 --> 01:16:28,479
Speaker 7: and the Aborigines in Australia, when they study them, they

1359
01:16:28,479 --> 01:16:31,439
Speaker 7: don't even have a word for cancer because it doesn't happen.

1360
01:16:32,000 --> 01:16:34,200
Speaker 7: They have to hunt their food. They go long periods

1361
01:16:34,240 --> 01:16:36,479
Speaker 7: of time without eating, so intermittent fasting.

1362
01:16:36,560 --> 01:16:37,720
Speaker 1: There was a fasting element in there.

1363
01:16:37,760 --> 01:16:42,000
Speaker 7: Yeah, all these things that prehistoric man understood but we've forgotten.

1364
01:16:42,840 --> 01:16:45,320
Speaker 1: Oh let's pause. We'll bring Keith and George back, have

1365
01:16:45,360 --> 01:16:48,080
Speaker 1: more discussions on our collective health. Here first word for

1366
01:16:48,160 --> 01:16:51,439
Speaker 1: people seven twenty year if if you about krs DE

1367
01:16:51,560 --> 01:16:56,599
Speaker 1: talk Station Restore Wellness Dot Org, George Venaman, Keith tennefell

1368
01:16:56,680 --> 01:16:59,599
Speaker 1: behind that, Keith nurse practitioner. George just a brilliant guy

1369
01:16:59,640 --> 01:17:01,680
Speaker 1: who's in in health and wellness. But do you been

1370
01:17:01,720 --> 01:17:03,280
Speaker 1: through this whole experience yourself? Man?

1371
01:17:03,800 --> 01:17:06,280
Speaker 7: So I'm actually in the middle of a fast after

1372
01:17:06,320 --> 01:17:09,000
Speaker 7: all of our talking about fasting and whatever. So I

1373
01:17:09,080 --> 01:17:11,120
Speaker 7: met two and a half days into it. Oh wow,

1374
01:17:11,200 --> 01:17:13,040
Speaker 7: it's an interesting process.

1375
01:17:13,439 --> 01:17:14,160
Speaker 6: Okay, now that's good.

1376
01:17:14,280 --> 01:17:16,760
Speaker 1: I'm glad you started out with that, because there's a

1377
01:17:16,840 --> 01:17:19,080
Speaker 1: the tail line. You mentioned a fasting component to this,

1378
01:17:19,200 --> 01:17:23,240
Speaker 1: so talking about cancer underlying the health and the health

1379
01:17:23,280 --> 01:17:26,000
Speaker 1: benefits of getting sugar out of your diet and the

1380
01:17:26,000 --> 01:17:28,479
Speaker 1: research that was done by this physician that they had

1381
01:17:28,479 --> 01:17:31,840
Speaker 1: some interaction with what was his name, Thomas Sefreed. So

1382
01:17:32,160 --> 01:17:34,120
Speaker 1: more on that in the moment here. But the fasting

1383
01:17:34,160 --> 01:17:37,760
Speaker 1: component when we're talking about, because that sounds I remember

1384
01:17:37,800 --> 01:17:39,679
Speaker 1: my initial reaction when you start saying, well you really

1385
01:17:39,680 --> 01:17:41,599
Speaker 1: need a fast, It was like, God, there's no freaking

1386
01:17:41,680 --> 01:17:43,360
Speaker 1: way I'm going to be able to fast. But what

1387
01:17:43,400 --> 01:17:45,200
Speaker 1: do we talk about in terms of length of time

1388
01:17:45,240 --> 01:17:48,400
Speaker 1: of a fast? I mean, can we do short term fasting?

1389
01:17:48,640 --> 01:17:51,400
Speaker 1: What benefit do you get? Go ahead, and let's talk

1390
01:17:51,400 --> 01:17:53,360
Speaker 1: about the details of this concept of fastest.

1391
01:17:53,360 --> 01:17:57,040
Speaker 7: So we did talk to him in detail, doctor Sefreed,

1392
01:17:57,240 --> 01:18:00,360
Speaker 7: And he's not an MD, he's a PhD. To make

1393
01:18:00,360 --> 01:18:02,080
Speaker 7: that clear research the same way I have to say,

1394
01:18:02,080 --> 01:18:04,519
Speaker 7: I'm not an empt. But the interesting thing is we

1395
01:18:04,560 --> 01:18:07,040
Speaker 7: started with the sixteen eight is what you normally think

1396
01:18:07,080 --> 01:18:10,839
Speaker 7: of as intermittent fasting. So you don't eat for sixteen

1397
01:18:10,880 --> 01:18:13,679
Speaker 7: hours and you eat during an eight hour period every

1398
01:18:13,680 --> 01:18:17,000
Speaker 7: single day. And I've been doing that forever. That's actually

1399
01:18:17,080 --> 01:18:19,200
Speaker 7: kind of easy. You just sort of cut out breakfast

1400
01:18:19,240 --> 01:18:20,240
Speaker 7: and you're done.

1401
01:18:20,160 --> 01:18:22,320
Speaker 1: You know, it's pretty much my routine. I don't eat

1402
01:18:22,320 --> 01:18:26,400
Speaker 1: anything after dinner, say, let's say nothing after six pm,

1403
01:18:26,479 --> 01:18:28,960
Speaker 1: and most days, even though I have my banana most

1404
01:18:29,000 --> 01:18:32,120
Speaker 1: days of sleighs here and I don't eat anything until

1405
01:18:32,120 --> 01:18:34,519
Speaker 1: about nine thirty, ten o'clock.

1406
01:18:34,680 --> 01:18:35,360
Speaker 7: That's perfect.

1407
01:18:35,439 --> 01:18:37,960
Speaker 1: See, you makes me eighteen and Keith, you can.

1408
01:18:37,880 --> 01:18:40,200
Speaker 7: Go into what sixteen eight does versus.

1409
01:18:41,680 --> 01:18:44,800
Speaker 5: Well, Basically, you're just igniting your your liver to start

1410
01:18:44,840 --> 01:18:47,840
Speaker 5: doing its job, putting you in a glaconeogenesis which allows

1411
01:18:47,840 --> 01:18:50,240
Speaker 5: you to convert you know, your storage food or your

1412
01:18:50,240 --> 01:18:53,479
Speaker 5: protein into energy instead of having to depend on sugar

1413
01:18:53,520 --> 01:18:56,040
Speaker 5: all the time, if via carbohydrates.

1414
01:18:56,280 --> 01:18:59,200
Speaker 1: So that helps improve your your your liver function scores

1415
01:18:59,240 --> 01:19:01,040
Speaker 1: when you get a blood to So in spite of

1416
01:19:01,080 --> 01:19:04,400
Speaker 1: your best efforts to harm your liver with your other activities,

1417
01:19:04,400 --> 01:19:07,519
Speaker 1: by doing this fasting thing regularly and routinely, you can

1418
01:19:07,640 --> 01:19:10,479
Speaker 1: keep the liver in good health. That's right, because there's

1419
01:19:10,479 --> 01:19:12,640
Speaker 1: the answer, Doctor Pritchard anyway, go ahead.

1420
01:19:13,600 --> 01:19:15,640
Speaker 5: And at the same time, you're burning a lot of

1421
01:19:15,680 --> 01:19:18,800
Speaker 5: the fat they sometimes accumulates in the liver making livers.

1422
01:19:19,200 --> 01:19:21,439
Speaker 5: She would, wouldn't you exactly, And so that kind of

1423
01:19:21,479 --> 01:19:24,639
Speaker 5: continuous situation. We eat too much in America anyway, right, Yes,

1424
01:19:24,640 --> 01:19:26,599
Speaker 5: we always this three mil a day thing is a scam.

1425
01:19:26,680 --> 01:19:28,840
Speaker 5: That's that's a food industry gimmick, and we don't need

1426
01:19:28,880 --> 01:19:30,880
Speaker 5: to be doing that. I am a big component of

1427
01:19:30,960 --> 01:19:33,880
Speaker 5: making sure that you round up protein nicely throughout the day.

1428
01:19:34,080 --> 01:19:36,280
Speaker 5: So I mean, there is some research that we really

1429
01:19:36,280 --> 01:19:38,479
Speaker 5: haven't talked much about, but people can do a bulk

1430
01:19:38,520 --> 01:19:41,120
Speaker 5: of protein in the morning and a bulk of protein

1431
01:19:41,160 --> 01:19:44,800
Speaker 5: in their in their later meals. A bulk being roughly

1432
01:19:44,840 --> 01:19:47,120
Speaker 5: half your body weight as far as kilograms go, So

1433
01:19:47,120 --> 01:19:49,200
Speaker 5: you should be anywhere from like point six to one

1434
01:19:50,280 --> 01:19:52,680
Speaker 5: gram of protein per kilogram.

1435
01:19:52,400 --> 01:19:54,200
Speaker 1: Gram per kilogram, Okay, if.

1436
01:19:54,080 --> 01:19:55,680
Speaker 5: You're weigh two hundred pounds, you're look at about one

1437
01:19:55,720 --> 01:19:58,400
Speaker 5: hundred grams at a one milligram per kilogram or one gram,

1438
01:19:58,720 --> 01:20:01,040
Speaker 5: so roughly anywhere from fi do you to one hundred grams

1439
01:20:01,040 --> 01:20:03,719
Speaker 5: of protein for a two hundred pound patient or person

1440
01:20:03,800 --> 01:20:05,559
Speaker 5: if you're especially if you're working out, then you can

1441
01:20:05,560 --> 01:20:06,520
Speaker 5: bring that protein.

1442
01:20:06,280 --> 01:20:06,800
Speaker 3: Up as well.

1443
01:20:07,280 --> 01:20:09,920
Speaker 1: But is twice a day rough?

1444
01:20:09,960 --> 01:20:12,240
Speaker 6: Yeah, exactly and two meals a day? How am I doing?

1445
01:20:12,240 --> 01:20:12,320
Speaker 2: Now?

1446
01:20:12,320 --> 01:20:14,200
Speaker 5: If you're working out, some people eat a lot more

1447
01:20:14,200 --> 01:20:16,720
Speaker 5: frequently throughout the day because of their glucose index and

1448
01:20:16,760 --> 01:20:20,799
Speaker 5: their needs for that. But when you start lengthening that fast,

1449
01:20:20,920 --> 01:20:23,080
Speaker 5: then you start doing some really cool stuff where you

1450
01:20:23,160 --> 01:20:25,479
Speaker 5: start in the beginning, you start breaking down cells that

1451
01:20:25,520 --> 01:20:28,040
Speaker 5: your body doesn't need. It goes around chewing up things,

1452
01:20:28,040 --> 01:20:30,200
Speaker 5: and it will know I don't need that cell that

1453
01:20:30,240 --> 01:20:34,120
Speaker 5: cells dysfunctional aka cancer cells, right, and so you start

1454
01:20:34,120 --> 01:20:38,520
Speaker 5: to actually chew up old cells, bad cells, dead cells.

1455
01:20:38,400 --> 01:20:39,519
Speaker 6: As energy sources.

1456
01:20:39,680 --> 01:20:42,120
Speaker 5: Okay, and then you start getting into stem cell production,

1457
01:20:42,160 --> 01:20:44,679
Speaker 5: where your body is now in a semi kind of like, hey,

1458
01:20:44,680 --> 01:20:47,599
Speaker 5: we need to start really regenerating our cellulars like.

1459
01:20:47,600 --> 01:20:49,840
Speaker 1: A desperation mode. My god, we're not gonna any food

1460
01:20:49,880 --> 01:20:52,880
Speaker 1: coming in here, right, and that's why you produce.

1461
01:20:53,600 --> 01:20:55,839
Speaker 7: You are a huge fan of the longer fast.

1462
01:20:55,960 --> 01:20:57,800
Speaker 1: Yeah, that's the next question was going to have. So

1463
01:20:58,200 --> 01:21:00,920
Speaker 1: what I'm doing intimate and fast thing? Fun? But you said,

1464
01:21:00,920 --> 01:21:03,439
Speaker 1: then you move into the longer fat. How long are

1465
01:21:03,439 --> 01:21:04,720
Speaker 1: we talking about here? Well?

1466
01:21:04,800 --> 01:21:06,720
Speaker 5: I mean I would love to see people in a

1467
01:21:06,720 --> 01:21:08,400
Speaker 5: four day past for how long?

1468
01:21:08,640 --> 01:21:10,799
Speaker 1: I mean for how how frequently?

1469
01:21:10,840 --> 01:21:13,080
Speaker 6: How frequently? Yeah, I don't people do it different.

1470
01:21:13,080 --> 01:21:14,640
Speaker 5: I would say a least probably once a month if

1471
01:21:14,640 --> 01:21:16,519
Speaker 5: you really want to knock out cancer, if you.

1472
01:21:16,520 --> 01:21:19,000
Speaker 7: Want to knock out cancer. But for health, I've seen

1473
01:21:19,040 --> 01:21:21,599
Speaker 7: most of them say like once a quarter or something.

1474
01:21:21,840 --> 01:21:23,920
Speaker 6: Okay, and you want to clean out the engine that way.

1475
01:21:23,960 --> 01:21:24,160
Speaker 3: Yeah.

1476
01:21:24,200 --> 01:21:26,440
Speaker 7: So we've been doing this for like a year. I've

1477
01:21:26,800 --> 01:21:28,760
Speaker 7: gone as long as two days before. This is the

1478
01:21:28,760 --> 01:21:31,959
Speaker 7: first time I've tried longer than two. And what's interesting

1479
01:21:32,120 --> 01:21:36,679
Speaker 7: is you get these hits. So like around ten o'clock

1480
01:21:36,760 --> 01:21:39,120
Speaker 7: the first day, you know, I haven't eaten since six pm,

1481
01:21:39,200 --> 01:21:41,320
Speaker 7: ten o'clock, which is when I normally started to eat. Right,

1482
01:21:41,760 --> 01:21:44,080
Speaker 7: I'm hungry. Well, if you can rough it out for

1483
01:21:44,080 --> 01:21:45,479
Speaker 7: two hours, that goes away.

1484
01:21:45,840 --> 01:21:47,160
Speaker 1: Help drink a glass of water.

1485
01:21:47,400 --> 01:21:49,200
Speaker 7: Drink of water, and then you know, some salt with

1486
01:21:49,240 --> 01:21:51,439
Speaker 7: your water, just so you got to Celtic sea salt. Yeah,

1487
01:21:51,560 --> 01:21:55,040
Speaker 7: sea salt. And then what was interesting with me this

1488
01:21:55,160 --> 01:21:58,040
Speaker 7: time was when I got to you know, thirty six

1489
01:21:58,200 --> 01:22:01,840
Speaker 7: forty hours, I started to feel like I was starving. Yeah,

1490
01:22:01,880 --> 01:22:03,880
Speaker 7: I told my wife. I said, I'm going to quit tonight,

1491
01:22:04,000 --> 01:22:07,360
Speaker 7: you know, meeting today. Yes, I woke up this morning,

1492
01:22:07,680 --> 01:22:09,400
Speaker 7: I've got hungry. I feel fine.

1493
01:22:09,560 --> 01:22:10,799
Speaker 6: It's like, shoot, I could.

1494
01:22:10,640 --> 01:22:13,559
Speaker 7: Go another day, but now I'm looking forward to you know,

1495
01:22:13,800 --> 01:22:14,559
Speaker 7: sooner tonight.

1496
01:22:14,600 --> 01:22:16,640
Speaker 1: Well, in your experience, George, and I suppose this is

1497
01:22:16,640 --> 01:22:22,360
Speaker 1: well documented, just ride out those hunger pangs because there

1498
01:22:22,479 --> 01:22:23,519
Speaker 1: is a light at the end of the tunnel in

1499
01:22:23,560 --> 01:22:25,280
Speaker 1: a few hours down the road. It's interesting.

1500
01:22:25,920 --> 01:22:28,200
Speaker 7: And I only did this because I've been getting yelled

1501
01:22:28,240 --> 01:22:29,639
Speaker 7: at here for a year, right, yeah.

1502
01:22:29,560 --> 01:22:32,320
Speaker 1: Yeah, yeah, he's like to you what my wife is

1503
01:22:32,360 --> 01:22:32,519
Speaker 1: to me.

1504
01:22:32,720 --> 01:22:35,360
Speaker 7: So I thought, okay, I'll give it a shot. And

1505
01:22:35,800 --> 01:22:39,120
Speaker 7: like last night, going to bed, I had the migraines

1506
01:22:39,160 --> 01:22:42,599
Speaker 7: I get because I get migraines, but that all went

1507
01:22:42,640 --> 01:22:45,040
Speaker 7: away this morning. It's like, Okay, you gotta just trust

1508
01:22:45,080 --> 01:22:48,120
Speaker 7: the process. So now I'm a believer. So next time

1509
01:22:48,160 --> 01:22:50,360
Speaker 7: I do this, I do what Thanksgiving, I'll go.

1510
01:22:50,400 --> 01:22:53,120
Speaker 5: Longer do kind of a Surgeon General's warning, and that

1511
01:22:53,280 --> 01:22:56,080
Speaker 5: makes sure that you stay hydrated, very very important because

1512
01:22:56,080 --> 01:22:59,040
Speaker 5: of the process of going into ketosis. You really need

1513
01:22:59,080 --> 01:23:01,320
Speaker 5: water to help clear out all the keytones and your

1514
01:23:01,400 --> 01:23:03,280
Speaker 5: kidneys and everything. Else and it can cause a problem.

1515
01:23:03,560 --> 01:23:05,559
Speaker 7: Yeah, and don't be far from a bathroom while you're

1516
01:23:05,560 --> 01:23:07,960
Speaker 7: doing that, so make sure you're drinking plenty of water.

1517
01:23:08,000 --> 01:23:10,240
Speaker 1: Plenty of water. More with George and Keith or Restore

1518
01:23:10,280 --> 01:23:12,400
Speaker 1: Wellness dot Org. It's seven twenty six right now if

1519
01:23:12,439 --> 01:23:15,559
Speaker 1: you have KRCD talk station, oh I Love twenty two

1520
01:23:15,600 --> 01:23:17,360
Speaker 1: three on Rope forty two between Mason and eleven and

1521
01:23:17,479 --> 01:23:22,519
Speaker 1: s Happy Friday, Happy Healthy Friday with George Brenman and

1522
01:23:22,560 --> 01:23:25,720
Speaker 1: Keithenfield in sidio. Go to Restore Wellness dot org. You

1523
01:23:25,720 --> 01:23:28,360
Speaker 1: guys have that podcast with doctor or with Professor Thomas

1524
01:23:28,560 --> 01:23:32,840
Speaker 1: Seafried on your Restore Wellness dot org website. So if

1525
01:23:32,840 --> 01:23:34,880
Speaker 1: people are wildly curious about what he had to say,

1526
01:23:34,920 --> 01:23:36,640
Speaker 1: even though it is technical, you're going to release a

1527
01:23:36,680 --> 01:23:39,200
Speaker 1: follow up public podcast to break this down a little

1528
01:23:39,200 --> 01:23:45,040
Speaker 1: bit more so. We talked about the direct correlation the

1529
01:23:45,040 --> 01:23:47,799
Speaker 1: research that's been going on for decades and decades between

1530
01:23:47,800 --> 01:23:52,439
Speaker 1: sugar and cancer. Talked about keto being profoundly influential on

1531
01:23:52,960 --> 01:23:57,439
Speaker 1: well reducing cancer living, the size, the spread, killing it

1532
01:23:57,520 --> 01:24:00,200
Speaker 1: basically by depriving it of the nutrients it's looking for

1533
01:24:00,479 --> 01:24:04,320
Speaker 1: or the sugar it's looking for you talked about fasting

1534
01:24:04,320 --> 01:24:06,679
Speaker 1: and the importance of fasting. You get this process going.

1535
01:24:08,600 --> 01:24:10,080
Speaker 1: I know the E word is going to come in.

1536
01:24:10,160 --> 01:24:14,040
Speaker 1: Let's get it out of the way. Exercise go ahead.

1537
01:24:14,320 --> 01:24:16,599
Speaker 7: Well, exercise is the cheat of the system. So one

1538
01:24:16,600 --> 01:24:18,519
Speaker 7: way to get rid of sugar is never put it in.

1539
01:24:18,920 --> 01:24:21,280
Speaker 7: The other way to get that sugar is to exercise.

1540
01:24:21,320 --> 01:24:23,040
Speaker 1: Well, see, if you don't want to exercise, can you

1541
01:24:23,080 --> 01:24:24,800
Speaker 1: just take this, take the bull by the horns and

1542
01:24:24,840 --> 01:24:25,719
Speaker 1: eliminate the sugar.

1543
01:24:26,240 --> 01:24:28,160
Speaker 5: Right, that's a great way. Look, starve yourself to death

1544
01:24:28,160 --> 01:24:30,920
Speaker 5: and you'd be great. I mean anyway, So let's talk

1545
01:24:30,920 --> 01:24:34,320
Speaker 5: about what muscle is. Muscle is a fantastic organ. It

1546
01:24:34,360 --> 01:24:37,200
Speaker 5: does more things for your body than probably anything else.

1547
01:24:37,439 --> 01:24:39,360
Speaker 5: And you can grow muscle, you can make more of

1548
01:24:39,439 --> 01:24:42,040
Speaker 5: an excellent thing. And when you let your body go

1549
01:24:42,080 --> 01:24:44,400
Speaker 5: to waste and then you don't move muscles, and it starts,

1550
01:24:44,520 --> 01:24:47,440
Speaker 5: especially after your the age of forty, muscle starts to disappear.

1551
01:24:47,840 --> 01:24:48,120
Speaker 1: Right.

1552
01:24:48,320 --> 01:24:49,639
Speaker 6: Cycopenia is what they call it.

1553
01:24:49,800 --> 01:24:52,639
Speaker 5: And so if you can imagine, if we need muscle

1554
01:24:52,680 --> 01:24:55,240
Speaker 5: in order to absorb sugar, and we go work out

1555
01:24:55,280 --> 01:24:57,840
Speaker 5: and build more muscle, we're gonna absorb more sugar when

1556
01:24:57,880 --> 01:25:01,160
Speaker 5: we're going to keep that glucose index lower, therefore lowering

1557
01:25:01,160 --> 01:25:04,240
Speaker 5: your risk of cancer, diabetes, heart disease, the whole gamut

1558
01:25:04,280 --> 01:25:06,400
Speaker 5: because high sugar causes so much disease.

1559
01:25:06,680 --> 01:25:10,960
Speaker 1: Okay, so can you say absorbed sugar that that's taking

1560
01:25:11,000 --> 01:25:12,920
Speaker 1: it out of your body because it's using it to

1561
01:25:12,960 --> 01:25:16,120
Speaker 1: actually convert to energy as opposed to fueling the growth

1562
01:25:16,120 --> 01:25:16,599
Speaker 1: of cancer.

1563
01:25:16,640 --> 01:25:19,760
Speaker 5: The more muscle you have, the more resting metabolic rate

1564
01:25:19,840 --> 01:25:23,240
Speaker 5: you have, so you're burning muscle or sorry, burning fat,

1565
01:25:23,280 --> 01:25:24,479
Speaker 5: doing absolutely nothing.

1566
01:25:24,600 --> 01:25:26,400
Speaker 6: If you have more muscle, I see.

1567
01:25:26,280 --> 01:25:29,760
Speaker 5: It's an engine, like just this metabolic engine, if you will.

1568
01:25:29,880 --> 01:25:31,799
Speaker 5: And the more muscle you have, the more your metabolic

1569
01:25:31,840 --> 01:25:33,439
Speaker 5: process happens.

1570
01:25:33,439 --> 01:25:34,960
Speaker 1: Pretty cool, it really is.

1571
01:25:35,160 --> 01:25:39,120
Speaker 7: And so the exercise is like if you wanted to

1572
01:25:39,360 --> 01:25:42,040
Speaker 7: supercharge what you're doing with your diet. So if you

1573
01:25:42,240 --> 01:25:44,120
Speaker 7: if you just do the diet alone, yes, things are

1574
01:25:44,160 --> 01:25:45,920
Speaker 7: going to get better. If you can keep your body

1575
01:25:45,920 --> 01:25:48,479
Speaker 7: in keytosis, things are going to get better, and not

1576
01:25:48,560 --> 01:25:51,320
Speaker 7: just cancer. I mean, like let's just say it, it's everything.

1577
01:25:52,160 --> 01:25:55,719
Speaker 7: Type two diabetes will go away, dementia risk goes way

1578
01:25:55,760 --> 01:25:56,880
Speaker 7: down if you're in ketose.

1579
01:25:56,960 --> 01:25:59,639
Speaker 1: So there is a correlation between this and dementia risk

1580
01:25:59,680 --> 01:26:00,000
Speaker 1: as well.

1581
01:26:00,080 --> 01:26:02,680
Speaker 7: Oh absolutely. In fact, the only drug that works for

1582
01:26:03,600 --> 01:26:06,880
Speaker 7: dementia right now is keto. They keep trying all these

1583
01:26:06,960 --> 01:26:07,879
Speaker 7: drugs that try.

1584
01:26:07,760 --> 01:26:11,040
Speaker 1: To make this whole plaque build up path and apparently

1585
01:26:11,120 --> 01:26:13,680
Speaker 1: that is that apparently didn't work out.

1586
01:26:13,960 --> 01:26:14,760
Speaker 6: Two things you can.

1587
01:26:14,680 --> 01:26:18,680
Speaker 7: Do for dementia or go into katosis and stop taking statins.

1588
01:26:19,040 --> 01:26:21,880
Speaker 7: You need that cholesterol to build your brain back up.

1589
01:26:22,080 --> 01:26:24,360
Speaker 5: Now I'm talking like a doctor, So back now. You're

1590
01:26:24,360 --> 01:26:26,600
Speaker 5: doing a fantastic job, and I appreciate it. And I

1591
01:26:26,640 --> 01:26:31,360
Speaker 5: think the other aspect to this is that exercise needs

1592
01:26:31,400 --> 01:26:33,559
Speaker 5: to be looked at as just as important as sleeping,

1593
01:26:33,840 --> 01:26:37,080
Speaker 5: just as important as eating and drinking water and breathing.

1594
01:26:37,120 --> 01:26:39,200
Speaker 5: I mean, it is essential to our life. We talked

1595
01:26:39,200 --> 01:26:41,559
Speaker 5: about the Paleo like everybody was moving back then, and

1596
01:26:41,560 --> 01:26:43,920
Speaker 5: we weren't. You had to kill your We were sying

1597
01:26:44,000 --> 01:26:46,799
Speaker 5: because we broke a bone and it got massively infected.

1598
01:26:46,800 --> 01:26:49,919
Speaker 5: We didn't have antibiotics back then, but we died healthy.

1599
01:26:50,520 --> 01:26:54,439
Speaker 5: Here we are just getting eaten away because of sedentary lifestyle.

1600
01:26:54,680 --> 01:26:57,080
Speaker 5: So if we were too, honestly, as a country, if

1601
01:26:57,080 --> 01:26:59,800
Speaker 5: we were to exercise at least five days a week,

1602
01:27:00,120 --> 01:27:01,760
Speaker 5: you know, make it a part of your routine because

1603
01:27:01,800 --> 01:27:03,240
Speaker 5: I need to, because I have a sit down job,

1604
01:27:03,320 --> 01:27:06,360
Speaker 5: or whatever it might be. You would be so healthy,

1605
01:27:06,360 --> 01:27:09,240
Speaker 5: everybody be so healthy, we would be disease would start

1606
01:27:09,280 --> 01:27:11,080
Speaker 5: to go away. We'd actually start to move the mark

1607
01:27:11,120 --> 01:27:15,040
Speaker 5: on cancer risk and heart disease. But instead nobody's getting

1608
01:27:15,120 --> 01:27:18,880
Speaker 5: cured of those things right. And my friend Jimbo Collins,

1609
01:27:18,880 --> 01:27:20,240
Speaker 5: he is a jim on the West Side. He is

1610
01:27:20,280 --> 01:27:23,080
Speaker 5: the healthiest guy I know, and he's he's ripped right.

1611
01:27:23,200 --> 01:27:25,639
Speaker 5: He works out all the time, and I admire that.

1612
01:27:25,920 --> 01:27:28,160
Speaker 5: And because I became friends with him, I have also

1613
01:27:28,240 --> 01:27:30,440
Speaker 5: understood and seen the benefits of exercise.

1614
01:27:32,240 --> 01:27:35,000
Speaker 1: I know. See, I'm not in a position to deny

1615
01:27:35,040 --> 01:27:38,040
Speaker 1: any of this. I'm just I can repeat chapter and

1616
01:27:38,160 --> 01:27:41,800
Speaker 1: verse for like the next hour all the reasons that

1617
01:27:41,880 --> 01:27:45,080
Speaker 1: people should exercise. And I had my own physician yesterday

1618
01:27:45,240 --> 01:27:46,840
Speaker 1: doing the same thing. He said, you know, Brian, you

1619
01:27:46,880 --> 01:27:48,280
Speaker 1: might when I said, I can tell you what you're

1620
01:27:48,320 --> 01:27:50,840
Speaker 1: going to say, like, you know, just talk to my wife.

1621
01:27:50,840 --> 01:27:52,800
Speaker 1: And how many times has she had these exact same

1622
01:27:52,840 --> 01:27:56,160
Speaker 1: conversations with me or anybody like Keith and George worked

1623
01:27:56,160 --> 01:27:59,679
Speaker 1: out too. She works well in a sense, every single

1624
01:27:59,760 --> 01:28:03,120
Speaker 1: day she takes Liam out to the park and does

1625
01:28:03,200 --> 01:28:06,160
Speaker 1: at least a couple of miles while either walking or

1626
01:28:06,200 --> 01:28:09,679
Speaker 1: for fast running chasing the dog around. Yeah, and Liam

1627
01:28:09,680 --> 01:28:12,720
Speaker 1: gets probably quadruple that running around chasing the laser being

1628
01:28:12,760 --> 01:28:15,280
Speaker 1: But yeah, every single day my wife is and that's

1629
01:28:15,280 --> 01:28:16,880
Speaker 1: what she'll say to that. She goes, I got into

1630
01:28:16,880 --> 01:28:17,559
Speaker 1: the park and walk.

1631
01:28:17,640 --> 01:28:19,120
Speaker 6: You can at least get up and walk the dog.

1632
01:28:19,200 --> 01:28:21,639
Speaker 1: I know, I know, I know. Seven thirty six more

1633
01:28:21,640 --> 01:28:24,479
Speaker 1: with Keith and George. After I mentioned cross Country Mortgage

1634
01:28:24,560 --> 01:28:28,040
Speaker 1: Great top station seven forty here fifty five K see

1635
01:28:28,040 --> 01:28:31,800
Speaker 1: the talk station Time to Restore Health Restore Health Dot Org,

1636
01:28:32,439 --> 01:28:34,840
Speaker 1: Keith NFL, George Brodman in studio. We're talking to restore

1637
01:28:34,880 --> 01:28:39,160
Speaker 1: it's restore wellness rather restore cancer the underlying theme for this.

1638
01:28:39,280 --> 01:28:41,559
Speaker 1: But overall it's all about diets. So even if you

1639
01:28:41,560 --> 01:28:45,160
Speaker 1: don't have cancer, everything George and Keith that you're talking

1640
01:28:45,200 --> 01:28:50,000
Speaker 1: about is strongly encourage really for everyone.

1641
01:28:49,840 --> 01:28:52,960
Speaker 7: Because it's they're all the same symptom. I mean, the

1642
01:28:53,320 --> 01:28:55,920
Speaker 7: book Good Energy from Casey means who hopefully will be

1643
01:28:56,280 --> 01:28:59,320
Speaker 7: surge in general soon. But her book is totally focused

1644
01:28:59,360 --> 01:29:02,160
Speaker 7: on what happens when the energy in your cells is

1645
01:29:02,200 --> 01:29:05,040
Speaker 7: not being fed properly and not working properly. It leads

1646
01:29:05,040 --> 01:29:08,400
Speaker 7: to all of those diseases, type two, diabetes, dementia, cancer,

1647
01:29:08,520 --> 01:29:11,840
Speaker 7: all of them. And so you're right, this is this

1648
01:29:11,880 --> 01:29:14,679
Speaker 7: is kind of like the foundation for not getting sick

1649
01:29:15,040 --> 01:29:15,920
Speaker 7: in the first place.

1650
01:29:16,360 --> 01:29:18,840
Speaker 1: Understood, Get ahead of it and you don't have to

1651
01:29:18,880 --> 01:29:23,080
Speaker 1: deal with the aftermath. That's fine, so Keith. Earlier in

1652
01:29:23,160 --> 01:29:25,639
Speaker 1: the show, unless you're so, I know you're off air,

1653
01:29:25,680 --> 01:29:27,120
Speaker 1: you were saying, I don't want to sound preachy. I

1654
01:29:27,120 --> 01:29:28,960
Speaker 1: don't want to sound like I'm lecturing. I don't think

1655
01:29:29,000 --> 01:29:31,400
Speaker 1: it necessarily does. But I know where you're coming from.

1656
01:29:32,000 --> 01:29:34,839
Speaker 1: It is out of an abundance of care and concern

1657
01:29:35,000 --> 01:29:38,759
Speaker 1: for people generally speaking that this advice comes from. Sometimes

1658
01:29:38,880 --> 01:29:40,920
Speaker 1: takes a hammer to get people to follow the advice,

1659
01:29:40,960 --> 01:29:42,680
Speaker 1: but at least you're providing it, and I applaud you

1660
01:29:42,760 --> 01:29:45,120
Speaker 1: guys for doing that, whether or not someone follows it

1661
01:29:45,200 --> 01:29:47,160
Speaker 1: or not. And the only reason I bring up my

1662
01:29:47,240 --> 01:29:51,719
Speaker 1: own personal you know reality on this because I've been

1663
01:29:51,880 --> 01:29:54,120
Speaker 1: with the before part and i've been with the afterpart,

1664
01:29:54,160 --> 01:29:57,080
Speaker 1: and I didn't pursue it as headlong as you guys

1665
01:29:57,080 --> 01:29:59,680
Speaker 1: are recommending. I haven't done multi day fast. I do

1666
01:29:59,800 --> 01:30:03,639
Speaker 1: these little periodic fast kind of thing. But I'm living

1667
01:30:03,720 --> 01:30:06,360
Speaker 1: proof that if you do something along these lines, you're

1668
01:30:06,360 --> 01:30:08,960
Speaker 1: gonna definitely notice it, and it's going to improve your

1669
01:30:09,000 --> 01:30:11,439
Speaker 1: life to some degree. My life could be improved to

1670
01:30:11,479 --> 01:30:14,720
Speaker 1: a greater degree if I again started regularly exercising and

1671
01:30:14,760 --> 01:30:16,800
Speaker 1: doing some of the other things, but earlier in the program.

1672
01:30:17,280 --> 01:30:19,720
Speaker 1: So I hope I apologize for your lecturing concerns there

1673
01:30:19,760 --> 01:30:20,960
Speaker 1: real quick, they're keep thank you.

1674
01:30:20,960 --> 01:30:22,800
Speaker 6: You had mentioned this, and this came up.

1675
01:30:22,800 --> 01:30:26,639
Speaker 1: During COVID Ivermeckedin and and anybody who's uttered the word

1676
01:30:26,720 --> 01:30:28,240
Speaker 1: iver meted in at one point, Ah.

1677
01:30:28,160 --> 01:30:28,759
Speaker 6: You're crazy.

1678
01:30:28,760 --> 01:30:29,519
Speaker 1: It's a horse pill.

1679
01:30:29,680 --> 01:30:30,760
Speaker 6: You know this is insane.

1680
01:30:31,000 --> 01:30:34,840
Speaker 1: Donald Trump evil orange man. Because Trump said Ivermechedin out

1681
01:30:34,880 --> 01:30:37,240
Speaker 1: loud a couple of times. I don't know. Pharmacies were

1682
01:30:37,240 --> 01:30:40,280
Speaker 1: prohibited from even filling prescriptions for it, which is to

1683
01:30:40,360 --> 01:30:43,240
Speaker 1: me the intrusion into the doctor patient relationship like no

1684
01:30:43,320 --> 01:30:45,960
Speaker 1: other I've ever witnessed in my life. But what's the

1685
01:30:46,040 --> 01:30:48,280
Speaker 1: story with this stuff? What's I mean it does? It's

1686
01:30:49,120 --> 01:30:51,639
Speaker 1: it goes after parasites, So how in the hell does that?

1687
01:30:51,640 --> 01:30:54,120
Speaker 1: That was a design for treating animals and is a

1688
01:30:54,200 --> 01:30:57,320
Speaker 1: proof for human use. You mentioned, Keith, what the.

1689
01:30:57,240 --> 01:30:58,920
Speaker 5: Hell's it got to do with this diet styf so

1690
01:30:59,360 --> 01:31:01,720
Speaker 5: regarding it asying, Thomas Sefried said that he was going

1691
01:31:01,760 --> 01:31:04,360
Speaker 5: to study ivermectin in the research back in twenty twenty

1692
01:31:04,360 --> 01:31:06,960
Speaker 5: three for this particular situation, but it was too political,

1693
01:31:07,360 --> 01:31:11,760
Speaker 5: so they chose me menmendazol, which is similar to femmindazol

1694
01:31:11,760 --> 01:31:13,360
Speaker 5: and ivermectin and albindazol.

1695
01:31:13,400 --> 01:31:14,879
Speaker 1: So they're all the same drug category.

1696
01:31:15,000 --> 01:31:18,839
Speaker 5: Yes, okay, they're basically anti parasitics. And what Thomas Sefree

1697
01:31:18,840 --> 01:31:21,040
Speaker 5: came did to learn is that the same food source

1698
01:31:21,400 --> 01:31:24,320
Speaker 5: that parasites use is the same food source that cancer uses.

1699
01:31:24,640 --> 01:31:28,439
Speaker 5: So basically, when you have parasites, you're producing this cancer

1700
01:31:28,720 --> 01:31:31,640
Speaker 5: fuel and vice versa. And so that's why there's this

1701
01:31:31,680 --> 01:31:34,640
Speaker 5: potential link between when you have cancer you have parasites.

1702
01:31:34,960 --> 01:31:37,720
Speaker 5: But at the same time, anti parasitics has also been

1703
01:31:37,760 --> 01:31:40,559
Speaker 5: shown to actually disrupt cell membrane and cancer as well,

1704
01:31:41,000 --> 01:31:46,200
Speaker 5: So glucose glutamine parasite food, glucose glutamine cancer.

1705
01:31:45,920 --> 01:31:50,400
Speaker 7: Food in the in the the ivermectans of the world

1706
01:31:50,680 --> 01:31:55,800
Speaker 7: block that reaction. So the same chemistry that parasites use

1707
01:31:55,840 --> 01:31:58,160
Speaker 7: for energy is the same chemistry cancer uses.

1708
01:31:58,760 --> 01:32:01,960
Speaker 1: And so therefore him thing that you like to take this.

1709
01:32:01,880 --> 01:32:04,200
Speaker 7: This is why I liked it, what the whole discussion

1710
01:32:04,280 --> 01:32:07,600
Speaker 7: is because it was extremely technical. But you understand that

1711
01:32:07,640 --> 01:32:10,920
Speaker 7: this guy's looking at it from the equations of chemistry

1712
01:32:11,320 --> 01:32:16,160
Speaker 7: and he's saying, these anti parasitics are so parasite stuff

1713
01:32:16,320 --> 01:32:18,280
Speaker 7: works because it's the same process.

1714
01:32:18,600 --> 01:32:22,240
Speaker 1: Idiot Thomas, no law or no, not licensed to practice medicine,

1715
01:32:22,400 --> 01:32:26,439
Speaker 1: not even close. It's sort of an off label use. Yes,

1716
01:32:26,560 --> 01:32:29,320
Speaker 1: ivermacdinf and Bendazel and the other ones were designed to

1717
01:32:29,360 --> 01:32:33,240
Speaker 1: deal with, you know, parasites and animals, but humans can

1718
01:32:33,320 --> 01:32:36,080
Speaker 1: benefit from these to get rid of their parasites that

1719
01:32:36,160 --> 01:32:39,320
Speaker 1: might live in their body. But parenthetically, in addition to

1720
01:32:39,400 --> 01:32:43,760
Speaker 1: doing that completely separate from its anti parasitic function, it

1721
01:32:43,880 --> 01:32:47,600
Speaker 1: also has the effect of impacting this this cellular relationship

1722
01:32:47,600 --> 01:32:49,440
Speaker 1: between the cancer.

1723
01:32:49,240 --> 01:32:50,439
Speaker 7: Cancer survive as well.

1724
01:32:50,479 --> 01:32:52,680
Speaker 5: And then we get back into drug research and the

1725
01:32:52,720 --> 01:32:55,759
Speaker 5: finances and the money behind that. You know, the whole

1726
01:32:55,760 --> 01:32:57,960
Speaker 5: industry and these medicines has been around for a very

1727
01:32:58,000 --> 01:32:58,519
Speaker 5: long time.

1728
01:32:58,680 --> 01:33:01,519
Speaker 1: So so there's an center for the pharmaceutical company to

1729
01:33:01,880 --> 01:33:04,639
Speaker 1: diss and otherwise belittle anybody who might mention it along

1730
01:33:04,640 --> 01:33:08,439
Speaker 1: these lines because they have patented pharmaceuticals out there which

1731
01:33:08,479 --> 01:33:11,080
Speaker 1: nobody would buy if they realized that these drugs did

1732
01:33:11,120 --> 01:33:13,680
Speaker 1: the same thing, and they're basically over the count do

1733
01:33:13,720 --> 01:33:13,960
Speaker 1: it back.

1734
01:33:14,000 --> 01:33:16,400
Speaker 5: And we also found an ivermectin was also anti viral

1735
01:33:16,520 --> 01:33:18,439
Speaker 5: as well, and that was where the whole Fauci thing

1736
01:33:18,479 --> 01:33:18,840
Speaker 5: came out.

1737
01:33:19,080 --> 01:33:21,200
Speaker 6: Don't treat your COVID with horse medicine, you know.

1738
01:33:21,520 --> 01:33:23,960
Speaker 5: And so I find that I'm also frustrated with the

1739
01:33:23,960 --> 01:33:26,800
Speaker 5: medical industry and that doctors only are allowed so many

1740
01:33:26,840 --> 01:33:29,200
Speaker 5: minutes per visit for their patients at the same time

1741
01:33:29,240 --> 01:33:31,320
Speaker 5: they have to push certain drugs or as they're getting

1742
01:33:31,400 --> 01:33:33,919
Speaker 5: dinged or they're not meeting this benchmark or this checklist.

1743
01:33:34,160 --> 01:33:37,080
Speaker 5: And I really would love for this whole industry to

1744
01:33:37,120 --> 01:33:40,080
Speaker 5: really wake up. And I believe that physicians really want

1745
01:33:40,080 --> 01:33:42,000
Speaker 5: to do what's best for their patients, but their hands

1746
01:33:42,040 --> 01:33:44,360
Speaker 5: are being tied down by these financial obligations.

1747
01:33:44,439 --> 01:33:47,600
Speaker 1: Well, the financial obligations, but separate from that, you know,

1748
01:33:47,680 --> 01:33:50,400
Speaker 1: physicians are also influenced by social media, and if they

1749
01:33:50,400 --> 01:33:53,000
Speaker 1: were to even suggest out loud the word ivermectin, they're

1750
01:33:53,000 --> 01:33:55,320
Speaker 1: probably in a room with a patient who thinks it's

1751
01:33:55,320 --> 01:33:57,280
Speaker 1: oh my god, horse pill. Didn't you hear what Fauci

1752
01:33:57,320 --> 01:33:59,760
Speaker 1: said about the horse pills? And so they're gonna be

1753
01:33:59,760 --> 01:34:02,799
Speaker 1: met with that. You know, that that wall of belief

1754
01:34:02,920 --> 01:34:06,280
Speaker 1: that has been parroted since COVID nineteen was going around.

1755
01:34:06,320 --> 01:34:08,519
Speaker 1: I do give propaganda if you will, I do give

1756
01:34:08,520 --> 01:34:10,719
Speaker 1: them credit. Though, the feedback that I'm getting from patients

1757
01:34:10,720 --> 01:34:13,599
Speaker 1: is that the oncologists in the cancer areas are starting

1758
01:34:13,640 --> 01:34:15,479
Speaker 1: to say, yeah, I mean, we hear a lot of

1759
01:34:15,800 --> 01:34:17,880
Speaker 1: new things about ivermectin, and there seems to be this

1760
01:34:17,920 --> 01:34:20,640
Speaker 1: open conversation starting to happen. They don't tell you no,

1761
01:34:20,920 --> 01:34:24,160
Speaker 1: don't do it. Before they might have said no, no,

1762
01:34:24,320 --> 01:34:26,360
Speaker 1: you don't want to do that, but now they're saying,

1763
01:34:26,400 --> 01:34:29,280
Speaker 1: go ahead, I'm not going to stop you. Maybe it

1764
01:34:29,360 --> 01:34:30,160
Speaker 1: might work. Right.

1765
01:34:30,200 --> 01:34:32,280
Speaker 5: And the key point behind what we're trying to present

1766
01:34:32,280 --> 01:34:36,040
Speaker 5: today is that that Thomas Sefree's work showed that when

1767
01:34:36,040 --> 01:34:38,520
Speaker 5: you put people on a keto diet or a glucos

1768
01:34:38,560 --> 01:34:41,320
Speaker 5: restriction diet, and at the same time, if you can

1769
01:34:41,400 --> 01:34:44,800
Speaker 5: do gludamin blockers or in my case, supplements, you will

1770
01:34:45,479 --> 01:34:49,440
Speaker 5: increase the duration of their life expectancy and quality.

1771
01:34:49,640 --> 01:34:51,719
Speaker 7: I mean, if you think about chemo, you've been through chemo,

1772
01:34:51,840 --> 01:34:52,559
Speaker 7: you don't feel.

1773
01:34:52,760 --> 01:34:55,200
Speaker 1: Chemo retuxin it was not a chemo agent, thank god.

1774
01:34:55,360 --> 01:34:57,360
Speaker 7: But when you go through chemo. I've watched my father.

1775
01:34:57,439 --> 01:35:00,720
Speaker 7: I mean, the guy lost tons of way. It's so

1776
01:35:01,000 --> 01:35:05,280
Speaker 7: horrible when he died. It's this horrible process, this approach.

1777
01:35:05,880 --> 01:35:08,200
Speaker 7: You feel better and better every day because all of

1778
01:35:08,200 --> 01:35:10,400
Speaker 7: your other problems are going away along with.

1779
01:35:10,280 --> 01:35:12,479
Speaker 1: The cancers, and you're not killing a good chunk of

1780
01:35:12,479 --> 01:35:14,559
Speaker 1: your body that you really want to stay alive with

1781
01:35:14,680 --> 01:35:15,840
Speaker 1: the chemos and.

1782
01:35:15,960 --> 01:35:19,200
Speaker 5: Thomas Sifred also show that radiation and chemotherapy increase the

1783
01:35:19,200 --> 01:35:22,320
Speaker 5: fuel sources for cancer aka glucose and gludamine.

1784
01:35:22,640 --> 01:35:25,479
Speaker 1: Oh wow, A right, one more bad thing associated with

1785
01:35:25,520 --> 01:35:28,280
Speaker 1: chemo seven forty seven. One more segment with the folks

1786
01:35:28,280 --> 01:35:31,800
Speaker 1: from Resort Wellness dot Org after I mentioned Simney Care fireplaces,

1787
01:35:31,840 --> 01:35:35,000
Speaker 1: So okay, boiled down, have your chick the talk station.

1788
01:35:36,439 --> 01:35:37,599
Speaker 6: Seven fifty one, come.

1789
01:35:37,560 --> 01:35:39,080
Speaker 1: Up at seven fifty two to fifty five ker CD

1790
01:35:39,240 --> 01:35:44,240
Speaker 1: talk station George Betaman, Keith Tennefeld in studio and really

1791
01:35:44,320 --> 01:35:47,839
Speaker 1: enjoy these since I think I feel him as inspirational honestly,

1792
01:35:47,880 --> 01:35:49,799
Speaker 1: because again I give you guys a lot of credit

1793
01:35:49,800 --> 01:35:52,840
Speaker 1: for me moving over to a much much healthier diet,

1794
01:35:52,920 --> 01:35:55,360
Speaker 1: and I honestly one hundred percent would not lie to

1795
01:35:55,400 --> 01:35:57,880
Speaker 1: any of my listening audience. I do feel a hell

1796
01:35:57,920 --> 01:35:59,840
Speaker 1: of a lot better. And again, going back to the numbers,

1797
01:35:59,880 --> 01:36:02,720
Speaker 1: I god for my dock yesterday, for my physical they

1798
01:36:02,760 --> 01:36:06,599
Speaker 1: look great. I mean a significant improvement over the by

1799
01:36:06,640 --> 01:36:09,360
Speaker 1: comparison over the years, So thank you guys. And again,

1800
01:36:09,400 --> 01:36:11,640
Speaker 1: the CT scan that I most recently got showed that

1801
01:36:11,720 --> 01:36:15,599
Speaker 1: removing sugar from my diet at least might have had

1802
01:36:15,600 --> 01:36:18,800
Speaker 1: the impact of making the lymphodes get smaller. I can't

1803
01:36:18,800 --> 01:36:20,479
Speaker 1: give it one hundred percent credit, but what you guys

1804
01:36:20,520 --> 01:36:24,160
Speaker 1: are telling me allows me to have greater confidence that

1805
01:36:24,200 --> 01:36:26,439
Speaker 1: the effort did have an impact on the cancer.

1806
01:36:26,600 --> 01:36:28,800
Speaker 7: And that's kind of the bottom line is. You know,

1807
01:36:28,960 --> 01:36:32,080
Speaker 7: when people are diagnosed with cancer, they feel the angel

1808
01:36:32,120 --> 01:36:34,920
Speaker 7: of deaths on them. Now that there's no hope for this,

1809
01:36:35,000 --> 01:36:37,000
Speaker 7: we're not going to be able to do anything. The

1810
01:36:37,000 --> 01:36:39,800
Speaker 7: bottom line is, no, that's not true anymore. There is

1811
01:36:39,840 --> 01:36:43,439
Speaker 7: something you can do. Actually it doesn't cost any money.

1812
01:36:43,960 --> 01:36:45,559
Speaker 7: It's it's changing your diet.

1813
01:36:45,640 --> 01:36:48,599
Speaker 1: Well, it might even exercise. There's no more mountain dew

1814
01:36:48,880 --> 01:36:51,840
Speaker 1: line item in your gross you're definitely not going to

1815
01:36:51,920 --> 01:36:54,760
Speaker 1: take everything that you wouldn't be buying if you are

1816
01:36:54,840 --> 01:36:57,360
Speaker 1: eliminating sugar, like I went so far as did not

1817
01:36:57,520 --> 01:36:59,760
Speaker 1: even eat barbecue sauce, Oh.

1818
01:36:59,680 --> 01:37:02,680
Speaker 7: Wow, because you know it's got Oh yeah yeah. Or

1819
01:37:02,720 --> 01:37:04,320
Speaker 7: you can look for the ones adult, which is what

1820
01:37:04,320 --> 01:37:04,600
Speaker 7: we use.

1821
01:37:04,720 --> 01:37:05,720
Speaker 1: Yeah, it don't taste much.

1822
01:37:06,000 --> 01:37:09,200
Speaker 7: But the key is, it's up to you. It really

1823
01:37:09,320 --> 01:37:12,080
Speaker 7: is up to you. If you are diagnosed with cancer

1824
01:37:12,160 --> 01:37:14,240
Speaker 7: or if you're just not feeling good, there you go.

1825
01:37:14,400 --> 01:37:17,240
Speaker 7: You can try these things. They don't cost anything. They

1826
01:37:17,280 --> 01:37:18,920
Speaker 7: take a ton of self discipline.

1827
01:37:19,040 --> 01:37:19,360
Speaker 6: I mean.

1828
01:37:19,840 --> 01:37:21,360
Speaker 7: One of the things that I liked that he talked

1829
01:37:21,360 --> 01:37:24,200
Speaker 7: about was the idea that he's going to create this app.

1830
01:37:24,120 --> 01:37:27,280
Speaker 1: Seafree is oh this doctor or the physician HD.

1831
01:37:27,960 --> 01:37:30,160
Speaker 7: So he's basically going to have a like a continuous

1832
01:37:30,200 --> 01:37:32,800
Speaker 7: glucose monitor. So you put this the sensor on your

1833
01:37:32,920 --> 01:37:35,439
Speaker 7: arm and the app tells you, hey, you can have

1834
01:37:35,479 --> 01:37:37,840
Speaker 7: that donut. But when you look at the app after

1835
01:37:37,880 --> 01:37:40,280
Speaker 7: you eat the doughnut, oh golly, my keytones went down,

1836
01:37:40,280 --> 01:37:42,960
Speaker 7: my glucose went up. It's now telling me my cancer

1837
01:37:43,000 --> 01:37:45,519
Speaker 7: is growing bright red. Oh are you gonna eat a

1838
01:37:45,520 --> 01:37:48,639
Speaker 7: second doughnut. Now no, But I mean it's.

1839
01:37:48,520 --> 01:37:51,439
Speaker 1: Like your parents standing in the room watch it's like, well, right,

1840
01:37:51,640 --> 01:37:55,400
Speaker 1: only one well and place.

1841
01:37:55,439 --> 01:37:58,599
Speaker 7: It's not a death sentence, and none of life shouldn't

1842
01:37:58,600 --> 01:38:00,320
Speaker 7: be a death sentence. I mean, yeah, we're all going

1843
01:38:00,360 --> 01:38:02,040
Speaker 7: to die at the end of it, but how do

1844
01:38:02,080 --> 01:38:03,320
Speaker 7: you want to live it? How do you want to

1845
01:38:03,360 --> 01:38:06,160
Speaker 7: feel when you're eighty. I always come back to my

1846
01:38:06,200 --> 01:38:07,680
Speaker 7: standard line is I want to be able to get

1847
01:38:07,760 --> 01:38:09,920
Speaker 7: up off the floor after playing with the grand kids, right,

1848
01:38:09,960 --> 01:38:11,920
Speaker 7: I mean, that's that's the bottom line.

1849
01:38:11,960 --> 01:38:15,839
Speaker 5: But I thought, I think the reason that we don't

1850
01:38:15,880 --> 01:38:19,719
Speaker 5: do these healthy options is because we lack maybe self worth,

1851
01:38:19,720 --> 01:38:22,519
Speaker 5: self identity, whatever it might be. And so if we

1852
01:38:22,520 --> 01:38:24,439
Speaker 5: can flip that and start doing self care, and we

1853
01:38:24,479 --> 01:38:26,639
Speaker 5: start really dialing in and saying, I need to care

1854
01:38:26,680 --> 01:38:30,840
Speaker 5: for myself in all the ways of my life diet, exercise, sleep, rest, relationships,

1855
01:38:31,200 --> 01:38:34,200
Speaker 5: and really spend time dialing in and feeling that connection

1856
01:38:34,360 --> 01:38:37,080
Speaker 5: with the why you're doing it, the reasons why you're

1857
01:38:37,120 --> 01:38:37,479
Speaker 5: doing it.

1858
01:38:37,680 --> 01:38:39,640
Speaker 1: Well, you know, it may be boiled down to the

1859
01:38:39,720 --> 01:38:43,519
Speaker 1: stuff just tastes so blank and good. I mean, diving

1860
01:38:43,560 --> 01:38:45,840
Speaker 1: into a bag of nacho cheese door itta is maybe

1861
01:38:45,880 --> 01:38:48,760
Speaker 1: the idea of I mean, someone's idea of heaven, and I.

1862
01:38:48,840 --> 01:38:50,200
Speaker 7: Love be engineered to do that.

1863
01:38:50,280 --> 01:38:52,880
Speaker 1: I love right right right, And see that's kind of

1864
01:38:52,880 --> 01:38:54,400
Speaker 1: how I've been able to stay the hell away from

1865
01:38:54,400 --> 01:38:56,639
Speaker 1: It's like they were designed to make you feel really

1866
01:38:56,680 --> 01:38:58,519
Speaker 1: elated when you eat them. This is why I can't.

1867
01:38:58,960 --> 01:39:00,800
Speaker 1: You have to eat a old bag the damn things when.

1868
01:39:00,680 --> 01:39:03,479
Speaker 7: You all make you feel elated and you're still hungry

1869
01:39:03,560 --> 01:39:04,519
Speaker 7: after you ate the whole bag.

1870
01:39:04,880 --> 01:39:07,320
Speaker 5: But see that if you know that that's stimulating dopamine

1871
01:39:07,320 --> 01:39:09,360
Speaker 5: to make you feel better, the question is why do

1872
01:39:09,439 --> 01:39:11,439
Speaker 5: you need to feel better that?

1873
01:39:11,680 --> 01:39:13,360
Speaker 6: I think if we get through the root of that.

1874
01:39:13,439 --> 01:39:18,720
Speaker 1: Oh oh, why why do people eat when they're depressed.

1875
01:39:18,520 --> 01:39:22,080
Speaker 5: Or drink alcohol or do drugs or all these other addictions. Yeah,

1876
01:39:22,280 --> 01:39:25,440
Speaker 5: so we get to the bottom of that you personally identifying,

1877
01:39:25,439 --> 01:39:28,040
Speaker 5: and I think it's I honestly believe if you really

1878
01:39:28,040 --> 01:39:30,240
Speaker 5: want to get groovy, is that there's a there's something

1879
01:39:30,360 --> 01:39:32,240
Speaker 5: missing on the inside and trying to fill it up

1880
01:39:32,240 --> 01:39:34,240
Speaker 5: with something else that makes them feel better. But once

1881
01:39:34,280 --> 01:39:37,040
Speaker 5: they start to love themselves and they start to just

1882
01:39:37,120 --> 01:39:39,479
Speaker 5: really have this great relationship, they don't need to be

1883
01:39:39,520 --> 01:39:42,160
Speaker 5: filled up with anything but themselves and then self care

1884
01:39:42,200 --> 01:39:43,520
Speaker 5: starts to perpetuate.

1885
01:39:44,120 --> 01:39:46,120
Speaker 1: George, Keith, I appreciate what you guys are doing. It's

1886
01:39:46,120 --> 01:39:50,519
Speaker 1: Restore Wellness dot Org. There's tips information the podcast. They're

1887
01:39:50,520 --> 01:39:52,759
Speaker 1: going to be doing the follow up podcasts, so follow

1888
01:39:52,800 --> 01:39:55,880
Speaker 1: George and Keith. And again Keith's with root Cause, which

1889
01:39:55,920 --> 01:39:58,599
Speaker 1: is the name of his business in Harrison, Restore Wellness

1890
01:39:58,600 --> 01:40:01,120
Speaker 1: dot Org. Keith, George, thank God for what you guys

1891
01:40:01,160 --> 01:40:03,559
Speaker 1: are doing. I appreciate your influence on my life and diet,

1892
01:40:03,600 --> 01:40:05,120
Speaker 1: and I know you're doing that for a lot of

1893
01:40:05,120 --> 01:40:06,680
Speaker 1: other people, and that's why I'm so pleased to be

1894
01:40:06,720 --> 01:40:08,519
Speaker 1: able to bring you in the morning show from time

1895
01:40:08,560 --> 01:40:10,479
Speaker 1: to time to keep people on the right track or

1896
01:40:10,479 --> 01:40:12,320
Speaker 1: maybe get them to try out going on the right track.

1897
01:40:12,360 --> 01:40:14,080
Speaker 6: Thank thanks for keep on having us out.

1898
01:40:14,200 --> 01:40:16,559
Speaker 1: Love it, man, absolutely love it. Learned something every week.

1899
01:40:16,840 --> 01:40:18,800
Speaker 3: Jack in for the latest. They want to make sure

1900
01:40:18,800 --> 01:40:19,599
Speaker 3: everything's perfect.

1901
01:40:19,720 --> 01:40:28,080
Speaker 1: Fifty five KRC the talk station. Heto six here. I

1902
01:40:28,080 --> 01:40:30,240
Speaker 1: think you about KRCD talk station and been looking forward

1903
01:40:30,240 --> 01:40:32,400
Speaker 1: to this conversation since I found out we have this

1904
01:40:33,320 --> 01:40:36,680
Speaker 1: Holocaust exhibit coming in or that is in town. All right,

1905
01:40:36,800 --> 01:40:39,400
Speaker 1: the since a museum Center at the Nancy and David

1906
01:40:39,439 --> 01:40:42,800
Speaker 1: Wolf Holocaust and Humanity Center, and I have Elizabeth Pierce,

1907
01:40:42,800 --> 01:40:44,640
Speaker 1: who happened to be the president and CEO of the

1908
01:40:44,720 --> 01:40:47,960
Speaker 1: museum Center, along with Jackie Conjado, the CEO of the

1909
01:40:48,040 --> 01:40:50,920
Speaker 1: Nancy and David Wolf Holocaust and Humanity Center, in studio

1910
01:40:51,400 --> 01:40:53,920
Speaker 1: to talk about not just the Humanity Center the Museum

1911
01:40:53,960 --> 01:40:56,960
Speaker 1: Center generally speaking, but about this new exhibit, which sounds

1912
01:40:57,000 --> 01:41:01,280
Speaker 1: to me like it it adds a slightly darker element

1913
01:41:01,479 --> 01:41:05,320
Speaker 1: to what I came away with, as I don't want

1914
01:41:05,320 --> 01:41:08,760
Speaker 1: to call it necessarily uplifting, but a positive experience. When

1915
01:41:08,800 --> 01:41:12,600
Speaker 1: I attended the Holocaust and Humanity Center's exhibit when it

1916
01:41:12,600 --> 01:41:20,360
Speaker 1: was in its prior location, I expected really to be sad, depressed, overwhelmed,

1917
01:41:20,400 --> 01:41:23,120
Speaker 1: because you know, anybody has any measure of familiarity with

1918
01:41:23,160 --> 01:41:24,880
Speaker 1: the Holocaust knows you're not going to go in there

1919
01:41:24,880 --> 01:41:27,200
Speaker 1: with a grin on your fhaser come out all smiling

1920
01:41:27,240 --> 01:41:32,000
Speaker 1: and whistling. But there was a sense of like hope

1921
01:41:32,120 --> 01:41:35,439
Speaker 1: and some measure of positivity, like the learning experience of

1922
01:41:35,479 --> 01:41:38,840
Speaker 1: all the death and awful and horrific events. And yet

1923
01:41:38,840 --> 01:41:41,360
Speaker 1: people came out the other side with these amazing stories

1924
01:41:41,360 --> 01:41:45,040
Speaker 1: of survival and optimism for the future. Welcome to the studio, ladies.

1925
01:41:45,080 --> 01:41:47,920
Speaker 1: It's so nice to have you in here. Thank you, Jackie.

1926
01:41:47,960 --> 01:41:50,200
Speaker 1: You and I've talked about this before, and that's why

1927
01:41:50,240 --> 01:41:52,960
Speaker 1: I asked you before the show started. Because this new

1928
01:41:53,000 --> 01:41:58,360
Speaker 1: exhibit features over five hundred original artifacts from Auschwitz, and

1929
01:41:58,600 --> 01:42:02,400
Speaker 1: that's where the whole question concept of maybe darker element

1930
01:42:02,479 --> 01:42:05,040
Speaker 1: comes in. Tell me how this comes across.

1931
01:42:04,880 --> 01:42:09,680
Speaker 4: It's an unprecedented presentation of sort of the facts of

1932
01:42:09,720 --> 01:42:14,920
Speaker 4: what happened in this place through artifact, through story, and

1933
01:42:15,000 --> 01:42:17,680
Speaker 4: the presentation at Museum Center is really unparalleled, I think

1934
01:42:17,680 --> 01:42:19,960
Speaker 4: from anywhere else it's been. This has traveled the world,

1935
01:42:20,040 --> 01:42:22,160
Speaker 4: and this is the last stop in the United States,

1936
01:42:22,200 --> 01:42:24,599
Speaker 4: the only stop in the Midwest, and it is an

1937
01:42:24,640 --> 01:42:30,679
Speaker 4: incredibly powerful, moving, emotional experience. And to your question about

1938
01:42:30,680 --> 01:42:32,880
Speaker 4: you know, how do you leave feeling like you got

1939
01:42:32,920 --> 01:42:36,719
Speaker 4: to go lay down or do you feel empowered? That's

1940
01:42:36,760 --> 01:42:39,000
Speaker 4: our job at the Holocaust and Humanity Center is to

1941
01:42:39,040 --> 01:42:41,839
Speaker 4: make sure that we integrate not only the local stories

1942
01:42:41,840 --> 01:42:44,200
Speaker 4: in the exhibition, which we've done so you get an

1943
01:42:44,320 --> 01:42:46,960
Speaker 4: understanding for the resilience, the rebuilding that happened in Cincinnati,

1944
01:42:47,000 --> 01:42:49,519
Speaker 4: the fact that these survivors, you know, of this horrific

1945
01:42:49,560 --> 01:42:52,519
Speaker 4: history came through the building where this exhibit now stands

1946
01:42:52,560 --> 01:42:55,960
Speaker 4: at Union Terminal. But also we have this whole upstander

1947
01:42:56,040 --> 01:42:59,439
Speaker 4: framework around agency and character strength, and the fact that

1948
01:42:59,479 --> 01:43:02,040
Speaker 4: at any given moment, we can make a choice to

1949
01:43:02,080 --> 01:43:04,040
Speaker 4: be the best of the worst of humanity, and that's

1950
01:43:04,120 --> 01:43:07,120
Speaker 4: our agency, that's our choice. So we wrap the whole

1951
01:43:07,120 --> 01:43:10,000
Speaker 4: thing in this idea that the best could still be

1952
01:43:10,040 --> 01:43:12,439
Speaker 4: ahead of us if we choose that. And here's how

1953
01:43:12,479 --> 01:43:13,719
Speaker 4: you can make that choice.

1954
01:43:13,760 --> 01:43:17,400
Speaker 1: So, and I understand your presentation at the Nancy and

1955
01:43:17,439 --> 01:43:21,560
Speaker 1: David wolf Wolf Holocaust and Humanity Center is comes across

1956
01:43:21,960 --> 01:43:26,160
Speaker 1: this display of these artifacts. Your presentation comes across differently

1957
01:43:26,200 --> 01:43:29,760
Speaker 1: than this display, and the presentation would come across if

1958
01:43:29,760 --> 01:43:32,080
Speaker 1: it was seen in New York City or someplace else

1959
01:43:32,080 --> 01:43:34,479
Speaker 1: around the world. You put the spin that you guys

1960
01:43:34,520 --> 01:43:38,960
Speaker 1: are famous for on this rather potentially disturbing exhibit. Yeah,

1961
01:43:39,000 --> 01:43:42,320
Speaker 1: and does it have elements of disturbing in it when

1962
01:43:42,320 --> 01:43:43,960
Speaker 1: you're looking at it? I mean, let's be frank here,

1963
01:43:44,000 --> 01:43:44,800
Speaker 1: what are we talking about?

1964
01:43:44,840 --> 01:43:44,880
Speaker 3: That?

1965
01:43:45,280 --> 01:43:48,479
Speaker 2: Absolutely? I mean, you know, the artifacts are large concrete

1966
01:43:48,520 --> 01:43:52,400
Speaker 2: posts with barbed wire. They are artifacts that are specific

1967
01:43:52,400 --> 01:43:55,960
Speaker 2: to human beings, hair brushes, a child's shoe. I mean,

1968
01:43:55,960 --> 01:43:59,439
Speaker 2: they are incredibly moving. That will take you to a

1969
01:43:59,479 --> 01:44:02,280
Speaker 2: place of like, how did this happen? And that's the

1970
01:44:02,360 --> 01:44:05,240
Speaker 2: question we want people to be framed with. And then

1971
01:44:05,360 --> 01:44:08,320
Speaker 2: what is the response I should have going forward? And

1972
01:44:08,360 --> 01:44:10,959
Speaker 2: how can I learn more? How can I get involved

1973
01:44:11,000 --> 01:44:14,599
Speaker 2: with the upstand or framework. So it is we say

1974
01:44:14,600 --> 01:44:18,000
Speaker 2: this a lot. It's where global history meets local history because,

1975
01:44:18,000 --> 01:44:22,240
Speaker 2: as Jackie said, the survivors of Auschwitz came to Cincinnati,

1976
01:44:22,240 --> 01:44:24,879
Speaker 2: they got off a train and walked through Union Terminal.

1977
01:44:25,200 --> 01:44:28,839
Speaker 2: So to have the Auschwitz exhibition and the survivor's story

1978
01:44:28,920 --> 01:44:32,599
Speaker 2: told in this place where the history happened is part

1979
01:44:32,640 --> 01:44:36,680
Speaker 2: of that resilience and courage message, and it's part you know,

1980
01:44:36,800 --> 01:44:40,439
Speaker 2: the title is Auschwitz, not long ago, not far away,

1981
01:44:41,000 --> 01:44:43,120
Speaker 2: and we are trying to make the point that this

1982
01:44:43,200 --> 01:44:46,439
Speaker 2: did not happen a thousand years ago on a planet

1983
01:44:46,479 --> 01:44:50,920
Speaker 2: far far away. It happened in our lifetimes and our grandparents' lifetimes,

1984
01:44:51,400 --> 01:44:53,519
Speaker 2: and it happened in a place that we all come

1985
01:44:53,560 --> 01:44:55,439
Speaker 2: and go all afternoon.

1986
01:44:55,400 --> 01:44:57,520
Speaker 4: And in our humanity and in our humanity.

1987
01:44:57,800 --> 01:44:59,640
Speaker 1: I'm so glad you made that point because I just

1988
01:44:59,680 --> 01:45:02,000
Speaker 1: turned sixty, you know, and there's sort of this milestone

1989
01:45:02,040 --> 01:45:05,519
Speaker 1: birth and you look back at you know, what happened

1990
01:45:05,600 --> 01:45:08,080
Speaker 1: between nineteen sixty five when I was born and now

1991
01:45:08,760 --> 01:45:12,439
Speaker 1: nineteen sixty five. That was only twenty years after we

1992
01:45:12,520 --> 01:45:15,680
Speaker 1: won the war. I mean, that's just twenty years. Is

1993
01:45:15,760 --> 01:45:17,400
Speaker 1: nothing I can look back think about twenty years ago.

1994
01:45:17,400 --> 01:45:20,479
Speaker 1: It's almot as if it happened yesterday. So context. As

1995
01:45:20,520 --> 01:45:22,839
Speaker 1: you get older, you get to experience this profound context.

1996
01:45:22,880 --> 01:45:25,000
Speaker 1: As a young person, think, oh my god, nineteen forty

1997
01:45:25,000 --> 01:45:27,559
Speaker 1: five or nineteen thirty eight or whatever that was wherever ago.

1998
01:45:27,760 --> 01:45:30,920
Speaker 1: That's never going to happen again. No, that's why you

1999
01:45:31,000 --> 01:45:34,040
Speaker 1: need to study the mistakes of the past. We still

2000
01:45:34,280 --> 01:45:38,559
Speaker 1: regularly study, and importantly so the horrors of slavery, for example.

2001
01:45:38,600 --> 01:45:40,200
Speaker 1: We're not going to forget that moment in time. We

2002
01:45:40,200 --> 01:45:42,799
Speaker 1: don't want it to happen again. I just don't understand

2003
01:45:42,880 --> 01:45:46,080
Speaker 1: people's reluctance in some cases, the backcrap, crazy folks who

2004
01:45:46,080 --> 01:45:48,720
Speaker 1: even deny that this even happened. Do you have to

2005
01:45:48,720 --> 01:45:50,280
Speaker 1: struggle with that in a regular basis?

2006
01:45:50,360 --> 01:45:52,600
Speaker 4: Well, I got to tell you, you come through this exhibition,

2007
01:45:53,479 --> 01:45:55,960
Speaker 4: there's no denying any of this history, I mean, it

2008
01:45:56,040 --> 01:45:59,360
Speaker 4: is so, it is so laid bare. And also to

2009
01:45:59,400 --> 01:46:01,640
Speaker 4: the folks who are deniers, I'm going to quote are

2010
01:46:01,720 --> 01:46:05,920
Speaker 4: incredible survivor Henry Finischel, who survived berg at Belsen, whose

2011
01:46:05,920 --> 01:46:09,559
Speaker 4: father was killed in Auschwitz. He often says his story

2012
01:46:09,600 --> 01:46:11,640
Speaker 4: was a lot like Anne Franks, except he survived and

2013
01:46:11,640 --> 01:46:16,240
Speaker 4: Anne perished. And he says to the deniers, I tell

2014
01:46:16,240 --> 01:46:19,160
Speaker 4: them your heroes. The Nazis would roll over in their

2015
01:46:19,200 --> 01:46:21,360
Speaker 4: graves if they heard you denying the Holocaust. They were

2016
01:46:21,400 --> 01:46:24,120
Speaker 4: so proud of what they were doing. They documented every step.

2017
01:46:24,560 --> 01:46:27,400
Speaker 4: In fact, many of the perpetrators were brought to justice

2018
01:46:27,439 --> 01:46:32,640
Speaker 4: on their own evidence. They didn't need any witnesses, any victims, survivors.

2019
01:46:33,400 --> 01:46:37,599
Speaker 4: They were planning to celebrate forever that they had rid

2020
01:46:37,640 --> 01:46:40,840
Speaker 4: the world of what they deemed to be right, the

2021
01:46:41,000 --> 01:46:44,880
Speaker 4: ultimate boogeyman, evil, the Jewish people. Of course, all you know,

2022
01:46:45,000 --> 01:46:51,960
Speaker 4: fake propaganda. But this people don't understand that this didn't

2023
01:46:51,960 --> 01:46:54,200
Speaker 4: happen because a group of evil people just popped up

2024
01:46:54,200 --> 01:46:56,120
Speaker 4: out of nowhere in the nineteen thirties in Germany. This

2025
01:46:56,200 --> 01:47:00,960
Speaker 4: happened because people like you and I, civilized, normal human

2026
01:47:01,000 --> 01:47:05,680
Speaker 4: beings going about their everyday lives. We're convinced to believe misinformation,

2027
01:47:06,040 --> 01:47:10,960
Speaker 4: bad information, you know, Libelist propaganda about who Jews were,

2028
01:47:11,400 --> 01:47:14,120
Speaker 4: allowed them to justify to themselves that they were doing

2029
01:47:14,120 --> 01:47:16,479
Speaker 4: the right thing, They were doing the right thought, they

2030
01:47:16,560 --> 01:47:20,000
Speaker 4: were doing the right thing. So this challenges us with

2031
01:47:20,160 --> 01:47:22,120
Speaker 4: like needing to look in the mirror. Are we doing

2032
01:47:22,160 --> 01:47:24,200
Speaker 4: the right thing? Are we doing the right thing? Are

2033
01:47:24,200 --> 01:47:26,439
Speaker 4: we believing the right information? Are we checking what we

2034
01:47:26,560 --> 01:47:29,519
Speaker 4: read and what we understand? Are we gut checking our

2035
01:47:29,560 --> 01:47:32,720
Speaker 4: own biases? Or are we just doing what we're told?

2036
01:47:32,840 --> 01:47:35,960
Speaker 1: Oh boy, you were right in my wheelhouse with comments

2037
01:47:36,040 --> 01:47:38,080
Speaker 1: like that because of the political divisions we have in

2038
01:47:38,120 --> 01:47:41,160
Speaker 1: this country and the screaming and the anger and the

2039
01:47:41,280 --> 01:47:44,479
Speaker 1: vitriol that goes from both sides of the political ledger.

2040
01:47:44,560 --> 01:47:48,240
Speaker 1: But you know, celebrating the attempted assassination or the outright

2041
01:47:48,280 --> 01:47:51,200
Speaker 1: assassination of someone and justifying and saying it was right,

2042
01:47:51,280 --> 01:47:56,360
Speaker 1: you know why, because that person's message was bad. I mean,

2043
01:47:56,640 --> 01:47:58,800
Speaker 1: you know, we have political dissent in this country depends

2044
01:47:58,840 --> 01:48:01,040
Speaker 1: on where you stand the political life, and we welcome

2045
01:48:01,120 --> 01:48:04,440
Speaker 1: and invite discourse. We have free speech, we have free exercise.

2046
01:48:04,760 --> 01:48:07,599
Speaker 1: The idea is the great exchange of ideas that maybe

2047
01:48:07,600 --> 01:48:09,599
Speaker 1: the truth will filter out. But you don't go around

2048
01:48:09,920 --> 01:48:13,080
Speaker 1: killing people or otherwise using someone else or that happen

2049
01:48:13,120 --> 01:48:16,240
Speaker 1: to be their race as a scapegoat for broader problems.

2050
01:48:16,520 --> 01:48:19,760
Speaker 1: It's an easy excuse. But it's like people I think

2051
01:48:19,880 --> 01:48:23,439
Speaker 1: want to offload their personal responsibility for any problems or

2052
01:48:23,479 --> 01:48:26,679
Speaker 1: want to find an easy answer to some societally screwed

2053
01:48:26,720 --> 01:48:29,920
Speaker 1: up problems like economics, whatever. Let's just blame the Jews,

2054
01:48:30,080 --> 01:48:32,120
Speaker 1: let's just blame the black people, let's just fill in

2055
01:48:32,120 --> 01:48:34,479
Speaker 1: the blank, let's blame that politician, or let's go after

2056
01:48:34,560 --> 01:48:37,280
Speaker 1: evil orange man. That's an easy message to people for

2057
01:48:37,320 --> 01:48:39,439
Speaker 1: people to consume. You mean, it's not my fault. You

2058
01:48:39,439 --> 01:48:41,400
Speaker 1: mean this is going to be an easy fix. Just killed.

2059
01:48:41,479 --> 01:48:42,960
Speaker 2: We don't have to be involved in this right now.

2060
01:48:43,000 --> 01:48:45,479
Speaker 2: Your point you're worried about agency is the important thing.

2061
01:48:45,520 --> 01:48:48,680
Speaker 2: And I think the survivor story, right the survivors are

2062
01:48:48,680 --> 01:48:51,400
Speaker 2: the ones who created the Holocaust and Humanity Center because

2063
01:48:51,400 --> 01:48:54,519
Speaker 2: they said, you're not going to deny this. We were there,

2064
01:48:54,680 --> 01:48:58,120
Speaker 2: it happened to us. Here's our testimony around this. And

2065
01:48:58,320 --> 01:49:01,120
Speaker 2: they went on to create lives in this community because

2066
01:49:01,120 --> 01:49:03,479
Speaker 2: they were resilient and courageous and they said no, not

2067
01:49:03,600 --> 01:49:04,120
Speaker 2: on my watch.

2068
01:49:04,439 --> 01:49:06,840
Speaker 1: That's a great way of some And that's the best

2069
01:49:06,880 --> 01:49:10,880
Speaker 1: explanation or response or retort that I have heard with

2070
01:49:10,920 --> 01:49:13,960
Speaker 1: regard to the deniers. No, no, no, they would be

2071
01:49:14,040 --> 01:49:16,639
Speaker 1: angry at you because you're saying it didn't exist. This

2072
01:49:16,680 --> 01:49:18,760
Speaker 1: is something they were proud of. I'd never heard it

2073
01:49:18,800 --> 01:49:21,120
Speaker 1: phrase that way. Yeah, that's a great retort.

2074
01:49:21,479 --> 01:49:23,640
Speaker 4: Yeah, I think that, And I think the exhibition in

2075
01:49:23,680 --> 01:49:26,120
Speaker 4: that way is a mirror. It really is. If you're

2076
01:49:26,160 --> 01:49:28,960
Speaker 4: coming there to say, I want to feel, I want

2077
01:49:28,960 --> 01:49:32,240
Speaker 4: to be more validated in my thinking about where the

2078
01:49:32,240 --> 01:49:35,160
Speaker 4: boogeyman is or those evil people over there are, those

2079
01:49:35,160 --> 01:49:38,200
Speaker 4: are the bad guys. This exhibition forces us to look

2080
01:49:38,200 --> 01:49:41,559
Speaker 4: in the mirror at our responsibility, each one of us,

2081
01:49:41,720 --> 01:49:43,320
Speaker 4: and what we have to do, because, as you said,

2082
01:49:43,360 --> 01:49:45,479
Speaker 4: the problems are not left or right. The problems are

2083
01:49:45,520 --> 01:49:50,480
Speaker 4: around extremism. Yeah, and how we can stand up for humanity,

2084
01:49:50,479 --> 01:49:51,400
Speaker 4: for shared humanity.

2085
01:49:51,720 --> 01:49:54,479
Speaker 1: The exhibit Auschwitz not Long Ago, not far away at

2086
01:49:54,479 --> 01:49:57,120
Speaker 1: the Sincean Museum Center, We're going to continue the conversation

2087
01:49:57,160 --> 01:50:01,080
Speaker 1: with Elizabeth tier Pierson, Jackie cunjeddo three forwards, Don't go away,

2088
01:50:01,920 --> 01:50:06,840
Speaker 1: fifty five the talk station at Duke Energy Box Station,

2089
01:50:09,680 --> 01:50:12,040
Speaker 1: a twenty fifty five per CD talk station. I am

2090
01:50:12,200 --> 01:50:15,439
Speaker 1: enjoying the on air and off air discussions with Elizabeth Peters,

2091
01:50:15,479 --> 01:50:18,599
Speaker 1: president's CEO of the Sinsame Museum Center Hall of Justice.

2092
01:50:18,640 --> 01:50:21,120
Speaker 1: For those of you who might might want to remember

2093
01:50:21,120 --> 01:50:22,839
Speaker 1: the architecture of the building. I was just telling Elizabeth,

2094
01:50:23,000 --> 01:50:26,280
Speaker 1: it's got to be such a joy, Like I get

2095
01:50:26,360 --> 01:50:29,280
Speaker 1: you out of bed feeling to get up and know

2096
01:50:29,400 --> 01:50:33,679
Speaker 1: that you're going to work inside the Cincinnati Museum Center.

2097
01:50:33,760 --> 01:50:35,280
Speaker 1: I mean, that's just got to be a cool experience.

2098
01:50:35,360 --> 01:50:37,880
Speaker 2: Well, it's the most beautiful building I know, and it's

2099
01:50:37,920 --> 01:50:40,720
Speaker 2: got all these layers of history and community connections and

2100
01:50:41,080 --> 01:50:43,920
Speaker 2: people's prom dates and weddings and the whispers of I

2101
01:50:44,040 --> 01:50:47,080
Speaker 2: Love you across the arches, and then the Superman movie

2102
01:50:47,280 --> 01:50:48,400
Speaker 2: and the Justice League.

2103
01:50:48,479 --> 01:50:51,200
Speaker 1: Yes, right, well, and you mentioned obviously we're talking about

2104
01:50:51,240 --> 01:50:53,880
Speaker 1: the Auschwitz, not long ago, not far away museum or

2105
01:50:54,240 --> 01:50:57,000
Speaker 1: exhibit temporary it is. We're going to details on how

2106
01:50:57,000 --> 01:50:58,280
Speaker 1: long it's going to be, the tickets and all that

2107
01:50:58,280 --> 01:51:01,439
Speaker 1: in a minute. Five hundred original artify from Auschwitz. Working

2108
01:51:01,560 --> 01:51:04,760
Speaker 1: with the Nancy and David with Holocaust in Humanity Center.

2109
01:51:04,880 --> 01:51:07,439
Speaker 1: Jackie Conjado CEO is in studio for that as well.

2110
01:51:09,520 --> 01:51:12,280
Speaker 1: But that they walked through the building, I was reminded

2111
01:51:12,360 --> 01:51:16,160
Speaker 1: of the survivors actually went through Union Terminal, the local ones.

2112
01:51:16,560 --> 01:51:18,840
Speaker 1: When I remember as a kid, my grandpa told me

2113
01:51:19,080 --> 01:51:25,280
Speaker 1: that World War Two, the either departing enlistees or the

2114
01:51:25,400 --> 01:51:28,640
Speaker 1: returning veterans, if they were traveling through Union Terminal or

2115
01:51:28,720 --> 01:51:32,639
Speaker 1: departing from a lot of them would take a nap. Well,

2116
01:51:32,760 --> 01:51:36,280
Speaker 1: they put a tag on their shirt, I need to

2117
01:51:36,360 --> 01:51:39,240
Speaker 1: catch the whatever number train. You know. He dressed in

2118
01:51:39,280 --> 01:51:41,720
Speaker 1: his service uniform and people would come over and say,

2119
01:51:41,720 --> 01:51:43,640
Speaker 1: it's getting time to get on your train. Wake them up.

2120
01:51:43,720 --> 01:51:45,439
Speaker 1: And I just thought it was kind of a neat thing.

2121
01:51:45,520 --> 01:51:48,680
Speaker 1: I can't image anybody being doing that these days, not

2122
01:51:48,760 --> 01:51:48,960
Speaker 1: what you.

2123
01:51:48,960 --> 01:51:50,560
Speaker 2: Would happen in the airport. But you know, there was

2124
01:51:50,640 --> 01:51:53,200
Speaker 2: the USO and it was staffed by women in the

2125
01:51:53,240 --> 01:51:56,000
Speaker 2: community who were Catholic, Christian and Jewish women who were

2126
01:51:56,080 --> 01:51:57,640
Speaker 2: coming to take care of these guys and give them

2127
01:51:57,720 --> 01:51:59,960
Speaker 2: cookies and tea and like, you know, do the way

2128
01:52:00,160 --> 01:52:03,800
Speaker 2: up call. So incredible history in this building just.

2129
01:52:04,000 --> 01:52:06,040
Speaker 1: Amazing, and I was so blessed to be in a

2130
01:52:06,080 --> 01:52:10,439
Speaker 1: position to actually go up and walk behind the iconic clock.

2131
01:52:11,240 --> 01:52:13,760
Speaker 1: That was cool. I have you to thank for that, Elizabeth.

2132
01:52:13,800 --> 01:52:15,080
Speaker 2: Anytime you want to come back, I know.

2133
01:52:15,600 --> 01:52:18,960
Speaker 1: And Jackie Jado from the Nancy David Woof Holocausting Humanity

2134
01:52:19,000 --> 01:52:21,759
Speaker 1: Center just told me that we should have a listener

2135
01:52:21,880 --> 01:52:24,599
Speaker 1: lunch because Elizabeth that we met reminded me that really

2136
01:52:24,680 --> 01:52:26,400
Speaker 1: early on we did have a listener launch at the

2137
01:52:26,479 --> 01:52:28,000
Speaker 1: museum center. I think that was the time I was

2138
01:52:28,040 --> 01:52:28,519
Speaker 1: able to do that.

2139
01:52:28,680 --> 01:52:28,880
Speaker 3: Yep.

2140
01:52:29,120 --> 01:52:30,960
Speaker 1: Yeah, but you would welcome a listener.

2141
01:52:30,800 --> 01:52:34,840
Speaker 4: Lunch at the at the Holocaust US Humanity Center and

2142
01:52:35,160 --> 01:52:38,160
Speaker 4: possibly for the exhibition's that's there now. I mean, the

2143
01:52:38,200 --> 01:52:41,360
Speaker 4: great thing about this experience is, you know, Aschwitz not

2144
01:52:41,400 --> 01:52:43,640
Speaker 4: long agoing out far away, this unprecedented look at this

2145
01:52:43,840 --> 01:52:46,080
Speaker 4: place and space and time and the artifacts that come

2146
01:52:46,160 --> 01:52:47,680
Speaker 4: with it. This will be with us for the next

2147
01:52:47,720 --> 01:52:49,759
Speaker 4: six months, so we have this opportunity as a community

2148
01:52:49,840 --> 01:52:52,280
Speaker 4: to really learn from the depths of this history, and

2149
01:52:52,360 --> 01:52:55,640
Speaker 4: then we the Holocaust and Humanity Center will continue to

2150
01:52:55,680 --> 01:52:58,720
Speaker 4: be there as a resource into perpetuity. So you know,

2151
01:52:58,840 --> 01:53:02,479
Speaker 4: we we welcome you back. You know, we'd like for

2152
01:53:02,560 --> 01:53:04,880
Speaker 4: people to come and see the exhibition, spend your time

2153
01:53:04,920 --> 01:53:07,720
Speaker 4: in the exhibition, the Auschwitz Exhibition, and then you get

2154
01:53:07,760 --> 01:53:10,719
Speaker 4: a discounted ticket with your purchase of the Auschwitz Exhibition

2155
01:53:10,800 --> 01:53:13,160
Speaker 4: ticket to come to HHC and you can come back

2156
01:53:13,160 --> 01:53:13,840
Speaker 4: within six months.

2157
01:53:13,840 --> 01:53:16,479
Speaker 1: You can come back because there's so much to consume.

2158
01:53:16,520 --> 01:53:18,439
Speaker 4: There's a lot to consume. It's a lot to consume

2159
01:53:18,479 --> 01:53:20,920
Speaker 4: in one day, and so you'll probably want to come back.

2160
01:53:21,080 --> 01:53:23,560
Speaker 4: But there's more, there's there's all these layers of what

2161
01:53:23,680 --> 01:53:27,080
Speaker 4: you can sort of learn by experiencing both places, like

2162
01:53:27,120 --> 01:53:29,280
Speaker 4: we were talking about the upstand or framework, but also

2163
01:53:29,320 --> 01:53:32,519
Speaker 4: the local survivor stories and you know this amazing exhibit

2164
01:53:32,560 --> 01:53:34,920
Speaker 4: that you and I were talking about off air where

2165
01:53:34,920 --> 01:53:37,400
Speaker 4: you can actually interact with a survivor in real time

2166
01:53:37,560 --> 01:53:38,160
Speaker 4: ask questions.

2167
01:53:38,240 --> 01:53:40,599
Speaker 1: Well, I'm going to let you elaborate in that component

2168
01:53:40,640 --> 01:53:42,800
Speaker 1: of it. And when we come back from this break,

2169
01:53:42,920 --> 01:53:45,080
Speaker 1: but or from this upcoming break is a couple minutes away.

2170
01:53:45,120 --> 01:53:47,800
Speaker 1: But as to the exhibit, it is it the It

2171
01:53:47,880 --> 01:53:50,160
Speaker 1: is at the Sinsame Museum Center until.

2172
01:53:50,439 --> 01:53:53,920
Speaker 2: April twelfth for twelve Now we might just tell people

2173
01:53:54,080 --> 01:53:56,080
Speaker 2: like the end of March, because people need to have

2174
01:53:56,160 --> 01:53:57,960
Speaker 2: a deadline and they always blow through it.

2175
01:53:58,080 --> 01:54:00,600
Speaker 1: So and if they come early it's it's since you

2176
01:54:00,640 --> 01:54:04,000
Speaker 1: with why museumcenter dot org. Can you get the tickets

2177
01:54:04,080 --> 01:54:06,599
Speaker 1: there for the museum Center from the museum center's website.

2178
01:54:06,680 --> 01:54:08,759
Speaker 2: All of it is available right there on the ticketing

2179
01:54:08,800 --> 01:54:10,160
Speaker 2: page of the museum Center's website.

2180
01:54:10,200 --> 01:54:13,880
Speaker 1: All right, because the Nancy and David Wolf Holocaust Humanity

2181
01:54:13,920 --> 01:54:15,120
Speaker 1: Center has a separate website.

2182
01:54:15,360 --> 01:54:18,240
Speaker 4: Yes, but when you buy your ticket for Auschwitz for

2183
01:54:18,320 --> 01:54:22,720
Speaker 4: the Exhibition on CMC's website there it will prompt you

2184
01:54:22,760 --> 01:54:25,320
Speaker 4: if you want to add on admission to the Holocaust

2185
01:54:25,360 --> 01:54:27,080
Speaker 4: in Humanity Center. So it's all on one point.

2186
01:54:27,080 --> 01:54:28,960
Speaker 2: Both the websites are pointing to the same thing.

2187
01:54:29,160 --> 01:54:30,519
Speaker 6: Wonderful, you've made it easy for it.

2188
01:54:30,960 --> 01:54:31,120
Speaker 2: Right.

2189
01:54:31,800 --> 01:54:33,800
Speaker 1: As long as you got meat covered, we're in great shape.

2190
01:54:33,960 --> 01:54:37,000
Speaker 1: So through April twelfth, get a ticket in advance, clearly,

2191
01:54:37,480 --> 01:54:41,000
Speaker 1: or tickets in advance. And again to emphasize the separate

2192
01:54:41,040 --> 01:54:44,400
Speaker 1: ticket for the for the Humanity Center is a window

2193
01:54:44,520 --> 01:54:46,560
Speaker 1: of six months perfect.

2194
01:54:46,440 --> 01:54:49,120
Speaker 2: Yep, all right and uh and Brian, it's you know,

2195
01:54:49,200 --> 01:54:52,200
Speaker 2: with Veterans Day coming up, we have veterans discounts for

2196
01:54:52,240 --> 01:54:57,520
Speaker 2: the Auschwitz exhibition, so three dollars off and general admission

2197
01:54:57,680 --> 01:55:00,520
Speaker 2: for museum Center is free for veterans from the ninth

2198
01:55:00,600 --> 01:55:05,040
Speaker 2: to the thirteenth next week, So more details on our website.

2199
01:55:05,320 --> 01:55:07,680
Speaker 1: All on the website which is again since you with

2200
01:55:07,720 --> 01:55:11,680
Speaker 1: the y Museum dot org. Will continue with Elizabeth Pearce

2201
01:55:11,760 --> 01:55:14,080
Speaker 1: and Jackie Kanjato because we're going to talk a little

2202
01:55:14,080 --> 01:55:15,960
Speaker 1: bit about what they got going at the Holocaust in

2203
01:55:16,040 --> 01:55:21,600
Speaker 1: Humanity Center with this artificial intelligence. It is really really wild.

2204
01:55:21,720 --> 01:55:23,640
Speaker 1: Eight twenty five right now, don't go away, be right back.

2205
01:55:23,880 --> 01:55:26,080
Speaker 7: This is SIRC the talk station.

2206
01:55:34,720 --> 01:55:37,440
Speaker 1: Twenty nine fifty five KCD talk station, thoroughly enjoying these

2207
01:55:37,480 --> 01:55:40,400
Speaker 1: conversations on and off air. Elizabeth Piers, she's the President's

2208
01:55:40,400 --> 01:55:43,240
Speaker 1: CE of the Sinsame Museum Center in studio with Jackie

2209
01:55:43,280 --> 01:55:46,120
Speaker 1: Kanjato from the Nancy and David of Holocausting Humanity Center.

2210
01:55:46,400 --> 01:55:48,760
Speaker 1: The temporary exhibit, which you really need to go to,

2211
01:55:49,080 --> 01:55:52,080
Speaker 1: is called Auschwitz Not Long Ago, Not Far Away, featuring

2212
01:55:52,120 --> 01:55:56,720
Speaker 1: over five hundred original artifacts from Auschwitz. They have tied

2213
01:55:56,960 --> 01:56:00,440
Speaker 1: and connected the exhibit to the city of Cincinnati, especially

2214
01:56:00,520 --> 01:56:03,760
Speaker 1: tailored by the folks from the Holocausting Humanity Center, so

2215
01:56:03,880 --> 01:56:07,040
Speaker 1: you get that Holocaust in Humanity Center feel. In spite

2216
01:56:07,080 --> 01:56:09,720
Speaker 1: of the what I will just characterize the slightly more

2217
01:56:09,800 --> 01:56:13,280
Speaker 1: bleak reality of some of these artifacts. And before we

2218
01:56:13,360 --> 01:56:17,160
Speaker 1: get to the artificial intelligence amazingness that you have at

2219
01:56:17,200 --> 01:56:21,680
Speaker 1: the Holocausting Humanity Center, Jackie, I asked you both, and

2220
01:56:21,800 --> 01:56:24,400
Speaker 1: you both came up with the same answer. Of these

2221
01:56:24,640 --> 01:56:28,560
Speaker 1: five hundred items from Auschwitz that you looked at, I said,

2222
01:56:29,240 --> 01:56:32,840
Speaker 1: which one, if any, had the most profound influence or

2223
01:56:32,960 --> 01:56:36,080
Speaker 1: your reaction was greatest about it? And you both identified

2224
01:56:36,120 --> 01:56:38,000
Speaker 1: one item. Let my listeners know what that one item

2225
01:56:38,080 --> 01:56:39,200
Speaker 1: is among these five hundred.

2226
01:56:39,680 --> 01:56:42,280
Speaker 4: So it's a suitcase, and it is not just any suitcase.

2227
01:56:42,280 --> 01:56:44,960
Speaker 4: It is the suitcase that Werner Copple, who was a

2228
01:56:45,000 --> 01:56:47,640
Speaker 4: survivor of Auschwitz, who became a Cincinnati and who came

2229
01:56:47,760 --> 01:56:50,800
Speaker 4: through Union Terminal, who was the first survivor in Cincinnati

2230
01:56:51,160 --> 01:56:53,280
Speaker 4: to speak up and share his story. So we paved

2231
01:56:53,320 --> 01:56:56,800
Speaker 4: the way for essentially our organization and our work. Werner

2232
01:56:56,880 --> 01:56:59,400
Speaker 4: Copple was sort of famous for saying, I arrived at

2233
01:56:59,520 --> 01:57:02,280
Speaker 4: Union Terminal with a wife a baby in a suitcase,

2234
01:57:02,600 --> 01:57:04,680
Speaker 4: and that ended the first part of my life. And

2235
01:57:04,960 --> 01:57:07,920
Speaker 4: so that is the suitcase that's on display back where

2236
01:57:08,160 --> 01:57:11,360
Speaker 4: sort of that story pivoted in the same space where

2237
01:57:11,400 --> 01:57:14,400
Speaker 4: that story pivoted, and we were so grateful to have

2238
01:57:14,600 --> 01:57:17,640
Speaker 4: his son Steve with us to install the artifacts. Steve's

2239
01:57:17,640 --> 01:57:20,560
Speaker 4: a board memories. He's just one of our family. And

2240
01:57:20,800 --> 01:57:23,080
Speaker 4: when you come to see the exhibition, the very first

2241
01:57:23,160 --> 01:57:25,800
Speaker 4: words you'll hear in the audio tour which guides you through,

2242
01:57:26,120 --> 01:57:28,680
Speaker 4: are Werner Copple's words, I arrived in this building with

2243
01:57:28,760 --> 01:57:30,480
Speaker 4: a wife, a baby in a suitcase. So right away,

2244
01:57:31,000 --> 01:57:33,880
Speaker 4: not far away, not far away. This happened right here,

2245
01:57:34,000 --> 01:57:34,760
Speaker 4: right in our city.

2246
01:57:35,520 --> 01:57:38,760
Speaker 1: Rather emotional experience, I might imagine, Yeah, it's inact how

2247
01:57:38,920 --> 01:57:41,040
Speaker 1: he was when he came through first year.

2248
01:57:41,040 --> 01:57:43,520
Speaker 4: You're gonna catch me in a moment where I don't

2249
01:57:43,600 --> 01:57:44,920
Speaker 4: know exactly.

2250
01:57:46,560 --> 01:57:47,280
Speaker 3: I think he was.

2251
01:57:47,480 --> 01:57:49,840
Speaker 4: He was, you know, mid aged, he had you know,

2252
01:57:50,000 --> 01:57:52,800
Speaker 4: he had one child, Steve the second hit. Their second

2253
01:57:52,840 --> 01:57:55,320
Speaker 4: son was born after they came to Cincinnati, but their

2254
01:57:55,400 --> 01:57:57,320
Speaker 4: older son, Ron was a baby at the time, and

2255
01:57:57,400 --> 01:57:59,160
Speaker 4: so you know, he was a he was a man.

2256
01:57:59,080 --> 01:58:00,800
Speaker 2: Who was just mid twenties.

2257
01:58:01,240 --> 01:58:03,120
Speaker 4: Just trying to the reason why I said.

2258
01:58:02,960 --> 01:58:04,760
Speaker 6: He didn't live instance any prior to that.

2259
01:58:04,920 --> 01:58:07,839
Speaker 1: It wasn't like, no, he was in Germany, in Poland.

2260
01:58:08,000 --> 01:58:10,120
Speaker 1: I want to make that clear, because you had talked

2261
01:58:10,160 --> 01:58:13,160
Speaker 1: about we were talking about the beauty of the building,

2262
01:58:13,200 --> 01:58:15,400
Speaker 1: and can you imagine the first time you ever see it,

2263
01:58:15,520 --> 01:58:17,480
Speaker 1: like anybody, even from locally, if you've never seen the

2264
01:58:17,520 --> 01:58:19,200
Speaker 1: damn building, get in there and take a look at it.

2265
01:58:19,280 --> 01:58:22,280
Speaker 1: It's awe inspiring. You had a guy who was locked

2266
01:58:22,320 --> 01:58:24,960
Speaker 1: up in a concentration camp, probably half starved to death.

2267
01:58:25,040 --> 01:58:28,440
Speaker 1: Survive death, survive the death march right, survived the horrific

2268
01:58:28,520 --> 01:58:32,640
Speaker 1: conditions that preceded going into the camp. Probably lived in

2269
01:58:32,720 --> 01:58:35,000
Speaker 1: a slum forced there by the Nazis. I don't know

2270
01:58:35,160 --> 01:58:37,640
Speaker 1: this man's personal history, but go all the way back

2271
01:58:37,680 --> 01:58:40,160
Speaker 1: to the World War One and post World War One,

2272
01:58:40,560 --> 01:58:43,400
Speaker 1: the conditions were pretty damn bleak to begin with, regardless

2273
01:58:43,400 --> 01:58:46,760
Speaker 1: of where you were. So going from that and I

2274
01:58:46,880 --> 01:58:53,280
Speaker 1: just see like this, this sort of vision of uh gray,

2275
01:58:53,640 --> 01:58:56,480
Speaker 1: you know, the everything's gray. You're looking over the landscape

2276
01:58:56,560 --> 01:59:01,760
Speaker 1: like former Soviet Union mental visions of gray, bleak, dark, terrible,

2277
01:59:01,880 --> 01:59:05,600
Speaker 1: torn up, blown up. To make this journey after living

2278
01:59:05,640 --> 01:59:07,720
Speaker 1: through all of that, and to walk through that room

2279
01:59:07,920 --> 01:59:11,840
Speaker 1: and just see that the gold and the murals, and man,

2280
01:59:11,880 --> 01:59:13,680
Speaker 1: you got to think you arrived at paradise.

2281
01:59:14,200 --> 01:59:17,240
Speaker 4: Yeah, and all admiring for the future. Yeah, and many

2282
01:59:17,280 --> 01:59:19,280
Speaker 4: of our survivors reflect on the fact that you know,

2283
01:59:19,920 --> 01:59:23,160
Speaker 4: they obviously there were the moments of liberation and you know,

2284
01:59:23,360 --> 01:59:27,240
Speaker 4: displacement afterwards, but really feeling like the first time they

2285
01:59:27,280 --> 01:59:29,640
Speaker 4: could feel like they had found a place where they

2286
01:59:29,640 --> 01:59:33,600
Speaker 4: could be they could begin again, was arriving in that

2287
01:59:33,720 --> 01:59:37,520
Speaker 4: building at Union Terminal, you know, and and having the

2288
01:59:37,600 --> 01:59:41,360
Speaker 4: opportunity to think again about life. I mean, that's it's

2289
01:59:41,520 --> 01:59:45,360
Speaker 4: just And this suitcase, this was everything he owned. This

2290
01:59:45,560 --> 01:59:46,520
Speaker 4: was everything he owned.

2291
01:59:46,560 --> 01:59:47,879
Speaker 1: It's not a very big suitcase.

2292
01:59:48,160 --> 01:59:50,800
Speaker 4: No, No, it's like less than I would pack for

2293
01:59:50,880 --> 01:59:54,240
Speaker 4: a weekend in New York. Yeah, but it's it's and

2294
01:59:54,560 --> 01:59:56,680
Speaker 4: they were lucky to have anything. So many of these

2295
01:59:56,720 --> 01:59:59,400
Speaker 4: survivors had nothing. They had and their family was gone.

2296
01:59:59,440 --> 02:00:01,840
Speaker 4: They had no no home, no business, no way to

2297
02:00:02,160 --> 02:00:04,320
Speaker 4: I mean, no language skills to you know, in terms

2298
02:00:04,360 --> 02:00:07,080
Speaker 4: of English coming here, like these people built a life.

2299
02:00:07,400 --> 02:00:10,200
Speaker 1: How did they survive as a nuclear family? Amid all that?

2300
02:00:10,480 --> 02:00:13,160
Speaker 1: Did they the husband, wife, and child were all able

2301
02:00:13,240 --> 02:00:14,280
Speaker 1: to come together?

2302
02:00:14,640 --> 02:00:17,840
Speaker 4: So in Werner's story. In the case of Werner, he

2303
02:00:17,960 --> 02:00:22,960
Speaker 4: survived Alschwitz and the Death March before he met his wife.

2304
02:00:23,400 --> 02:00:25,840
Speaker 4: His wife was a nurse who nursed him back to

2305
02:00:25,960 --> 02:00:30,760
Speaker 4: health after the war, and they had they had ron

2306
02:00:31,000 --> 02:00:35,320
Speaker 4: their son and then came here. So, you know, he

2307
02:00:36,760 --> 02:00:39,560
Speaker 4: and Steve. You know Steve, if you ask him, like

2308
02:00:40,000 --> 02:00:42,280
Speaker 4: how did he survive this, he'll he'll give you kind

2309
02:00:42,320 --> 02:00:45,880
Speaker 4: of a combination of like, you know, how did anyone survive?

2310
02:00:46,000 --> 02:00:48,640
Speaker 4: Some people survive, some people didn't. But also Werner had

2311
02:00:48,720 --> 02:00:52,040
Speaker 4: this determination, he had this drive, he had this persistence,

2312
02:00:52,080 --> 02:00:55,320
Speaker 4: he had this ability to say, all right, now we rebuild.

2313
02:00:55,520 --> 02:00:57,840
Speaker 4: Now we rebuilt. That's just that's just the task in

2314
02:00:57,880 --> 02:00:58,320
Speaker 4: front of us.

2315
02:00:58,720 --> 02:01:01,560
Speaker 1: After all that in in the face of all those challenges,

2316
02:01:01,640 --> 02:01:04,600
Speaker 1: the man remained optimistic that he could make something of

2317
02:01:04,720 --> 02:01:07,240
Speaker 1: his life, went on and did so. And I think

2318
02:01:07,280 --> 02:01:09,800
Speaker 1: about that. I'm in all the way and crying, you know,

2319
02:01:09,960 --> 02:01:12,880
Speaker 1: like my life's so miserable. I live in a terrible country.

2320
02:01:13,680 --> 02:01:17,840
Speaker 1: Come on, are you kidding me? A thirty five fifty

2321
02:01:17,880 --> 02:01:19,680
Speaker 1: five cares of thetalk station we give to the artificial

2322
02:01:19,720 --> 02:01:21,720
Speaker 1: is he part of the artificial intelligence.

2323
02:01:21,640 --> 02:01:27,360
Speaker 4: With Unfortunately Werner passed away before we had implemented this technology,

2324
02:01:27,480 --> 02:01:28,879
Speaker 4: but we do have two local survivors.

2325
02:01:28,960 --> 02:01:30,880
Speaker 1: Now you can talk to and we're gonna talk about

2326
02:01:31,040 --> 02:01:33,240
Speaker 1: how you talk with a couple of local survivors. This

2327
02:01:33,400 --> 02:01:35,480
Speaker 1: is just amazing. Eight thirty five fifty five KR see

2328
02:01:35,560 --> 02:01:39,000
Speaker 1: de talk station, Don't go wait fifty five KRC dot com.

2329
02:01:39,440 --> 02:01:40,520
Speaker 1: Can you helmets?

2330
02:01:41,040 --> 02:01:42,280
Speaker 4: The talk station.

2331
02:01:45,160 --> 02:01:47,400
Speaker 1: A thirty nine fifty five car CD talk station. Brian

2332
02:01:47,480 --> 02:01:49,960
Speaker 1: Thomas with Elizabeth Pierce, President and CEO of the Sincame

2333
02:01:50,040 --> 02:01:52,840
Speaker 1: Museum Center, along with Jackie Kinjaco, the CEO of the

2334
02:01:52,920 --> 02:01:55,959
Speaker 1: Nancy and David Wolf Holocaust in Humanity Center, focusing primarily

2335
02:01:56,040 --> 02:01:59,200
Speaker 1: this hour on the exhibit that's being displayed there until

2336
02:01:59,280 --> 02:02:02,720
Speaker 1: April twelve. Health get your tickets. Auschwitz not long Ago,

2337
02:02:02,920 --> 02:02:07,240
Speaker 1: not far away again. Five hundred original artifacts from Auschwitz

2338
02:02:07,320 --> 02:02:11,000
Speaker 1: and it's the biggest collection of these artifacts outside of Europe.

2339
02:02:11,280 --> 02:02:15,080
Speaker 1: And this is kind of a traveling event or traveling

2340
02:02:15,160 --> 02:02:17,680
Speaker 1: exhibit that's going around the world. Happens to be here

2341
02:02:17,760 --> 02:02:19,440
Speaker 1: for several months, and we're blessed to have it here.

2342
02:02:19,480 --> 02:02:22,000
Speaker 1: And of course with the Center for Holocaust or Holocaust

2343
02:02:22,040 --> 02:02:25,960
Speaker 1: or Humanity Center putting its spin on it, it's got

2344
02:02:26,120 --> 02:02:28,400
Speaker 1: a different flavor to it then if you saw it

2345
02:02:28,480 --> 02:02:31,080
Speaker 1: someplace else, and a positive spin they try to put

2346
02:02:31,120 --> 02:02:34,640
Speaker 1: on it. But let us get ourselves grounded. Have we've

2347
02:02:34,640 --> 02:02:36,600
Speaker 1: got Thanksgiving coming up. We have a lot to be thankful.

2348
02:02:36,680 --> 02:02:39,440
Speaker 1: Alluding back a little bit to the screaming and yelling,

2349
02:02:39,520 --> 02:02:41,120
Speaker 1: I just engaged in it over the moment, because we

2350
02:02:41,240 --> 02:02:43,760
Speaker 1: complain here in America over the most minute things. We

2351
02:02:43,840 --> 02:02:46,560
Speaker 1: get ourselves all in sense. We love the criticize about

2352
02:02:46,560 --> 02:02:49,280
Speaker 1: how terrible things are and how unjust things are. And

2353
02:02:49,520 --> 02:02:52,280
Speaker 1: then you look at what happened world War two, the

2354
02:02:52,360 --> 02:02:55,560
Speaker 1: treatment of the Jews, the concentration camps, everything that these

2355
02:02:55,600 --> 02:02:58,040
Speaker 1: folks live through, and everything they had to deal with

2356
02:02:58,200 --> 02:03:01,640
Speaker 1: coming out the other side through Union terminal to further

2357
02:03:01,800 --> 02:03:05,200
Speaker 1: new life if they were lucky enough to survive the Holocaust,

2358
02:03:06,280 --> 02:03:09,040
Speaker 1: and having a positive spin on it, looking at life

2359
02:03:09,080 --> 02:03:12,320
Speaker 1: from a fresh perspective, and being positive and optimistic about

2360
02:03:12,360 --> 02:03:16,800
Speaker 1: the future. So go to the exhibit, Yes, see what

2361
02:03:16,880 --> 02:03:18,840
Speaker 1: it was like, and then decide whether or not you

2362
02:03:18,880 --> 02:03:20,360
Speaker 1: think you have something to complain about.

2363
02:03:21,920 --> 02:03:23,520
Speaker 2: Yes, have some family conversations.

2364
02:03:24,600 --> 02:03:27,600
Speaker 4: There is nothing like a visit to this exhibition or

2365
02:03:27,680 --> 02:03:29,880
Speaker 4: to the Holocaust in Humanity Center to inspire that kind

2366
02:03:29,920 --> 02:03:32,600
Speaker 4: of gratitude and perspective. We have one artifact in the

2367
02:03:32,680 --> 02:03:36,360
Speaker 4: center that is a uniform worn by a survivor. Leo

2368
02:03:36,400 --> 02:03:40,200
Speaker 4: Willick and it is pretty pretty well preserved. It's because

2369
02:03:40,280 --> 02:03:44,840
Speaker 4: after he survived Auschwitz, he had it pressed and cleaned,

2370
02:03:44,840 --> 02:03:45,880
Speaker 4: and he would put it. He put it in a

2371
02:03:45,920 --> 02:03:47,480
Speaker 4: box on the top of his closet, and he would

2372
02:03:47,520 --> 02:03:49,280
Speaker 4: put it on when he was having a bad day

2373
02:03:49,400 --> 02:03:52,160
Speaker 4: and look in the mirror and remind himself that his

2374
02:03:52,240 --> 02:03:54,720
Speaker 4: worst days were behind him. So, you know, if these

2375
02:03:54,760 --> 02:04:00,360
Speaker 4: people who survived the absolute worst of human the worst

2376
02:04:00,360 --> 02:04:02,160
Speaker 4: things human beings can do to each other, can come

2377
02:04:02,200 --> 02:04:04,840
Speaker 4: out of that and not just right off humanity forever,

2378
02:04:05,000 --> 02:04:08,520
Speaker 4: and actually, to the contrary, build an organization that believes

2379
02:04:08,560 --> 02:04:11,920
Speaker 4: in the possibility for us to do better, that educates like,

2380
02:04:12,040 --> 02:04:15,000
Speaker 4: what's our excuse? Why are we not hopeful? Why are

2381
02:04:15,040 --> 02:04:17,320
Speaker 4: we not feeling like we have any agency or power?

2382
02:04:17,480 --> 02:04:20,120
Speaker 4: I mean, I think that's the most inspiring thing you

2383
02:04:20,200 --> 02:04:20,800
Speaker 4: can imagine.

2384
02:04:21,200 --> 02:04:24,080
Speaker 1: Bless you well, And that again does a beautiful job

2385
02:04:24,080 --> 02:04:25,760
Speaker 1: summon up in the experience I had when I saw

2386
02:04:25,840 --> 02:04:28,720
Speaker 1: the Center, because that's how I felt when it came out. Yeah,

2387
02:04:29,200 --> 02:04:32,640
Speaker 1: you feel better for having seen it right and knowing

2388
02:04:32,640 --> 02:04:35,880
Speaker 1: these people's experiences, which takes me over to something I've

2389
02:04:35,880 --> 02:04:39,080
Speaker 1: been alluding to all morning, this artificial intelligence experience. You

2390
02:04:39,160 --> 02:04:41,560
Speaker 1: can have at the Nancy and David Wolf Holocaust and

2391
02:04:41,640 --> 02:04:45,000
Speaker 1: Humanity Center. You got this, I mean, this is this

2392
02:04:45,160 --> 02:04:47,200
Speaker 1: is truly amazing. Just give me an example what my

2393
02:04:47,280 --> 02:04:47,800
Speaker 1: listeners can do.

2394
02:04:48,000 --> 02:04:51,320
Speaker 4: Yeah, So you can come to HHC anytime.

2395
02:04:51,440 --> 02:04:51,880
Speaker 6: We'll be there.

2396
02:04:52,040 --> 02:04:55,120
Speaker 4: You know, this special exhibition is there through through April.

2397
02:04:54,880 --> 02:04:55,840
Speaker 6: But we'll be there.

2398
02:04:56,160 --> 02:04:57,640
Speaker 4: We will be there, we will be there. So come

2399
02:04:57,720 --> 02:05:00,840
Speaker 4: down and visit, and you can come have a conversation

2400
02:05:00,960 --> 02:05:02,880
Speaker 4: in real time with a survivor. You can ask any

2401
02:05:02,920 --> 02:05:05,160
Speaker 4: question and get an answer. And basically you stand in

2402
02:05:05,200 --> 02:05:08,440
Speaker 4: front of a life size video monitor like a screen,

2403
02:05:08,560 --> 02:05:12,240
Speaker 4: a television screen, recording of a survivor. And we actually

2404
02:05:12,280 --> 02:05:15,000
Speaker 4: have two local survivors whose testimony we've recorded in this

2405
02:05:15,120 --> 02:05:19,160
Speaker 4: format now and you can ask ask any question and

2406
02:05:19,280 --> 02:05:21,360
Speaker 4: you'll see sort of the video index for a minute,

2407
02:05:21,640 --> 02:05:24,600
Speaker 4: and you'll get a response, and the response is remarkably

2408
02:05:25,520 --> 02:05:28,080
Speaker 4: relevant to the question you asked. For this all being real,

2409
02:05:28,320 --> 02:05:30,880
Speaker 4: you mentioned AI, the video itself is not fake. The

2410
02:05:31,000 --> 02:05:35,040
Speaker 4: video is absolutely real. Interviews with these people where we

2411
02:05:35,160 --> 02:05:37,280
Speaker 4: sat down with them for a week. We asked every

2412
02:05:37,320 --> 02:05:40,120
Speaker 4: single question we could ever imagine, in every single iteration

2413
02:05:40,240 --> 02:05:43,400
Speaker 4: we could imagine someone asking the question and then it's

2414
02:05:43,440 --> 02:05:46,240
Speaker 4: all sort of indexed and edited, and now you can

2415
02:05:46,280 --> 02:05:47,760
Speaker 4: go in and you can you know, you can ask

2416
02:05:47,800 --> 02:05:50,080
Speaker 4: any question and receive an answer about the war or

2417
02:05:50,120 --> 02:05:51,360
Speaker 4: about their life in Cincinnati.

2418
02:05:51,520 --> 02:05:53,480
Speaker 1: Well, okay, that was I was going to gravitate toward that.

2419
02:05:53,560 --> 02:05:56,480
Speaker 1: So a logical question for me will be like, tell

2420
02:05:56,560 --> 02:06:00,520
Speaker 1: me or explain a day in the life at our Schwitz,

2421
02:06:01,280 --> 02:06:05,920
Speaker 1: like for a for a concentration camp prisoner, yep, yep,

2422
02:06:06,040 --> 02:06:07,920
Speaker 1: And I would get an answer for that yep. But

2423
02:06:08,000 --> 02:06:10,680
Speaker 1: I could also ask pivoting over to the Cincinnati part.

2424
02:06:10,800 --> 02:06:13,440
Speaker 1: You know, are you or are you a Cincinnati Reds fan?

2425
02:06:13,560 --> 02:06:16,240
Speaker 4: Yeah, totally, and they'll talk about the Reds. You can ask,

2426
02:06:16,360 --> 02:06:19,520
Speaker 4: you know, al Miller, who's the survivor, who's in our

2427
02:06:19,640 --> 02:06:22,280
Speaker 4: featured in our di t gallery right dimensions and testament

2428
02:06:22,280 --> 02:06:23,600
Speaker 4: and gallery right now? I can ask him what his

2429
02:06:23,640 --> 02:06:25,160
Speaker 4: favorite flavor of Greater's ice cream is.

2430
02:06:25,720 --> 02:06:29,080
Speaker 1: I'll tell you, Well, okay, let me test the boundaries

2431
02:06:29,080 --> 02:06:31,920
Speaker 1: of this. If I said what I just want to know?

2432
02:06:32,200 --> 02:06:34,280
Speaker 1: Of course, you know, you got to be thinking about

2433
02:06:34,280 --> 02:06:35,800
Speaker 1: all kinds of questions I could ask. But if I

2434
02:06:35,880 --> 02:06:41,000
Speaker 1: was being foolish, could I ask him what's better Skyline

2435
02:06:41,040 --> 02:06:41,600
Speaker 1: or gold Star.

2436
02:06:41,800 --> 02:06:43,880
Speaker 4: So if I think he has a response for that,

2437
02:06:44,080 --> 02:06:46,160
Speaker 4: and let me tell you, you think you can trick him,

2438
02:06:46,520 --> 02:06:48,320
Speaker 4: there's no one who's going to try harder than a

2439
02:06:48,360 --> 02:06:51,880
Speaker 4: group of ninth grade you know, high school also come through.

2440
02:06:52,200 --> 02:06:55,200
Speaker 4: So we we have and he will say, in the case,

2441
02:06:55,440 --> 02:06:57,760
Speaker 4: you know, we didn't ask him a question that has

2442
02:06:57,880 --> 02:06:59,760
Speaker 4: some something to do with the you know, with the

2443
02:07:00,080 --> 02:07:02,280
Speaker 4: with the question you're asking, he'll say, let's get back

2444
02:07:02,280 --> 02:07:04,640
Speaker 4: to my story. Or he'll say, you know, well, actually

2445
02:07:04,760 --> 02:07:07,440
Speaker 4: that's a question that they didn't I was never asked before.

2446
02:07:07,640 --> 02:07:08,680
Speaker 4: You can have any other questions.

2447
02:07:09,680 --> 02:07:10,960
Speaker 3: Have I heard that? Rarely?

2448
02:07:11,000 --> 02:07:14,680
Speaker 4: Have I heard that? Huh, Yeah, it's pretty amazing. There

2449
02:07:14,800 --> 02:07:17,960
Speaker 4: is an AI algorithm that learns the more you ask

2450
02:07:18,120 --> 02:07:21,920
Speaker 4: questions how to better source relevant answers. But the video,

2451
02:07:21,920 --> 02:07:23,920
Speaker 4: it's really important that the video is not AI. The

2452
02:07:24,000 --> 02:07:26,720
Speaker 4: video is real recorded interviews with the survivor.

2453
02:07:27,680 --> 02:07:29,760
Speaker 1: You know what, I although I can envision a time

2454
02:07:29,840 --> 02:07:34,640
Speaker 1: where you know, there's probably out in the artificial intelligence

2455
02:07:35,720 --> 02:07:39,080
Speaker 1: gathering mode that's out there. Literally every source of information

2456
02:07:39,440 --> 02:07:42,200
Speaker 1: that has been digitized is being looked at from artificial

2457
02:07:42,240 --> 02:07:47,440
Speaker 1: intelligence that you might have a real time three dimensional

2458
02:07:47,560 --> 02:07:51,680
Speaker 1: hologram of this guy and using every available ounce of information.

2459
02:07:51,800 --> 02:07:53,880
Speaker 1: If you failed to as him ask him a question

2460
02:07:53,960 --> 02:07:56,360
Speaker 1: when he was alive, they could scour the globe of

2461
02:07:56,400 --> 02:07:58,480
Speaker 1: information and come up with a response that he could

2462
02:07:58,520 --> 02:08:00,440
Speaker 1: actually say to you. They would look like he was

2463
02:08:00,520 --> 02:08:03,240
Speaker 1: answering that question. Oh he never answered that question for

2464
02:08:03,360 --> 02:08:05,640
Speaker 1: him when was alive. But there's a little there's an

2465
02:08:05,720 --> 02:08:07,480
Speaker 1: article over here that talks about him that said, you

2466
02:08:07,520 --> 02:08:09,280
Speaker 1: know what, in fact, he was a gold.

2467
02:08:09,120 --> 02:08:11,600
Speaker 4: Star fan well, and that this is why I always

2468
02:08:11,640 --> 02:08:14,720
Speaker 4: correct and people say the AI exhibit, because yes, there's

2469
02:08:14,720 --> 02:08:17,200
Speaker 4: an AI component of how the algorithm sources the right

2470
02:08:17,440 --> 02:08:18,240
Speaker 4: actual answers.

2471
02:08:18,400 --> 02:08:19,960
Speaker 1: But it goes back really important.

2472
02:08:20,080 --> 02:08:23,400
Speaker 4: It's really important that like there is no fabrication, there

2473
02:08:23,600 --> 02:08:26,200
Speaker 4: is no random sourcing of what we think he might

2474
02:08:26,240 --> 02:08:28,960
Speaker 4: have answered. This is are real answers from a real person.

2475
02:08:29,040 --> 02:08:33,880
Speaker 1: And that's critical to your credibility going back to these idiots, right, well,

2476
02:08:33,960 --> 02:08:36,160
Speaker 1: they made that up, clearly, they made everything else up.

2477
02:08:37,280 --> 02:08:42,000
Speaker 1: Exactly eight forty five. One more segment with the Auschwitz

2478
02:08:42,120 --> 02:08:44,960
Speaker 1: not long ago, not far away, the far away museum,

2479
02:08:45,080 --> 02:08:47,960
Speaker 1: along with Elizabeth and Jackie. We'll be back right away,

2480
02:08:48,000 --> 02:08:52,000
Speaker 1: don't go way fifty five KRC the talk station. Chris

2481
02:08:52,120 --> 02:08:58,960
Speaker 1: Kindermark the talk station eight fifty fifty five KRC the

2482
02:08:59,080 --> 02:09:02,760
Speaker 1: talk Station. This has been such a delightful conversation. Elizabeth

2483
02:09:02,800 --> 02:09:06,240
Speaker 1: Pearson Studio President, CEO of the Sinsinan Museum Center, Jackie Conjato.

2484
02:09:06,600 --> 02:09:08,720
Speaker 1: She is the CEO of the Nancy and David Wolf

2485
02:09:08,760 --> 02:09:12,120
Speaker 1: Holocaust in Humanity Center, which is and will continue to

2486
02:09:12,320 --> 02:09:16,480
Speaker 1: be after the roving exhibit leaves at the cincinn Museum Center.

2487
02:09:16,520 --> 02:09:20,080
Speaker 1: It's this beautiful, beautiful space. The Holocaust in Humanity Center

2488
02:09:21,040 --> 02:09:25,920
Speaker 1: is truly an overall uplifting opportunity, but fascinating in every right.

2489
02:09:26,000 --> 02:09:28,320
Speaker 1: But now we've got this addition, a separate exhibit five

2490
02:09:28,400 --> 02:09:33,200
Speaker 1: hundred international artifacts from Auschwitz at the museum Center. Again,

2491
02:09:33,240 --> 02:09:36,360
Speaker 1: the name of the exhibit is Auschwitz, not long ago,

2492
02:09:36,560 --> 02:09:39,520
Speaker 1: not far away. It's there until the twelfth of April.

2493
02:09:39,600 --> 02:09:41,600
Speaker 1: Joel put all this information up on the blog page

2494
02:09:41,640 --> 02:09:43,480
Speaker 1: fifty five cars dot com, along with the links to

2495
02:09:43,520 --> 02:09:48,080
Speaker 1: the museum Center's website and the Holocaust in Humanity Center's website.

2496
02:09:48,560 --> 02:09:53,320
Speaker 1: So what else are we going to see here? So

2497
02:09:53,440 --> 02:09:57,280
Speaker 1: we've talked about the exhibit, talked about some of the

2498
02:09:57,320 --> 02:09:59,440
Speaker 1: reasons we need to see the exhibit. Those who are

2499
02:09:59,440 --> 02:10:01,200
Speaker 1: not studying the stakes of the past are destined to

2500
02:10:01,240 --> 02:10:03,080
Speaker 1: repeat them or end up in a state of denial

2501
02:10:03,160 --> 02:10:05,760
Speaker 1: that they never even happen. You know, let's just end

2502
02:10:05,880 --> 02:10:09,440
Speaker 1: that notion you don't believe it happened, show up and

2503
02:10:09,560 --> 02:10:11,440
Speaker 1: prove it to yourself. But then also this idea that

2504
02:10:11,560 --> 02:10:13,800
Speaker 1: maybe can ground us a little bit and we can realize,

2505
02:10:13,800 --> 02:10:15,880
Speaker 1: you know what, our lives aren't really as dang bad

2506
02:10:15,920 --> 02:10:18,240
Speaker 1: as we perceive them to be. And I think that's

2507
02:10:18,280 --> 02:10:19,760
Speaker 1: one of the best things we could probably do this

2508
02:10:19,840 --> 02:10:21,600
Speaker 1: time of year, as we've fast approached the holidays.

2509
02:10:22,040 --> 02:10:24,959
Speaker 4: Yeah, I mean, it's all about gratitude and perspective. Gratitude

2510
02:10:25,000 --> 02:10:28,680
Speaker 4: and perspective. I tell myself that if my past one

2511
02:10:28,760 --> 02:10:33,840
Speaker 4: thing on to my children, it is gratitude, empathy, and resilience.

2512
02:10:34,000 --> 02:10:35,760
Speaker 4: Those are the three. And I think that this is

2513
02:10:35,920 --> 02:10:39,960
Speaker 4: like the perfect laboratory for how to help young people.

2514
02:10:40,040 --> 02:10:42,880
Speaker 4: But adults also get a healthy perspective and you know,

2515
02:10:42,960 --> 02:10:46,640
Speaker 4: a sense of a sense of gratitude and honestly, resilience.

2516
02:10:47,120 --> 02:10:49,840
Speaker 1: Resilience, well, you know, and this isn't an effort to

2517
02:10:49,920 --> 02:10:52,040
Speaker 1: go down a political road. I don't know, you're either

2518
02:10:52,080 --> 02:10:54,280
Speaker 1: of you ladies. Political affiliation, I really don't think it

2519
02:10:54,400 --> 02:11:00,760
Speaker 1: matters what I find impossible to believe Republican Democrat, independent socialists, communists, whatever.

2520
02:11:01,400 --> 02:11:04,240
Speaker 1: Then an outright anti Semite, someone who has been critical

2521
02:11:04,320 --> 02:11:07,000
Speaker 1: of Jewish people generally speaking, and has been involved with

2522
02:11:07,120 --> 02:11:10,520
Speaker 1: and a member of organizations who river to the sea

2523
02:11:11,200 --> 02:11:14,360
Speaker 1: advocate for the eradication of Israel generally speaking, and the

2524
02:11:14,560 --> 02:11:19,160
Speaker 1: Jewish people Allah. The final solution that the Nazis I

2525
02:11:19,200 --> 02:11:22,840
Speaker 1: mean this is these are people who've adopted a very

2526
02:11:22,920 --> 02:11:25,560
Speaker 1: Adolf Hitler like approach in terms of their viewpoints of

2527
02:11:25,640 --> 02:11:30,480
Speaker 1: Jewish people. They view them with disdain. So, yes, it

2528
02:11:30,560 --> 02:11:33,920
Speaker 1: could happen again, is all I can observe that there

2529
02:11:34,000 --> 02:11:38,120
Speaker 1: are people in power who hold these viewpoints right now.

2530
02:11:39,200 --> 02:11:40,880
Speaker 4: Yeah, And I think the best thing we can do

2531
02:11:41,240 --> 02:11:45,400
Speaker 4: to sort of inoculate ourselves in that way is to

2532
02:11:45,720 --> 02:11:49,280
Speaker 4: understand what anti Semitism looks like, how it shows up,

2533
02:11:49,760 --> 02:11:53,000
Speaker 4: so that we can recognize it in our world in ourselves, right.

2534
02:11:53,320 --> 02:11:55,760
Speaker 4: You know, we don't have to be It's not a

2535
02:11:55,840 --> 02:11:58,120
Speaker 4: point of shame, but it's a point of stereo. It's

2536
02:11:58,160 --> 02:12:00,680
Speaker 4: like it's like any other stereotype. You just have to

2537
02:12:00,760 --> 02:12:02,480
Speaker 4: be aware enough of what it looks like so that

2538
02:12:02,560 --> 02:12:05,080
Speaker 4: when you see it creep up in a conversation or

2539
02:12:05,120 --> 02:12:07,640
Speaker 4: in your own thoughts, you can identify that and say,

2540
02:12:07,680 --> 02:12:09,920
Speaker 4: you know, that might seem harmless in the moment, but

2541
02:12:10,160 --> 02:12:14,960
Speaker 4: that it's that kind of hatred and stereotype and you know,

2542
02:12:15,080 --> 02:12:17,800
Speaker 4: false information about a group of people that led to

2543
02:12:18,120 --> 02:12:22,000
Speaker 4: the atrocity at scale. So you know, it's I totally

2544
02:12:22,040 --> 02:12:23,760
Speaker 4: agree with you, Brian. It's it's not a left or

2545
02:12:23,800 --> 02:12:26,360
Speaker 4: right issue. It is an issue at the extremes. It's

2546
02:12:26,360 --> 02:12:29,640
Speaker 4: an issue. It's an issue when people stop looking for

2547
02:12:29,840 --> 02:12:33,160
Speaker 4: complex solutions to complex problems and they look for someone

2548
02:12:33,240 --> 02:12:35,840
Speaker 4: to blame. They're looking for an easy scapegoat.

2549
02:12:36,040 --> 02:12:36,080
Speaker 3: You.

2550
02:12:36,720 --> 02:12:37,720
Speaker 4: Scientism has been.

2551
02:12:37,640 --> 02:12:39,320
Speaker 2: That you have a century, so you have a survivor

2552
02:12:39,360 --> 02:12:42,280
Speaker 2: who has said the Holocaust did not start with bullets.

2553
02:12:42,520 --> 02:12:43,840
Speaker 4: Yes, it started with words.

2554
02:12:44,000 --> 02:12:48,120
Speaker 2: That's right, And so understanding what that humanity looks like

2555
02:12:48,320 --> 02:12:53,040
Speaker 2: and how far these choices are made every day is

2556
02:12:53,600 --> 02:12:55,880
Speaker 2: so crucial, and it's it's kind of the whole point

2557
02:12:55,880 --> 02:12:58,760
Speaker 2: of the exercise that we're in the middle of right now.

2558
02:12:58,920 --> 02:12:59,120
Speaker 3: Yeah.

2559
02:12:59,160 --> 02:13:01,680
Speaker 4: I think I think the power in this history is

2560
02:13:01,760 --> 02:13:05,600
Speaker 4: that we think about these massive atrocities or frankly massive

2561
02:13:05,720 --> 02:13:09,360
Speaker 4: movements for progress and justice in our societies as big

2562
02:13:09,520 --> 02:13:13,120
Speaker 4: sweeping things that happen out there. The reality is that

2563
02:13:13,280 --> 02:13:15,920
Speaker 4: the worst things we can think of that have happened

2564
02:13:15,960 --> 02:13:19,600
Speaker 4: in human history, and the best things they happened one person,

2565
02:13:20,080 --> 02:13:23,800
Speaker 4: one choice, one moment at a time. They were relatively

2566
02:13:24,000 --> 02:13:27,920
Speaker 4: mundane people going about their mundane lives, making mundane choices.

2567
02:13:28,520 --> 02:13:31,560
Speaker 4: So I mean, in my mind, we can see that

2568
02:13:31,680 --> 02:13:36,120
Speaker 4: as really being or we can see that as as hopeful,

2569
02:13:36,280 --> 02:13:39,680
Speaker 4: because we all have the Holocaust was not inevitable. It

2570
02:13:39,840 --> 02:13:42,960
Speaker 4: wasn't inevitable. It happened because people made choices, and we

2571
02:13:43,080 --> 02:13:46,280
Speaker 4: have the opportunity to choose, choose the good, to choose

2572
02:13:46,360 --> 02:13:48,960
Speaker 4: to act in character strength, to choose to see the

2573
02:13:49,000 --> 02:13:53,920
Speaker 4: strengths in other people, to value difference. And you know,

2574
02:13:54,360 --> 02:13:56,440
Speaker 4: that's up to us. What's the story they're going to

2575
02:13:56,480 --> 02:13:56,960
Speaker 4: tell about us?

2576
02:13:56,960 --> 02:13:59,440
Speaker 1: Brian am and to that I cannot improve on those

2577
02:13:59,520 --> 02:14:03,040
Speaker 1: closing comments, Jackie, beautifully stated, and thank you very much

2578
02:14:03,080 --> 02:14:05,120
Speaker 1: for encouraging my listening audience to head on out to

2579
02:14:05,200 --> 02:14:08,800
Speaker 1: the Nancy and David Wolf Holocaust in Humanity Center and

2580
02:14:08,880 --> 02:14:12,120
Speaker 1: Elizabeth Pierce, President CEO of the Cincinni Museum Center. I'm

2581
02:14:12,160 --> 02:14:15,160
Speaker 1: jealous of your employment venue, that's for sure, but I'll

2582
02:14:15,200 --> 02:14:17,680
Speaker 1: be back real soon. I gotta check this exhibit out

2583
02:14:17,720 --> 02:14:19,680
Speaker 1: and maybe, just maybe we'll get this figured out for

2584
02:14:19,760 --> 02:14:23,040
Speaker 1: a listener lunch. That would be really cool. So I'll

2585
02:14:23,120 --> 02:14:26,120
Speaker 1: put my I'll put Debbie howell Er on that you'll

2586
02:14:26,120 --> 02:14:27,560
Speaker 1: be getting a call from her at some point, so

2587
02:14:27,680 --> 02:14:30,240
Speaker 1: that to look forward to fifty five kose dot com folks,

2588
02:14:30,240 --> 02:14:31,480
Speaker 1: if you didn't get a chance to listen a live

2589
02:14:31,560 --> 02:14:32,960
Speaker 1: we had Tech Friday with Dave had Do. We had

2590
02:14:32,960 --> 02:14:35,560
Speaker 1: a full hour with George Brennman Keith Tennefeld in studio

2591
02:14:35,960 --> 02:14:36,360
Speaker 1: Restore