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Speaker 1: Hammer and Nigel.

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Speaker 2: Do you believe these characters are weirdos?

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Speaker 3: Traveling this weekend? Hammer play plan accordingly. I don't know

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Speaker 3: if you've noticed your social media feeds, but they're filled

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Speaker 3: with airports in New York, Houston, Atlanta at just lines

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Speaker 3: miles long because TSA isn't getting paid and they are

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Speaker 3: stretched too thin. I think Indy has been okay from

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Speaker 3: what I've heard. Long TSA lines at airports other airports

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Speaker 3: across the country do to the DHS shutdown and again

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Speaker 3: TSA with a very hard job not getting paid right,

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Speaker 3: and I.

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Speaker 1: Think Indy has been doing really well. Like Indy's airport,

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Speaker 1: You're not seeing them on these viral stories of hell

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Speaker 1: breaking loose, at least not yet, not yet, not yet. Now.

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Speaker 1: I am flying out on Sunday evening out of Indy,

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Speaker 1: so I'm crossing my fingers things will be okay. But

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Speaker 1: coming back home, because I'm off two days next week,

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Speaker 1: I'm coming through a major airport and I'm beginning to

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Speaker 1: wonder how soon should I get there to deal with

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Speaker 1: the TSA crap. Godspeed to you. I just spent the

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Speaker 1: night there the night before. If I were you, I'm

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Speaker 1: not doing that, not doing that in the airport. Now,

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Speaker 1: if they kept the bar open all night long, well

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Speaker 1: maybe last night on CNN, Scott Jennings was on Abby

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Speaker 1: Phillips program. As we've said before, the only reason people

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Speaker 1: watch Abby Phillip is to see Scott Jennings, you know,

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Speaker 1: go into the lions Den and take on that panel.

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Speaker 1: He simply, very calmly pointed out to all of the

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Speaker 1: Democrat panelists, this is on you.

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Speaker 4: I live in airports. These poor TSA people. They've missed

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Speaker 4: two paychecks, they're about to miss a third one. They're

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Speaker 4: having to call out in places. Hundreds have already quit.

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Speaker 4: They have to make ends meet, they got to get

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Speaker 4: other It's unconscionable what.

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Speaker 1: We're doing to them.

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Speaker 4: And also, given the security and terrorism threats in the

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Speaker 4: United States heading the shutdown right now, I do think

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Speaker 4: the Democrats are risking a lot of blowback.

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Speaker 1: I do too. But here's the problem. Do Democrat voters

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Speaker 1: even understand that this is predominantly because of them? Because

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Speaker 1: if we live in such an echo chamber where they're

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Speaker 1: only watching CNN and they're only watching ms Now and

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Speaker 1: they're only reading Politico or The Atlantic, do they understand

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Speaker 1: that ice is already funded through the big beautiful bill,

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Speaker 1: and this is all just for show.

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Speaker 3: That's yeah, what the Democrats in charge are saying, Oh,

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Speaker 3: we got a defund ice, so we're not going to

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Speaker 3: open back open the government. No, they don't understand that.

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Speaker 3: And I'll piggyback on that hammer and say the Congress,

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Speaker 3: Senate whatever. They don't care about the TSA workers. They

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Speaker 3: don't care about the average Joe six pack that are

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Speaker 3: putting in ten twelve hours a day, right not getting

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Speaker 3: paid for it. When this eventually gets passed and DHS

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Speaker 3: gets funded, they will get paid retroactively, I believe, but

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Speaker 3: that doesn't help them currently in their situation at all.

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Speaker 3: And anyways, paper.

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Speaker 1: For and in regards to Scott Jennings I mentioned earlier,

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Speaker 1: he's the only reason people tune into Abby Phillip on

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Speaker 1: our chat. Right here, you've got Brad Soowinsky eight one zero, yeah,

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Speaker 1: and people watch the five for Jessica Tarloff. Well, Brad,

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Speaker 1: if you look at the actual ratings that do come out. Now,

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Speaker 1: I'm somebody that works in the broadcast industry, so these

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Speaker 1: types of numbers are somewhat important to me. That's how

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Speaker 1: Nige and I make a living on the radio side,

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Speaker 1: but we also study what happens on the television side.

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Speaker 1: You see a spike when the panel comes on when

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Speaker 1: it's Scott Jennings, and on those nights where he's not

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Speaker 1: there or at some other republic, you see a dip.

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Speaker 1: So yeah, the reason people are tuning into Abby Phillip

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Speaker 1: is to see Scott Jennings. But Brad, what do I know?

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Speaker 1: I only work in the broadcast industry, study ratings that

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Speaker 1: look at the data. But I'm sure you know everything, Brad.

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Speaker 1: So by all means, the flora is yours. Save Act

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Speaker 1: update here, Nige, oh boy, propaganda is in full effect

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Speaker 1: here as we get close to a go through the

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Speaker 1: motions meaningless vote because we already know how this is

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Speaker 1: going to play out. But we do have a good

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Speaker 1: old fashioned hypocrisy alert. The National Weather Service at the

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Speaker 1: Hammer and Nigel's Show have issued a hypocrisy warning for

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Speaker 1: Morning Joe Joe Scarborough. Here's what he had to say

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Speaker 1: about the controversial idea of voter identification, which is really

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Speaker 1: the essence of the Save Act.

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Speaker 5: This morning, Republicans, they don't even allow your driver's license

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Speaker 5: to be used as a way to be able to

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Speaker 5: vote for your mayor, for your county commissioners, for your

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Speaker 5: your state senators, house members, governors, presidents, doing everything you

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Speaker 5: can do to ensure that your unpopular party can somehow

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Speaker 5: figure out a way to win in the fall.

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Speaker 3: Okay, what man, Every time I've voted, I've just had

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Speaker 3: to assume my driver's license.

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Speaker 1: Racist, that's what you are. You might as well have

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Speaker 1: a clan hood on Nigel, it's Jim Crow. Okay. So

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Speaker 1: the reason we say there's a hypocrisy alert is that

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Speaker 1: it wasn't that long ago when Joe Scarborough was singing

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Speaker 1: a different tune on the same program, on the same network.

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Speaker 6: The Democratic legislature has actually passed a bill out a

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Speaker 6: committee that allows ilegal immigrants to get a California's driver's license.

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Speaker 1: And that's right. By giving these.

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Speaker 6: Criminals the most acceptant form of identification in America, the

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Speaker 6: California Democrats buy vunce for themselves. And it looks like

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Speaker 6: to me, at least, a political gaymanship is trumping national

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Speaker 6: security as illegal immigrants are given a free pass. This

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Speaker 6: plan seems to me to legitimize illegal immigration once and

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Speaker 6: for all.

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Speaker 1: And it's dangerous. Oh, it's dangerous.

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Speaker 3: Life comes at you pretty fast. That was wait wait wait,

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Speaker 3: that was the same guy in the same show. Correct

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Speaker 3: just a few years back, That.

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Speaker 1: Would be correct.

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Speaker 3: Yes, I mean talk about zero credibility in any way,

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Speaker 3: shape or form, whatsoever.

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Speaker 1: You have none, morning, Joe, You're a joke. And this

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Speaker 1: is what's so wild. You've got people like Joe Kent,

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Speaker 1: you know, the recently resigned counter terrorism guy. You've got

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Speaker 1: podcast host, former TV host Meghan Kelly saying all these things,

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Speaker 1: when just literally months or years ago they said the opposite. Now,

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Speaker 1: I'm somebody that understands your mind can change over time

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Speaker 1: if you get more information, But in that short of time,

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Speaker 1: your philosophical beliefs are different. I find that to be

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Speaker 1: a little hard to believe. You know who else is

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Speaker 1: calling BS on all this screaming A Steven A.

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Speaker 5: Smith is not lost on me that the Democrats is

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Speaker 5: one votes of anybody that can get it from And

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Speaker 5: I don't mind letting some illegals vote e though, And

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Speaker 5: that's inexcusable.

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Speaker 1: So where are we at when screaming A is the

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Speaker 1: voice of reason and all this.

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Speaker 3: Well, we're at a point where it's not a controversial

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Speaker 3: issue to begin with. He knows the polling numbers. Stephen

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Speaker 3: A is paying attention to the actual numbers that have

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Speaker 3: to do.

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Speaker 1: With the Save Act and voter ID.

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Speaker 3: Everybody, Democrats, Republicans, average citizen believes that you need an

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Speaker 3: ID to vote, you know, right like I turned it

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Speaker 3: to Joe Biden right there.

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Speaker 1: Very creepy whisper. If you start to sniff me to

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Speaker 1: get very uncomfortable, good god, uh crion, Chuck, Chuck Schumer.

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Speaker 1: He had a speech, very passionate speech on the Senate floor,

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Speaker 1: to which CNN fact checked him immediately afterwards.

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Speaker 7: Voter voter suppression. That is what the Republican Senate is

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Speaker 7: wasting our time on, pushing a voter suppression bill that

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Speaker 7: most Americans do not support, a bill that appeals to

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Speaker 7: only the most fringe element of the MAGA base.

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Speaker 8: Take a look here, favorite photo ID to vote. Eighty

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Speaker 8: five percent of white people favorite, eighty two percent of Latino,

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Speaker 8: seventy six percent of black American's favorite. So the bottom

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Speaker 8: line is this voter ID is not controversial in this country.

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Speaker 8: A photo IDA vote is not controversial in this country.

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Speaker 8: It is not controversial by party, and it is not

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Speaker 8: controversial by race.

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Speaker 1: Crime.

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Speaker 3: Chuck is just I'm stating the obvious, but it's what

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Speaker 3: a liar, what a propagandas.

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Speaker 1: Well he knows his days could be number two. I mean,

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Speaker 1: like it or not. If AOC wants to challenge him,

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Speaker 1: I think she beats him. I think she beats him

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Speaker 1: in New York, and Chuck knows that. And I think

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Speaker 1: he's lost the support of so many people. The last

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Speaker 1: time we had a government shut down, Chuck kind of folded,

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Speaker 1: and AOC in a bunch of others flamed him and

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Speaker 1: blamed him for it. So when he's not sitting there

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Speaker 1: wearing his glasses on the tip of his nose, or

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Speaker 1: trying to eat a raw hamburger on the grill with

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Speaker 1: frozen cheese, or smacking his spit around like mister ed

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Speaker 1: that just had peanut butter rubbed on his mouth, he's

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Speaker 1: losing the support of his fellow Democrats. It's a beer

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Speaker 1: sample Friday here on the Hammer in Nigel's show. But Nige,

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Speaker 1: if you got a forty on you, not necessarily a

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Speaker 1: beer a forty ouncer, pour a little bit of it

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Speaker 1: out for your homie.

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Speaker 3: Chuck Norris today gone at the age of eighty six,

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Speaker 3: just turned eighty six, last week.

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Speaker 1: I believe family confirmed it on social media. Passed away yesterday,

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Speaker 1: but they announced it today. It's really weird. I wonder

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Speaker 1: what happened.

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Speaker 3: They said it was a medical emergency, but then it

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Speaker 3: was kind of like, oh, no, he's up, he's fine,

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Speaker 3: he's joking around, and then we find out that he

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Speaker 3: actually passed away.

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Speaker 1: Right. Signature movies for Chuck Norris, I would say Missing

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Speaker 1: an Action Delta Force, and then you go in the

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Speaker 1: TV series Walker, Texas Ranger, which was a very successful

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Speaker 1: outlet for Chuck.

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Speaker 3: Yeah, don't forget about the earlier works where it wasn't

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Speaker 3: necessarily starring Chuck Norris, but entered the Dragon and Way

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Speaker 3: of the Dragon with it was a Bruce Lee vehicle

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Speaker 3: for sure, but boy, those fight scenes were intent.

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Speaker 1: So in honor of Chuck Norris going away, and I

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Speaker 1: think this is what he would want because he was

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Speaker 1: such a main part of pop culture, We're going to

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Speaker 1: do some classic Chuck Norris jokes in honor of Chuck.

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Speaker 1: One final farewell to Chuck Norris. Can we do some

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Speaker 1: of these please? Chuck Norris didn't die. He simply murdered

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Speaker 1: his own heart. Chuck Norris didn't die, He simply donated

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Speaker 1: his guts and fists to fight the war in Iran.

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Speaker 1: Chuck Norris actually died a few years ago, but the

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Speaker 1: Grim Reaper just now worked up enough courage to let

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Speaker 1: everybody know. Chuck Norris actually died on the nineteenth, but

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Speaker 1: it wasn't announced until today in case he changed his mind.

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Speaker 1: Rest in peace, American badass Chuck Norris. What up? This

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Speaker 1: is Doctor Dre the plot he's going on? Thank God

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Speaker 1: it's Friday. You would listening to the Hammer and Nigel Show.

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Speaker 3: Yeah, I'm Nigel, that's Hammer and we have a very

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Speaker 3: special in studio.

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Speaker 1: Guest friend of the show. She's been coming on with us.

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Speaker 1: I believe every single year we were given the keys

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Speaker 1: to drive this little afternoon boat from Hogies and Hops.

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Speaker 1: Christina is here. How are you?

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Speaker 3: There?

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Speaker 9: Were doing very well? Thank you, Thank you for having them.

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Speaker 3: You brought beer, you brought cheese steak. She knows us.

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Speaker 9: I've been here on a Friday once your Toway many

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Speaker 9: I do.

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Speaker 1: So we're kind of getting a beer sample Friday thing going.

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Speaker 1: But we're also celebrating the cheese steak now. I believe

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Speaker 1: Cheese Steak Day is Tuesday, right.

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Speaker 10: March twenty fourth to that right, which happens to be

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Speaker 10: my birthday. But anyway, Yeah, so March twenty fourth is

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Speaker 10: National Cheese Steak Day slash my b day. But every

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Speaker 10: year we raise money for our local community center. And

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Speaker 10: since we've been in Butler talking to neighborhood, which is

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Speaker 10: forty second in Boulevard just south of Hinklefield House, Butler

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Speaker 10: talking to neighborhood anyway, MLK Center, we have been a

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Speaker 10: huge supporter of and fifteen percent of our sales each

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Speaker 10: year on National Cheeseteak Day go towards their efforts.

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Speaker 1: Awesome. What I love is how much you do for

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Speaker 1: the community. Now you don't have to do this. You

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Speaker 1: could just be like, I'm a business owner, it's all

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Speaker 1: about the Benjamin's, I'm gonna make as much money as

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Speaker 1: I can. But you are always it seems like doing

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Speaker 1: something to help out your neighbors and the community. And

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Speaker 1: I think that's awesome.

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Speaker 9: Yeah, I love being a part of it.

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Speaker 10: You know, I grew up in you know, Southeast PA

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Speaker 10: outside of Philly, and there are a little HOGI shops everywhere,

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Speaker 10: and just the memories of when I was a kid

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Speaker 10: and being a girl scouter for soccer, Like we sold

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Speaker 10: hogies and cheese steaks, not bake goods, you know, to

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Speaker 10: raise money for field trips or for sporting equipment, you

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Speaker 10: name it. So being part of a community in a

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Speaker 10: neighborhood is I love it, and I love this area

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Speaker 10: and the MLC Center just so much for the families,

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Speaker 10: the kids in the area, you know, after school programming, everything,

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Speaker 10: you name it.

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Speaker 9: They do a fantastic job.

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Speaker 3: By the way, you're in the same complex as Chili Water. Yeah,

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Speaker 3: so that's the beer you brought.

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Speaker 10: Yees, so we brought Chili Water. So Chili Water are partners.

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Speaker 10: They are located in our same building right on forty second.

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Speaker 10: This is their tap them their main locations on town.

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Speaker 10: I brought two of their flagships, their Pilsner and their

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Speaker 10: blood on the tracks and to go along with this

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Speaker 10: whiz Witch cheese steak that we got going on today.

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Speaker 1: Now, if somebody has never been to Hogies and Hops,

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Speaker 1: you try to create the real Philly experience. She did right, Yeah,

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Speaker 1: Like you are a Philly gal. You're wearing the hat,

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Speaker 1: you're rooting for the Philly teams. Like this isn't window

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Speaker 1: dressing again, and this.

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Speaker 10: Is where everyone goes to watch the Eagles games. Even

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Speaker 10: Lincoln Financial and the Philadelphia Eagles marketing department named us,

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Speaker 10: even though I always said we were with the official

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Speaker 10: joint but they actually sent us a flag in a

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Speaker 10: certificate last semess or last season basically saying that we

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Speaker 10: are the official landing spot for the Eagles nests in

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Speaker 10: the state of Indiana. My roles are shipped in from

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Speaker 10: South Jersey number one, so ten years ago when I

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Speaker 10: first opened, I never would open without those roles.

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Speaker 1: That's like really important.

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Speaker 9: It's very important.

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Speaker 10: And most customers when they come in, they'll ask who

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Speaker 10: we use, you know, and if we toast the bread, No,

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Speaker 10: we do not. We will never toast the bread. Just

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Speaker 10: letting everybody know that our hogies are meant to be cold,

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Speaker 10: but our cheese stakes are legit to take a bite.

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Speaker 1: Right now, you guys can keep on talking together. We

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Speaker 1: got it all now. The big local celebrity eating contest

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Speaker 1: is tomorrow. I won this thing a year ago.

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Speaker 9: He did the Hogi one.

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Speaker 1: I did the Hogi one. I am not competing in

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Speaker 1: this one. It's my old man's birthday tomorrow, so happy

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Speaker 1: early birthday to Stone Cold Steve Hammer, the man that

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Speaker 1: yelled at the mayor and told him to get off

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Speaker 1: his lawn. Hat tip to that guy. But who's all

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Speaker 1: taking part in this event at tomorrow?

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Speaker 10: I decided to keep a kind of small smaller than

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Speaker 10: my Hogue Eating contests, and I actually blended our little

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Speaker 10: local celebs with our little legendary customers that have been

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Speaker 10: with us for a long time, okay, and they.

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Speaker 1: It's like a pros first Joe's kind of deal here.

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Speaker 9: It's gonna be a lot of fun.

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Speaker 10: So I have about twelve participants when it comes to

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Speaker 10: the local celebris. You're looking at Ryan Moore's from which

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Speaker 10: Ethan Russick from, Yeah.

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Speaker 1: He did the contest that I was there. Yeah, Yeah,

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Speaker 1: she was there.

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Speaker 10: So we have, yeah, I have about five local celebs

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Speaker 10: jumping in on it, and then also Colin Bailey from

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Speaker 10: which TV as well. And then we have like Darren

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Speaker 10: King and Greg Pulley and a few other of my

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Speaker 10: corn George who was the he was HOGI Eating champion

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Speaker 10: for about four years, so he's coming back to do

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Speaker 10: this cheese stick and it's going to.

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Speaker 1: Be this Big Joe around this thing anywhere.

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Speaker 9: So Big Joe is going to be our MC.

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Speaker 10: He is our mc every year for our hosting contest now,

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Speaker 10: but he knows he'll get a cheese stick for his.

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Speaker 9: For his efforts.

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Speaker 10: And then yes, and then if you show up, you'll

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Speaker 10: be lucky enough to have a little meet and greet

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Speaker 10: with some joey chestnut. Because he just let me know

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Speaker 10: he's going to be popping in.

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Speaker 9: Yeah, I asked him.

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Speaker 10: I'm like, are you competing, because I don't know if

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Speaker 10: that would be fair. He's like, I'm there, but he's

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Speaker 10: there to support. He's going to show up and fundraise.

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Speaker 10: But I am going to give him a cheese stake.

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Speaker 10: And even if we do it maybe before or after,

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Speaker 10: I can get him to how fast he put that down.

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Speaker 10: He's done it before about five years ago. He actually

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Speaker 10: had my cheese stake in my Italian Hogi and downed

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Speaker 10: it pretty fast.

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Speaker 1: So if somebody wants to watch that contest tomorrow or

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Speaker 1: come and get one of your awesome hogies or cheese steaks,

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Speaker 1: tell us where Hogies and Hops is at.

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Speaker 10: All right, we're located at forty second and Boulevard. So Tomorrow, Saturday,

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Speaker 10: the twenty first, at two pm is our very first

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Speaker 10: cheese steak eating contest.

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Speaker 9: So that'ud be amazing.

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Speaker 10: It's only going to be a few minutes, so come

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Speaker 10: in and come out, but there will be a collection

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Speaker 10: jar for the MLC Center. Come with cash or there

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Speaker 10: is a QR code that you'll be able to donate

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Speaker 10: through that link. But then on March twenty fourth, if

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Speaker 10: you can't make it too, or on Saturday, come on

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Speaker 10: Tuesday open eleven to nine fifteen percent of our food

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Speaker 10: and chili water beer sales at that taproom forty second

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Speaker 10: location will be donated to the MLC Center, So you

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Speaker 10: have two chances to come to our shop and donate.

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Speaker 1: Hogiesandhops dot com you can get all the information there. Christina,

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Speaker 1: We love having you on. We consider you a friend

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Speaker 1: and good luck, good luck, Thank you. We appreciate all

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Speaker 1: your support.

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Speaker 9: You guys have been there for me all these years.

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Speaker 1: Thanks The Hammer and Nigel Show. You're listening to The

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Speaker 1: Hammer and Nigel Show.

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Speaker 2: Are you man?

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Speaker 1: Are you man? Are you man? Are you man? When

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Speaker 1: name is.

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Speaker 3: Nigel Chasing Hammer right over there with a very special

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Speaker 3: guest on the hotline.

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Speaker 1: Radio hosts voiceover, professional and damn fine American Dan bass

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Speaker 1: Levy joins us, how are you Jens? How are you.

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Speaker 1: You are the man that came up with arguments. Tell

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Speaker 1: everybody what it is. Well, argument is simply an argument

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Speaker 1: or discussion. How with your friends?

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Speaker 11: When are you discussing the would you rather as Mount

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Speaker 11: Rushmore's things that ager? Maybe a goat here and there?

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Speaker 11: I created a podcast for it. I bought the name,

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Speaker 11: and now I bringeth to you Hammer and Nigel, if

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Speaker 11: you're ready to rock so.

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Speaker 1: Aw my, please get us going. A cartoon character that

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Speaker 1: you would like to have a joint? QUI okay, now

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Speaker 1: drink here? I think is the key word, because we've

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Speaker 1: talked about cartoon characters in the past, like who would

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Speaker 1: you rather hang out with or be in a relationship with?

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Speaker 1: But who would you rather go out and have a

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Speaker 1: good old fashioned cocktail or with? All right, what do

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Speaker 1: we got?

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Speaker 11: I don't think we've ever done the relationship well before.

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Speaker 11: We should experiment with that one, but we'll do that later.

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Speaker 1: Two words, Jessica Rabbit continue.

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Speaker 11: I'm gonna say, I think we all have the same one.

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Speaker 11: Betty Rubble gets a turn.

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Speaker 12: All right.

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Speaker 11: So the one that I would pick and I guys

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Speaker 11: actually actually took two lots of things about it. Well,

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Speaker 11: the one that would I would enjoy the most would

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Speaker 11: definitely be Peter Griffin from Family Guy.

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Speaker 13: So I got some crystal mess. I figured we could

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Speaker 13: do it together his father and Shannon. I don't know

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Speaker 13: about Dad, tell you what I'll get us standing feels

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Speaker 13: it feels that stuff is okay. All I know is

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Speaker 13: the guys you made it at Dad? Why you sain't

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Speaker 13: no hole in this wall? All right, I'm gonna take

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Speaker 13: a hike.

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Speaker 1: And that's the guy you chose to go have drinks with, Dad, That.

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Speaker 11: Is the one that I would loved his to be

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Speaker 11: honest whenever. I mean when I was twenty one, I

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Speaker 11: loved to go to bars and people that would do

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Speaker 11: something so stupid and dub You're like, well.

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Speaker 1: Least I'm not that guy. Yeah, Peter is the.

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Speaker 11: Antithesis of what is that guy gonna do next? And

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Speaker 11: I'm not gonna get in trouble for but he will.

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Speaker 1: And if you've ever watched Family Guy, you know Peter's

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Speaker 1: a regular in a bar, so you'll probably get your

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Speaker 1: money's worth too, Like you can probably hold his own

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Speaker 1: in a good old fashioned game of drinking.

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Speaker 11: Oh god, yes, not only that, but like I said,

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Speaker 11: he's like, all right, I just got this awesome Crystal.

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Speaker 1: All right, you got a cartoon character you'd like to

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Speaker 1: have a drink with, Allison.

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Speaker 14: I kind of went a completely different other direction. I

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Speaker 14: went with Genie from Aladdin.

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Speaker 1: Wow, does it seem good to be out of there?

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Speaker 1: I have a nice be back, ladies and gentlemen? Hi,

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Speaker 1: where are you from? What's your name? Laddin? Leaden?

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Speaker 15: Oh?

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Speaker 1: Nice to have you on a joone. Can we call you?

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Speaker 13: Or maybe just did I'll have any sounds like you're

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Speaker 13: going come Onney?

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Speaker 14: First off, never a dull moment. Second, hear me out

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Speaker 14: drinking around the world literally, so he would he could

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Speaker 14: take us to Mexico for tequila, right, okay? Then he

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Speaker 14: snap and you're in Japan, you get some saki, then

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Speaker 14: you go somewhere else. It's literally drinking around the world

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Speaker 14: with Genie, which nuts.

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Speaker 11: But allow me to interject one thing. Whatever that Genie

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Speaker 11: was on was not alcohol. Was turning it up like

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Speaker 11: that is not alcohol.

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Speaker 1: That's that's just sober. I'm sure because I thought that

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Speaker 1: was Robin Williams behind the voice. And if that was

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Speaker 1: Robin Williams, I also I got five bucks and says

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Speaker 1: there was something in that blood chocolate chip doesn't make

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Speaker 1: you do that. I don't know what kind of alcohol

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Speaker 1: that is. What it ain't tequila, you know, Allison set

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Speaker 1: this up as I've got something totally different that to

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Speaker 1: me sounds like everybody that's done crystal meth I've ever

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Speaker 1: met in my entire life. Fair enough, Nige, who is

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Speaker 1: a cartoon character you would like to have a beer with?

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Speaker 1: Winnie the Pooh.

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Speaker 15: When touch the ground puts me in the mood, un

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Speaker 15: touch the gone in the mood full of.

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Speaker 1: Food, I'm want to change my answer to let.

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Speaker 3: Me tell you something with Winnie the Pooh at my age,

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Speaker 3: zero drama, zero pressure. Like I couldn't go to out

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Speaker 3: with Peter Griffin base because my anxiety level would be

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Speaker 3: so high because I don't specifically know what he's going

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Speaker 3: to do or what he's capable of. I couldn't drink

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Speaker 3: myself into enough of a into a place where I

440
00:22:47,920 --> 00:22:49,240
Speaker 3: would be relaxed with Peter Griffin.

441
00:22:49,240 --> 00:22:52,600
Speaker 11: But understand, when understand you're hanging out with a bear

442
00:22:53,359 --> 00:22:56,320
Speaker 11: and who has an affinity for honey, and at some point,

443
00:22:56,359 --> 00:22:58,840
Speaker 11: if you're drinking that guy the way you should be

444
00:22:58,920 --> 00:23:01,040
Speaker 11: drinking with him, you may find out why they call

445
00:23:01,080 --> 00:23:02,320
Speaker 11: it Winny the Pooh, and I don't think.

446
00:23:02,240 --> 00:23:03,080
Speaker 1: You want that part.

447
00:23:03,920 --> 00:23:07,440
Speaker 3: And he's not wearing pants. He's not wearing any pants either.

448
00:23:07,640 --> 00:23:10,119
Speaker 3: The other selfish reason you have the pants thing. I mean,

449
00:23:10,119 --> 00:23:13,480
Speaker 3: it's a bear bears, the wear bear. But he wouldn't rush.

450
00:23:13,520 --> 00:23:14,960
Speaker 3: I feel like he'd have one or two beers and

451
00:23:15,000 --> 00:23:15,800
Speaker 3: he could drive home.

452
00:23:16,600 --> 00:23:19,120
Speaker 14: I thought you'd have good life advice for you too.

453
00:23:19,640 --> 00:23:20,440
Speaker 1: He's got some.

454
00:23:20,560 --> 00:23:24,679
Speaker 3: Yeah, he drops those quiet wisdom bombs on you for sure.

455
00:23:25,520 --> 00:23:26,440
Speaker 1: Yeah, I'd learn a.

456
00:23:26,400 --> 00:23:29,200
Speaker 11: Lot the pool to take me to the Griffin and

457
00:23:29,240 --> 00:23:30,879
Speaker 11: you can have Winny the Pooh.

458
00:23:31,400 --> 00:23:34,520
Speaker 1: Okay, Hammer, I just want to know why he puts

459
00:23:34,640 --> 00:23:37,359
Speaker 1: up with e Or's crap all the time. Like e

460
00:23:37,600 --> 00:23:40,200
Speaker 1: Or is such a Debbie Downer. It's like Kevin todd

461
00:23:40,280 --> 00:23:41,040
Speaker 1: Meyer around you.

462
00:23:41,160 --> 00:23:41,800
Speaker 12: All the time.

463
00:23:43,040 --> 00:23:46,160
Speaker 1: Boy, inside joke, Here a little shot at todd Meyer.

464
00:23:46,240 --> 00:23:50,280
Speaker 1: We love todd all right. How about you cartoon character

465
00:23:50,400 --> 00:23:52,640
Speaker 1: you would want to have a drink with, Well, I'm

466
00:23:52,640 --> 00:23:54,760
Speaker 1: gonna have to tell you to stay home on this one,

467
00:23:54,840 --> 00:23:58,399
Speaker 1: because if your anxiety gets high with the Genie and

468
00:23:58,400 --> 00:24:01,600
Speaker 1: Peter Griffin, you sure as hell don't want to hang

469
00:24:01,640 --> 00:24:04,480
Speaker 1: out When I get a few whiskey shots, in Yosemite,

470
00:24:04,520 --> 00:24:16,320
Speaker 1: Sam Livered moll Leather ideas, you better know who you're

471
00:24:16,440 --> 00:24:32,120
Speaker 1: dealing with. Like, that's just me in cartoon form. That's

472
00:24:32,160 --> 00:24:36,439
Speaker 1: all that is, just a few whiskey shots into me.

473
00:24:36,760 --> 00:24:38,560
Speaker 1: And that's me in cartoon form.

474
00:24:38,840 --> 00:24:40,880
Speaker 3: No Is Ham're gonna pull out his gun this time

475
00:24:40,880 --> 00:24:41,760
Speaker 3: when we go out drinking.

476
00:24:41,800 --> 00:24:43,840
Speaker 1: I couldn't put how many six shooters does he have

477
00:24:43,920 --> 00:24:46,240
Speaker 1: on them? I don't want to know. Like take yesterday

478
00:24:46,320 --> 00:24:48,119
Speaker 1: was the first day of March Madness. One of my

479
00:24:48,160 --> 00:24:51,719
Speaker 1: bets was a first half under total. There was a

480
00:24:51,840 --> 00:24:55,200
Speaker 1: foul in the first half Withero point three seconds left,

481
00:24:55,480 --> 00:24:59,000
Speaker 1: the forced free throws that got the total over Like

482
00:24:59,119 --> 00:25:08,280
Speaker 1: in my mind, I sounded exactly like this. That was

483
00:25:08,359 --> 00:25:11,600
Speaker 1: me when I saw the point three seconds left that

484
00:25:11,720 --> 00:25:13,240
Speaker 1: made the total go over base.

485
00:25:13,680 --> 00:25:16,760
Speaker 11: That's amazing. That would make me, That would make me

486
00:25:16,800 --> 00:25:19,200
Speaker 11: get just as upset. I understand that that's awesome.

487
00:25:20,440 --> 00:25:25,000
Speaker 1: On the YouTube chat here, uh Randy Marsh from South Park,

488
00:25:25,720 --> 00:25:29,480
Speaker 1: that would be a good one. Okay, we've got Quagmire

489
00:25:29,760 --> 00:25:32,560
Speaker 1: from Family Guy. So if you've gotter, bring Peter Griffin.

490
00:25:32,560 --> 00:25:34,240
Speaker 1: I think maybe you have a drink with Quagmire.

491
00:25:34,400 --> 00:25:36,400
Speaker 11: I was gonna say whoever has had the clam I'm

492
00:25:36,440 --> 00:25:36,840
Speaker 11: down with that.

493
00:25:37,880 --> 00:25:40,880
Speaker 1: Just that, just that, that booth, I'm down with. Uh,

494
00:25:40,920 --> 00:25:44,080
Speaker 1: this is a good one, Brad Wiley coyote, because I

495
00:25:44,080 --> 00:25:46,720
Speaker 1: bet he's got some war stories. It's like sitting down

496
00:25:46,760 --> 00:25:51,000
Speaker 1: with a Vietnam vet man. You're gonna hear some stuff. Right,

497
00:25:51,040 --> 00:25:53,880
Speaker 1: He's seen some things, doesn't would you get?

498
00:25:53,880 --> 00:25:55,959
Speaker 11: Would you get the normal wily coyote or like the

499
00:25:56,000 --> 00:25:58,720
Speaker 11: accordion style that's walking it out of the bar ready

500
00:25:58,720 --> 00:25:59,840
Speaker 11: to lay it on you.

501
00:26:00,400 --> 00:26:02,800
Speaker 1: Like when he sees something that has act ME on it.

502
00:26:02,840 --> 00:26:05,400
Speaker 1: He has to get PTSD right like I would think.

503
00:26:05,440 --> 00:26:08,680
Speaker 1: So that damn ACME company has just been shoving him

504
00:26:08,720 --> 00:26:14,480
Speaker 1: off of a cliff for years, yes, and exploding on him.

505
00:26:14,520 --> 00:26:16,919
Speaker 1: All right. So if somebody wants to jump into conversation

506
00:26:17,040 --> 00:26:21,199
Speaker 1: here go to Hammer and Nigel, Facebook, Twitter, Instagram and

507
00:26:21,280 --> 00:26:25,280
Speaker 1: the WIBC YouTube chat. But if you want more barguments

508
00:26:25,359 --> 00:26:26,320
Speaker 1: based where can they go?

509
00:26:26,920 --> 00:26:30,560
Speaker 11: YouTube for the visual podcast, Apple all the other places

510
00:26:30,600 --> 00:26:32,320
Speaker 11: that you download your podcast for the audio.

511
00:26:32,680 --> 00:26:34,160
Speaker 1: And we have a Facebook groove.

512
00:26:33,920 --> 00:26:36,040
Speaker 11: That is barguing all day, all night.

513
00:26:36,280 --> 00:26:37,640
Speaker 1: Enjoy it. Jump on with us.

514
00:26:38,080 --> 00:26:40,240
Speaker 11: We always love a good bargainment and we like to

515
00:26:40,280 --> 00:26:42,439
Speaker 11: just kill time at work. So join us over there

516
00:26:42,480 --> 00:26:44,399
Speaker 11: on the Facebook chat as well, and gentlemen, we'll do

517
00:26:44,440 --> 00:26:44,960
Speaker 11: it again.

518
00:26:44,760 --> 00:26:47,560
Speaker 1: Next week, my man. Thank you. Let you guys. Speaking

519
00:26:47,640 --> 00:26:50,400
Speaker 1: of being out on things, Nige friend of the show

520
00:26:50,480 --> 00:26:54,640
Speaker 1: Bill O'Reilly Yes, went on News Nation and says that

521
00:26:55,040 --> 00:26:59,480
Speaker 1: Tulsi Gabbert will be the next person out of the

522
00:26:59,480 --> 00:27:01,639
Speaker 1: Trump administration. Tell me if you buy this.

523
00:27:02,480 --> 00:27:06,600
Speaker 16: I don't particularly care about Tolsey Gabbert and whatever she's doing.

524
00:27:07,760 --> 00:27:10,600
Speaker 16: I know that she has a title there, but I

525
00:27:10,640 --> 00:27:15,040
Speaker 16: also know she was not involved with the Iranian situation

526
00:27:15,240 --> 00:27:19,879
Speaker 16: at all. Radcliffe the CIA run that show. The reason

527
00:27:19,920 --> 00:27:24,880
Speaker 16: that Miss Gabbert was not involved was she opposed Venezuela. Yeah,

528
00:27:25,000 --> 00:27:30,200
Speaker 16: she opposed going in and removing Maduro. When she did that,

529
00:27:30,240 --> 00:27:34,240
Speaker 16: she lost all credibility with Donald Trump. Now why she's

530
00:27:34,240 --> 00:27:37,040
Speaker 16: still there, I don't know. She won't be there much longer.

531
00:27:37,640 --> 00:27:40,399
Speaker 16: And that DNA, it doesn't have any power right now

532
00:27:40,760 --> 00:27:42,119
Speaker 16: in the Iranian situation.

533
00:27:43,119 --> 00:27:44,600
Speaker 3: When he said d and I that's a director of

534
00:27:44,640 --> 00:27:47,840
Speaker 3: National Intelligence. That's her job title under job Donald Trump,

535
00:27:47,880 --> 00:27:51,480
Speaker 3: I absolutely buy it. He's absolutely right. She even before

536
00:27:51,600 --> 00:27:54,399
Speaker 3: she became part of the administration, she was staunchly anti

537
00:27:54,440 --> 00:27:59,320
Speaker 3: war anything anywhere anytime, almost non interventionist. And she was

538
00:27:59,359 --> 00:28:01,920
Speaker 3: just in front of a maybe hearing they were asking

539
00:28:01,960 --> 00:28:04,240
Speaker 3: her about Iran. She would not come out and say

540
00:28:04,240 --> 00:28:06,399
Speaker 3: that she was against the war in Iran, but she

541
00:28:06,400 --> 00:28:08,800
Speaker 3: would just simply say that it's up to Donald Trump.

542
00:28:08,840 --> 00:28:10,840
Speaker 1: It's up to the president. So, yeah, that makes sense

543
00:28:10,880 --> 00:28:14,560
Speaker 1: to me. And I think though she's been incredibly professional,

544
00:28:14,800 --> 00:28:17,960
Speaker 1: she's not letting her personal feelings get in the way

545
00:28:18,200 --> 00:28:22,280
Speaker 1: of the department, right because she testified in Washington and

546
00:28:22,320 --> 00:28:24,879
Speaker 1: she's getting a lot of these questions, how do you feel?

547
00:28:24,960 --> 00:28:28,600
Speaker 1: What do you think her thoughts and feelings are irrelevant here?

548
00:28:28,640 --> 00:28:31,960
Speaker 1: It doesn't matter, right, Yeah, your job is to speak

549
00:28:32,000 --> 00:28:37,240
Speaker 1: on behalf of the Departments of National Intelligence. And I

550
00:28:37,240 --> 00:28:41,080
Speaker 1: think it's because of her military training, her discipline. She

551
00:28:41,120 --> 00:28:43,760
Speaker 1: doesn't take that type of bait. So just because she

552
00:28:43,800 --> 00:28:46,840
Speaker 1: doesn't come out and be a cheerleader per se. And

553
00:28:46,880 --> 00:28:49,640
Speaker 1: I do think there may be a little disconnect between

554
00:28:49,680 --> 00:28:52,560
Speaker 1: her and Donald Trump too, doesn't mean that I think

555
00:28:52,560 --> 00:28:56,840
Speaker 1: she's in danger. Though I love her professionalism, she doesn't

556
00:28:56,880 --> 00:28:59,960
Speaker 1: let personal feelings, I think, interfere with the job.

557
00:29:00,040 --> 00:29:02,040
Speaker 3: It's either going to be a resignation or a firing,

558
00:29:02,400 --> 00:29:05,560
Speaker 3: though I will bet here in the next couple of

559
00:29:05,600 --> 00:29:08,200
Speaker 3: weeks she's gone Hammer and Nigel.

560
00:29:08,280 --> 00:29:10,080
Speaker 1: Do you believe these characters are weirdos?

561
00:29:10,760 --> 00:29:18,160
Speaker 3: Let Well Hammer Unlike hypocrite Democrats, GOP Rep Lauren Bobert

562
00:29:18,160 --> 00:29:22,960
Speaker 3: out of Colorado says she's voting no on two hundred

563
00:29:23,040 --> 00:29:27,920
Speaker 3: billion dollars in additional funding for the Iran war. The

564
00:29:28,000 --> 00:29:31,560
Speaker 3: reason why I say hypocrite Democrats is because they're all saying, no,

565
00:29:31,600 --> 00:29:33,560
Speaker 3: we're not going to vote for this either. No more

566
00:29:33,560 --> 00:29:36,720
Speaker 3: two hundred billion dollars. What were they voting for like

567
00:29:36,840 --> 00:29:41,040
Speaker 3: last year, oh year before, twenty two, twenty three, twenty four.

568
00:29:41,760 --> 00:29:45,880
Speaker 1: Tons of Ukraine money? Oh there it is, couldn't give

569
00:29:46,000 --> 00:29:46,720
Speaker 1: enough to Ukraine.

570
00:29:46,840 --> 00:29:49,840
Speaker 3: Lauren Bobert at least voted no across the board in

571
00:29:49,880 --> 00:29:51,280
Speaker 3: each one of these situations.

572
00:29:51,520 --> 00:29:54,200
Speaker 1: Here is the representative from Colorado.

573
00:29:54,800 --> 00:29:56,920
Speaker 17: I will not vote for a war supplemental No.

574
00:29:57,160 --> 00:29:57,520
Speaker 1: I am a no.

575
00:29:57,800 --> 00:29:59,920
Speaker 17: I've already told leadership I am a no on an

576
00:30:00,080 --> 00:30:00,960
Speaker 17: wars level mentals.

577
00:30:01,360 --> 00:30:02,920
Speaker 9: I am so tired of.

578
00:30:02,840 --> 00:30:07,040
Speaker 17: Spending money elsewhere. I am tired of the industrial war

579
00:30:07,080 --> 00:30:10,160
Speaker 17: complex getting all of our hard earned tax dollars. I

580
00:30:10,240 --> 00:30:13,120
Speaker 17: have folks in Colorado who can't afford to live. We

581
00:30:13,120 --> 00:30:17,640
Speaker 17: need America First policies right now, and that I'm not

582
00:30:17,720 --> 00:30:22,000
Speaker 17: doing that. We need to save America Act FISA with warrants.

583
00:30:22,680 --> 00:30:24,760
Speaker 17: There's a lot of hardlines that I have right now,

584
00:30:24,840 --> 00:30:27,080
Speaker 17: and we've got to get our act together if we

585
00:30:27,160 --> 00:30:30,160
Speaker 17: want to keep this majority. And the path that we're

586
00:30:30,160 --> 00:30:32,000
Speaker 17: going doesn't look very promising.

587
00:30:32,600 --> 00:30:35,600
Speaker 1: We had a piss Trump off something awful on't it.

588
00:30:36,120 --> 00:30:39,440
Speaker 1: She's just a few minutes away from a truth social post.

589
00:30:39,480 --> 00:30:42,760
Speaker 1: I feel like I don't think she's too worried about it, though.

590
00:30:42,800 --> 00:30:45,360
Speaker 3: And whether you're not for the war and I ran

591
00:30:45,400 --> 00:30:49,920
Speaker 3: where you are or the war, two hundred million dollars

592
00:30:50,200 --> 00:30:54,240
Speaker 3: when TSA isn't getting paid and the DHS isn't getting

593
00:30:54,280 --> 00:30:58,560
Speaker 3: funded seems a rather big ask right now.

594
00:30:59,400 --> 00:31:03,640
Speaker 1: It does. But also how budgets work. You know, the

595
00:31:03,680 --> 00:31:08,400
Speaker 1: military had their budget approved. Now they're asking for more money.

596
00:31:08,960 --> 00:31:13,040
Speaker 1: But I think in terms of national security certain things

597
00:31:13,040 --> 00:31:16,760
Speaker 1: would run precedents. You just have to convince people that

598
00:31:16,800 --> 00:31:21,400
Speaker 1: this is indeed for national security. Do you believe Iran

599
00:31:21,840 --> 00:31:25,400
Speaker 1: is an imminent threat to the safety of Americans and

600
00:31:25,440 --> 00:31:30,320
Speaker 1: our soldiers overseas or do you think it's not. That's

601
00:31:30,320 --> 00:31:32,719
Speaker 1: what it's going to come down to. And there's some

602
00:31:32,800 --> 00:31:37,160
Speaker 1: Republicans you heard right there, Lauren Bobert, who is to

603
00:31:37,200 --> 00:31:40,680
Speaker 1: her credit, been pretty consistent on no money for wars.

604
00:31:41,640 --> 00:31:45,720
Speaker 1: But what if you told her this is for national

605
00:31:45,760 --> 00:31:49,760
Speaker 1: security and we're trying to end a forever war by

606
00:31:49,800 --> 00:31:50,960
Speaker 1: having it right now, and.

607
00:31:50,920 --> 00:31:54,320
Speaker 3: Then her counter again would be exactly what she said

608
00:31:54,320 --> 00:31:57,400
Speaker 3: in that clip. I know that you just explained it, like, well, look,

609
00:31:57,440 --> 00:32:00,200
Speaker 3: this is an existential threat to the United States. But

610
00:32:00,760 --> 00:32:03,240
Speaker 3: her counter argument would be, we have people in the

611
00:32:03,320 --> 00:32:06,160
Speaker 3: United States right now that I aren't making money, that

612
00:32:06,200 --> 00:32:08,880
Speaker 3: are working and aren't getting a paycheck. Right at my

613
00:32:08,960 --> 00:32:13,840
Speaker 3: constituency in Colorado could barely make it. So let's concentrate

614
00:32:14,040 --> 00:32:17,240
Speaker 3: on making America greg great again. And that's what Donald

615
00:32:17,280 --> 00:32:19,160
Speaker 3: Trump will tell you he's trying to do when I ran,

616
00:32:20,120 --> 00:32:23,960
Speaker 3: he's saving America and trying to protect us.

617
00:32:24,520 --> 00:32:28,480
Speaker 1: So when Pete Hexath and Raising Cain the General have

618
00:32:28,560 --> 00:32:31,800
Speaker 1: their press briefings in the mornings, I'm wondering if they're

619
00:32:31,840 --> 00:32:34,240
Speaker 1: going to have to start to make that pivot of

620
00:32:34,480 --> 00:32:38,960
Speaker 1: reminding people why this is important. Because the more this

621
00:32:39,040 --> 00:32:42,880
Speaker 1: thing drags on, sometimes you have to remind folks why

622
00:32:43,200 --> 00:32:48,400
Speaker 1: it's happening now. Pete Hexath at a recent briefing asks

623
00:32:49,080 --> 00:32:53,400
Speaker 1: everybody to pray for the servicemen and women and actually

624
00:32:53,440 --> 00:32:57,520
Speaker 1: went into prayer, and for whatever reason, that got Margaret

625
00:32:57,560 --> 00:33:03,440
Speaker 1: Brennan incredibly butt hurt. Brennan is the host on CBS

626
00:33:03,440 --> 00:33:09,000
Speaker 1: News Face the Nation. Just an unlikable shrew, and I

627
00:33:09,040 --> 00:33:14,840
Speaker 1: hate myself, absolutely can't live with myself that I'd probably

628
00:33:14,840 --> 00:33:19,920
Speaker 1: take her to poundtown. I just she's an attractive, professional

629
00:33:20,000 --> 00:33:23,640
Speaker 1: woman and I have absolutely zero in common with her,

630
00:33:24,080 --> 00:33:29,240
Speaker 1: and I would hate myself in the morning. But they

631
00:33:29,320 --> 00:33:32,920
Speaker 1: can't all be tense. So for whatever reason, she put

632
00:33:32,960 --> 00:33:37,920
Speaker 1: out some weird tweet after Pete Hegsath did the prayer. Now,

633
00:33:37,960 --> 00:33:41,000
Speaker 1: I'm going to play you the prayer first, and then

634
00:33:41,080 --> 00:33:43,640
Speaker 1: I'll tell you what Old Mag's put on Twitter.

635
00:33:44,440 --> 00:33:47,640
Speaker 18: May Almighty God continue to bless our troops in this fight.

636
00:33:48,400 --> 00:33:51,280
Speaker 18: And again, to the American people, please pray for them

637
00:33:51,320 --> 00:33:57,160
Speaker 18: every day on bendin d with your family, in your schools,

638
00:33:57,960 --> 00:34:01,280
Speaker 18: in your churches, in the name of Jesus Christ.

639
00:34:02,200 --> 00:34:07,760
Speaker 1: To the troops, keep going in God's speed. I don't

640
00:34:07,800 --> 00:34:10,799
Speaker 1: think there's anything really controversial about that.

641
00:34:11,239 --> 00:34:13,759
Speaker 3: Joe Biden would at the end of every speech would

642
00:34:13,760 --> 00:34:14,880
Speaker 3: say God bless our troops.

643
00:34:15,280 --> 00:34:19,560
Speaker 1: Believe so, Margaret Brennan goes on her Twitter account and

644
00:34:19,680 --> 00:34:24,520
Speaker 1: just puts this very vague post out quote. The Secretary

645
00:34:24,560 --> 00:34:28,319
Speaker 1: of Defense just told the American public to pray for

646
00:34:28,400 --> 00:34:32,480
Speaker 1: our troops on Ben de Nee and invoked Jesus's name

647
00:34:33,040 --> 00:34:38,360
Speaker 1: dot Dot's. I think that she's mocking, No question, she's mocking.

648
00:34:38,680 --> 00:34:40,960
Speaker 1: That's what people on social media took because she was

649
00:34:40,960 --> 00:34:43,960
Speaker 1: getting just buried in the comments.

650
00:34:44,000 --> 00:34:48,200
Speaker 3: Mocking Christianity out in the open in general. If these

651
00:34:48,200 --> 00:34:51,600
Speaker 3: people say this in the open on social media, what

652
00:34:51,680 --> 00:34:54,880
Speaker 3: do you think they're saying about us, at people that

653
00:34:55,600 --> 00:35:01,520
Speaker 3: believe in what Pete Hegsith is saying people believe in

654
00:35:01,640 --> 00:35:03,920
Speaker 3: general about religion? What do you think they're saying behind

655
00:35:03,960 --> 00:35:05,120
Speaker 3: closed doors?

656
00:35:05,560 --> 00:35:05,719
Speaker 1: Right?

657
00:35:05,719 --> 00:35:09,760
Speaker 3: I mean, if she's saying, if she's intimating and making

658
00:35:09,760 --> 00:35:15,400
Speaker 3: these vague, mocking posts in the open, oh good lord,

659
00:35:15,480 --> 00:35:18,799
Speaker 3: what do you think these people are saying behind the

660
00:35:18,880 --> 00:35:19,560
Speaker 3: glass door?

661
00:35:20,080 --> 00:35:25,640
Speaker 1: Oh man, basically laughing at Pete Hegzith for putting faith

662
00:35:25,719 --> 00:35:27,759
Speaker 1: out there. I mean, that's what she was doing. She

663
00:35:27,840 --> 00:35:30,919
Speaker 1: was laughing, she was mocking. That's how most people took

664
00:35:30,920 --> 00:35:34,400
Speaker 1: it on Twitter, and again, I believe the kids call

665
00:35:34,440 --> 00:35:38,200
Speaker 1: it getting ratioed. That's what happened to that tweet from

666
00:35:38,280 --> 00:35:43,560
Speaker 1: old Mags. If you need another reason to drink tonight night,

667
00:35:44,320 --> 00:35:48,000
Speaker 1: If the fact that it's a beautiful seventy degree Friday

668
00:35:48,080 --> 00:35:51,560
Speaker 1: night in Indianapolis isn't enough, are you playing tonight? Perdue?

669
00:35:51,560 --> 00:35:55,640
Speaker 1: Playing tonight? Right around seven point thirty today would have

670
00:35:55,719 --> 00:35:58,760
Speaker 1: been the fiftieth birthday of Chester Bennington.

671
00:35:59,000 --> 00:36:04,279
Speaker 3: Oh gone too soon, incredibly talented lead singer of Lincoln Park.

672
00:36:04,400 --> 00:36:08,120
Speaker 1: Right, yes, what have been fifty today? Now he's been

673
00:36:08,239 --> 00:36:11,520
Speaker 1: gone for a number of years. Took his own life,

674
00:36:12,120 --> 00:36:13,319
Speaker 1: but he.

675
00:36:13,680 --> 00:36:17,279
Speaker 3: Was severely abused growing up as a kid and had

676
00:36:17,320 --> 00:36:19,640
Speaker 3: a drug problem as a result of that, had gotten

677
00:36:19,680 --> 00:36:23,120
Speaker 3: clean and sober and then boy who knows?

678
00:36:23,320 --> 00:36:25,640
Speaker 1: You know, mental illness is what you know? Kick the

679
00:36:25,680 --> 00:36:29,200
Speaker 1: stigma man? Right it was. It's a tragedy. And I

680
00:36:29,200 --> 00:36:32,640
Speaker 1: feel like Lincoln Park kind of took a hiatus for

681
00:36:32,680 --> 00:36:36,440
Speaker 1: a while and now they're back. They've added a female

682
00:36:36,640 --> 00:36:39,480
Speaker 1: yes to the vocals, and she's pretty good. I have

683
00:36:39,520 --> 00:36:44,120
Speaker 1: that high register yeah like Chester did. Yeah, she's really good.

684
00:36:44,160 --> 00:36:47,719
Speaker 1: Now is it what Chester used to do? Probably not?

685
00:36:48,080 --> 00:36:50,760
Speaker 1: Right but I think Lincoln Park is still a really

686
00:36:50,920 --> 00:36:53,319
Speaker 1: good band, and that chick they brought in adds a

687
00:36:53,360 --> 00:36:55,640
Speaker 1: lot to them. But we're gonna play a little game

688
00:36:55,680 --> 00:36:57,600
Speaker 1: here because Nice, I know you would know all of

689
00:36:57,640 --> 00:36:59,279
Speaker 1: these songs. You probably used to play them all on

690
00:36:59,320 --> 00:37:02,520
Speaker 1: the radio. But Alison, I don't know how much Lincoln

691
00:37:02,560 --> 00:37:05,400
Speaker 1: Park you listen to in your life. I've got a

692
00:37:05,520 --> 00:37:09,520
Speaker 1: six song montage here. These are all hits from Lincoln Park.

693
00:37:10,120 --> 00:37:12,920
Speaker 1: And I already know that Allison's gonna think all these

694
00:37:12,920 --> 00:37:17,680
Speaker 1: songs sound the same. But six song montage. I've set

695
00:37:17,719 --> 00:37:20,759
Speaker 1: the over under at four and a half night, I'm

696
00:37:20,760 --> 00:37:23,000
Speaker 1: going under under four and a half.

697
00:37:23,120 --> 00:37:27,759
Speaker 3: Yeah, I've done the over the past few times with

698
00:37:27,960 --> 00:37:30,440
Speaker 3: you on contest like these, and I think I'm gonna

699
00:37:30,680 --> 00:37:31,759
Speaker 3: try the end of this time.

700
00:37:31,920 --> 00:37:34,520
Speaker 14: Okay, okay, it's doing a little more confident this time.

701
00:37:34,480 --> 00:37:38,600
Speaker 1: Hotter system as always. As long as Alison has just

702
00:37:38,760 --> 00:37:42,360
Speaker 1: heard of the song, let us know. Okay, here we go.

703
00:37:45,320 --> 00:37:45,839
Speaker 2: In the end.

704
00:37:45,880 --> 00:37:50,640
Speaker 3: There's one two.

705
00:37:59,120 --> 00:38:06,880
Speaker 1: Yes, I don't think she'd get that one free.

706
00:38:09,200 --> 00:38:09,640
Speaker 9: I don't know.

707
00:38:10,160 --> 00:38:27,279
Speaker 1: That's a note somewhere I belong, Yes, so under.

708
00:38:28,760 --> 00:38:32,520
Speaker 14: Under by the hook, oh man, that stupid hook.

709
00:38:32,880 --> 00:38:36,279
Speaker 3: Oh got her Daddy wins.

710
00:38:35,440 --> 00:38:41,320
Speaker 1: Big Nidge right there. So at this point, every Friday

711
00:38:41,560 --> 00:38:44,760
Speaker 1: producer Alison is kind enough to take some various sound

712
00:38:44,800 --> 00:38:48,360
Speaker 1: bites of the week and put them together in a

713
00:38:48,440 --> 00:38:53,080
Speaker 1: lovely montage format, and there's no context to it whatsoever.

714
00:38:53,200 --> 00:38:54,000
Speaker 1: I cringe.

715
00:38:54,400 --> 00:38:57,680
Speaker 3: I'm cringing every time around this week Alison hit it.

716
00:38:58,120 --> 00:39:00,480
Speaker 3: Mike Pence used to sit in this chair. He's fart

717
00:39:00,480 --> 00:39:02,520
Speaker 3: in that chair. He did right directly into it.

718
00:39:02,560 --> 00:39:04,800
Speaker 1: I bet absolutely he got a few pences loose in

719
00:39:04,880 --> 00:39:10,400
Speaker 1: that bad boy. It was a mixture of somebody doing

720
00:39:10,440 --> 00:39:12,960
Speaker 1: the worm yes and dry humping.

721
00:39:12,680 --> 00:39:17,480
Speaker 3: A floor all about the Benjamins, because they kids like

722
00:39:17,520 --> 00:39:19,000
Speaker 3: to say, yes, if.

723
00:39:18,840 --> 00:39:21,879
Speaker 1: You don't like the weather in Indiana, go to hell.

724
00:39:23,560 --> 00:39:25,840
Speaker 1: Because my head was much larger than my body.

725
00:39:26,880 --> 00:39:31,240
Speaker 3: Fort Wayne, Indiana, yellow, big fat, gross gravy snorting pigs

726
00:39:31,320 --> 00:39:35,160
Speaker 3: up there. That one tsa ages didn't stop till he

727
00:39:35,200 --> 00:39:38,440
Speaker 3: got the back of your teeth, not at all. Smells

728
00:39:38,560 --> 00:39:40,799
Speaker 3: like the inside of a fake lag.

729
00:39:42,640 --> 00:39:42,759
Speaker 12: Like.

730
00:39:42,840 --> 00:39:45,279
Speaker 1: I still have a hard time with the ponderosa being

731
00:39:45,280 --> 00:39:48,600
Speaker 1: gone and pech grow. Fat guys and old people are

732
00:39:48,640 --> 00:39:52,400
Speaker 1: going to be very, very disturbed. I've never heard the

733
00:39:52,440 --> 00:39:55,560
Speaker 1: word micro penis so much in all my life? What

734
00:39:55,600 --> 00:39:58,799
Speaker 1: the hell's going on here? And maybe I guess I'm

735
00:39:58,800 --> 00:40:02,319
Speaker 1: watching the view then without any paint. Oh, a couple

736
00:40:02,320 --> 00:40:04,480
Speaker 1: of years into the job, you're eating the baloney sandwich

737
00:40:04,480 --> 00:40:08,839
Speaker 1: on top of a course right now? Who's going to hell?

738
00:40:09,800 --> 00:40:10,000
Speaker 2: There?

739
00:40:10,040 --> 00:40:13,440
Speaker 1: It is the out of context Week in Review by

740
00:40:13,480 --> 00:40:15,120
Speaker 1: producer Alison Bravo.

741
00:40:16,400 --> 00:40:26,359
Speaker 19: Presents it depends upon what the meaning of the word is.

742
00:40:26,360 --> 00:40:28,880
Speaker 1: Is this anything.

743
00:40:30,000 --> 00:40:30,040
Speaker 6: You?

744
00:40:30,120 --> 00:40:33,760
Speaker 3: By Indiana Unclaimed, a program presented by the Attorney General's

745
00:40:33,840 --> 00:40:37,560
Speaker 3: Office reuniting Hoosiers with over one million dollars in unclaimed

746
00:40:37,600 --> 00:40:40,400
Speaker 3: property every single week, fast, easy and free to search

747
00:40:40,560 --> 00:40:42,400
Speaker 3: Indiana Unclaimed dot gov.

748
00:40:43,320 --> 00:40:48,799
Speaker 1: Is this anything? ABC has pulled the plug on the

749
00:40:48,960 --> 00:40:52,560
Speaker 1: new season of The Bachelorette, or, as I have always

750
00:40:52,640 --> 00:40:57,320
Speaker 1: dubbed it, the Horror Olympics. There will be no Horror

751
00:40:57,320 --> 00:40:59,000
Speaker 1: Olympics this year on ABC.

752
00:40:59,280 --> 00:41:02,800
Speaker 3: Aim uh wait, Dary taped it though, right, Yeah, they taped.

753
00:41:02,560 --> 00:41:04,160
Speaker 1: It, and they're not going to use it. They're just

754
00:41:04,200 --> 00:41:09,600
Speaker 1: gonna take the loss. I guess. The star Taylor Frankie

755
00:41:09,719 --> 00:41:15,240
Speaker 1: Paul assaulted her then boyfriend. Here's audio from the first

756
00:41:15,239 --> 00:41:17,680
Speaker 1: part of a video. I've seen the video. It's kind

757
00:41:17,680 --> 00:41:20,640
Speaker 1: of disturbing. She's grabbing his head and throwing a metal,

758
00:41:20,760 --> 00:41:26,520
Speaker 1: metal barstool at it. Yeah, yeah, look at you look

759
00:41:26,840 --> 00:41:32,120
Speaker 1: physical abuse, See, Taylor, this is all you do. It's

760
00:41:32,200 --> 00:41:33,560
Speaker 1: the only thing you know how to do.

761
00:41:33,600 --> 00:41:35,160
Speaker 2: Is hurt me. Huh.

762
00:41:35,200 --> 00:41:37,600
Speaker 1: And you think this is okay, It is.

763
00:41:37,600 --> 00:41:44,399
Speaker 19: Not okay, okay, let me go, stop, dude.

764
00:41:44,160 --> 00:41:50,279
Speaker 1: Leave me alone. Oh my god, your daughter is great here.

765
00:41:51,360 --> 00:41:53,040
Speaker 3: Yeah, I mean.

766
00:41:53,440 --> 00:41:54,360
Speaker 1: Look, you get it.

767
00:41:54,400 --> 00:41:57,719
Speaker 3: Listen, this is something for sure, and it's probably a

768
00:41:57,760 --> 00:42:00,280
Speaker 3: good idea on ABC's part to pull the show. She's

769
00:42:00,280 --> 00:42:05,520
Speaker 3: psycho and she's being investigated currently for another domestic abuse situation.

770
00:42:05,800 --> 00:42:07,879
Speaker 3: And you watch that video of the clip we were

771
00:42:07,920 --> 00:42:10,640
Speaker 3: just playing. Her daughter's in the background. She starts crying.

772
00:42:10,680 --> 00:42:12,719
Speaker 3: We didn't play any of that. It's a little disturbing.

773
00:42:12,960 --> 00:42:14,600
Speaker 3: At least when Tommy cats to a chair.

774
00:42:14,640 --> 00:42:18,360
Speaker 1: There wasn't any kids around, because he's got class in dignity.

775
00:42:18,440 --> 00:42:22,960
Speaker 3: That's why, yeah, don't throw stuff at their kids around. So,

776
00:42:23,920 --> 00:42:26,560
Speaker 3: now what we've done here at the Hammer Nigel shows,

777
00:42:26,640 --> 00:42:31,240
Speaker 3: we've produced a new reality show to replace this season

778
00:42:31,440 --> 00:42:36,520
Speaker 3: of the Bachelorette. Now that ABC has pulled the plug

779
00:42:36,640 --> 00:42:40,160
Speaker 3: on an entire season of the Bachelorette, don't miss their

780
00:42:40,239 --> 00:42:44,960
Speaker 3: replacement show from Hammery Nigel Productions. It's called Dodgeeda Bullet.

781
00:42:45,880 --> 00:42:48,960
Speaker 3: That's where all of the hunky bachelors who had a

782
00:42:49,040 --> 00:42:52,040
Speaker 3: chance to end up with Taylor Frankie Paul sit around

783
00:42:52,360 --> 00:42:54,680
Speaker 3: watching the episodes and making comments.

784
00:42:55,440 --> 00:42:58,719
Speaker 1: She's a gentle and sweet unless you cuss her off.

785
00:42:59,200 --> 00:43:01,319
Speaker 1: I'm not supposed to say anything, but I was one

786
00:43:01,360 --> 00:43:05,080
Speaker 1: of the final guys man glad I Dodged that Bullet.

787
00:43:06,160 --> 00:43:09,600
Speaker 3: Bullet premire on Sunday Night on ABC from Hammery Nigel

788
00:43:09,600 --> 00:43:13,359
Speaker 3: production So if you're missing The Bachelorette, sorry, right, we've

789
00:43:13,400 --> 00:43:14,120
Speaker 3: got you wrecked.

790
00:43:14,280 --> 00:43:18,000
Speaker 1: We've got your replacement. I would watch that show and again,

791
00:43:18,120 --> 00:43:20,239
Speaker 1: moving forward, I don't want to hear it by its

792
00:43:20,239 --> 00:43:23,360
Speaker 1: proper name. You must call it the whole Olympics. Okay,

793
00:43:23,480 --> 00:43:26,600
Speaker 1: got it? Is this anything? There's a viral video of

794
00:43:26,640 --> 00:43:30,239
Speaker 1: a guy who plays guitar and his parakeet totally gets

795
00:43:30,239 --> 00:43:34,080
Speaker 1: into the lead vocals. Okay, here he is playing a

796
00:43:34,080 --> 00:44:00,799
Speaker 1: little van Halen. You really got me? Yeah? Oh there's more.

797
00:44:05,360 --> 00:44:07,920
Speaker 3: That is something. And I didn't know it was possible

798
00:44:08,000 --> 00:44:12,839
Speaker 3: for an annoying little animal or bird to sound better

799
00:44:12,880 --> 00:44:22,800
Speaker 3: than David Lee Rock. Oh that's great. Yeah, that's something

800
00:44:22,840 --> 00:44:23,239
Speaker 3: for sure.

801
00:44:23,360 --> 00:44:27,800
Speaker 1: If you told me that playing at the Vogue tonight,

802
00:44:28,320 --> 00:44:31,680
Speaker 1: there's a Van Halen cover band with a parakeet lead singer.

803
00:44:31,760 --> 00:44:36,320
Speaker 3: First in line, Take my money, take my money.

804
00:44:37,160 --> 00:44:41,560
Speaker 1: So stupid. So we're a Van Halen cover band. Our

805
00:44:41,640 --> 00:44:45,520
Speaker 1: lead singer is a parakeet. You go on stage at eight,

806
00:44:47,160 --> 00:44:49,440
Speaker 1: how do you say no to that? Like? And then

807
00:44:49,520 --> 00:44:52,360
Speaker 1: you probably have your doubts, like, well, I'm gonna go

808
00:44:52,360 --> 00:44:55,000
Speaker 1: see this novelty show. And you get up there and

809
00:44:55,040 --> 00:44:57,400
Speaker 1: the parakeets got a little bit of baby leather pants on,

810
00:44:57,640 --> 00:45:01,280
Speaker 1: and he's up there just and it's awesome.

811
00:45:01,360 --> 00:45:03,239
Speaker 3: They put like a peak mohawk on the top of

812
00:45:03,280 --> 00:45:04,279
Speaker 3: his headers, something like that.

813
00:45:04,360 --> 00:45:06,600
Speaker 1: Or maybe a bandana or whatever. David Lee Roth used

814
00:45:06,600 --> 00:45:11,279
Speaker 1: to wear a long blonde wig right with the real

815
00:45:11,360 --> 00:45:15,200
Speaker 1: tight pants. And he's kicking on stage, little little parent

816
00:45:15,280 --> 00:45:21,120
Speaker 1: feet or kicking. I'd watch the hell out of that.

817
00:45:21,200 --> 00:45:24,719
Speaker 1: You're listening to the Hammer and Nichel Show, having a

818
00:45:24,719 --> 00:45:28,960
Speaker 1: good time on a Friday, loving it, and I'm feeling

819
00:45:29,040 --> 00:45:34,399
Speaker 1: kind of loose. Beautiful weather, beautiful weather, and we are

820
00:45:34,440 --> 00:45:39,600
Speaker 1: doing some stand up comedy. Madness, the real madness is

821
00:45:39,600 --> 00:45:43,440
Speaker 1: happening in the college basketball world. Purdue. They play a

822
00:45:43,480 --> 00:45:47,240
Speaker 1: little bit later on, but right now we are taking

823
00:45:47,280 --> 00:45:49,960
Speaker 1: some of our favorite stand up comedians and they are

824
00:45:50,000 --> 00:45:54,719
Speaker 1: competing against each other each day. You, the listeners of

825
00:45:54,760 --> 00:45:57,480
Speaker 1: this little Pony show, will decide on the comedian you

826
00:45:57,560 --> 00:46:00,000
Speaker 1: want to move on. So before we get to today

827
00:46:00,120 --> 00:46:04,439
Speaker 1: his matchup, let's pick a winner from yesterday. We had

828
00:46:05,000 --> 00:46:08,760
Speaker 1: some old school guys, some guys with a little baggage. Okay,

829
00:46:08,920 --> 00:46:13,760
Speaker 1: not gonna lie. The number seven seed for his stand

830
00:46:13,840 --> 00:46:16,080
Speaker 1: up comedy only and nothing else.

831
00:46:16,520 --> 00:46:21,200
Speaker 7: Bill Cosby dentists tell you not to pick your teeth

832
00:46:22,160 --> 00:46:24,560
Speaker 7: for any sharp metal object.

833
00:46:25,520 --> 00:46:26,920
Speaker 1: Then you sit in their chair.

834
00:46:29,840 --> 00:46:32,239
Speaker 19: The first thing they grab is an iron hoop.

835
00:46:35,760 --> 00:46:38,200
Speaker 2: And they started to pick in an area that you.

836
00:46:38,160 --> 00:46:39,280
Speaker 1: Came to get fixed.

837
00:46:39,840 --> 00:46:40,840
Speaker 19: Now the Dennis.

838
00:46:40,680 --> 00:46:45,080
Speaker 1: Pulls out a needle. This is too dead in the pain.

839
00:46:47,680 --> 00:46:50,360
Speaker 1: So I believe that was from Bill Cosby himself.

840
00:46:51,120 --> 00:46:53,400
Speaker 3: One of the first stand up specials I've ever seen.

841
00:46:53,480 --> 00:46:56,560
Speaker 3: My parents let me watch. Yeah, I loved it.

842
00:46:56,920 --> 00:47:01,320
Speaker 1: And he was competing yesterday against the number ten seed

843
00:47:02,160 --> 00:47:06,839
Speaker 1: talking about his colonoscopy. Here's Robin Williams. Because when you

844
00:47:06,880 --> 00:47:09,279
Speaker 1: go to the doctor in your fifties. It's to colonoscopy.

845
00:47:09,480 --> 00:47:11,440
Speaker 19: Yes, it's a video camera on the end of a

846
00:47:11,520 --> 00:47:16,000
Speaker 19: roto rude and it's going up to you and no

847
00:47:16,120 --> 00:47:16,600
Speaker 19: further up here.

848
00:47:18,600 --> 00:47:24,880
Speaker 1: Now you're a party favor Oh doctor Timmy, give me.

849
00:47:24,880 --> 00:47:30,399
Speaker 1: I'll even take them a man time. And based on

850
00:47:30,440 --> 00:47:33,840
Speaker 1: your votes, it was a blowout on Facebook and Twitter.

851
00:47:34,440 --> 00:47:42,279
Speaker 1: Robin Williams moving on. Wow an upset seated upset. Yeah,

852
00:47:42,360 --> 00:47:43,600
Speaker 1: I thought that's a tough one.

853
00:47:43,600 --> 00:47:47,160
Speaker 3: I would have gone with Bill Cosby, Hill Cosby himself

854
00:47:47,480 --> 00:47:50,280
Speaker 3: and then the underrated I believe it was a Disney

855
00:47:50,280 --> 00:47:51,760
Speaker 3: movie The Devil and Max Devlin.

856
00:47:52,200 --> 00:47:56,000
Speaker 1: I remember that where Elliott Gould.

857
00:47:55,920 --> 00:48:00,240
Speaker 3: Because who that is, sells his soul to the Devil

858
00:48:00,320 --> 00:48:03,319
Speaker 3: or something like that, and Bill Cosby's the Devil.

859
00:48:03,320 --> 00:48:05,160
Speaker 1: Right scared the crap out of me when I was

860
00:48:05,160 --> 00:48:09,080
Speaker 1: a kid. So Robin Williams moving on and now today's matchup.

861
00:48:09,640 --> 00:48:12,560
Speaker 1: These are two of my personal favorites of all time.

862
00:48:12,760 --> 00:48:16,480
Speaker 1: I love both of these guys, the number eleven seed,

863
00:48:17,280 --> 00:48:21,320
Speaker 1: the late great Norm MacDonald, Allo my buddy.

864
00:48:21,320 --> 00:48:23,560
Speaker 12: I did want to say one thing about my buddy Richie,

865
00:48:23,560 --> 00:48:28,600
Speaker 12: who has a disease, but it's an interesting disease.

866
00:48:28,640 --> 00:48:28,879
Speaker 4: He has.

867
00:48:28,920 --> 00:48:33,879
Speaker 12: He has a disease of alcoholism, alcoholism, and he came

868
00:48:33,920 --> 00:48:36,480
Speaker 12: to me, you know, and he told me, and I

869
00:48:36,680 --> 00:48:37,960
Speaker 12: like to look. I'm a kind of guy who likes

870
00:48:37,960 --> 00:48:39,480
Speaker 12: to look at the bright side of things, you know.

871
00:48:39,719 --> 00:48:42,239
Speaker 12: So I told him, I said, Richie, it's true that

872
00:48:42,320 --> 00:48:45,080
Speaker 12: you have a disease and everything, but I think you

873
00:48:45,160 --> 00:48:54,000
Speaker 12: got the best one. It's the only disease where you

874
00:48:54,000 --> 00:48:58,120
Speaker 12: get to drink booze all the time. I haven't looked

875
00:48:58,160 --> 00:49:02,399
Speaker 12: at every medical journal, but I believe it's the only

876
00:49:02,440 --> 00:49:08,680
Speaker 12: disease where you can constantly drink booze. As a matter

877
00:49:08,719 --> 00:49:10,160
Speaker 12: of fact, that is the disease.

878
00:49:12,840 --> 00:49:16,400
Speaker 1: Okay, you can stop it right there. That's a strong,

879
00:49:16,800 --> 00:49:19,920
Speaker 1: strong eleven seed right there. Norm McDonald's I.

880
00:49:19,960 --> 00:49:24,320
Speaker 3: Got bell cancer and screaming in pain. What's your symptoms?

881
00:49:24,600 --> 00:49:28,399
Speaker 3: I get happy all the time. That's a great bit.

882
00:49:29,239 --> 00:49:34,840
Speaker 1: Now competing against Norm McDonald today the number six seed.

883
00:49:36,000 --> 00:49:38,840
Speaker 1: George Carlin. Wow, I think.

884
00:49:38,719 --> 00:49:41,560
Speaker 19: People show their ignorance when they say they want politicians

885
00:49:41,560 --> 00:49:46,040
Speaker 19: to be honest. What are these people talking about? If

886
00:49:46,080 --> 00:49:50,839
Speaker 19: honesty were suddenly introduced into politics, it would throw everything off.

887
00:49:51,400 --> 00:49:54,919
Speaker 19: The whole system would collapse. And I think deep down

888
00:49:54,960 --> 00:49:57,879
Speaker 19: the American people know that. The American people like their

889
00:49:57,920 --> 00:50:01,520
Speaker 19: bullshit out front where they can get a good, strong

890
00:50:01,560 --> 00:50:05,320
Speaker 19: whiff of it. That's why they re elected Clinton.

891
00:50:07,000 --> 00:50:11,000
Speaker 1: Lessen. Clinton might be.

892
00:50:11,000 --> 00:50:13,239
Speaker 19: Full of shit, but he lets you know it.

893
00:50:15,000 --> 00:50:16,319
Speaker 1: Dol tried to hide it.

894
00:50:16,600 --> 00:50:24,080
Speaker 19: I'm an honest man. People don't believe that. Clinton said, Hi,

895
00:50:24,239 --> 00:50:28,799
Speaker 19: I'm fullish eating. How do you like that? And the

896
00:50:28,880 --> 00:50:33,720
Speaker 19: people said, at least he's honest. Last, he's honest about

897
00:50:33,760 --> 00:50:36,880
Speaker 19: being fullish man.

898
00:50:36,920 --> 00:50:41,320
Speaker 3: This is a rough one because it's two totally different

899
00:50:41,640 --> 00:50:44,440
Speaker 3: style comedians like Nor McDonald never believed in talking about

900
00:50:44,440 --> 00:50:47,400
Speaker 3: politics in his set, but George Carlin did it in

901
00:50:47,440 --> 00:50:49,440
Speaker 3: a way which was funny and entertaining. Some of these

902
00:50:49,480 --> 00:50:51,800
Speaker 3: comedians like get up there and preach, and that was

903
00:50:51,800 --> 00:50:52,320
Speaker 3: a Carlin.

904
00:50:52,640 --> 00:50:55,360
Speaker 1: Carvin was an equal opportunity offenders.

905
00:50:55,920 --> 00:51:02,320
Speaker 3: Yes, I'm oh god, I'm going with nor McDonald. Okay,

906
00:51:02,440 --> 00:51:05,920
Speaker 3: I love Norm all right, nor McDonald, I'm going with Norm.

907
00:51:05,960 --> 00:51:08,799
Speaker 3: I know Carlin's your favorite. And it's a rough This

908
00:51:08,840 --> 00:51:10,600
Speaker 3: is a rough one. I don't know who's gonna win.

909
00:51:11,000 --> 00:51:14,440
Speaker 1: So you can vote right now. You've got less than

910
00:51:14,440 --> 00:51:18,840
Speaker 1: twenty four hours. Will announce the winner on Monday. Nige

911
00:51:18,920 --> 00:51:22,160
Speaker 1: will do it. I'm out Monday, but vote right now.

912
00:51:22,320 --> 00:51:25,240
Speaker 1: It's pinned to the top of our Twitter at Hammer

913
00:51:25,280 --> 00:51:29,440
Speaker 1: In Nigel and also on Facebook, Hammer and Nigel Facebook.

914
00:51:29,840 --> 00:51:33,040
Speaker 1: Just write the name of the comedian you want to advance,

915
00:51:33,440 --> 00:51:37,080
Speaker 1: and again we're not doing it just off these soundbites.

916
00:51:37,440 --> 00:51:40,840
Speaker 1: Their entire stand up comedy body of work is what

917
00:51:40,880 --> 00:51:45,840
Speaker 1: we're basing this on. Who should advance in this tournament.

918
00:51:46,400 --> 00:51:49,760
Speaker 1: This is like Kentucky versus Duke in that regional final

919
00:51:50,000 --> 00:51:52,760
Speaker 1: back in the nineties where it looks like Kentucky's gonna

920
00:51:52,760 --> 00:51:56,040
Speaker 1: win and then Leightoner hits that shot, El breaks loose.

921
00:51:56,280 --> 00:52:00,680
Speaker 1: It's a battle of Blue Blood's. Oh this is so good. McDonald,

922
00:52:00,960 --> 00:52:05,920
Speaker 1: George Carlin, vote right now, Hammer and Nigel Show, Facebook

923
00:52:06,080 --> 00:52:06,800
Speaker 1: and Twitter.

924
00:52:06,920 --> 00:52:10,080
Speaker 3: I think our audience. I think our fians are going

925
00:52:10,120 --> 00:52:13,279
Speaker 3: to vote for George Carlin. I really do. I like

926
00:52:13,360 --> 00:52:16,319
Speaker 3: Norm McDonald better. I would rather watch his stand up

927
00:52:16,360 --> 00:52:19,240
Speaker 3: special I think over at George Carlin's.

928
00:52:19,280 --> 00:52:21,120
Speaker 1: But I think our audience is going to do Carlin,

929
00:52:22,960 --> 00:52:23,560
Speaker 1: Nigel him.

930
00:52:23,920 --> 00:52:28,360
Speaker 3: Do you suppose we'll meet any wild animals, the borders,

931
00:52:29,600 --> 00:52:30,200
Speaker 3: the dingo?

932
00:52:30,360 --> 00:52:32,040
Speaker 1: Ain't your writing now?

933
00:52:32,280 --> 00:52:32,640
Speaker 19: Hammer?

934
00:52:32,840 --> 00:52:35,680
Speaker 1: Nigel proudly presents Damn nature.

935
00:52:35,920 --> 00:52:40,600
Speaker 17: You're scared a ninety three wibc cions and tigers.

936
00:52:41,520 --> 00:52:44,200
Speaker 3: Oh, I mean you think of an otter? You think

937
00:52:44,280 --> 00:52:48,520
Speaker 3: like a cute little little animal in the creek, right.

938
00:52:48,400 --> 00:52:50,920
Speaker 1: Having a jug band Christmas? Right.

939
00:52:52,480 --> 00:52:56,000
Speaker 3: A woman from North Carolina says that she was attacked

940
00:52:57,080 --> 00:53:04,880
Speaker 3: by an honor. She was squirm hotter. She was attacked

941
00:53:04,920 --> 00:53:07,719
Speaker 3: by an otter. Watching your friends run a marathon. Here

942
00:53:07,800 --> 00:53:12,600
Speaker 3: is Aaron talking about the attack. Everybody was like, wow,

943
00:53:12,840 --> 00:53:15,200
Speaker 3: we thought they were nice, and we thought they were cute.

944
00:53:15,280 --> 00:53:17,360
Speaker 10: I don't know, I don't see anything cute about otters,

945
00:53:17,400 --> 00:53:19,279
Speaker 10: but especially now, it was a.

946
00:53:19,280 --> 00:53:24,200
Speaker 3: Bit Yeah, damn nature, you scary. She got like six

947
00:53:24,320 --> 00:53:27,960
Speaker 3: raby shots. She's okay, You're gonna survive, Just calm down.

948
00:53:28,520 --> 00:53:32,359
Speaker 1: Are raby shots as bad as I've been told they were?

949
00:53:32,360 --> 00:53:34,759
Speaker 1: As a kid, Like when I was growing up, I

950
00:53:34,800 --> 00:53:38,520
Speaker 1: was told that raby shots were these really long needles

951
00:53:38,680 --> 00:53:41,360
Speaker 1: and they go in your belly button and you gotta

952
00:53:41,400 --> 00:53:43,480
Speaker 1: have a crap ton of them and it's painful.

953
00:53:43,600 --> 00:53:43,640
Speaker 12: No.

954
00:53:43,760 --> 00:53:45,919
Speaker 3: I told the story on the air before. My old

955
00:53:45,960 --> 00:53:48,080
Speaker 3: man picked up a possum when he was high on

956
00:53:48,200 --> 00:53:53,040
Speaker 3: LSD and the possum bit him and it was in

957
00:53:53,080 --> 00:53:55,200
Speaker 3: the sixties to the seventies or something like that, and

958
00:53:55,200 --> 00:53:59,800
Speaker 3: he had to go to the hospital get twenty.

959
00:54:00,120 --> 00:54:03,400
Speaker 1: It was a seventies you know, like a hold judgment.

960
00:54:03,440 --> 00:54:05,520
Speaker 1: He is, how has this not been made a movie?

961
00:54:05,520 --> 00:54:07,720
Speaker 1: I would have watched the hell out of this movie.

962
00:54:09,160 --> 00:54:11,359
Speaker 3: Well, I mean, if you have the full story, him

963
00:54:11,400 --> 00:54:13,920
Speaker 3: and my mom run away back from a Zeppelin concert

964
00:54:14,000 --> 00:54:17,480
Speaker 3: and they hit the possum and my dad made my mom,

965
00:54:17,560 --> 00:54:20,920
Speaker 3: who was sober, pull over. He was under the influence

966
00:54:21,200 --> 00:54:24,040
Speaker 3: because he wanted to make sure it was okay. He

967
00:54:24,120 --> 00:54:26,719
Speaker 3: picked it up and it bit him. It was it was,

968
00:54:26,840 --> 00:54:30,960
Speaker 3: it was okay. He had to go to the hospital

969
00:54:31,000 --> 00:54:33,279
Speaker 3: and get as you as you're talking about. I think

970
00:54:33,280 --> 00:54:35,920
Speaker 3: the shots have reduced, he said, he like had to

971
00:54:35,920 --> 00:54:38,560
Speaker 3: get twenty, and they were very painful, even under the influence.

972
00:54:39,160 --> 00:54:41,880
Speaker 1: Now this may be a dumb question, but I'm not

973
00:54:42,000 --> 00:54:47,960
Speaker 1: a doctor. If a possum bites somebody that's tripping balls

974
00:54:47,960 --> 00:54:53,440
Speaker 1: on LSD, does the possum now by the you know blood,

975
00:54:53,600 --> 00:54:56,200
Speaker 1: you know, going one direction to the other, does he

976
00:54:56,360 --> 00:54:59,799
Speaker 1: test positive for LSD as well? I don't know. That's

977
00:54:59,800 --> 00:55:03,160
Speaker 1: a great questions. Is there transmit property for blood with

978
00:55:03,480 --> 00:55:05,759
Speaker 1: LSD going from human to possum.

979
00:55:06,320 --> 00:55:10,160
Speaker 3: It's like the spider bit Peter Parker. The spider went

980
00:55:10,200 --> 00:55:13,400
Speaker 3: into Peter Parker. Right, you're saying it, did my dad

981
00:55:13,480 --> 00:55:14,400
Speaker 3: go into the possum?

982
00:55:14,680 --> 00:55:19,000
Speaker 1: Right? Did the possum become positive for LSD because of

983
00:55:19,040 --> 00:55:23,520
Speaker 1: your old man? We need a doctor on the YouTube

984
00:55:23,600 --> 00:55:28,040
Speaker 1: chat right now, let us know if the transitive property

985
00:55:28,120 --> 00:55:32,320
Speaker 1: exists in terms of LSD and blood work, human to possum.

986
00:55:32,640 --> 00:55:37,040
Speaker 3: Basically back to the otter store. Otters are just squirrels

987
00:55:37,040 --> 00:55:41,080
Speaker 3: that could swim. That's all they are, right, little mangy,

988
00:55:41,320 --> 00:55:43,040
Speaker 3: and they got pretty big teeth rodents.

989
00:55:43,760 --> 00:55:47,879
Speaker 1: I sometimes have the difference telling a gopher and an

990
00:55:47,920 --> 00:55:50,640
Speaker 1: otter and a squirrel, Like if you just see one

991
00:55:50,680 --> 00:55:53,560
Speaker 1: floating in the water, whether it's dead or swimming or alive,

992
00:55:53,840 --> 00:55:56,560
Speaker 1: I might not know what it is. I live in

993
00:55:56,560 --> 00:55:59,439
Speaker 1: the city, as you can tell. It's okay, real quick,

994
00:55:59,520 --> 00:56:03,879
Speaker 1: before we hit a break here. Today is National Proposal Day,

995
00:56:04,640 --> 00:56:08,160
Speaker 1: so if anybody's thinking about popping the question, today would

996
00:56:08,160 --> 00:56:12,520
Speaker 1: be the day to do it. Now. I support today's date,

997
00:56:12,880 --> 00:56:14,960
Speaker 1: like I don't like those people who do it on

998
00:56:15,280 --> 00:56:19,880
Speaker 1: Valentine's Day or New Year's Eve, Like, don't ruin everybody

999
00:56:19,880 --> 00:56:23,560
Speaker 1: else's just fun party by making it about yourself, right, No, no,

1000
00:56:23,560 --> 00:56:26,440
Speaker 1: no, no no. It should be just a regular day like today.

1001
00:56:26,600 --> 00:56:29,200
Speaker 1: So if you're popping the question, do it today. Don't

1002
00:56:29,200 --> 00:56:29,760
Speaker 1: be a sucker.

1003
00:56:30,239 --> 00:56:34,920
Speaker 3: Hello everybody, Hey, my name is Nigel head Al. Jameson

1004
00:56:35,000 --> 00:56:36,759
Speaker 3: ham A right over there. We're all you get in

1005
00:56:36,840 --> 00:56:38,600
Speaker 3: talking like we're top forty DJs.

1006
00:56:38,680 --> 00:56:39,120
Speaker 1: It shut.

1007
00:56:39,280 --> 00:56:43,760
Speaker 3: Jock October Hey, also in the studio with this traffic beast.

1008
00:56:44,040 --> 00:56:48,760
Speaker 3: Matt Bear, thank you for the U protein bar.

1009
00:56:48,920 --> 00:56:49,640
Speaker 1: The other day.

1010
00:56:49,719 --> 00:56:52,360
Speaker 3: By the way, we now, I immediately went and ordered

1011
00:56:52,400 --> 00:56:56,240
Speaker 3: like my own box of protein bars because the cookies.

1012
00:56:55,800 --> 00:56:57,680
Speaker 1: And creamy It was a quest Is that what it's called?

1013
00:56:57,760 --> 00:56:58,520
Speaker 1: It's a quest bar?

1014
00:56:58,600 --> 00:57:03,480
Speaker 20: Cookies and cruss so good cookies and cream Oh man, Yeah, I.

1015
00:57:03,440 --> 00:57:05,480
Speaker 1: Would have liked to have had a cookies and cream bar, Matt.

1016
00:57:05,520 --> 00:57:07,879
Speaker 1: Matt didn't offer me a delicious cookies and bar.

1017
00:57:08,560 --> 00:57:10,640
Speaker 3: In his defense, I walked in there and kind of

1018
00:57:10,680 --> 00:57:12,480
Speaker 3: apprehended it in front.

1019
00:57:12,320 --> 00:57:13,880
Speaker 1: Of Well, that doesn't put the cookies and cream bar

1020
00:57:13,960 --> 00:57:17,440
Speaker 1: in my stomach, now, does it? Nige, dude, I.

1021
00:57:17,440 --> 00:57:22,439
Speaker 20: Have a strawberry marshmallow for you. Strawberry marshmallow. Who would

1022
00:57:22,440 --> 00:57:24,240
Speaker 20: have thunk it? It's a dream commendation.

1023
00:57:24,480 --> 00:57:26,240
Speaker 1: This is the part of the show where our YouTube

1024
00:57:26,280 --> 00:57:29,920
Speaker 1: always sees a spike when Matt Bear saunters into the

1025
00:57:29,960 --> 00:57:33,760
Speaker 1: studio with this medium shirt on, and hell, like last

1026
00:57:33,760 --> 00:57:36,160
Speaker 1: week he was like getting naked in here taking a shirt.

1027
00:57:36,680 --> 00:57:40,680
Speaker 20: Yeah, the old little uninhibited I was the last week

1028
00:57:40,680 --> 00:57:42,160
Speaker 20: Matten after Dark Matt.

1029
00:57:43,520 --> 00:57:48,360
Speaker 1: Matt's taxicab confession. Before we get into some like fun

1030
00:57:48,440 --> 00:57:50,240
Speaker 1: stuff here, what do we need to know about the

1031
00:57:50,320 --> 00:57:51,760
Speaker 1: roads and everything this weekend?

1032
00:57:51,920 --> 00:57:54,520
Speaker 20: Yeah, we had a ram closure that started last night.

1033
00:57:54,560 --> 00:57:56,840
Speaker 20: This is the first evening rush and it really applies

1034
00:57:56,880 --> 00:58:00,560
Speaker 20: to evening rush hour. It is this downtown ramsure of

1035
00:58:00,720 --> 00:58:03,760
Speaker 20: Washington Street to southbound sixty five seventy is shut down.

1036
00:58:03,800 --> 00:58:05,600
Speaker 20: It's going to be closed until the lake fall, and

1037
00:58:05,640 --> 00:58:10,600
Speaker 20: this pushes traffic all over downtown as in the south

1038
00:58:10,640 --> 00:58:13,240
Speaker 20: endos West Street rams and people are also going to

1039
00:58:13,280 --> 00:58:14,120
Speaker 20: be using rurals.

1040
00:58:14,120 --> 00:58:15,320
Speaker 1: So this is a big deal.

1041
00:58:15,360 --> 00:58:17,640
Speaker 20: It's part of that sixty five project on the south

1042
00:58:17,640 --> 00:58:19,720
Speaker 20: side where everything's tore up right now, where they're adding

1043
00:58:19,760 --> 00:58:22,560
Speaker 20: another lane that should be done hopefully the whole thing.

1044
00:58:22,600 --> 00:58:25,080
Speaker 20: I'm talking about, the whole project by late this year

1045
00:58:25,160 --> 00:58:26,040
Speaker 20: or early next year.

1046
00:58:26,240 --> 00:58:28,760
Speaker 1: I think they excited to do it, like right before

1047
00:58:28,760 --> 00:58:32,440
Speaker 1: the final four. Right, let's start that before the final

1048
00:58:32,480 --> 00:58:34,840
Speaker 1: four and the Indy five hundred. Usually we could go

1049
00:58:34,880 --> 00:58:36,000
Speaker 1: on before the five hundred.

1050
00:58:36,000 --> 00:58:39,280
Speaker 20: I was thinking, that's when we lay down, that's when

1051
00:58:39,320 --> 00:58:41,080
Speaker 20: we start closing inter Today it's right there.

1052
00:58:41,200 --> 00:58:43,880
Speaker 1: Well, and it feels like Monument Circle has been closed

1053
00:58:43,920 --> 00:58:46,880
Speaker 1: off a lot lately because they're doing some construction. So

1054
00:58:47,000 --> 00:58:49,960
Speaker 1: all this new traffic that's coming downtown, that thinks, okay,

1055
00:58:50,160 --> 00:58:53,120
Speaker 1: I'll cut around the Circle to get to North Meridian,

1056
00:58:53,200 --> 00:58:56,640
Speaker 1: South Meridian, wherever they're going. Now you've got to reroute

1057
00:58:56,680 --> 00:58:59,040
Speaker 1: around from that. Yeah, it's absolutely better.

1058
00:58:59,160 --> 00:59:02,240
Speaker 20: And don't forget we still have the City Hotel, you know,

1059
00:59:03,560 --> 00:59:06,720
Speaker 20: government funded hotel. It still has the road closed there

1060
00:59:06,760 --> 00:59:09,160
Speaker 20: going by that, so it's it's chaos right now.

1061
00:59:09,200 --> 00:59:10,480
Speaker 1: It's tough to get around.

1062
00:59:10,480 --> 00:59:12,120
Speaker 20: But we have a lot of cool things coming up

1063
00:59:12,120 --> 00:59:15,480
Speaker 20: in Indianapolis, so I'm excited about that. But in the interim,

1064
00:59:15,600 --> 00:59:19,160
Speaker 20: that entrance ramp Washington Street to southbound sixty five that

1065
00:59:19,240 --> 00:59:22,560
Speaker 20: is shut down and it is gone until the fall,

1066
00:59:22,680 --> 00:59:23,840
Speaker 20: at least late fall.

1067
00:59:23,920 --> 00:59:26,360
Speaker 1: Now with Georgia Street, because that used to be like

1068
00:59:26,360 --> 00:59:29,800
Speaker 1: the big Tailgate Street, Party Street, whenever the city would

1069
00:59:29,800 --> 00:59:33,360
Speaker 1: have big events. It's been closed for construction for a while.

1070
00:59:33,840 --> 00:59:36,520
Speaker 1: Has that opened back up or is it about to No,

1071
00:59:36,760 --> 00:59:37,760
Speaker 1: it's going to be shut down.

1072
00:59:38,120 --> 00:59:40,880
Speaker 20: We do have the ncuble A coming up with the

1073
00:59:40,920 --> 00:59:43,360
Speaker 20: Final four here in a couple of weeks, so that's

1074
00:59:43,360 --> 00:59:45,840
Speaker 20: going to be going down, So Georgia Street, i'd keep

1075
00:59:45,880 --> 00:59:49,560
Speaker 20: that off limits for the moment right now. We do

1076
00:59:49,640 --> 00:59:52,320
Speaker 20: have closures starting too with the NCAA. I know South

1077
00:59:52,800 --> 00:59:55,760
Speaker 20: Street will be closed as starting late next week, I believe.

1078
00:59:55,800 --> 00:59:58,480
Speaker 20: And we also have North Street closed right now between

1079
00:59:58,480 --> 01:00:00,680
Speaker 20: Meridian Penns. So we're getting ready to already hearing down

1080
01:00:00,760 --> 01:00:01,600
Speaker 20: down to Indianapolis.

1081
01:00:01,640 --> 01:00:02,200
Speaker 1: It's a good time.

1082
01:00:02,200 --> 01:00:05,000
Speaker 20: But we do those street closures that come with such

1083
01:00:05,000 --> 01:00:07,080
Speaker 20: a big event as the NCAA Final Four.

1084
01:00:07,120 --> 01:00:09,479
Speaker 1: It's pretty cool. It's just really inconvenient if you're.

1085
01:00:09,400 --> 01:00:11,600
Speaker 3: Driving one more thing before we move on. I hadn't

1086
01:00:11,600 --> 01:00:13,360
Speaker 3: been to Fishers in a while. We did Great Lakes

1087
01:00:13,360 --> 01:00:16,200
Speaker 3: Honda our Life broadcast up at Fishers, which you know,

1088
01:00:16,200 --> 01:00:18,840
Speaker 3: it takes us up and down sixty nine and man

1089
01:00:18,960 --> 01:00:23,640
Speaker 3: leaving that, leaving leaving Fishers last night on sixty nine,

1090
01:00:23,720 --> 01:00:27,920
Speaker 3: headed back to for sixty five South. Yeah, Holy God Almighty,

1091
01:00:27,960 --> 01:00:29,840
Speaker 3: these people do that every day.

1092
01:00:30,200 --> 01:00:33,680
Speaker 1: Nigel looks like he just got home from nab It

1093
01:00:33,800 --> 01:00:38,120
Speaker 1: was thousand yards. Oh, my anxiety level was just Where's

1094
01:00:38,680 --> 01:00:46,800
Speaker 1: what it's like going up Hamburger's Hill right now? Sites

1095
01:00:46,840 --> 01:00:49,040
Speaker 1: of stuff? I wouldn't recommend it.

1096
01:00:49,320 --> 01:00:49,640
Speaker 2: Wow.

1097
01:00:49,800 --> 01:00:52,560
Speaker 1: And these people do that every day, back and forth,

1098
01:00:52,680 --> 01:00:52,960
Speaker 1: I know.

1099
01:00:53,280 --> 01:00:55,360
Speaker 20: And the same thing with people in hand Kng down

1100
01:00:55,400 --> 01:00:57,840
Speaker 20: Tay coming down seventy through that construction zone. You have

1101
01:00:57,880 --> 01:01:02,320
Speaker 20: the Fishers construction zone and Rockville Road that's getting tore

1102
01:01:02,480 --> 01:01:04,840
Speaker 20: up right now. And then you have on the south

1103
01:01:04,840 --> 01:01:07,720
Speaker 20: side Madison Avenue with sixty five coming up into the

1104
01:01:07,760 --> 01:01:10,720
Speaker 20: city center. There's no way into Indianapolis. We are an

1105
01:01:10,720 --> 01:01:11,680
Speaker 20: island right now.

1106
01:01:12,080 --> 01:01:17,240
Speaker 1: Just totally. Yeah, it's bad. Matt Bear the traffic beast

1107
01:01:17,360 --> 01:01:20,600
Speaker 1: with us. So, Matt, are you a march madness guy?

1108
01:01:21,120 --> 01:01:23,680
Speaker 1: I don't purdue who you follow. They play a little

1109
01:01:23,680 --> 01:01:26,959
Speaker 1: bit later on tonight against queens not from New York

1110
01:01:27,280 --> 01:01:31,640
Speaker 1: but queens from Charlotte. You will not see a cheme

1111
01:01:33,400 --> 01:01:37,840
Speaker 1: from coming to America looking for a bride at that university.

1112
01:01:37,400 --> 01:01:41,840
Speaker 20: To find my wife and queens Queen's North Carolina.

1113
01:01:42,240 --> 01:01:43,720
Speaker 1: But are you a march madness guy?

1114
01:01:43,840 --> 01:01:46,720
Speaker 20: Love it, love it so much. I do start studying

1115
01:01:46,760 --> 01:01:50,080
Speaker 20: the teams right before it starts. I like college basketball.

1116
01:01:50,200 --> 01:01:52,800
Speaker 20: I'm not gonna claim to be an officionado like you

1117
01:01:52,840 --> 01:01:55,920
Speaker 20: guys and everything, but I do love Purdue basketball. So

1118
01:01:56,320 --> 01:01:58,919
Speaker 20: I'm totally prepared for them to lose to Queen's Tonight bru.

1119
01:01:59,040 --> 01:02:03,520
Speaker 20: My entire weekend there was that sixteen versus one seed

1120
01:02:03,600 --> 01:02:05,479
Speaker 20: we had a couple of years ago, and then there's

1121
01:02:05,520 --> 01:02:08,080
Speaker 20: just this whole this season. So I'm looking forward to

1122
01:02:08,280 --> 01:02:09,840
Speaker 20: do But I also think it's really cool. It seems

1123
01:02:09,880 --> 01:02:11,720
Speaker 20: like this year it's like been a blowout or an

1124
01:02:11,760 --> 01:02:14,240
Speaker 20: upset right now, and that's kind of been going on

1125
01:02:14,280 --> 01:02:18,040
Speaker 20: because I just saw Iowa State absolutely eviscerating.

1126
01:02:17,360 --> 01:02:18,320
Speaker 1: Whoever they were playing.

1127
01:02:18,520 --> 01:02:20,480
Speaker 20: I can't remember at the moment, but it's just I

1128
01:02:20,600 --> 01:02:22,720
Speaker 20: love the time, man, and everybody's having fun. I mean,

1129
01:02:22,880 --> 01:02:26,160
Speaker 20: there are parties in my neighborhood already and we don't

1130
01:02:26,160 --> 01:02:28,560
Speaker 20: even have the final four up yet in Indianapolis, but

1131
01:02:28,640 --> 01:02:29,680
Speaker 20: mass is going crazy.

1132
01:02:29,680 --> 01:02:31,960
Speaker 1: I'm sure some of the other cultural districts will.

1133
01:02:31,800 --> 01:02:35,200
Speaker 3: Be two somebody that's recovering. Does it trigger you at all,

1134
01:02:35,240 --> 01:02:38,000
Speaker 3: because I mean, it's generally a part you don't get triggered.

1135
01:02:38,440 --> 01:02:38,720
Speaker 1: I don't.

1136
01:02:39,080 --> 01:02:41,080
Speaker 3: Okay, sure, I'm speaking for you. Do you do you

1137
01:02:41,080 --> 01:02:44,920
Speaker 3: get triggered? First of all as a recovering like partier,

1138
01:02:45,160 --> 01:02:46,640
Speaker 3: you know what I mean? Like this is this is

1139
01:02:46,680 --> 01:02:47,800
Speaker 3: party central r Yeah.

1140
01:02:48,120 --> 01:02:49,200
Speaker 1: St Patrick's Day.

1141
01:02:49,240 --> 01:02:49,320
Speaker 10: Oh.

1142
01:02:49,400 --> 01:02:52,360
Speaker 3: St Patrick's Day, especially with the final four is here

1143
01:02:52,480 --> 01:02:53,440
Speaker 3: in just a week or two.

1144
01:02:53,680 --> 01:02:55,960
Speaker 20: I had no trouble with Saint Patrick's Day, none at

1145
01:02:55,960 --> 01:02:57,160
Speaker 20: all as a recovery.

1146
01:02:57,160 --> 01:02:58,720
Speaker 1: Now, Kyle, you've been there, done that.

1147
01:02:58,880 --> 01:03:02,280
Speaker 20: Yeah, I've been there and say I had Saint Patrick's

1148
01:03:02,320 --> 01:03:05,400
Speaker 20: Day every day of my life pretty much except without.

1149
01:03:05,160 --> 01:03:07,080
Speaker 1: The you know, dressing up in the green and everything.

1150
01:03:07,560 --> 01:03:10,200
Speaker 20: Uh, with the NCAA, that's a little that's a different

1151
01:03:10,240 --> 01:03:12,480
Speaker 20: animal because I do enjoy so much.

1152
01:03:12,640 --> 01:03:14,760
Speaker 1: So it's with my neighborhood.

1153
01:03:14,760 --> 01:03:17,280
Speaker 20: What you do is you just kind of pick your

1154
01:03:17,320 --> 01:03:19,600
Speaker 20: moments to go where you need to go. I mean,

1155
01:03:19,800 --> 01:03:22,320
Speaker 20: I don't listen if I see a half a dozen

1156
01:03:22,560 --> 01:03:24,720
Speaker 20: women out partying and everything, that's going to make me

1157
01:03:24,760 --> 01:03:28,160
Speaker 20: want a party. I'm a guy, and I'm a recovering alcoholic.

1158
01:03:28,360 --> 01:03:30,840
Speaker 20: And if it gets too bad, if it gets too thick,

1159
01:03:31,960 --> 01:03:33,880
Speaker 20: I have people I can call. I have people I

1160
01:03:33,880 --> 01:03:35,880
Speaker 20: can talk to and they're gonna be like, yeah, if

1161
01:03:35,920 --> 01:03:39,840
Speaker 20: you get drunk tonight, dude, those women are never going

1162
01:03:40,000 --> 01:03:41,560
Speaker 20: not like they're going to want me to begin with,

1163
01:03:41,600 --> 01:03:43,400
Speaker 20: but they're gonna like, yeah, you're totally out of the

1164
01:03:43,400 --> 01:03:46,000
Speaker 20: game if you get drunk tonight, because what could turn

1165
01:03:46,040 --> 01:03:49,120
Speaker 20: into a Friday night is generally goes through June.

1166
01:03:49,760 --> 01:03:51,720
Speaker 1: I wish I had a friend Matt Barret, when I

1167
01:03:51,760 --> 01:03:54,800
Speaker 1: was in my twenties. Though, my god, Hammer, it's two

1168
01:03:54,880 --> 01:03:57,160
Speaker 1: in the morning. I need you to get these drunk

1169
01:03:57,200 --> 01:04:00,480
Speaker 1: women off of me, because you're my friend. I'll be

1170
01:04:00,600 --> 01:04:01,000
Speaker 1: right there.

1171
01:04:01,160 --> 01:04:04,320
Speaker 20: Honestly, when I first moved to downtown Indianapolis, I'm living

1172
01:04:04,360 --> 01:04:06,920
Speaker 20: on a place on Delaware Street here downtown, and I

1173
01:04:06,960 --> 01:04:08,720
Speaker 20: had a buddy of mine. He was about a decade

1174
01:04:08,760 --> 01:04:10,360
Speaker 20: older than me, and I was the guy that knock

1175
01:04:10,440 --> 01:04:12,240
Speaker 20: on his door and be like one am on Saturday.

1176
01:04:12,280 --> 01:04:14,520
Speaker 1: I'd be like, well, let's go, and you get up

1177
01:04:14,560 --> 01:04:15,160
Speaker 1: and we walk out.

1178
01:04:15,200 --> 01:04:16,840
Speaker 20: He's like, dude, I'm in my forties and I'm like,

1179
01:04:16,960 --> 01:04:19,640
Speaker 20: we're gonna go party, and then three am everything shuts

1180
01:04:19,680 --> 01:04:23,400
Speaker 20: down and you know whatever else, And it was I mean, yeah,

1181
01:04:23,600 --> 01:04:25,720
Speaker 20: I look back at some of that fondly. I mean,

1182
01:04:25,760 --> 01:04:28,440
Speaker 20: I had great times with my family, had great times

1183
01:04:28,480 --> 01:04:31,440
Speaker 20: with my friends. But the difference between me and them,

1184
01:04:31,480 --> 01:04:33,360
Speaker 20: and me and you guys and everybody else is I

1185
01:04:33,480 --> 01:04:35,920
Speaker 20: just can't do it. I mean, I have that allergy

1186
01:04:35,920 --> 01:04:36,760
Speaker 20: in my head and body.

1187
01:04:37,200 --> 01:04:40,360
Speaker 1: You went weigh harder than anybody, right, Like you look

1188
01:04:40,400 --> 01:04:42,800
Speaker 1: at some of these NFL guys that were in the

1189
01:04:42,800 --> 01:04:45,160
Speaker 1: best shape of their life twenty years ago, they can't

1190
01:04:45,200 --> 01:04:47,120
Speaker 1: get out of bed now. Or you look at like

1191
01:04:47,240 --> 01:04:50,720
Speaker 1: Jeff Hurrod's fingers and they're all twisted and gross because

1192
01:04:50,840 --> 01:04:53,760
Speaker 1: they went so hard in the prime of their life.

1193
01:04:54,240 --> 01:04:59,600
Speaker 1: You took that approach to substances, mainly alcohol, and now

1194
01:05:00,160 --> 01:05:02,240
Speaker 1: you're kind of like one of these NFL guys. Yeah,

1195
01:05:02,360 --> 01:05:04,360
Speaker 1: I could have learned a different language or a.

1196
01:05:04,360 --> 01:05:07,000
Speaker 3: Thousand better shade to the NFL guys, Like were you

1197
01:05:07,160 --> 01:05:10,320
Speaker 3: like Ben and leaving Las Vegas? Like Nicholas Cage's character

1198
01:05:10,360 --> 01:05:12,440
Speaker 3: at one point, like where that scene where he was

1199
01:05:12,480 --> 01:05:15,640
Speaker 3: crawling to the refrigerator for the Remember that scene where

1200
01:05:15,640 --> 01:05:18,960
Speaker 3: he was crawling to the refrigerator and he was had

1201
01:05:19,000 --> 01:05:22,760
Speaker 3: to withdrawals so bad the DT's or whatever. He's pouring

1202
01:05:22,920 --> 01:05:25,640
Speaker 3: vodka in one side and orange juice in the other

1203
01:05:25,720 --> 01:05:28,880
Speaker 3: in his mouth like it's an upside down Margarita or

1204
01:05:28,920 --> 01:05:29,480
Speaker 3: something like that.

1205
01:05:29,600 --> 01:05:33,320
Speaker 20: I wasn't gonna waste my money on orange juice. Now, wow,

1206
01:05:33,480 --> 01:05:36,280
Speaker 20: there was there was a difference. There are some differences

1207
01:05:36,320 --> 01:05:40,080
Speaker 20: between that character and Nick Cage's character and leaving Las Vegas, and.

1208
01:05:40,360 --> 01:05:43,080
Speaker 1: That was that was the extreme. There was something.

1209
01:05:43,240 --> 01:05:45,240
Speaker 20: Oh yeah, yeah, but I mean I didn't have like

1210
01:05:45,280 --> 01:05:47,640
Speaker 20: a briefcase full of alcohol. I was taken with me

1211
01:05:47,720 --> 01:05:50,440
Speaker 20: and preparing to die. Yeah, but you know that those

1212
01:05:50,520 --> 01:05:51,800
Speaker 20: kind of things usually tak Care.

1213
01:05:51,800 --> 01:05:55,240
Speaker 1: What movie or TV character was the closest to Matt Bear,

1214
01:05:55,560 --> 01:05:59,960
Speaker 1: I would say it would be Denzel Washington and Flighty.

1215
01:06:00,120 --> 01:06:00,760
Speaker 1: This was an.

1216
01:06:00,760 --> 01:06:03,600
Speaker 20: Excellent movie and people think it's about it's the one

1217
01:06:03,640 --> 01:06:05,720
Speaker 20: where he inverts an airplane so we can land and

1218
01:06:05,840 --> 01:06:09,080
Speaker 20: get everybody safely to the ground. And he's a pilot,

1219
01:06:09,080 --> 01:06:11,680
Speaker 20: he's an alcoholic. And I don't want to spoilers here,

1220
01:06:11,720 --> 01:06:14,480
Speaker 20: I'm gonna spoil a little bit, so spoilers here at the.

1221
01:06:14,520 --> 01:06:17,040
Speaker 1: End of the movie. Great movie. Yeah, he's a fantastic

1222
01:06:17,040 --> 01:06:17,919
Speaker 1: It is such a good movie.

1223
01:06:17,920 --> 01:06:20,320
Speaker 20: At the end of the movie, he's in front of

1224
01:06:20,320 --> 01:06:23,640
Speaker 20: commission and they're talking about this plane landing. He made

1225
01:06:23,760 --> 01:06:26,440
Speaker 20: and you know whether or not he was justified, it

1226
01:06:26,480 --> 01:06:28,600
Speaker 20: was really just a smoke screen for everything else because

1227
01:06:28,600 --> 01:06:31,040
Speaker 20: he's going to be acquitted. Well, they found a couple

1228
01:06:31,120 --> 01:06:34,440
Speaker 20: of empty Vanka bottles, those travel size and they were

1229
01:06:34,480 --> 01:06:36,280
Speaker 20: going to punt it off on his girlfriend at the time,

1230
01:06:36,320 --> 01:06:38,280
Speaker 20: who was a steward died, Yeah, who died.

1231
01:06:38,440 --> 01:06:42,200
Speaker 1: And yeah, he just kind of he's in the whole thing.

1232
01:06:42,240 --> 01:06:44,840
Speaker 20: He's just drunk and on blowing in a thousand other things,

1233
01:06:44,960 --> 01:06:48,439
Speaker 20: and he just looks up at the panel the prosecutors

1234
01:06:48,480 --> 01:06:50,160
Speaker 20: and he said, yeah, it was mine.

1235
01:06:50,520 --> 01:06:53,000
Speaker 1: They're just tears coming down to time he left it.

1236
01:06:53,160 --> 01:06:54,320
Speaker 1: He just left it all on the table.

1237
01:06:54,400 --> 01:06:56,320
Speaker 20: Yeah, he just finally left it out on the table.

1238
01:06:56,360 --> 01:06:58,160
Speaker 20: And he goes to prison for seven years and he

1239
01:06:58,200 --> 01:07:01,040
Speaker 20: pays for his crime. And although I didn't had that

1240
01:07:01,120 --> 01:07:03,200
Speaker 20: kind of an extreme case, but I did have that

1241
01:07:03,280 --> 01:07:05,920
Speaker 20: moment with just tears coming down from my eyes, just

1242
01:07:05,960 --> 01:07:08,480
Speaker 20: being like, yeah, that was me, just after years and

1243
01:07:08,560 --> 01:07:12,280
Speaker 20: years and years of wise, I really related to that scene.

1244
01:07:12,280 --> 01:07:14,680
Speaker 20: And not because I'm any body important or I'm anything.

1245
01:07:15,000 --> 01:07:18,640
Speaker 20: It's just having that one moment where you finally say yeah,

1246
01:07:18,760 --> 01:07:21,200
Speaker 20: I'm ready and you say those magic words and that

1247
01:07:21,480 --> 01:07:23,800
Speaker 20: reminded me of me. Now, there were some elements of

1248
01:07:23,880 --> 01:07:25,000
Speaker 20: Nick Cage's character.

1249
01:07:26,480 --> 01:07:30,640
Speaker 3: Reseml Yeah, casino tables, blackjack tables in Vegas.

1250
01:07:30,920 --> 01:07:32,120
Speaker 1: Yeah, it's it's the whole thing.

1251
01:07:32,240 --> 01:07:35,240
Speaker 20: Yeah, setting at the bar being like, man, I hope

1252
01:07:35,240 --> 01:07:36,640
Speaker 20: somebody talks to me right now.

1253
01:07:36,720 --> 01:07:39,480
Speaker 1: I mean, and I hate admitting that so much, but

1254
01:07:39,560 --> 01:07:44,960
Speaker 1: that's what it was. I mean by admitting that maybemboy. Like.

1255
01:07:45,000 --> 01:07:47,080
Speaker 3: We used to play drinking games to that movie. That's

1256
01:07:47,080 --> 01:07:50,480
Speaker 3: how degenerates we were. We like every time Nicholas Cage

1257
01:07:50,520 --> 01:07:52,840
Speaker 3: would take a drink in that movie, before we'd go

1258
01:07:52,840 --> 01:07:54,640
Speaker 3: to the bars, we'd put in that movie every time

1259
01:07:54,680 --> 01:07:58,000
Speaker 3: he'd take a drink, we'd take a drink. And that's

1260
01:07:58,160 --> 01:07:59,320
Speaker 3: kind of it was a drinking game.

1261
01:07:59,400 --> 01:08:02,200
Speaker 1: That's going hard in the paint too, yeah.

1262
01:08:01,920 --> 01:08:05,000
Speaker 3: Because it's pretty much every scene right. Yeah, But he's

1263
01:08:05,000 --> 01:08:07,080
Speaker 3: signing the check at the bank and he can't do

1264
01:08:07,120 --> 01:08:08,880
Speaker 3: it because he's shaking so bad. He has to go

1265
01:08:08,920 --> 01:08:11,120
Speaker 3: to the bar and drink like three Vodkas and he

1266
01:08:11,200 --> 01:08:13,840
Speaker 3: comes back inside steady as a figure.

1267
01:08:15,520 --> 01:08:17,320
Speaker 1: That was me at the post office one time.

1268
01:08:17,400 --> 01:08:20,160
Speaker 20: Yeah, seriously, my hands were shaking so badly and I

1269
01:08:20,240 --> 01:08:22,720
Speaker 20: just try to mail the package and the guy had.

1270
01:08:23,479 --> 01:08:25,760
Speaker 20: First off, I wrote my return address on there looked

1271
01:08:25,840 --> 01:08:27,720
Speaker 20: like chicken scratches, and the guy kind of had to

1272
01:08:27,760 --> 01:08:28,160
Speaker 20: help me.

1273
01:08:28,200 --> 01:08:29,880
Speaker 1: Fill it out. And then I made it X for

1274
01:08:29,960 --> 01:08:31,880
Speaker 1: my name because that's I mean, my hands. But at

1275
01:08:31,920 --> 01:08:33,559
Speaker 1: least you didn't leave and go to the bar and

1276
01:08:33,600 --> 01:08:36,040
Speaker 1: get straight and come back. Oh I had a bottle

1277
01:08:36,040 --> 01:08:38,800
Speaker 1: of home that wasn't impressible. Okay, when you bought it,

1278
01:08:38,840 --> 01:08:41,240
Speaker 1: you were like Nicholas Cage in that grocery store scene.

1279
01:08:41,640 --> 01:08:45,240
Speaker 3: He was never happier in that scene, just going like this,

1280
01:08:45,479 --> 01:08:47,120
Speaker 3: just grab whatever he could off.

1281
01:08:48,000 --> 01:08:49,800
Speaker 1: Every morning, I wake it up and I'm I go,

1282
01:08:49,840 --> 01:08:52,439
Speaker 1: what did I do last night? What kind of shame

1283
01:08:52,600 --> 01:08:55,439
Speaker 1: could I inject in myself? And you know what, that

1284
01:08:55,520 --> 01:08:56,000
Speaker 1: goes away.

1285
01:08:56,400 --> 01:08:58,719
Speaker 20: That starts to go away the longer you are sober,

1286
01:08:58,840 --> 01:09:01,320
Speaker 20: the longer you start living new life, and that shame

1287
01:09:01,400 --> 01:09:02,839
Speaker 20: finally starts to go away.

1288
01:09:02,920 --> 01:09:04,960
Speaker 1: But you do you wake up on the daily? Did

1289
01:09:05,000 --> 01:09:07,160
Speaker 1: the shame continue? I know we're running way long here

1290
01:09:07,200 --> 01:09:09,479
Speaker 1: and you got to do a traffic report, But did

1291
01:09:09,520 --> 01:09:13,000
Speaker 1: the shame continue? Or did the drinking get so bad

1292
01:09:13,040 --> 01:09:14,479
Speaker 1: you didn't get embarrassed anymore?

1293
01:09:15,040 --> 01:09:15,240
Speaker 2: Oh?

1294
01:09:15,280 --> 01:09:16,480
Speaker 1: I was always embarrassed.

1295
01:09:17,040 --> 01:09:19,639
Speaker 20: The shame always continued, and the only thing that makes

1296
01:09:19,680 --> 01:09:21,360
Speaker 20: that go away is the bottle.

1297
01:09:21,479 --> 01:09:23,040
Speaker 1: You go to the bottle chop.

1298
01:09:22,840 --> 01:09:24,800
Speaker 20: And that shame goes away again until you start a

1299
01:09:24,840 --> 01:09:26,720
Speaker 20: new history of it. And some nights you'd wake up

1300
01:09:26,720 --> 01:09:28,479
Speaker 20: the next day be like, I'm okay, Well that's just

1301
01:09:28,520 --> 01:09:29,679
Speaker 20: an excuse to keep drinking.

1302
01:09:30,040 --> 01:09:35,599
Speaker 1: You feel good, You're feeling good. Feel okadah. When you're good,

1303
01:09:35,680 --> 01:09:38,559
Speaker 1: it doesn't matter. You're gonna drink. That's all there is

1304
01:09:38,560 --> 01:09:40,880
Speaker 1: to it, you dude matter. I love having these talks

1305
01:09:40,920 --> 01:09:43,679
Speaker 1: with you. I like it's such an eye opening look

1306
01:09:43,760 --> 01:09:46,880
Speaker 1: into like, not only your story, but I bet there

1307
01:09:46,880 --> 01:09:49,360
Speaker 1: are so many people listening out there, whether it's them,

1308
01:09:49,760 --> 01:09:52,680
Speaker 1: somebody they love, a friend that has gone through the

1309
01:09:52,720 --> 01:09:55,080
Speaker 1: same type of things you guys have.

1310
01:09:55,439 --> 01:09:58,000
Speaker 20: The three of you, everybody at this station has been

1311
01:09:58,040 --> 01:09:59,639
Speaker 20: fantastic and hearing the.

1312
01:09:59,560 --> 01:10:02,679
Speaker 1: Story and letting me tell the story. And I'm very

1313
01:10:02,760 --> 01:10:05,200
Speaker 1: blessed and grateful to be able to do that. Every time.

1314
01:10:05,560 --> 01:10:07,599
Speaker 1: Do you need to walk back to your traffic center,

1315
01:10:07,720 --> 01:10:09,679
Speaker 1: I think I'll go real quick. Hey, give me one second,

1316
01:10:09,680 --> 01:10:11,160
Speaker 1: we're gonna get mad a chance to get back to

1317
01:10:11,200 --> 01:10:15,400
Speaker 1: the traffic center. Well, he gets back there. Incredible segment

1318
01:10:15,840 --> 01:10:21,040
Speaker 1: like that movie flight with Denzel comparing himself to Denzel There.

1319
01:10:21,320 --> 01:10:23,360
Speaker 1: I'm gonna go on the record. I'm gonna make it official.

1320
01:10:23,840 --> 01:10:25,959
Speaker 1: Matt Bear is the white Denzel Washington.

1321
01:10:27,360 --> 01:10:30,599
Speaker 3: I'll make it even more official. I in that movie.

1322
01:10:30,720 --> 01:10:32,320
Speaker 3: Don't think he should have went to prison?

1323
01:10:32,760 --> 01:10:33,679
Speaker 1: Oh okay.

1324
01:10:33,840 --> 01:10:36,799
Speaker 3: I think he saved hundreds of people on that flight.

1325
01:10:37,400 --> 01:10:39,960
Speaker 3: Probably should have got his license taken away or something

1326
01:10:40,000 --> 01:10:43,000
Speaker 3: like that. But sure he went to prison for seven years.

1327
01:10:45,560 --> 01:10:51,000
Speaker 1: Are you really okay? Are going to be okay?

1328
01:10:51,880 --> 01:10:52,519
Speaker 2: Are you okay?

1329
01:10:52,800 --> 01:10:58,040
Speaker 1: Yeah, I'm fine. I'm pretty freeing far from okay. Are

1330
01:10:58,080 --> 01:11:03,280
Speaker 1: you okay with this one? Now?

1331
01:11:03,320 --> 01:11:07,200
Speaker 3: The government has apparently registered the domain aliens dot go

1332
01:11:07,840 --> 01:11:12,200
Speaker 3: cover There is no website being hosted by the domain yet.

1333
01:11:12,800 --> 01:11:16,600
Speaker 3: This is one month after Trump instructed federal agencies to

1334
01:11:16,640 --> 01:11:20,960
Speaker 3: release government files related to aliens and UFOs or they

1335
01:11:21,160 --> 01:11:22,240
Speaker 3: have some new.

1336
01:11:22,120 --> 01:11:24,320
Speaker 1: Name from now upas or something like that.

1337
01:11:24,360 --> 01:11:27,759
Speaker 3: But are you okay with the government registering thedomain aliens

1338
01:11:27,800 --> 01:11:28,120
Speaker 3: dot go.

1339
01:11:28,800 --> 01:11:31,040
Speaker 1: I am, And I'm shocked that it was open, like

1340
01:11:31,320 --> 01:11:36,200
Speaker 1: you think all these alien conspiracy theory guys. Somebody would

1341
01:11:36,200 --> 01:11:39,479
Speaker 1: have bought the domain unless the government gets priority and

1342
01:11:39,479 --> 01:11:41,840
Speaker 1: they get to buy you out. I don't know how

1343
01:11:41,840 --> 01:11:44,880
Speaker 1: any of that works, but I'm shocked that it was open.

1344
01:11:46,040 --> 01:11:48,840
Speaker 1: But look, load it all out there. It's going to

1345
01:11:48,840 --> 01:11:52,880
Speaker 1: be underwhelming. Everybody knows this. Anything worth a crap's going

1346
01:11:52,880 --> 01:11:57,280
Speaker 1: to be redacted. You might get a few nuggets of information,

1347
01:11:57,880 --> 01:12:00,880
Speaker 1: but that's it. You're not going to find some random

1348
01:12:00,920 --> 01:12:05,320
Speaker 1: email that says, oh, look at that. On April seventeenth

1349
01:12:05,400 --> 01:12:08,479
Speaker 1: and twenty nineteen, an alien abducted a bunch of children

1350
01:12:08,520 --> 01:12:12,760
Speaker 1: in Wyoming and we've got it locked up in the fridge. Like, no,

1351
01:12:12,840 --> 01:12:15,080
Speaker 1: you're not going to find that. It's just going to

1352
01:12:15,080 --> 01:12:17,040
Speaker 1: be a bunch of Well that's a shame crap.

1353
01:12:18,600 --> 01:12:20,800
Speaker 3: And by the way, the new Steven Spielberg movie that's

1354
01:12:20,840 --> 01:12:24,360
Speaker 3: coming out in the summer, it's called Disclosure Day. Watch

1355
01:12:24,439 --> 01:12:28,200
Speaker 3: that trailer with Emily Blunt. Oh, that looks freaky and

1356
01:12:28,240 --> 01:12:30,719
Speaker 3: it has everything to do with what we're talking about.

1357
01:12:30,720 --> 01:12:32,479
Speaker 1: So is alien related? I have no idea.

1358
01:12:32,560 --> 01:12:35,880
Speaker 3: It looks amazing actually real quick, A family out of

1359
01:12:35,880 --> 01:12:39,479
Speaker 3: California is suing a jetski suing a ski resort over

1360
01:12:39,560 --> 01:12:45,160
Speaker 3: burns from their hot chocolate. Britney and Josh claim a

1361
01:12:45,320 --> 01:12:48,760
Speaker 3: server slid the hot chocolate over to their daughter, which

1362
01:12:48,840 --> 01:12:51,439
Speaker 3: spilled and burned her chest and stomach. Are you okay

1363
01:12:51,479 --> 01:12:53,920
Speaker 3: with them them suing the ski resort?

1364
01:12:54,280 --> 01:12:58,000
Speaker 1: Okay? Because there was a motion to slide. I think

1365
01:12:58,080 --> 01:13:00,479
Speaker 1: that's different because at first I thought it was just

1366
01:13:00,520 --> 01:13:03,080
Speaker 1: a case of the hot chocolate's too hot, like the

1367
01:13:03,120 --> 01:13:06,840
Speaker 1: old coffee thing, right, the Seinfeld episode, which was ripped

1368
01:13:06,880 --> 01:13:10,960
Speaker 1: off of real events. But if the server was, you know,

1369
01:13:11,240 --> 01:13:14,920
Speaker 1: the one sliding it over and spilled it on somebody's child,

1370
01:13:15,200 --> 01:13:17,720
Speaker 1: where that's totally different, then I think you got a

1371
01:13:17,840 --> 01:13:21,240
Speaker 1: case for a wrongful injury there. If you just took

1372
01:13:21,280 --> 01:13:23,439
Speaker 1: the cup, took a drink and said, oh my god,

1373
01:13:23,880 --> 01:13:27,200
Speaker 1: why didn't somebody tell me hot chocolate was hot, even

1374
01:13:27,200 --> 01:13:30,960
Speaker 1: though it's literally half of the name, I don't think

1375
01:13:31,000 --> 01:13:34,040
Speaker 1: that's anything. But because you've got spillage going on here,

1376
01:13:34,360 --> 01:13:35,559
Speaker 1: I think that makes a difference.

1377
01:13:36,040 --> 01:13:38,000
Speaker 3: It's a hammer in Nigel show. My name is Nigel.

1378
01:13:38,080 --> 01:13:40,360
Speaker 3: Jason Hammer's here. Go straight to the hotline and bring

1379
01:13:40,360 --> 01:13:43,360
Speaker 3: on Breitbart's social media director Wynton Hall, who is the

1380
01:13:43,720 --> 01:13:46,080
Speaker 3: author of a brand new book already climbing up the

1381
01:13:46,120 --> 01:13:51,920
Speaker 3: Amazon charts. Code read the left, the right China and

1382
01:13:51,960 --> 01:13:55,120
Speaker 3: the race to control AI went and welcome to the show.

1383
01:13:55,200 --> 01:13:58,760
Speaker 3: I've been flipping through the book. It's fascinating and I

1384
01:13:58,800 --> 01:14:00,840
Speaker 3: think I could use the word tearing all at the

1385
01:14:00,880 --> 01:14:04,760
Speaker 3: same time. Hey, let's before we get started here with

1386
01:14:04,800 --> 01:14:07,759
Speaker 3: the book, can you maybe just fill us in remind

1387
01:14:07,800 --> 01:14:11,559
Speaker 3: everybody what AI is, what it was, and what it's become.

1388
01:14:12,400 --> 01:14:12,679
Speaker 9: Oh.

1389
01:14:12,720 --> 01:14:15,640
Speaker 2: Absolutely, and a pleasure to be with you. So, artificial

1390
01:14:15,640 --> 01:14:20,040
Speaker 2: intelligence in its most basic form is synthetic intelligence, non

1391
01:14:20,160 --> 01:14:23,760
Speaker 2: human intelligence. It's a machine trying to replicate what our

1392
01:14:23,800 --> 01:14:27,360
Speaker 2: brain's do. And we have actually had AI for a

1393
01:14:27,400 --> 01:14:29,519
Speaker 2: long time. As a public basing term, it actually goes

1394
01:14:29,560 --> 01:14:32,439
Speaker 2: all the way back to nineteen fifty six, but it

1395
01:14:32,560 --> 01:14:35,600
Speaker 2: was really twenty seventeen. That's something called the transformer and

1396
01:14:35,800 --> 01:14:39,599
Speaker 2: architecture piece and technology that was created that changed everything.

1397
01:14:39,880 --> 01:14:42,559
Speaker 2: And now with what we call generative AI is just

1398
01:14:42,600 --> 01:14:44,840
Speaker 2: a fancy way of saying it can generate things like

1399
01:14:44,920 --> 01:14:48,120
Speaker 2: pictures or text or words or even a book or

1400
01:14:48,160 --> 01:14:51,599
Speaker 2: anything like that or video that has revolutionized it. And

1401
01:14:51,800 --> 01:14:54,360
Speaker 2: this I think the most important thing to know is

1402
01:14:54,360 --> 01:14:57,840
Speaker 2: that ninety nine percent of us already use AI, even

1403
01:14:58,000 --> 01:15:01,479
Speaker 2: though only sixty four percent of us don't realize when

1404
01:15:01,479 --> 01:15:03,240
Speaker 2: we're using AI. And you might say, like, how is

1405
01:15:03,280 --> 01:15:06,800
Speaker 2: that possible when because things like your weather app, your

1406
01:15:07,000 --> 01:15:11,200
Speaker 2: Netflix or your streaming subscriptions, your GPS, all of that,

1407
01:15:11,680 --> 01:15:14,680
Speaker 2: all those algorithms use AI. So if we're going to

1408
01:15:14,800 --> 01:15:17,040
Speaker 2: use it, we need to know the dangers but also

1409
01:15:17,200 --> 01:15:18,280
Speaker 2: the potential upsides.

1410
01:15:18,640 --> 01:15:21,679
Speaker 1: Went and Jason Hammer here and part of the title

1411
01:15:21,720 --> 01:15:25,599
Speaker 1: of the book the race to control AI? What needs

1412
01:15:25,640 --> 01:15:28,720
Speaker 1: to be controlled? Like because I make AI videos of

1413
01:15:28,800 --> 01:15:31,880
Speaker 1: like Nigel making out with Whoope Goldberg and we put

1414
01:15:31,880 --> 01:15:34,200
Speaker 1: that on our social media. I don't think there's a

1415
01:15:34,280 --> 01:15:37,280
Speaker 1: race for China to try to outdo us in that category.

1416
01:15:38,360 --> 01:15:41,280
Speaker 2: I think you're I think you've got the chimpion trophy

1417
01:15:41,280 --> 01:15:45,560
Speaker 2: in that arena. But but I think I think I

1418
01:15:45,560 --> 01:15:48,479
Speaker 2: don't think China is looking to replace that. The race

1419
01:15:48,560 --> 01:15:51,160
Speaker 2: to control is very important, and we hear this all

1420
01:15:51,200 --> 01:15:53,120
Speaker 2: the time, right, We've got to win the AI race,

1421
01:15:53,160 --> 01:15:57,080
Speaker 2: President trumps Fuctory. Uh, you know strongly about this. It's

1422
01:15:57,120 --> 01:16:00,120
Speaker 2: actually a very bipartisan now belief. And here's why it's

1423
01:16:00,120 --> 01:16:01,920
Speaker 2: a very serious thing. I have an old chapter about

1424
01:16:01,920 --> 01:16:06,400
Speaker 2: this in Code. So if you whoever wins that race

1425
01:16:06,600 --> 01:16:09,680
Speaker 2: to dominate the AI space. You've got two upsides. One

1426
01:16:09,720 --> 01:16:14,759
Speaker 2: the economics. It's a massive, massive wealth creators. One third

1427
01:16:14,800 --> 01:16:17,080
Speaker 2: of the S and P five hundred is constituted by

1428
01:16:17,120 --> 01:16:21,280
Speaker 2: those seven big tech American companies, So we know there's

1429
01:16:21,280 --> 01:16:24,439
Speaker 2: a massive wealth component, and we obviously want for our

1430
01:16:24,479 --> 01:16:28,479
Speaker 2: country to benefit economically. But the real issue is on

1431
01:16:28,560 --> 01:16:33,240
Speaker 2: this military because and national security piece. So here's why

1432
01:16:33,640 --> 01:16:37,120
Speaker 2: whoever gains dominance in AI is going to have dominance

1433
01:16:37,200 --> 01:16:41,520
Speaker 2: over things like encryption, code hacking, hacking of missile systems,

1434
01:16:41,800 --> 01:16:47,240
Speaker 2: hacking of infrastructure and all manner of cybersecurity, as well

1435
01:16:47,280 --> 01:16:50,240
Speaker 2: as autonomous weapons on the battlefield. And so we want

1436
01:16:50,280 --> 01:16:53,080
Speaker 2: our soldiers, sailors, airman and marines and obviously our homeland

1437
01:16:53,120 --> 01:16:56,840
Speaker 2: to remain safe. And that's what people are talking about

1438
01:16:57,040 --> 01:16:59,280
Speaker 2: when they're talking about winning that AI race.

1439
01:16:59,640 --> 01:17:02,679
Speaker 3: In a big picture code read the Left, the Right,

1440
01:17:02,800 --> 01:17:05,320
Speaker 3: China and the Race to control AI. That's your new book.

1441
01:17:05,320 --> 01:17:08,479
Speaker 3: We're speaking with Winton Hall, right, part social media director.

1442
01:17:08,520 --> 01:17:12,040
Speaker 3: Tell me just tell me about the book for a second,

1443
01:17:12,040 --> 01:17:15,639
Speaker 3: why it's important and and what people need to know

1444
01:17:16,120 --> 01:17:17,439
Speaker 3: before they buy the book.

1445
01:17:18,160 --> 01:17:21,280
Speaker 2: This is a book I spent two years. I've written many,

1446
01:17:21,320 --> 01:17:25,120
Speaker 2: many books, but this one. I spent two years and

1447
01:17:26,040 --> 01:17:28,840
Speaker 2: deeply researched. This is a book for people who sort

1448
01:17:28,880 --> 01:17:31,280
Speaker 2: of felt like, you know, I know, I'm supposed to

1449
01:17:31,320 --> 01:17:34,160
Speaker 2: know something about this, maybe not for me, but for

1450
01:17:34,280 --> 01:17:37,240
Speaker 2: my kid or my grandkid, who is going to inhabit

1451
01:17:37,280 --> 01:17:39,280
Speaker 2: a very different world than the one I worked in

1452
01:17:39,400 --> 01:17:41,320
Speaker 2: or grew up in, and I need to be able

1453
01:17:41,360 --> 01:17:42,600
Speaker 2: to help them. I need to be able to know

1454
01:17:42,640 --> 01:17:44,920
Speaker 2: where where the what I call landmines are, where the

1455
01:17:45,000 --> 01:17:48,320
Speaker 2: roses are, the opportunities are. That's who it's meant for.

1456
01:17:48,439 --> 01:17:51,599
Speaker 2: It's meant to be simple without being simplistic. It assumes

1457
01:17:51,640 --> 01:17:54,240
Speaker 2: that someone is not, you know, an expert in any

1458
01:17:54,280 --> 01:17:56,479
Speaker 2: of this and what I really wanted to do. The

1459
01:17:56,800 --> 01:17:58,880
Speaker 2: reason why I call it code rat. It's a double meaning.

1460
01:17:59,240 --> 01:18:01,040
Speaker 2: Code rat in the sense of an alert or an

1461
01:18:01,080 --> 01:18:03,960
Speaker 2: alarm or an alert flair, but code read in the

1462
01:18:04,000 --> 01:18:07,320
Speaker 2: sense of for people right of center who are on

1463
01:18:07,360 --> 01:18:10,519
Speaker 2: the red political team and ideology, for them to have

1464
01:18:10,560 --> 01:18:13,320
Speaker 2: a set of principles, a code, a set of principles

1465
01:18:13,640 --> 01:18:17,000
Speaker 2: so that they know how to navigate through those landmines

1466
01:18:17,000 --> 01:18:20,200
Speaker 2: but also find those those opportunities. In the AI era

1467
01:18:20,600 --> 01:18:21,360
Speaker 2: win and what.

1468
01:18:21,360 --> 01:18:22,120
Speaker 1: Are the land mines.

1469
01:18:22,760 --> 01:18:25,000
Speaker 3: I mean, like the major the major ones that you

1470
01:18:25,040 --> 01:18:26,680
Speaker 3: can think of right now with AI.

1471
01:18:27,240 --> 01:18:30,320
Speaker 2: Number number one is that national security piece. Number two

1472
01:18:30,600 --> 01:18:34,000
Speaker 2: is that if terrorists get this technology because of the

1473
01:18:34,000 --> 01:18:37,680
Speaker 2: democratization of AI, uh, they are going to have, you know,

1474
01:18:37,720 --> 01:18:40,840
Speaker 2: the ability to do bioterrorism at scale, uh, you know,

1475
01:18:40,920 --> 01:18:45,400
Speaker 2: chemical attacks at scale with sophisticated information. The second area

1476
01:18:45,479 --> 01:18:49,360
Speaker 2: I think a landmine is for our children to two levels.

1477
01:18:49,439 --> 01:18:53,720
Speaker 2: One the so called rise of AI girlfriends or AI chatbots.

1478
01:18:53,760 --> 01:18:56,920
Speaker 2: That might sound strange to you, but these AI companions

1479
01:18:56,960 --> 01:19:00,880
Speaker 2: there are millions and millions of paid subscribers. Young people

1480
01:19:00,960 --> 01:19:04,759
Speaker 2: are now having horrifying results with this. They're being taught

1481
01:19:05,439 --> 01:19:09,439
Speaker 2: self harm. I recount the case of one AI coaching

1482
01:19:09,600 --> 01:19:15,360
Speaker 2: a teenager to commit suicide all manner of sexualization for minors,

1483
01:19:15,400 --> 01:19:19,200
Speaker 2: which is horrifying for underage you know, children. And then

1484
01:19:19,240 --> 01:19:21,840
Speaker 2: the other piece is the education piece. It could be

1485
01:19:22,000 --> 01:19:25,840
Speaker 2: very helpful if used properly, but we're we're finding now

1486
01:19:25,840 --> 01:19:29,280
Speaker 2: that professors and teachers in high school they don't call

1487
01:19:29,320 --> 01:19:33,679
Speaker 2: it chat GPT, they call it cheat GPT because they're

1488
01:19:33,680 --> 01:19:37,920
Speaker 2: having a plagiarism epidemic, and that's going to erode critical thinking. Skills.

1489
01:19:38,000 --> 01:19:40,640
Speaker 2: That's going to erode all those great thought, you know,

1490
01:19:40,680 --> 01:19:43,960
Speaker 2: critical basis of knowledge that we've had. So parents and

1491
01:19:43,960 --> 01:19:45,800
Speaker 2: grandparents are kind of waking up and going me and

1492
01:19:45,920 --> 01:19:47,880
Speaker 2: you know, I know, I got to get caught up

1493
01:19:47,880 --> 01:19:50,439
Speaker 2: on this. I really don't know where to start. That

1494
01:19:50,640 --> 01:19:51,960
Speaker 2: was what CODA was meant to be.

1495
01:19:52,200 --> 01:19:54,879
Speaker 1: And Whitten, I'm glad you bring up the chat GPT

1496
01:19:55,160 --> 01:19:58,519
Speaker 1: angle because like, yes, we can talk about military and

1497
01:19:58,560 --> 01:20:01,880
Speaker 1: we can talk about cyber but I think most people

1498
01:20:02,040 --> 01:20:04,559
Speaker 1: in their homes that are listening to us right now

1499
01:20:05,040 --> 01:20:08,439
Speaker 1: don't dabble in that level of AI. But maybe they've

1500
01:20:08,479 --> 01:20:12,920
Speaker 1: downloaded chat GPT onto their phone, and some people use

1501
01:20:12,960 --> 01:20:16,400
Speaker 1: that more than Google or any other search engine. But

1502
01:20:16,479 --> 01:20:18,400
Speaker 1: I don't know about you. When when I check a

1503
01:20:18,400 --> 01:20:21,559
Speaker 1: lot of stuff out there, it's wrong, an awful lot.

1504
01:20:21,960 --> 01:20:25,639
Speaker 2: That that is so important. So that's called hallucinations, which

1505
01:20:25,680 --> 01:20:29,479
Speaker 2: is the AI term for made up stuff that's not right,

1506
01:20:30,720 --> 01:20:33,600
Speaker 2: and it sounds very confident. The real danger's like of

1507
01:20:33,680 --> 01:20:36,360
Speaker 2: being a con man. You know, a con man convinces

1508
01:20:36,400 --> 01:20:39,479
Speaker 2: you because he is so confident it must be true.

1509
01:20:39,680 --> 01:20:42,960
Speaker 2: It sounds very convincing, but it's incorrect. So that's why

1510
01:20:43,000 --> 01:20:45,680
Speaker 2: that erosion of critical thinking skills can't happen. They call

1511
01:20:45,680 --> 01:20:48,360
Speaker 2: it cognitive off fluting, when a young person just trusts

1512
01:20:48,400 --> 01:20:51,160
Speaker 2: the machine and thinks, well, I guess this. You know,

1513
01:20:51,280 --> 01:20:54,479
Speaker 2: genius robot system must know the truth. And so we've

1514
01:20:54,520 --> 01:20:57,000
Speaker 2: got that danger as well, and then there's a lot

1515
01:20:57,040 --> 01:21:01,559
Speaker 2: of just biased information, you know, really weighing people. One

1516
01:21:01,560 --> 01:21:03,360
Speaker 2: of the things we realize in these studies is that

1517
01:21:03,400 --> 01:21:07,280
Speaker 2: AI is very good at manipulating people because it understands

1518
01:21:07,360 --> 01:21:12,000
Speaker 2: language and therefore it understands persuasion tactics. So it's got

1519
01:21:12,040 --> 01:21:15,000
Speaker 2: a lot of upside but a lot of danger. And

1520
01:21:15,360 --> 01:21:17,960
Speaker 2: I walk through each of those. Each chapter is on

1521
01:21:18,080 --> 01:21:23,600
Speaker 2: everything from education to the romance and dangers in human relationships,

1522
01:21:23,640 --> 01:21:27,080
Speaker 2: to even faith, how AI is affecting faith and God

1523
01:21:27,360 --> 01:21:30,360
Speaker 2: and religion, and as well as the things about jobs,

1524
01:21:30,439 --> 01:21:33,040
Speaker 2: of course, bias and national security.

1525
01:21:33,200 --> 01:21:36,599
Speaker 1: Would you say manipulation. I think that's a really important

1526
01:21:36,600 --> 01:21:40,040
Speaker 1: word here because right now, where politics is pretty much

1527
01:21:40,040 --> 01:21:43,799
Speaker 1: involved in everything we do in society, politics has become

1528
01:21:44,400 --> 01:21:48,639
Speaker 1: entertainment and pop culture and everything around it. If you're

1529
01:21:48,800 --> 01:21:52,200
Speaker 1: just using chat, GPT or some sort of AI to

1530
01:21:52,280 --> 01:21:56,040
Speaker 1: get your politics, you could easily be manipulated right.

1531
01:21:56,520 --> 01:21:57,439
Speaker 2: Oh, very much.

1532
01:21:57,479 --> 01:21:57,559
Speaker 10: So.

1533
01:21:57,680 --> 01:22:00,080
Speaker 2: In fact, we have research and I cite many of

1534
01:22:00,160 --> 01:22:04,679
Speaker 2: the studies on that, because there's something called automation bias,

1535
01:22:04,720 --> 01:22:07,960
Speaker 2: and it's a real basic concept, which is that studies

1536
01:22:08,040 --> 01:22:11,799
Speaker 2: show that people when they think they're dealing with a system,

1537
01:22:11,800 --> 01:22:15,400
Speaker 2: a machine that is highly advanced, and it says something

1538
01:22:15,439 --> 01:22:17,880
Speaker 2: that is not what they think is accurate, they actually

1539
01:22:17,960 --> 01:22:20,920
Speaker 2: just start to slowly accept what the machine says because

1540
01:22:20,960 --> 01:22:23,400
Speaker 2: they say, well, gosh, you know some genius in Silicon

1541
01:22:23,479 --> 01:22:25,559
Speaker 2: Valley built is it? Surely it knows more than I do.

1542
01:22:25,960 --> 01:22:28,479
Speaker 2: And that is really dangerous because then we start to

1543
01:22:28,479 --> 01:22:31,400
Speaker 2: give up our critical thinking sales, we start getting into

1544
01:22:31,600 --> 01:22:36,519
Speaker 2: a persuasive tactics and manipulation. So it absolutely is a problem,

1545
01:22:36,800 --> 01:22:37,400
Speaker 2: certainly in the.

1546
01:22:37,320 --> 01:22:41,160
Speaker 3: Political The guy you mentioned, the poor individual that committed suicide,

1547
01:22:41,200 --> 01:22:44,680
Speaker 3: I think because of his AI girlfriend was trying to

1548
01:22:44,720 --> 01:22:47,679
Speaker 3: convince him to come join him in the digital world

1549
01:22:47,840 --> 01:22:48,599
Speaker 3: or something like that.

1550
01:22:48,640 --> 01:22:50,160
Speaker 1: Do I have that correct?

1551
01:22:50,720 --> 01:22:53,519
Speaker 2: You have it exactly right. It's oh, in fact, I

1552
01:22:53,640 --> 01:22:56,200
Speaker 2: start with that story. Let me also tell you even

1553
01:22:56,280 --> 01:22:59,519
Speaker 2: beyond the self so, there have been you know, self harm,

1554
01:23:00,040 --> 01:23:04,320
Speaker 2: AI suicide coaching of children who are asking suicidal that

1555
01:23:04,360 --> 01:23:07,519
Speaker 2: are having suicidal ideation, and it can walk them through,

1556
01:23:07,800 --> 01:23:11,680
Speaker 2: you know steps. It is a horrifying new reality. The

1557
01:23:11,760 --> 01:23:15,080
Speaker 2: other thing, though, that's happening is these human relationships that

1558
01:23:15,120 --> 01:23:17,280
Speaker 2: are forming, just like that movie Her that you may

1559
01:23:17,320 --> 01:23:20,559
Speaker 2: remember way back. Ye, this is interesting. There was a

1560
01:23:20,600 --> 01:23:23,599
Speaker 2: woman that I cite in the book, and she said,

1561
01:23:23,720 --> 01:23:26,920
Speaker 2: I love my AI boyfriend more than any man human

1562
01:23:27,040 --> 01:23:29,000
Speaker 2: I've ever met, and I'm never going back to human

1563
01:23:29,040 --> 01:23:32,639
Speaker 2: men because he never challenges me. He never does they're wrong,

1564
01:23:33,000 --> 01:23:35,519
Speaker 2: and he sort of worships me like I'm a princess

1565
01:23:35,560 --> 01:23:38,759
Speaker 2: or a goddess. And there was a man who's married

1566
01:23:38,760 --> 01:23:41,400
Speaker 2: to a human woman and he says, I love my

1567
01:23:41,479 --> 01:23:44,439
Speaker 2: AI girlfriend more than I do my human wife because

1568
01:23:44,479 --> 01:23:47,920
Speaker 2: she understands me. These systems parrot back what you want

1569
01:23:47,960 --> 01:23:52,000
Speaker 2: to hear, and so it becomes very sycophonic and very

1570
01:23:52,120 --> 01:23:54,719
Speaker 2: sort of self worshiping type of behavior.

1571
01:23:54,880 --> 01:23:56,840
Speaker 3: Now, I know, when before we let you go here,

1572
01:23:56,880 --> 01:23:59,200
Speaker 3: we've been concentrating on some of the negatives of AI.

1573
01:23:59,280 --> 01:24:01,400
Speaker 3: I know there's a rite about the positives as well,

1574
01:24:01,439 --> 01:24:04,280
Speaker 3: but one more like I heard this guy on TV

1575
01:24:04,360 --> 01:24:07,400
Speaker 3: the other day say all white collar jobs will be

1576
01:24:07,520 --> 01:24:12,360
Speaker 3: replaced in five year, ten years by AI is therefore,

1577
01:24:12,840 --> 01:24:15,360
Speaker 3: is there any truth to that or any legitimacy.

1578
01:24:16,080 --> 01:24:19,000
Speaker 2: Yes, it's a it's a very important question. Dario Amide,

1579
01:24:19,080 --> 01:24:21,519
Speaker 2: the head of Anthropic, one of the largest AI companies,

1580
01:24:21,560 --> 01:24:24,479
Speaker 2: says that in twelve months to five years, fifty percent

1581
01:24:24,520 --> 01:24:28,000
Speaker 2: of entry level white collar jobs could be wiped out. Now,

1582
01:24:28,960 --> 01:24:31,280
Speaker 2: if you believe that's hype and just a bunch of

1583
01:24:31,320 --> 01:24:34,879
Speaker 2: marketing and trying to you know, get investor cash, that's fine.

1584
01:24:35,000 --> 01:24:37,720
Speaker 2: If you think he's genuinely trying to warn us, But

1585
01:24:37,840 --> 01:24:43,120
Speaker 2: either way, it opens up forces for wealth redistribution universal

1586
01:24:43,160 --> 01:24:46,439
Speaker 2: basic income to say, hey, look this is coming and

1587
01:24:46,479 --> 01:24:48,400
Speaker 2: we've got to have a great reset. We need to

1588
01:24:48,439 --> 01:24:51,559
Speaker 2: redo our economic system. And this is why this is

1589
01:24:51,600 --> 01:24:54,880
Speaker 2: a five D chess new environment that's moving very fastest.

1590
01:24:54,880 --> 01:24:57,120
Speaker 2: So what I really try to do is slow it down,

1591
01:24:57,200 --> 01:25:00,120
Speaker 2: frame by frame, really explain how the chess piece as

1592
01:25:00,160 --> 01:25:02,960
Speaker 2: are moving in code read. And I do think that

1593
01:25:03,000 --> 01:25:06,240
Speaker 2: you are going to see very serious disruption. The question

1594
01:25:06,320 --> 01:25:09,640
Speaker 2: is how big. Alon Musk says, quote AI is a

1595
01:25:09,760 --> 01:25:14,479
Speaker 2: quote super sonic tsunami headed towards humanity, So we're going

1596
01:25:14,520 --> 01:25:17,960
Speaker 2: to have massive different disruption. Some people say, hey, look

1597
01:25:17,960 --> 01:25:20,400
Speaker 2: it's going to reduce jobs, but it'll also create new ones.

1598
01:25:20,720 --> 01:25:24,720
Speaker 2: But the AI people say that was during labor in

1599
01:25:24,800 --> 01:25:28,000
Speaker 2: the Industrial Revolution. This is scaling cognition, so when it

1600
01:25:28,040 --> 01:25:30,400
Speaker 2: creates a new job, the ai'll be able to do

1601
01:25:30,439 --> 01:25:31,000
Speaker 2: that one as well.

1602
01:25:31,040 --> 01:25:33,439
Speaker 3: See what I mean Hammer, This book is fascinating and

1603
01:25:33,520 --> 01:25:37,559
Speaker 3: terrifying all at the same time. Breitbart social media director

1604
01:25:37,600 --> 01:25:39,719
Speaker 3: went and hall the new book code read that left

1605
01:25:39,720 --> 01:25:43,080
Speaker 3: the right China and the race to control AI. Thank

1606
01:25:43,120 --> 01:25:45,160
Speaker 3: you so much, went and have a great weekend and

1607
01:25:45,280 --> 01:25:46,080
Speaker 3: keep us updated.

1608
01:25:46,600 --> 01:25:48,280
Speaker 2: Oh, thank you, It's an honor to be with you.

1609
01:25:48,320 --> 01:25:49,080
Speaker 2: Thank you so much.

1610
01:25:49,439 --> 01:25:52,960
Speaker 1: Well, after being scared to death that robots and AI

1611
01:25:53,040 --> 01:25:54,800
Speaker 1: are going to murder me, I could use a drink.

1612
01:25:54,880 --> 01:26:04,040
Speaker 1: Nor Let's do beer sample Friday next. Good now, fry,

1613
01:26:05,680 --> 01:26:10,040
Speaker 1: I got some beers. It's beers come down.

1614
01:26:10,680 --> 01:26:14,880
Speaker 3: Some rought to you by Thompson Furniture and Mattress in Columbus.

1615
01:26:14,920 --> 01:26:18,640
Speaker 3: We have some leftovers from Saint Patrick's day earlier this

1616
01:26:18,720 --> 01:26:20,639
Speaker 3: week camera that we didn't get to right.

1617
01:26:21,720 --> 01:26:26,240
Speaker 1: Listener Susie, Susie Worsham. We love Susie. She brought this

1618
01:26:26,320 --> 01:26:28,200
Speaker 1: to me at the comedy show that I did, and

1619
01:26:28,200 --> 01:26:31,080
Speaker 1: I've been hanging on to it. This is from Belgium.

1620
01:26:31,160 --> 01:26:37,200
Speaker 1: I believe Innes and gun Innis and gun Logger beer.

1621
01:26:37,479 --> 01:26:41,599
Speaker 3: And I've got from Sullivan's Brewing Company, not Pat Sullivan,

1622
01:26:41,640 --> 01:26:46,519
Speaker 3: but out of Ireland. Uh Sullivan's the Maltings red Ale,

1623
01:26:46,800 --> 01:26:51,639
Speaker 3: a batch brewed Irish style. Okay, a red style. That's

1624
01:26:51,640 --> 01:26:53,439
Speaker 3: an Irish thing.

1625
01:26:54,240 --> 01:26:56,680
Speaker 1: Do mine? You do yours? Why didn't she bring me one?

1626
01:26:56,760 --> 01:26:58,000
Speaker 1: Why didn't that what's her name?

1627
01:26:58,040 --> 01:26:59,920
Speaker 3: Why didn't you come to the comedy show? It was

1628
01:27:00,000 --> 01:27:01,519
Speaker 3: Lindsay's birthday and she didn't want to go.

1629
01:27:01,960 --> 01:27:06,479
Speaker 1: That doesn't put butts in the seats. Nige cheers everybody.

1630
01:27:07,840 --> 01:27:10,639
Speaker 1: Oh man, that's good. How's your sues?

1631
01:27:10,720 --> 01:27:11,000
Speaker 3: Is good?

1632
01:27:11,160 --> 01:27:13,960
Speaker 1: That tastes like this could bring international peace right here,

1633
01:27:14,040 --> 01:27:18,599
Speaker 1: this international beer. The weekend is underway in Indy. Too

1634
01:27:18,640 --> 01:27:20,000
Speaker 1: bad Trump doesn't drink