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Speaker 1: Good evening and welcome to the nightcat on seven hundred

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Speaker 1: w l W Gary Jeff Walker on this Monday night,

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Speaker 1: sitting down check it in a ride I hope you

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Speaker 1: will take with us right up till midnight tonight.

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Speaker 2: Fantastic weekend for me. I mean, for one, while blue

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Speaker 2: Hairs were marching all over the country to supplement their

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Speaker 2: Social Security checks by getting paid by the Soros family

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Speaker 2: to participate in the No Kings marches around the country,

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Speaker 2: I was having the No Commies sit in at huddles

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Speaker 2: and we had a bunch of people with their MAGA

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Speaker 2: hats on and Trump shirts. I had my Gulf of

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Speaker 2: America shirt. It was really, really fantastic, and nobody was

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Speaker 2: paid to be In fact, they paid to be there

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Speaker 2: by buying drinks. Hello to Jack and Dana from New Richmond,

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Speaker 2: Al from Cleaves and the scores of others who joined us.

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Speaker 2: On Saturday afternoon, while people were standing up being an

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Speaker 2: annoyance to everyone in blocking traffic and all the rest

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Speaker 2: of the things that the No Kings crowd does, we

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Speaker 2: were having a good time watching football and man, what

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Speaker 2: a great football Saturday it was. What a great football

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Speaker 2: weekend it was for me? Anyway, my Vandy Commodores advanced

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Speaker 2: to six and one, just like the UC Bearcats advancing

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Speaker 2: to six and one on this college football season, and

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Speaker 2: there are hints and rumors and allegations of possibly playoff

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Speaker 2: action playoffs for both those teams, which I root for,

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Speaker 2: the Bearcats and the Commodoores. And then yesterday in the NFL,

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Speaker 2: my Kansas City Chiefs took down the Lowly Raiders thirty

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Speaker 2: one to nothing, the first time that Andy Reid has

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Speaker 2: pitched a shutout as a coach in the NFL. During

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Speaker 2: the regular season. Patrick Mahomes, my mahomie was on full display.

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Speaker 2: We'll talk about all that little later on with the

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Speaker 2: wild Man Dennis Wildman Walker. Also on tonight's show, Jeff

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Speaker 2: Dornick from a company called Pickaxe. It's a social media company,

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Speaker 2: and we're going to be talking about the dangers, the

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Speaker 2: real threats posed to all of us by AI and

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Speaker 2: what Bill Gates and Elon musk Haven plan for the

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Speaker 2: planet and it doesn't include a lot of us as

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Speaker 2: human beings. John Lott from the Crime Prevention Research Center

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Speaker 2: in Washington, d C. With the latest data on what's

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Speaker 2: going on around the country, no matter whether you're listening

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Speaker 2: to Democrats or Republicans or President Trump. They've got the

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Speaker 2: actual numbers on crime and what's working and what's not.

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Speaker 2: At twelve thirty, Peter Lumage, who is a first generation

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Speaker 2: American from Albania, a country of communism, and we'll be

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Speaker 2: exploring why communism, i e. Socialism never works. It didn't

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Speaker 2: in his home country and it won't hear in America.

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Speaker 2: Manelli Derek Shaani and I've been taking pronunciation lessons all

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Speaker 2: day long trying to learn this name. He is a

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Speaker 2: senior science advisor at the CO two Coalition in Washington,

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Speaker 2: d C. With again, actual numbers and data when it

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Speaker 2: comes to the climate and what you ought to know.

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Speaker 2: And of course, in just a few moments, we will

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Speaker 2: have for you. Megan Thompson. Who is Megan Thompson. She's

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Speaker 2: the CEO of a group called Dress for Success, a

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Speaker 2: nonprofit here locally, and when I met her last week,

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Speaker 2: she actually was a custer of mine, a customer of

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Speaker 2: mine at the bar. When I met her, I thought,

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Speaker 2: what a classy lady. Number one and number two. I

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Speaker 2: love the idea of trying to help women get back

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Speaker 2: on their feet after any situation. Human trafficking, or from

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Speaker 2: bad economic past or whatever, get back up on their

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Speaker 2: feet and become an active participant in a great capitalist

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Speaker 2: free market that is the United States of America. We'll

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Speaker 2: talk to Megan Thompson in just a moment as we

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Speaker 2: continue on this Monday night cap on seven hundred WLW.

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Speaker 2: As I mentioned at the top of the show, our

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Speaker 2: first guest tonight is something that.

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Speaker 3: Happened truly by accident.

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Speaker 2: I was doing my day job, my side hustle bartending

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Speaker 2: last week and incomes one of the most elegant people

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Speaker 2: I've ever had inside that bar, for sure, a stunning

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Speaker 2: who I wound up having a conversation with and found

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Speaker 2: her to be even more charming as the conversation continued.

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Speaker 2: She was there as a customer as I was d

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Speaker 2: slinging drinks for Hillbillies and others, and she decided on

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Speaker 2: something she was in between going to a meeting, wanted

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Speaker 2: to have a little beverage. There's nothing wrong with that,

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Speaker 2: and she gave me your card and I asked what

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Speaker 2: she did, and she said, I'm the CEO of Dress

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Speaker 2: for Success, the president and CEO. I said, I've heard

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Speaker 2: of that, So Dress for Success Cincinnati's president and CEO

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Speaker 2: of that organization, which I think is a fantastic nonprofit,

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Speaker 2: is with us to start to show tonight. Megan Thompson,

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Speaker 2: Hello and welcome to the nightcap on seven hundred WLW.

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Speaker 3: How are you.

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Speaker 4: I am doing wonderful and thank you so much for

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Speaker 4: having me and for that lovely introduction. I'm over here

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Speaker 4: blessing out myself.

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Speaker 2: Well, I mean, but you you said, I don't know

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Speaker 2: what's dressed like this.

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Speaker 3: I just came from a photo shoot. But I'd tell

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Speaker 3: you what.

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Speaker 2: You made an impression on everybody that was in the bar,

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Speaker 2: including me, and then we started talking, and that was

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Speaker 2: only enhanced. The impression was only enhanced by our conversation.

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Speaker 2: So explain to me real quickly what Dress for Success

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Speaker 2: Cincinnati does and how you got started doing it.

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Speaker 4: Absolutely so, Dress for Success Cincinnati is a nonprofit organization

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Speaker 4: that focuses on helping women reach financial self sufficiency and

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Speaker 4: we do that by providing professional attire in a network

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Speaker 4: of support. So what that looks like simply is any woman,

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Speaker 4: it does not matter what her zip code is, what

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Speaker 4: her age is, her race, any of that stuff, It

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Speaker 4: does not matter. She comes through our doors and she

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Speaker 4: can sign up for any of us our services. The

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Speaker 4: unique thing about us is there's no actual starting point,

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Speaker 4: and that if a woman wants to come and start

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Speaker 4: in our styling services where she receives professional attire, we

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Speaker 4: start with her there. If she wants to start in

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Speaker 4: our career center, where we're offering that further network of

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Speaker 4: support in terms of one on one coaching, job placement,

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Speaker 4: career search, resume building, mock interviews, then she can start there.

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Speaker 4: She can do all things at once, she can come once.

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Speaker 4: We're extremely flexible because we're all about meeting women where

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Speaker 4: they are, you know, and.

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Speaker 2: Not just for women's sake, Megan, but there are many

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Speaker 2: especially gen z right now, who have no idea how

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Speaker 2: to introduce themselves to the world of twenty twenty five

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Speaker 2: in business, have no ideas. Many many times they just

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Speaker 2: weren't equipped or educated in this social skills or the

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Speaker 2: things that it takes to actually succeed, which obviously you

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Speaker 2: had a pass for you knew and how did you

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Speaker 2: come to be a part of this and what's your background?

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Speaker 5: Like?

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Speaker 4: Oh, thank you so much for asking, because you're exactly

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Speaker 4: right in today's society, especially here in Cincinnati and the

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Speaker 4: Greater Cincinnati area. Everything is about relationships. And we've heard

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Speaker 4: it for years. It's not about what you know, it's

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Speaker 4: who you know. And then for a while we said, no,

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Speaker 4: you have to know what you know. And I think

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Speaker 4: it's starting to trend back to the who you know.

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Speaker 4: And the reason this is so important to your point

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Speaker 4: is that when you meet someone new, and obviously I

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Speaker 4: don't meet a stranger, and when you meet someone new,

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Speaker 4: how do you make that lasting impression to build connections?

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Speaker 4: So two people walk into a bar, in this case,

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Speaker 4: one person walks into a bar, and now here we are.

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Speaker 4: It's so important that when we are talking with people,

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Speaker 4: we know how to one hold a conversation, how to listen,

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Speaker 4: and how to respond. And I have seen these things

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Speaker 4: make or break some people on job interviews. And I

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Speaker 4: came up from I'm the daughter of an immigrant mother,

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Speaker 4: proudly first gen American on her side. She came to

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Speaker 4: this country from Costa Rica when she was in her

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Speaker 4: college years, attended college here, married my father, who is

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Speaker 4: a Southern man, and so I was raised with no excuses,

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Speaker 4: you know, lend respect and shake people's hands. I'm a millennial.

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Speaker 4: When I used to call my friend's house, I would say, hi,

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Speaker 4: mister or missus so, and so, how's your day going.

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Speaker 4: That's excellent, it's Maddie home. And you have to learn

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Speaker 4: how to have these conversations, and those tools are missing

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Speaker 4: and absence from our society.

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Speaker 3: Now.

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Speaker 4: Then you asked a little bit about my path I

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Speaker 4: actually started my career. I have my master's degree in

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Speaker 4: public administration as well as the master of American Government.

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Speaker 4: And as you can tell from me talking, I've always

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Speaker 4: wanted to be in a role that allows me to

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Speaker 4: use my voice, and so I wanted to go into law.

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Speaker 6: WHOA Megan twenty two thousand and eight.

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Speaker 3: Yes, you dropped out just for a moment. You said

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Speaker 3: you graduated where.

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Speaker 4: I graduated in two thousand and eight, right during the recession,

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Speaker 4: from Elon University, and so I felt my options were

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Speaker 4: extremely limited, and I went into banking. And my entire

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Speaker 4: career I've been in banking, but always in spaces where

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Speaker 4: I can use my voice and speak to others, and

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Speaker 4: I learned through that being able to connect with people

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Speaker 4: from all different backgrounds people. Most recently I was in

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Speaker 4: wealth management and that's where I came to Dress for

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Speaker 4: Success Cincinnati from and you realize that people acqui or

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Speaker 4: wealth from all different ways, and people lose wealth in

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Speaker 4: all different ways. And so again here at Dress for

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Speaker 4: Success Cincinnati, we want to help women find economic self sufficiency.

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Speaker 4: And one of the ways to do that is ensuring

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Speaker 4: you are confident and competent with who you are and

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Speaker 4: you're able to present that to others. So that's what

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Speaker 4: we're really doing here.

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Speaker 3: That's a wonderful, wonderful concept.

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Speaker 2: And I just I love the fact that you are

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Speaker 2: actually making significant positive changes in these women's lives. You

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Speaker 2: know what, you came up during the recession and times

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Speaker 2: were kind of dicey in two thousand and eight, as

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Speaker 2: we all remember, But you know what, we just got

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Speaker 2: through with this COVID period where there was total isolation,

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Speaker 2: and there are a lot of people that may come

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Speaker 2: to you who don't even know how to look someone

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Speaker 2: in the eye when they're addressing them, and because of

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Speaker 2: the socialization isolation and the fact that their whole lives

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Speaker 2: were all of a sudden put on hold online and

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Speaker 2: there was no person to person interaction.

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Speaker 3: Is that part of what you're trying to do with

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Speaker 3: these folks, do.

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Speaker 6: Yes?

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Speaker 4: And it's not just that a lot of the women

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Speaker 4: that we're working with. Look eighty nine percent of the

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Speaker 4: women that we serve our women who are below the

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Speaker 4: poverty line. In addition to that, women we serve comes

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Speaker 4: from all different referral sources. They can, like I mentioned

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Speaker 4: at the top of the hour, women can come into

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Speaker 4: our center just from word of mouth or because they

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Speaker 4: know someone. But we also receive referrals from places like

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Speaker 4: her Cincinnati or River City Correctional And so we have

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Speaker 4: women who are overcoming unimaginable circumstances from being sex trafficked,

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Speaker 4: to being abused, being in relationship ships that have not

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Speaker 4: been the best, or been in really terrible situations. Maybe

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Speaker 4: they're overcoming incarceration, and they come here not just because

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Speaker 4: we provide a place of hope and accountability and resources,

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Speaker 4: but also we help for store dignity. You mentioned not

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Speaker 4: even knowing how to look someone in the eye. Sometimes

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Speaker 4: the women we serve don't believe that they're worth looking

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Speaker 4: someone in the eye, or that they're valuable enough for.

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Speaker 3: Them to be seen.

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Speaker 4: And so reshifting that mindset to help women know that

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Speaker 4: they matter and they're worth in investing in. And we

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Speaker 4: know studies and statistics show that when women are successful,

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Speaker 4: communities are successful, children are successful, there's less crime rates.

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Speaker 4: And so we know crime, for example, in Cincinnati, has

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Speaker 4: been an explosion when we invest back into women. We

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Speaker 4: know that all of these things have a benefit just

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Speaker 4: by connection. So children are being educated better because moms

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Speaker 4: can stay home and help them and pick them up

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Speaker 4: after school, and they have safer environments, and they have

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Speaker 4: healthier meals which leads to better behavior outcomes and more

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Speaker 4: food security, which means that there's less crime in our streets.

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Speaker 4: And all of these things are related.

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Speaker 3: Have you got connections I'm certain you do with the

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Speaker 3: business community here and helping placement for these women after

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Speaker 3: they've gone through your programs.

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Speaker 4: So that's another wonderful thing about the city of Cincinnati

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Speaker 4: and also Northern Kentucky. When I met you, I was

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Speaker 4: coming from an event with the Cincinnati Regional Chamber, and

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Speaker 4: that is one organization that offers plenty of events for

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Speaker 4: people to get connected and build their skill set and

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Speaker 4: business acumen. But it's also a great place to meet

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Speaker 4: other nonprofits and business owners, as is the Northern Kentucky Chamber.

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Speaker 4: There's business owners from the Northern Kentucky Chamber who have

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Speaker 4: donated their services to Dress for Success Cincinnati to help

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Speaker 4: women get headshots to ensure that they're being styled in

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Speaker 4: a way that matches their body type, and even what's

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Speaker 4: called color matching. So are the colors you where? Do

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Speaker 4: they actually reflect well on your skin tone and help

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Speaker 4: you to be welcomed well into a room. There's a

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Speaker 4: crazy science behind it. And even connecting again with places

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Speaker 4: like Bethany House, her Cincinnati shelter House. There's the Life

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Speaker 4: Learning Center we are over at. We have two satellite locations,

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Speaker 4: one in Loveland and one in Covington, and the care

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Speaker 4: Center is in Loveland and the Life Learning Center in Covington.

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Speaker 4: And these are opportunities for us again partner with other

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Speaker 4: organizations and utilize our resources to not compete in trying

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Speaker 4: to serve the same population with the same thing over

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Speaker 4: and over. But how can we really create a continuum

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Speaker 4: of care so when women leave us, they know the

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Speaker 4: next step and they know they're going to be handled

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Speaker 4: well there and vice versa.

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Speaker 2: Well, Megan Thompson, A pleasure to meet you originally a

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Speaker 2: pleasure to talk to you tonight and let everybody know

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Speaker 2: if they want to find out more about Dress for

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Speaker 2: success Cincinnati. They can go to the website dfs Sincy.

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Speaker 2: That's dfs CI Ncy dot org. And if you know

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Speaker 2: any ladies that are trying to get a foothold on

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Speaker 2: life and improve their lot and uh be a part,

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Speaker 2: a productive part of society and be successful, maybe this

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Speaker 2: is a direction you should send him in d fs

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Speaker 2: CI Ncy dot org. Again is the website, and Megan,

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Speaker 2: thank you so much. Hope to see at the bar

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Speaker 2: again sometime.

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Speaker 4: Thank you our plan.

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Speaker 6: It's a pleasure, all right.

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Speaker 3: I'll make sure that I have vermouth and olives. I

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Speaker 3: promise I appreciate it, no doubt about it.

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Speaker 2: Jeff Dornick from Pickaxe, a social media server you may

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Speaker 2: not have heard of, but you may be hearing a

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Speaker 2: lot about here in the next coming months. Will be

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Speaker 2: up right after News, which is next on seven hundred WLW.

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Speaker 2: How is social media impacting our lives? And we'll impact

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Speaker 2: our lives automation. What are Bill Gates and Elon Musk's

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Speaker 2: plan for humanity other than maybe to eliminate us? Famous

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Speaker 2: quotes by Bill Gates along the way years ago he said,

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Speaker 2: I think the Earth's population really should be about five

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Speaker 2: hundred million we've got to find a way to get there.

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Speaker 2: All the other nonsense that you've heard, and is it

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Speaker 2: all just fear mongering or do we really have something

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Speaker 2: to fear from AI and social media in the digital age.

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Speaker 2: A guy that's our guest next is the CEO and

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Speaker 2: founder of Pickax, a groundbreaking social media platform built on

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Speaker 2: two uncompromising principles, freedom of speech and freedom of reach.

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Speaker 2: His newest book is called Following the Leader, and we

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Speaker 2: welcome him now. Jeff Dornick, thanks for coming on the

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Speaker 2: Nightcap tonight on seven other WLW. How are you doing

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Speaker 2: really well?

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Speaker 5: Thanks for me. I've been looking forward to chat with you.

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Speaker 2: Yeah, me too when I found out you were available.

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Speaker 2: This is right down my alley of stuff I want

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Speaker 2: to expose and talk about because so many people have

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Speaker 2: questions on our future and how technology plays a role.

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Speaker 2: And you know, for decades, I know this is true,

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Speaker 2: that we've been sold that technology is our savior, that

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Speaker 2: innovation is progress.

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Speaker 3: And it's so funny, Jeff.

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Speaker 7: Uh.

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Speaker 2: The more I look at what some people call progress,

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Speaker 2: I find very regressive and very anti human, and you

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Speaker 2: may find the same thing.

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Speaker 3: But tell me again.

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Speaker 2: About pickacts first, and then about how you're trying to

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Speaker 2: maybe bridge that gap between technology and humanity.

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Speaker 3: Tell me about pick as, Yeah, definitely.

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Speaker 5: Yeah.

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Speaker 7: So with Pickax, it's a social media platform that we've

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Speaker 7: that we've developed, been building it up for a couple

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Speaker 7: of years now, and we uh the web versions out

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Speaker 7: right now. We're dropping the iOS and android app here

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Speaker 7: in the next couple of weeks. And you know, the

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Speaker 7: whole idea is just how can we have the most

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Speaker 7: human centered social media platform on the on the planet.

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Speaker 5: And so everything we do is from.

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Speaker 7: The from the perspective of how do we help human

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Speaker 7: content creators. How do we help you know, writers, journalists, rumble,

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Speaker 7: live streamers, you know, you know, people with podcasts.

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Speaker 5: How do we help them all?

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Speaker 7: Because what's happening on these you know, mainstream social media

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Speaker 7: platforms is that they're they're leaning very heavily into artificial intelligence,

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Speaker 7: and they're leaning very heavily into algorithms and Elon must

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Speaker 7: just the other day just just announce that they're going

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Speaker 7: to now essentially make it to where you're following, so

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Speaker 7: the number of people that follow you has no bearing

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Speaker 7: on your ability to be seen. Now it's just all

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Speaker 7: going to be based on AI and the algorithm. So

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Speaker 7: now your your job, essentially, according to Elon, is to

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Speaker 7: write content that the algorithm likes, that the AI likes,

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Speaker 7: and then the AI will decide whether your content gets

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Speaker 7: seen as opposed to you being able to build your

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Speaker 7: own community, build your own audience and all that. So

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Speaker 7: with Pickaxe, what we're doing is we're just we're making

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Speaker 7: it to where you can build an actually your own audience,

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Speaker 7: and you can have direct access to your own audience.

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Speaker 7: We're not going to get in the way, we're not

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Speaker 7: going to get in the middle. And then we're just

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Speaker 7: developing a whole bunch of features that helped you amplify that.

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Speaker 7: And the way that I've set up our business model

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Speaker 7: is that we only whin we only we only generate

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Speaker 7: revenue as a platform when we help our human content

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Speaker 7: creators to actually thrive and succeed. So it's just a

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Speaker 7: completely different outlook on social media. It's kind of like

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Speaker 7: we're taking it back to the way that social media

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Speaker 7: was intended to be, which is social.

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Speaker 5: So that's what we're trying to do at pickax Fantastic.

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Speaker 2: Now, let me ask you this I've been told by

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Speaker 2: other people in the know, is that soon there will

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Speaker 2: be no human generated contact or I'm sorry, there'll be

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Speaker 2: no human generated content on the Internet at all, because

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Speaker 2: AI is now just regurgitating AI. And the problem with

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Speaker 2: AI not only the algorithms and writing to what it

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Speaker 2: likes according based on the algorithms, but AI has been

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Speaker 2: known to hallucinate and just entirely make things up. You

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Speaker 2: find that that's true.

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Speaker 5: No, it's definitely, it's definitely true.

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Speaker 7: And also to you know, we also have to remember

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Speaker 7: the AI is only as good as the as the

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Speaker 7: database that it pulls information from it, and only as

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Speaker 7: good as the bias that the programmer programs into it.

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Speaker 7: But it's interesting too because Mark Zuckerberg is investing I

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Speaker 7: think it's sixty five billion dollars into developing artificial intelligence

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Speaker 7: specifically for the purpose of creating AI generated content creators.

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Speaker 7: And their in game is to actually turn humans on

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Speaker 7: Facebook and Instagram into consumers only, and that they would

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Speaker 7: then use AI to be the content creators. And then

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Speaker 7: that way guys like Zuckerberg could say, oh, yeah, we're

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Speaker 7: a free speech platform. Well yeah, because you control the

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Speaker 7: speech that's on there, and you control the creators that

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Speaker 7: are on there, and then which makes it easier for

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Speaker 7: you to sell advertising and promote whatever narratives you want

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Speaker 7: to promote and all that. So and also too, then

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Speaker 7: they won't have to do any kind of revenue share

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Speaker 7: with their content creators that are on their platform. So

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Speaker 7: that's that's where they're going. And I think that you know,

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Speaker 7: when we look at what's happening on all these tech platforms,

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Speaker 7: and you know, they're using us the people, in order

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Speaker 7: to fuel their AI, which in their mind is going

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Speaker 7: to replace us. For example, a lot of people don't

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Speaker 7: realize this, but recently Elon Must sold X essentially to himself,

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Speaker 7: but X is now owned by Xai, So xai owns

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Speaker 7: x Y because X is the database that they're pulling

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Speaker 7: all the information from. So all of our tweets, all

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Speaker 7: of our posts on X are going in order to

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Speaker 7: build up the artificial intelligence that is going to replace

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Speaker 7: us as the content creators like make it make sense, well.

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Speaker 2: Not only replace us on the internet in social media,

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Speaker 2: but replace all of what What is the danger of

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Speaker 2: AI completely taking over the technology, completely taking over and

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Speaker 2: rendering millions upon millions of human jobs obsolete.

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Speaker 3: Are we at that point yet?

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Speaker 2: Is it going to happen within the next decade, or

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Speaker 2: are there too many problems with AI that it will

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Speaker 2: fall under its own.

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Speaker 5: Weight now all. So, there's a couple of things.

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Speaker 7: One I think is that you know, as I'm listening

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Speaker 7: to a lot of people in the tech world, and

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Speaker 7: they're all saying that that they're considered that there's an

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Speaker 7: AI bubble, which I kind.

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Speaker 5: Of agree with, and I kind of disagree with that.

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Speaker 7: I agree that there's an AI bubble in the sense

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Speaker 7: that I think that they're investing way too much money

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Speaker 7: into it, that some of these companies are not going

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Speaker 7: to be able to generate enough revenue based upon their

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Speaker 7: hundreds of billions of dollars of investment, and so a

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Speaker 7: lot of the big tech companies that we see are

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Speaker 7: either going to go out of business or restructure or

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Speaker 7: something along those lines. However, also you listen to a

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Speaker 7: lot of these guys that are developing the AI, they

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Speaker 7: see AI is replacing not just one hundred million jobs,

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Speaker 7: fifty million jobs, one hundred like they're talking about replacing

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Speaker 7: all human jobs. So there's no need for humans to

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Speaker 7: be in the workforce. And this is leading to, you know,

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Speaker 7: conversations about you universal basic income or as Sam Altman

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Speaker 7: is actually proposing that instead of you having ubi from

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Speaker 7: the government, that you would have what they call a

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Speaker 7: dividend coming from these tech companies that would pay you

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Speaker 7: to basically not work.

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Speaker 5: And so basically now.

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Speaker 7: Instead of there being a universal basic skin come from

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Speaker 7: the government, where okay, if the government, you know, violates

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Speaker 7: your constitutional rights.

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Speaker 5: You could, you know, take it to court and all

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Speaker 5: that kind of stuff.

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Speaker 7: But if you have a private entity that you rely

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Speaker 7: upon for your revenue, and all of a sudden they say, well, yeah, well,

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Speaker 7: we don't like what you talk about, we don't like

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Speaker 7: your focus, we don't like what you're spending your money on,

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Speaker 7: so we're going to cut you off. They don't have

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Speaker 7: a constitutional responsibility to protect your free speech rights or

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Speaker 7: your First Amendment rights or anything along those lines, where

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Speaker 7: as the government would. So now basically that these tech companies,

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Speaker 7: if it goes as planned, are going to have more

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Speaker 7: power over your life, and they can actually implement the

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Speaker 7: censorship that we've been opposed to for so long in

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Speaker 7: a way that the government never could. This is far

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Speaker 7: more dangerous if this continues down the trajectory that we're head,

440
00:26:00,760 --> 00:26:02,959
Speaker 7: than anything that the government could ever do.

441
00:26:03,119 --> 00:26:06,639
Speaker 2: Well, it's like the digital I D that the UN

442
00:26:06,680 --> 00:26:10,760
Speaker 2: has proposed. It would control every aspect of your life

443
00:26:11,119 --> 00:26:15,160
Speaker 2: through technology and through this digital so called digital ID.

444
00:26:16,080 --> 00:26:19,479
Speaker 2: It's kind of like the digital dollar and everything. Uh,

445
00:26:19,960 --> 00:26:22,480
Speaker 2: you not being able to have any control over your

446
00:26:22,520 --> 00:26:28,200
Speaker 2: buying power over things that you want to buy, or maybe,

447
00:26:28,240 --> 00:26:31,680
Speaker 2: as you said, being cut off completely because they don't

448
00:26:31,760 --> 00:26:33,560
Speaker 2: like your social credit score i e.

449
00:26:33,600 --> 00:26:36,280
Speaker 3: Communist China, right right.

450
00:26:36,160 --> 00:26:39,200
Speaker 7: Well, and and that's where it's it's it's an interesting conversation,

451
00:26:39,320 --> 00:26:42,159
Speaker 7: especially about the digital ID and uh and you know,

452
00:26:42,240 --> 00:26:45,159
Speaker 7: digital currency and all that, because I think, you know,

453
00:26:45,200 --> 00:26:47,880
Speaker 7: there's obviously there's a push, especially in the European countries

454
00:26:48,000 --> 00:26:50,840
Speaker 7: to to make it, you know, by the force of law.

455
00:26:50,840 --> 00:26:52,560
Speaker 7: We're seeing this the United Kingdom and some of some

456
00:26:52,560 --> 00:26:56,040
Speaker 7: of these other places. There's there's been conversations about happening

457
00:26:56,119 --> 00:26:58,440
Speaker 7: here in the United States. And what I've actually been

458
00:26:58,560 --> 00:27:02,080
Speaker 7: been fear, I guess you could say, is I don't

459
00:27:02,119 --> 00:27:04,880
Speaker 7: think that that would actually hold up, you know, under

460
00:27:05,080 --> 00:27:07,200
Speaker 7: under you know, courts and Supreme Court and all that

461
00:27:07,280 --> 00:27:10,120
Speaker 7: kind of stuff, because it would be widely unconstitutional. However,

462
00:27:10,800 --> 00:27:13,560
Speaker 7: what would happen if all of a sudden, let's say,

463
00:27:13,600 --> 00:27:17,040
Speaker 7: a company like x or open ai or one of

464
00:27:17,040 --> 00:27:20,240
Speaker 7: these artificial intelligence companies comes in and says, hey.

465
00:27:20,080 --> 00:27:22,719
Speaker 5: You know that's fine. You don't legally have to according

466
00:27:22,720 --> 00:27:24,160
Speaker 5: to the United States government, but.

467
00:27:24,200 --> 00:27:27,120
Speaker 7: On our platform, you have to have a digital ID,

468
00:27:27,280 --> 00:27:29,359
Speaker 7: and you have to have and we're going to implement

469
00:27:29,400 --> 00:27:31,560
Speaker 7: a social credit score, which they're already doing. They're actually

470
00:27:31,600 --> 00:27:34,240
Speaker 7: ranking you on X right now, zero to ninety nine.

471
00:27:34,520 --> 00:27:37,160
Speaker 7: And then based upon that credit score, that social credit

472
00:27:37,200 --> 00:27:39,720
Speaker 7: score will depend on how likely you're to be seen

473
00:27:40,520 --> 00:27:42,560
Speaker 7: within their algorithms and in the new speed and trending

474
00:27:42,600 --> 00:27:44,960
Speaker 7: and all that kind of stuff. So imagine that now

475
00:27:45,040 --> 00:27:47,920
Speaker 7: you know, Elon's already talking about developing his own currency.

476
00:27:48,200 --> 00:27:50,040
Speaker 7: Let's say let's say that they require you to have

477
00:27:50,200 --> 00:27:52,439
Speaker 7: some sort of digital ID in order to be a

478
00:27:52,440 --> 00:27:55,600
Speaker 7: part of their ecosystem. And as they continue to expand,

479
00:27:55,840 --> 00:28:00,320
Speaker 7: then maybe more companies begins to adopt this new technology

480
00:28:00,359 --> 00:28:02,679
Speaker 7: and ID and social credit score and all that to

481
00:28:02,680 --> 00:28:05,800
Speaker 7: where again they're bypassing the government.

482
00:28:05,359 --> 00:28:07,159
Speaker 5: Where there'd be a lot of legal hoops in order

483
00:28:07,200 --> 00:28:08,359
Speaker 5: to implement it, to where now.

484
00:28:08,240 --> 00:28:11,240
Speaker 7: It would be a quote unquote voluntary opt opt in

485
00:28:12,200 --> 00:28:16,040
Speaker 7: digital ID or social credit score, central bank digital currency,

486
00:28:16,160 --> 00:28:18,600
Speaker 7: the whole deal to where to where they could actually

487
00:28:18,640 --> 00:28:22,040
Speaker 7: get away with doing the mass censorship and having complete

488
00:28:22,080 --> 00:28:25,320
Speaker 7: control over your life. So unless we create some sort

489
00:28:25,320 --> 00:28:30,040
Speaker 7: of alternative ecosystem that's completely separated from AI, we're all

490
00:28:30,119 --> 00:28:32,639
Speaker 7: kind of screwed because what legal recourse do you have

491
00:28:33,160 --> 00:28:37,160
Speaker 7: if a private company violates your constitutional rights? We don't

492
00:28:37,160 --> 00:28:39,600
Speaker 7: have any because that's only there in order to prevent

493
00:28:39,680 --> 00:28:43,719
Speaker 7: the federal government from violating rights, not necessarily a private company.

494
00:28:44,920 --> 00:28:48,440
Speaker 2: Have you received any pushback on pickax from these other

495
00:28:48,840 --> 00:28:52,160
Speaker 2: giants and how do you protect yourself against because they

496
00:28:52,160 --> 00:28:54,400
Speaker 2: have a lot of money and a lot of power, Chef.

497
00:28:55,440 --> 00:28:57,080
Speaker 5: Yeah, we haven't as of yet.

498
00:28:57,360 --> 00:29:00,520
Speaker 7: And again just because we're technically under pre right now,

499
00:29:00,560 --> 00:29:02,719
Speaker 7: so we've got to get web burden out now actually

500
00:29:02,720 --> 00:29:03,520
Speaker 7: going to be dropping soon.

501
00:29:03,560 --> 00:29:06,320
Speaker 5: But I'm fully prepared for there being some sort.

502
00:29:06,080 --> 00:29:09,480
Speaker 7: Of pushback blowback you know at tax things like that,

503
00:29:09,560 --> 00:29:12,800
Speaker 7: and so we're taking a variety of precautions, everything from

504
00:29:12,880 --> 00:29:15,280
Speaker 7: you know, servers and having backups to where if one

505
00:29:15,360 --> 00:29:17,160
Speaker 7: server takes us down, we can just flip a switch

506
00:29:17,160 --> 00:29:20,160
Speaker 7: and instantaneously be back up live. So you know, we're

507
00:29:20,240 --> 00:29:23,200
Speaker 7: we're going into everything with our eyes wide open. Knowing

508
00:29:23,600 --> 00:29:26,040
Speaker 7: that there's that there's going to be pushed back because

509
00:29:26,520 --> 00:29:29,520
Speaker 7: we're going against the grain, we're going against the system,

510
00:29:29,600 --> 00:29:32,760
Speaker 7: and we're creating a space that is very centered on

511
00:29:32,880 --> 00:29:37,200
Speaker 7: human beings and ultimately trying to create an alternative ecosystem

512
00:29:37,280 --> 00:29:39,960
Speaker 7: to where, you know, if all this kind of stuff

513
00:29:40,000 --> 00:29:43,320
Speaker 7: comes to pass, as as I've been predicting that there

514
00:29:43,400 --> 00:29:47,080
Speaker 7: will be a human centered space that that you know,

515
00:29:47,160 --> 00:29:49,840
Speaker 7: we're not living in the Pixar movie Wally like like

516
00:29:50,080 --> 00:29:52,120
Speaker 7: like Elon must says, we're going to end up being

517
00:29:52,360 --> 00:29:54,240
Speaker 7: but we're actually going to be able to have you know,

518
00:29:54,320 --> 00:29:57,720
Speaker 7: human to human connection and in community and creativity and

519
00:29:57,760 --> 00:29:59,520
Speaker 7: all that kind of stuff. So I know there will

520
00:29:59,560 --> 00:30:02,480
Speaker 7: be pushed b and we have certain things in place

521
00:30:02,560 --> 00:30:04,680
Speaker 7: in order to bypass that as much as possible.

522
00:30:05,000 --> 00:30:08,720
Speaker 2: Good because they believe me, if you start making waves

523
00:30:08,760 --> 00:30:13,160
Speaker 2: with Pickaxe, you know that those ripples will finally be

524
00:30:13,920 --> 00:30:16,960
Speaker 2: noticed by the people you've been talking about and the

525
00:30:17,000 --> 00:30:20,120
Speaker 2: powers that be in the tech world, and they will

526
00:30:20,160 --> 00:30:24,360
Speaker 2: either try and swallow you up or or neuter you

527
00:30:24,520 --> 00:30:29,040
Speaker 2: somehow and keep you from you know, disrupting.

528
00:30:28,360 --> 00:30:35,400
Speaker 3: Their evil plans. Tell me about following the leader the book.

529
00:30:35,960 --> 00:30:37,960
Speaker 7: So yeah, So that's a that's a book that I've

530
00:30:38,000 --> 00:30:41,120
Speaker 7: been I've been working on a writing and should be

531
00:30:41,200 --> 00:30:43,040
Speaker 7: able to get it all wrapped up and finished soon.

532
00:30:43,360 --> 00:30:44,520
Speaker 5: But the whole idea.

533
00:30:44,560 --> 00:30:47,320
Speaker 7: So in one of my first books that I put together,

534
00:30:47,360 --> 00:30:49,120
Speaker 7: it was a group book project, and I brought together

535
00:30:49,120 --> 00:30:51,000
Speaker 7: a bunch of pastors and theologians and all that talking

536
00:30:51,000 --> 00:30:52,360
Speaker 7: about different issues facing the church.

537
00:30:52,360 --> 00:30:53,880
Speaker 5: And one of the chapters that I wrote.

538
00:30:53,680 --> 00:30:58,160
Speaker 7: In that book was about the evangelical cult of personality

539
00:30:58,520 --> 00:31:01,800
Speaker 7: and how a lot of these magatures pastors within Christianity

540
00:31:01,920 --> 00:31:04,719
Speaker 7: almost set up their own mini cult within the Christian

541
00:31:05,040 --> 00:31:08,880
Speaker 7: ecosystem to where you completely rely upon them for all

542
00:31:09,040 --> 00:31:13,320
Speaker 7: of your theological training and teaching, and whatever they say goes,

543
00:31:13,440 --> 00:31:15,800
Speaker 7: and you're kind of taught not to question them, and

544
00:31:16,000 --> 00:31:18,960
Speaker 7: just well they're the most trained experts in their fields,

545
00:31:18,960 --> 00:31:20,560
Speaker 7: so you have to just believe them, and then you

546
00:31:20,600 --> 00:31:23,280
Speaker 7: follow them. And then they end up use and abuse

547
00:31:23,400 --> 00:31:25,560
Speaker 7: their people in order to build up their wealth. They've

548
00:31:25,600 --> 00:31:27,320
Speaker 7: set up all sorts of different, you know, kinds of

549
00:31:27,320 --> 00:31:29,320
Speaker 7: nonprofits all over the place that they're bringing in.

550
00:31:29,600 --> 00:31:31,800
Speaker 5: They're just raking in the money, all that kind.

551
00:31:31,680 --> 00:31:33,680
Speaker 7: Of stuff, and they have ultimate control and power and

552
00:31:33,920 --> 00:31:35,680
Speaker 7: all that, and when I looked at a lot of them,

553
00:31:35,720 --> 00:31:38,120
Speaker 7: I realize a lot of them are using certain cult

554
00:31:38,160 --> 00:31:41,800
Speaker 7: tactics in order to manipulate their base into you know,

555
00:31:42,080 --> 00:31:45,800
Speaker 7: essentially playing follow the leader. Well then I started seeing, well,

556
00:31:45,840 --> 00:31:47,720
Speaker 7: this isn't just happening within the church, this is happening

557
00:31:47,720 --> 00:31:50,640
Speaker 7: within the political sphere. This is happening within mainstream society

558
00:31:50,680 --> 00:31:53,120
Speaker 7: as well. So I started researching them. That's really what

559
00:31:53,240 --> 00:31:56,000
Speaker 7: led into following the Leader. And as I was researching this,

560
00:31:56,440 --> 00:31:59,600
Speaker 7: I realized, well, you know, you take this back to scientology,

561
00:31:59,640 --> 00:32:02,840
Speaker 7: and you've this back to Jim Jones and Charles Manson

562
00:32:02,880 --> 00:32:04,840
Speaker 7: and a lot of these different cults. It's all the

563
00:32:04,880 --> 00:32:07,320
Speaker 7: same tactics that are being used. And so then I

564
00:32:07,320 --> 00:32:10,000
Speaker 7: started researching the cults and looking into and looking into

565
00:32:10,000 --> 00:32:12,000
Speaker 7: all of that, and you know, things like MK ultra

566
00:32:12,200 --> 00:32:14,640
Speaker 7: and brainwashing and all that, and you realize, well, there's

567
00:32:14,680 --> 00:32:16,920
Speaker 7: a lot of the same tactics there. And then a

568
00:32:16,920 --> 00:32:19,400
Speaker 7: lot of these leaders have direct ties with an intelligence

569
00:32:19,440 --> 00:32:23,040
Speaker 7: agency of some kind, and you're like, what's going on here?

570
00:32:23,360 --> 00:32:25,080
Speaker 5: So you know, as I'm looking.

571
00:32:24,960 --> 00:32:26,960
Speaker 7: At this, it makes perfect sense that I think a

572
00:32:26,960 --> 00:32:29,320
Speaker 7: lot of these cults, going way back, we're kind of

573
00:32:29,320 --> 00:32:32,680
Speaker 7: testing grounds in order in order for to see how

574
00:32:32,720 --> 00:32:35,400
Speaker 7: do you get normal everyday people coming off the street

575
00:32:35,640 --> 00:32:39,040
Speaker 7: to either come in and believe something insane, do some

576
00:32:39,120 --> 00:32:42,400
Speaker 7: sort of atrocious thing that you would never that no

577
00:32:42,640 --> 00:32:44,800
Speaker 7: human being would do, like Charles Manson going around and

578
00:32:44,840 --> 00:32:47,560
Speaker 7: just mass murdering people and all, how did they do that?

579
00:32:47,840 --> 00:32:49,360
Speaker 7: So I started looking at this and it was like,

580
00:32:49,400 --> 00:32:51,200
Speaker 7: you know, you start with a basic lie, you build

581
00:32:51,240 --> 00:32:53,120
Speaker 7: upon that, you build upon that, you build upon that

582
00:32:53,200 --> 00:32:56,640
Speaker 7: until you believe something absolutely insane. And we saw that

583
00:32:56,680 --> 00:32:59,160
Speaker 7: happen with COVID. We see that happening today in politics,

584
00:32:59,160 --> 00:33:00,960
Speaker 7: we see that happening Trump, We see.

585
00:33:00,760 --> 00:33:02,480
Speaker 5: That happening everywhere.

586
00:33:02,880 --> 00:33:05,640
Speaker 7: And so my theory that a posit in the book

587
00:33:05,760 --> 00:33:09,080
Speaker 7: is basically that you have the intelligence agencies or some

588
00:33:09,200 --> 00:33:12,520
Speaker 7: kind of power that's involved that use the cult as

589
00:33:12,600 --> 00:33:15,320
Speaker 7: testing grounds and then now they're playing out these tactics

590
00:33:15,320 --> 00:33:18,560
Speaker 7: on a mass scale. And then the question is are

591
00:33:18,640 --> 00:33:21,840
Speaker 7: have you been taken in by some sort of cult tactic?

592
00:33:22,160 --> 00:33:23,960
Speaker 7: And that can happen on the left, it can happen

593
00:33:23,960 --> 00:33:25,800
Speaker 7: on the right. And so the thing is do we

594
00:33:25,840 --> 00:33:27,880
Speaker 7: self reflect, take a look at our lives and figure

595
00:33:27,880 --> 00:33:30,240
Speaker 7: out what do I believe, not just what do I believe?

596
00:33:30,240 --> 00:33:31,360
Speaker 5: But why do I believe it?

597
00:33:31,400 --> 00:33:33,920
Speaker 7: Am I just a parent that's repeating what somebody else said?

598
00:33:34,240 --> 00:33:36,200
Speaker 7: Or do I actually know that it's true? So that's

599
00:33:36,240 --> 00:33:38,040
Speaker 7: really the whole theory behind the book.

600
00:33:38,040 --> 00:33:39,960
Speaker 2: I guess you could say, well, as a believing Christian,

601
00:33:40,040 --> 00:33:42,840
Speaker 2: I know that Jesus Christ is my sales savior. No

602
00:33:43,080 --> 00:33:48,400
Speaker 2: man is my savior, whether it be a president or

603
00:33:48,440 --> 00:33:53,240
Speaker 2: a congressman or an evangelical preacher with a large following.

604
00:33:54,000 --> 00:33:56,040
Speaker 2: You know, you can go through the litany of names,

605
00:33:56,080 --> 00:33:58,680
Speaker 2: which we don't need to do. Everybody knows what we're

606
00:33:58,720 --> 00:34:02,880
Speaker 2: talking about, I think. But my my issue is that

607
00:34:03,000 --> 00:34:07,160
Speaker 2: these cult like tactics, are these basic cults that are

608
00:34:07,160 --> 00:34:10,439
Speaker 2: predicated on the lie uh you know that you've got

609
00:34:10,440 --> 00:34:14,920
Speaker 2: to follow this one human being, this man uh to

610
00:34:15,280 --> 00:34:18,640
Speaker 2: uh to find your path to salvation. Is that it

611
00:34:18,800 --> 00:34:23,360
Speaker 2: turns people off of real scripturally based Christianity, you know

612
00:34:23,400 --> 00:34:23,839
Speaker 2: what I mean?

613
00:34:24,960 --> 00:34:28,160
Speaker 7: Yeah, no, absolutely, And I think I think it also

614
00:34:28,920 --> 00:34:31,440
Speaker 7: that one of the one of the problems is is

615
00:34:31,480 --> 00:34:33,520
Speaker 7: that a lot of times in the in this these

616
00:34:33,600 --> 00:34:35,640
Speaker 7: kind of like cult mindsets, whether you're talking about within

617
00:34:35,760 --> 00:34:39,520
Speaker 7: Christianity or within politics, they they really try to persuade

618
00:34:39,520 --> 00:34:42,680
Speaker 7: you not to question anything and and not to not

619
00:34:42,760 --> 00:34:45,000
Speaker 7: to actually, you know, do your own research and figure

620
00:34:45,000 --> 00:34:46,680
Speaker 7: it out and all that. And I think that that's

621
00:34:46,800 --> 00:34:48,480
Speaker 7: that's that's one of the really big things that I

622
00:34:48,520 --> 00:34:52,200
Speaker 7: really want to encourage people to is break away from

623
00:34:52,200 --> 00:34:56,360
Speaker 7: this mentality of you're not supposed to question, like question everything,

624
00:34:56,480 --> 00:34:59,600
Speaker 7: because because the truth, if you are a true secret

625
00:34:59,640 --> 00:35:02,520
Speaker 7: of the truth, you read the Bible, you know from

626
00:35:02,600 --> 00:35:04,960
Speaker 7: in the political sphere, obviously, you read the Constitution, you

627
00:35:05,000 --> 00:35:07,440
Speaker 7: read the Founding documents, you go through all that. The

628
00:35:07,520 --> 00:35:10,760
Speaker 7: truth is there, you go find it. But you also

629
00:35:10,760 --> 00:35:13,080
Speaker 7: have to be humble enough to realize that maybe I

630
00:35:13,280 --> 00:35:15,319
Speaker 7: miss something, maybe I'm wrong. And so for me, I

631
00:35:15,320 --> 00:35:17,200
Speaker 7: have a lot of conversations with a lot of people

632
00:35:17,200 --> 00:35:19,520
Speaker 7: from a lot of different perspectives, and I go into

633
00:35:19,560 --> 00:35:22,520
Speaker 7: everything believing what I believe one hundred percent, but I'm

634
00:35:22,560 --> 00:35:25,719
Speaker 7: also open to the idea that possibly the other person

635
00:35:25,800 --> 00:35:27,399
Speaker 7: I have an argument where I need to go back

636
00:35:27,440 --> 00:35:29,200
Speaker 7: and I need to look at what I believe and say, Okay,

637
00:35:29,920 --> 00:35:31,840
Speaker 7: did my belief hold up the scrutiny or do I

638
00:35:31,880 --> 00:35:34,600
Speaker 7: need to maybe reconsider something, tweet something, change something.

639
00:35:34,800 --> 00:35:38,520
Speaker 2: Jeff we're out of time, but I appreciate yours. Pickaxe

640
00:35:38,880 --> 00:35:43,080
Speaker 2: is this new human based social media that Jeff Dornick

641
00:35:43,200 --> 00:35:46,520
Speaker 2: and his group have launched. And you know, we'll check

642
00:35:46,560 --> 00:35:48,760
Speaker 2: back in and see when you're up and running. Jeff, Okay,

643
00:35:49,760 --> 00:35:50,960
Speaker 2: sounds good. I appreciate it.

644
00:35:50,960 --> 00:35:51,319
Speaker 3: Thank you.

645
00:35:51,400 --> 00:35:54,239
Speaker 2: It's the Nightcap and it continues right after news on

646
00:35:54,320 --> 00:35:59,400
Speaker 2: seven hunderd WLW. As we continue on this Monday Nightcap

647
00:35:59,560 --> 00:36:03,480
Speaker 2: on seven one hundrel a guy that's been on the

648
00:36:03,480 --> 00:36:07,759
Speaker 2: program many times and he's been gracious enough to come

649
00:36:07,800 --> 00:36:10,799
Speaker 2: back on with us tonight. He is the man at

650
00:36:10,840 --> 00:36:16,040
Speaker 2: the d man at the Crime Prevention Research Center CPRC.

651
00:36:17,239 --> 00:36:18,840
Speaker 3: His name is John Lott.

652
00:36:19,320 --> 00:36:22,879
Speaker 2: When it comes to the real stats on crime, we're

653
00:36:22,920 --> 00:36:25,880
Speaker 2: talking about it a lot in the news and the

654
00:36:25,960 --> 00:36:28,120
Speaker 2: recent so called surgeon crime.

655
00:36:28,640 --> 00:36:30,640
Speaker 3: What are the root causes behind it? What do the

656
00:36:30,680 --> 00:36:31,880
Speaker 3: stats actually say?

657
00:36:32,800 --> 00:36:37,359
Speaker 2: There's no better expert than our guest, John Lott, Doctor Lott,

658
00:36:37,360 --> 00:36:38,919
Speaker 2: it's great to have you back on the show.

659
00:36:39,000 --> 00:36:42,839
Speaker 8: How are you doing great, great to talk to you,

660
00:36:42,920 --> 00:36:43,719
Speaker 8: Thanks for having me on.

661
00:36:44,640 --> 00:36:49,600
Speaker 2: Just drop something in real clear politics here? What do

662
00:36:49,760 --> 00:36:55,680
Speaker 2: stats really say about the crime surge? So can we

663
00:36:55,760 --> 00:37:00,399
Speaker 2: just get a thumbnail first of the overview of what

664
00:37:00,440 --> 00:37:03,040
Speaker 2: that says. What do the stats do say about the

665
00:37:03,040 --> 00:37:04,640
Speaker 2: crime surge in America today?

666
00:37:06,040 --> 00:37:06,279
Speaker 6: Right?

667
00:37:06,840 --> 00:37:11,000
Speaker 8: But I think with over the last four years, we've

668
00:37:11,040 --> 00:37:14,560
Speaker 8: seen a huge percentage increase in violent crime, about a

669
00:37:14,600 --> 00:37:19,120
Speaker 8: fifty nine percent increase over four years, which is unprecedented

670
00:37:19,880 --> 00:37:23,920
Speaker 8: for that large of a percentage increase. And it basically

671
00:37:23,920 --> 00:37:26,480
Speaker 8: comes down to this. There are two measures that we

672
00:37:26,560 --> 00:37:30,200
Speaker 8: have of crime. We have crimes report to police and

673
00:37:30,200 --> 00:37:33,080
Speaker 8: then we have total crimes. And what people need to

674
00:37:33,120 --> 00:37:37,680
Speaker 8: realize is that only about forty percent of violent crimes

675
00:37:37,680 --> 00:37:40,560
Speaker 8: get report to police and only about thirty percent of

676
00:37:40,600 --> 00:37:44,840
Speaker 8: property crimes get reported to police. And in the past,

677
00:37:45,040 --> 00:37:48,920
Speaker 8: prior to COVID, the number of crimes reported to police

678
00:37:49,320 --> 00:37:51,360
Speaker 8: and the total amount of crime.

679
00:37:51,840 --> 00:37:53,360
Speaker 6: Tended to go up and down together.

680
00:37:54,000 --> 00:37:57,560
Speaker 8: But since COVID, there's been a real huge disconnect. What

681
00:37:57,719 --> 00:38:03,040
Speaker 8: we've seen a little drop in an overall reported crime,

682
00:38:04,440 --> 00:38:09,880
Speaker 8: we've actually seen this huge, unprecedented increase in total crime.

683
00:38:10,000 --> 00:38:10,600
Speaker 6: This's occurred.

684
00:38:11,280 --> 00:38:14,680
Speaker 2: Yeah, and you mentioned in this Real Clear Politics article

685
00:38:15,600 --> 00:38:20,800
Speaker 2: that during the presidential debate between Donald Trump and Kamala Harris,

686
00:38:22,000 --> 00:38:26,000
Speaker 2: President Trump now President Trump, said violent crime was rising.

687
00:38:26,480 --> 00:38:29,839
Speaker 2: The ABC moderator said, President Trump, as you know, the

688
00:38:29,880 --> 00:38:33,280
Speaker 2: FBI says overall violent crime is coming down in this country.

689
00:38:34,400 --> 00:38:36,120
Speaker 2: Was the FBI cook in the books or is it

690
00:38:36,280 --> 00:38:39,080
Speaker 2: just this the fact that it's the crimes are not

691
00:38:39,120 --> 00:38:40,440
Speaker 2: being reported.

692
00:38:40,000 --> 00:38:40,560
Speaker 3: John.

693
00:38:42,400 --> 00:38:46,000
Speaker 8: Right, Well, I think it's the crimes just aren't being reported,

694
00:38:48,400 --> 00:38:51,560
Speaker 8: and there's simple reasons for that. One of the biggest

695
00:38:51,600 --> 00:38:54,719
Speaker 8: reasons is whether or not people report crimes to the

696
00:38:54,719 --> 00:38:58,439
Speaker 8: police depends in part on whether or not people think

697
00:38:58,480 --> 00:39:01,560
Speaker 8: that the criminals are going to be and punished. And

698
00:39:01,640 --> 00:39:04,040
Speaker 8: one thing that we've seen over the last few years

699
00:39:04,080 --> 00:39:07,839
Speaker 8: has been a huge drop in the rate that criminals

700
00:39:07,880 --> 00:39:12,840
Speaker 8: are arrested and punished for crime. It's gone down like

701
00:39:12,960 --> 00:39:18,480
Speaker 8: by almost half of what it was beforehand. And it's

702
00:39:18,520 --> 00:39:22,520
Speaker 8: also become more difficult for people to report crimes in

703
00:39:22,600 --> 00:39:25,800
Speaker 8: many parts of the country. You know, six seven years ago,

704
00:39:25,960 --> 00:39:29,040
Speaker 8: if you had had a violent crime occur and you

705
00:39:29,160 --> 00:39:32,560
Speaker 8: called up the police, they would send out a police car. Well,

706
00:39:32,600 --> 00:39:35,120
Speaker 8: now if you call it nine to one one, what

707
00:39:35,160 --> 00:39:38,000
Speaker 8: they'll go and they'll say is they'll ask you first,

708
00:39:38,160 --> 00:39:41,440
Speaker 8: is the criminals still there committing the crime? And if

709
00:39:41,480 --> 00:39:44,799
Speaker 8: you say no, which is virtually always the case, that

710
00:39:44,960 --> 00:39:48,000
Speaker 8: you know the crimes already occurred, the criminals left the scene.

711
00:39:48,680 --> 00:39:51,680
Speaker 8: They'll say, well, you can come down to the police

712
00:39:51,719 --> 00:39:55,960
Speaker 8: station and wait in line, and uh, you know, you

713
00:39:56,000 --> 00:40:00,480
Speaker 8: can get a police report filled out. A lot of

714
00:40:00,480 --> 00:40:03,359
Speaker 8: people may not understand that just simply calling up nine

715
00:40:03,400 --> 00:40:07,319
Speaker 8: to one one doesn't result in a police report. Will

716
00:40:07,320 --> 00:40:10,160
Speaker 8: only get a police report when a police officer actually

717
00:40:10,160 --> 00:40:13,560
Speaker 8: goes and fills out the report that's there. And so

718
00:40:14,400 --> 00:40:17,319
Speaker 8: you know, it's it's not too difficult to understand. I

719
00:40:17,360 --> 00:40:21,080
Speaker 8: guess that if if you make it more costly, more

720
00:40:21,160 --> 00:40:25,000
Speaker 8: time consuming for people to go and report a crime,

721
00:40:25,560 --> 00:40:27,680
Speaker 8: you're going to have at least some people who are

722
00:40:27,680 --> 00:40:29,680
Speaker 8: going to say, look, it's just not worth my time

723
00:40:30,560 --> 00:40:34,120
Speaker 8: to go and do that, and so those crimes will

724
00:40:34,120 --> 00:40:34,920
Speaker 8: go unreported.

725
00:40:35,680 --> 00:40:39,000
Speaker 2: The National Crime Victimization Survey that your reference in this

726
00:40:39,160 --> 00:40:44,640
Speaker 2: article a pretty steep contrast between President Trump's first term

727
00:40:45,080 --> 00:40:49,640
Speaker 2: and Joe Biden's term in office as president. As you mentioned,

728
00:40:49,680 --> 00:40:54,680
Speaker 2: the fifty nine percent surge, with rape and sexual assault

729
00:40:54,800 --> 00:40:57,920
Speaker 2: up sixty seven percent, robbery of thirty eight percent, an

730
00:40:57,920 --> 00:41:01,959
Speaker 2: aggravated assault of sixty two two. That's like twenty twenty

731
00:41:02,120 --> 00:41:06,480
Speaker 2: through twenty twenty four. As you said post COVID the

732
00:41:06,520 --> 00:41:11,520
Speaker 2: first term of President Trump. That same NCVS data showed

733
00:41:11,840 --> 00:41:14,839
Speaker 2: that between twenty seventeen and twenty twenty, violent crime fell

734
00:41:14,960 --> 00:41:18,279
Speaker 2: fifteen percent, including a six percent drop in robbery, a

735
00:41:18,360 --> 00:41:22,360
Speaker 2: twenty four percent decline, and aggravated assault, rape and sexual

736
00:41:22,360 --> 00:41:26,040
Speaker 2: assault rose slightly. The increase was less than ten percent

737
00:41:27,320 --> 00:41:32,640
Speaker 2: over what occurred in Joe Biden's term. So what was

738
00:41:32,719 --> 00:41:36,640
Speaker 2: happening differently in President Trump's first term that didn't happen

739
00:41:37,080 --> 00:41:40,440
Speaker 2: during Biden It maybe is not related to COVID from

740
00:41:40,520 --> 00:41:41,240
Speaker 2: what you're seeing.

741
00:41:43,320 --> 00:41:48,680
Speaker 8: Well, I think I think under Biden, the big problem

742
00:41:48,719 --> 00:41:51,040
Speaker 8: that you have is that they just made it a

743
00:41:51,080 --> 00:41:53,920
Speaker 8: lot less risky for criminals to go on commit crime.

744
00:41:53,960 --> 00:41:58,160
Speaker 8: I mean, look at DC for example, in Washington, d C.

745
00:41:59,239 --> 00:42:05,320
Speaker 8: It's the US attorney who's responsible for prosecuting crimes by adults,

746
00:42:06,640 --> 00:42:09,759
Speaker 8: the US attorney that you had there under the Biden administration.

747
00:42:09,880 --> 00:42:14,600
Speaker 8: In twenty twenty two, he refused to prosecute sixty seven

748
00:42:14,640 --> 00:42:18,680
Speaker 8: percent of the arrests that occurred during that time. In

749
00:42:18,760 --> 00:42:22,560
Speaker 8: twenty twenty three, he refused to prosecute still fifty six

750
00:42:22,640 --> 00:42:27,280
Speaker 8: percent of the arrests that occurred there. As a huge

751
00:42:27,320 --> 00:42:31,759
Speaker 8: percentage of arrest that just won't result in prosecutions. Obviously

752
00:42:32,239 --> 00:42:38,080
Speaker 8: under somebody like Judge Dean Pirot right now, she's had

753
00:42:38,360 --> 00:42:41,200
Speaker 8: much more aggressive you know, if you're arrested, she's going

754
00:42:41,239 --> 00:42:48,960
Speaker 8: to prosecute you for your crime. And you know, during

755
00:42:49,000 --> 00:42:54,320
Speaker 8: the first Trump term, only about thirty percent of arrests

756
00:42:54,360 --> 00:42:59,959
Speaker 8: were not prosecuted. So you know, it was still higher

757
00:43:00,160 --> 00:43:04,560
Speaker 8: than Piero, but it was a lot less than was

758
00:43:04,600 --> 00:43:08,200
Speaker 8: occurring under the Biden administration. And you know, it's just

759
00:43:08,840 --> 00:43:12,800
Speaker 8: kind of a lot of the resources in the federal government,

760
00:43:12,960 --> 00:43:16,759
Speaker 8: like with regard to the FBI, they were not being

761
00:43:16,880 --> 00:43:19,280
Speaker 8: used to go after what you and I might regard

762
00:43:19,360 --> 00:43:24,640
Speaker 8: as violent criminals. They would go and record license plates

763
00:43:24,680 --> 00:43:28,080
Speaker 8: at school board meetings, or go and infiltrate you know,

764
00:43:28,239 --> 00:43:32,520
Speaker 8: Catholic church meetings, or you know, a huge amount of

765
00:43:32,600 --> 00:43:36,640
Speaker 8: effort and time dealing with January sixth, even people that

766
00:43:36,760 --> 00:43:41,799
Speaker 8: had no violent actions that were taken. You know, the

767
00:43:41,800 --> 00:43:45,839
Speaker 8: the on average, the person the people who engaged in

768
00:43:45,920 --> 00:43:49,759
Speaker 8: any violence on January sixth spent at least forty two

769
00:43:49,800 --> 00:43:53,480
Speaker 8: months in prison. But there are lots of people who

770
00:43:53,560 --> 00:43:57,319
Speaker 8: ended up spending you know, being investigated and spending substantial

771
00:43:57,400 --> 00:44:01,440
Speaker 8: time in prison who engaged in absolutely no violence at all,

772
00:44:02,040 --> 00:44:04,280
Speaker 8: you know, basically trespassing type things.

773
00:44:04,440 --> 00:44:06,759
Speaker 3: Yeah, and Paradi.

774
00:44:07,760 --> 00:44:10,399
Speaker 8: Right well, and there was a huge amount of resources

775
00:44:10,440 --> 00:44:15,960
Speaker 8: spent on that. So, you know, under Trump, whether it

776
00:44:16,000 --> 00:44:20,680
Speaker 8: was the first term or even more so now, they're

777
00:44:20,680 --> 00:44:23,359
Speaker 8: going you know, they're going after criminals.

778
00:44:23,719 --> 00:44:24,359
Speaker 3: Yeah.

779
00:44:24,080 --> 00:44:26,560
Speaker 2: So let me ask you talking to John Lott from

780
00:44:26,600 --> 00:44:31,399
Speaker 2: the Crime Prevention Research Center about the crime surge that

781
00:44:31,440 --> 00:44:34,880
Speaker 2: we've been living through the last four years or so,

782
00:44:34,960 --> 00:44:38,760
Speaker 2: which President Trump has been talking about and not only

783
00:44:38,880 --> 00:44:41,640
Speaker 2: in the debate before in the campaign, but he's been

784
00:44:41,760 --> 00:44:45,319
Speaker 2: actively trying to do something about it, obviously, and he's

785
00:44:45,360 --> 00:44:48,319
Speaker 2: getting a lot of pushback about that from around the

786
00:44:48,360 --> 00:44:52,520
Speaker 2: country for various reasons, but they're mostly political in anything

787
00:44:52,560 --> 00:44:56,200
Speaker 2: that Trump does must be stopped immediately, even if it's right.

788
00:44:57,040 --> 00:45:00,840
Speaker 2: We see that all over the place, John, But what

789
00:45:01,040 --> 00:45:05,600
Speaker 2: about what he did with the Federal District of Columbia,

790
00:45:06,440 --> 00:45:10,080
Speaker 2: And you mentioned the criminals knowing they're going to be

791
00:45:10,120 --> 00:45:14,880
Speaker 2: prosecuted is the main thing that's the deterrent to actually

792
00:45:15,719 --> 00:45:18,560
Speaker 2: bring the crime rate down, and I believe that as well.

793
00:45:19,040 --> 00:45:23,280
Speaker 2: But what do you think about the President's plan to

794
00:45:23,320 --> 00:45:28,320
Speaker 2: install federal troops to augment local police departments around the country.

795
00:45:28,640 --> 00:45:31,000
Speaker 2: Is that going to be an effective tool if he's

796
00:45:31,040 --> 00:45:31,839
Speaker 2: allowed to do it?

797
00:45:34,719 --> 00:45:39,520
Speaker 8: Well, I mean, they've already been doing this in Memphis.

798
00:45:39,560 --> 00:45:42,720
Speaker 8: There seems to be a substantial drop that they're seeing

799
00:45:43,040 --> 00:45:48,000
Speaker 8: in crime already there. Obviously they had huge drops in

800
00:45:48,200 --> 00:45:53,760
Speaker 8: violent crime, like an eighty five drop in carjackings.

801
00:45:52,880 --> 00:45:53,960
Speaker 6: In Washington, d C.

802
00:45:54,960 --> 00:45:59,080
Speaker 8: When they moved Himand you know, it's a combination of things.

803
00:45:59,560 --> 00:46:04,520
Speaker 8: In Memphis and d C. They've moved federal law enforcement

804
00:46:04,600 --> 00:46:11,160
Speaker 8: agents like the FBI, ATF and others into the area there.

805
00:46:11,280 --> 00:46:17,080
Speaker 8: They've also moved to National Guard. So you know it's

806
00:46:17,120 --> 00:46:24,799
Speaker 8: in d C about thirteen hundred patrol officers, no more

807
00:46:24,840 --> 00:46:27,600
Speaker 8: than four hundred are on duty at any point in time.

808
00:46:29,120 --> 00:46:33,279
Speaker 8: The change that Trump made essentially doubled the number of

809
00:46:33,960 --> 00:46:36,279
Speaker 8: boots that you had on the ground at any point

810
00:46:36,320 --> 00:46:41,440
Speaker 8: in time. And you know, they had huge increases in arrests,

811
00:46:41,480 --> 00:46:44,359
Speaker 8: made it much more difficult for criminals to commit crime.

812
00:46:44,400 --> 00:46:49,040
Speaker 8: What's riskier, and they've been prosecuting them. Now they're still problems.

813
00:46:49,960 --> 00:46:55,920
Speaker 8: The District Columbia is responsible for prosecuting juvenile crime. You

814
00:46:56,080 --> 00:47:03,000
Speaker 8: just had that situation where the young doage individual, the

815
00:47:03,040 --> 00:47:08,680
Speaker 8: government efficiency expert you know, nicknamed Big Balls, he had

816
00:47:08,719 --> 00:47:15,640
Speaker 8: been savagely beaten and attacked by ten juveniles. The judge

817
00:47:16,719 --> 00:47:21,680
Speaker 8: released them, initially didn't require that they had to spend

818
00:47:21,719 --> 00:47:26,880
Speaker 8: time in jail, and now this last week she just

819
00:47:26,960 --> 00:47:29,759
Speaker 8: decided that they would get no jail time, that they

820
00:47:29,760 --> 00:47:35,239
Speaker 8: would just get probation for the savage AGGBT assault that

821
00:47:35,280 --> 00:47:36,239
Speaker 8: they engaged in.

822
00:47:37,120 --> 00:47:37,879
Speaker 6: You know, so.

823
00:47:39,520 --> 00:47:43,399
Speaker 8: You still have problems in DC and things that they

824
00:47:43,520 --> 00:47:47,520
Speaker 8: completely control in terms like the punishment for juveniles. But

825
00:47:48,360 --> 00:47:50,839
Speaker 8: you know, there there's still been some change in all

826
00:47:50,920 --> 00:47:55,800
Speaker 8: the violent adult criminals that they've taken off the street.

827
00:47:57,120 --> 00:47:59,440
Speaker 8: You know, they're still off the street. They're still going

828
00:47:59,520 --> 00:48:03,160
Speaker 8: to be not committing crime for some period of time,

829
00:48:04,360 --> 00:48:08,560
Speaker 8: So there'll still be some benefits even when the federal

830
00:48:08,640 --> 00:48:13,239
Speaker 8: law enforcement has moved away from there. But you know,

831
00:48:13,280 --> 00:48:17,520
Speaker 8: it's Trump has done things across the board. It's not

832
00:48:17,680 --> 00:48:21,520
Speaker 8: just higher rest rates, higher conviction rates, longer prison sentences,

833
00:48:22,239 --> 00:48:24,840
Speaker 8: but they've also made it easier for victims to be

834
00:48:24,840 --> 00:48:27,120
Speaker 8: able to go and defend themselves, which also makes it

835
00:48:27,200 --> 00:48:31,880
Speaker 8: riskier for criminals to makes it riskier for criminals to

836
00:48:31,920 --> 00:48:37,160
Speaker 8: commit crimes. So, for example, it had been taking six

837
00:48:37,239 --> 00:48:40,040
Speaker 8: to eight months or more for people to get their

838
00:48:40,040 --> 00:48:44,440
Speaker 8: concealed carry permit in Washington, d C. The Trump administration

839
00:48:44,600 --> 00:48:47,880
Speaker 8: put pressure on the DC government and they've sped it

840
00:48:47,960 --> 00:48:52,640
Speaker 8: up now to get your permit within two weeks. You know,

841
00:48:52,719 --> 00:48:53,840
Speaker 8: all those things matter.

842
00:48:54,880 --> 00:48:58,480
Speaker 2: Well, do you have a you take a lot of

843
00:48:58,719 --> 00:49:02,480
Speaker 2: good stock and the Bureau of Justice Statistics National Crime

844
00:49:02,600 --> 00:49:07,520
Speaker 2: Victimization Survey, which you know before twenty twenty, the FBI

845
00:49:08,360 --> 00:49:12,160
Speaker 2: Statistics and the Bureau of Statistics, as you point out

846
00:49:12,160 --> 00:49:15,440
Speaker 2: in this article in real clear politics, they kind of

847
00:49:15,480 --> 00:49:19,960
Speaker 2: moved side by side in tandem. But then they are

848
00:49:20,000 --> 00:49:24,879
Speaker 2: totally different now as far as reported crime from the

849
00:49:24,920 --> 00:49:27,400
Speaker 2: FBI and then from the survey of two hundred and

850
00:49:27,400 --> 00:49:31,359
Speaker 2: forty thousand people living in the United States asking whether

851
00:49:31,400 --> 00:49:35,520
Speaker 2: they were crime victims, the two are moving in opposite

852
00:49:35,520 --> 00:49:39,640
Speaker 2: directions or have been. Do you see a lot of

853
00:49:39,680 --> 00:49:44,239
Speaker 2: validity into that particular survey because there are so many

854
00:49:44,239 --> 00:49:45,279
Speaker 2: people interviewed.

855
00:49:47,160 --> 00:49:49,960
Speaker 8: No, I mean they survey two hundred and forty thousand people,

856
00:49:50,080 --> 00:49:54,279
Speaker 8: so I mean it's really a huge survey. I mean,

857
00:49:54,280 --> 00:49:57,040
Speaker 8: it's kind of always been the gold standard for crime

858
00:49:57,080 --> 00:50:01,440
Speaker 8: statistics and The reason is that we know that most

859
00:50:01,560 --> 00:50:04,840
Speaker 8: violent crimes and most property crimes aren't report to police.

860
00:50:04,840 --> 00:50:07,360
Speaker 8: And you know, if you're going to ask people, what

861
00:50:07,960 --> 00:50:10,760
Speaker 8: about most do you care about what's happened to total

862
00:50:10,840 --> 00:50:14,600
Speaker 8: crime or you care about the number of crimes that

863
00:50:14,680 --> 00:50:18,280
Speaker 8: reports police. I mean, obviously both matter in some sense

864
00:50:18,719 --> 00:50:20,319
Speaker 8: in terms of policy and what.

865
00:50:20,239 --> 00:50:20,799
Speaker 6: You want to do.

866
00:50:21,400 --> 00:50:24,960
Speaker 8: But you know what affects the quality of people's lives

867
00:50:25,080 --> 00:50:26,720
Speaker 8: is what happens to total crime?

868
00:50:27,719 --> 00:50:30,799
Speaker 2: All right, Well, you can find the actual stats and

869
00:50:30,840 --> 00:50:34,280
Speaker 2: the information because they do a phenomenal job of compiling

870
00:50:34,320 --> 00:50:38,920
Speaker 2: it all at Crimeresearch dot org. It's the CPRC, the

871
00:50:38,960 --> 00:50:43,319
Speaker 2: Crime Prevention Research Center. It's founder, president John Lott with us.

872
00:50:45,360 --> 00:50:48,160
Speaker 2: I always love having you on. I love getting the

873
00:50:48,440 --> 00:50:52,640
Speaker 2: real scoop on stuff that is being bandied about like

874
00:50:52,640 --> 00:50:55,239
Speaker 2: a political football in the media all the time. John,

875
00:50:55,280 --> 00:50:57,960
Speaker 2: and you were great for setting the record straight. So

876
00:50:58,160 --> 00:50:59,920
Speaker 2: thank you again for coming on with us.

877
00:51:01,239 --> 00:51:03,759
Speaker 8: Well, thanks so much, Jeff, I greatly appreciate you having

878
00:51:03,800 --> 00:51:04,000
Speaker 8: me on.

879
00:51:04,400 --> 00:51:09,640
Speaker 2: You bet, John Lott from the CPRC. Tonight on the Nightcap,

880
00:51:09,960 --> 00:51:13,759
Speaker 2: plentymore show left to go, and we'll get to it

881
00:51:13,800 --> 00:51:16,880
Speaker 2: in due time. Hang on, Opportunity tonight to talk to

882
00:51:16,960 --> 00:51:20,000
Speaker 2: John Doctor John Brady. We've had him on before. He's

883
00:51:20,040 --> 00:51:25,319
Speaker 2: a forensic psychologist, he is an author and he has

884
00:51:25,360 --> 00:51:29,880
Speaker 2: a new book coming out called Breakdown, and it's getting

885
00:51:29,920 --> 00:51:32,799
Speaker 2: inside the criminal mind. We talk about the Sir Hans

886
00:51:32,920 --> 00:51:40,120
Speaker 2: Sir Han assassination of RFK. We talk about Luigi Mangioni

887
00:51:40,200 --> 00:51:45,480
Speaker 2: up to date and how it references with the an

888
00:51:45,560 --> 00:51:51,720
Speaker 2: alliance with the Charlie Kirkshooter in his expertise, Doctor Brady,

889
00:51:51,800 --> 00:51:54,000
Speaker 2: welcome back to the Nightcap. It's good to have you

890
00:51:54,040 --> 00:51:56,800
Speaker 2: on again. When is the book going to be available?

891
00:51:56,840 --> 00:52:02,680
Speaker 9: First, Dary, it's my pleasure. WLW is my favorite station.

892
00:52:03,680 --> 00:52:08,320
Speaker 9: Reminds me of WLS in Chicago that I grew up listening.

893
00:52:07,920 --> 00:52:11,000
Speaker 5: To, So I really appreciate the.

894
00:52:11,440 --> 00:52:14,120
Speaker 2: You know what, that's something we have, that's something we

895
00:52:14,160 --> 00:52:17,920
Speaker 2: have in common, doctor Brady, because when I was a kid.

896
00:52:18,120 --> 00:52:20,880
Speaker 2: When I was a kid, we lived in the West

897
00:52:20,920 --> 00:52:24,640
Speaker 2: Burbs of Chicago and they're in Chicago Land, and I

898
00:52:24,760 --> 00:52:28,400
Speaker 2: grew up listening to eighty nine WLS when it was

899
00:52:28,480 --> 00:52:34,280
Speaker 2: the premiere Boss Jock top forty radio station in the country.

900
00:52:35,080 --> 00:52:38,680
Speaker 2: And that's exactly where I got bit by the broadcasting bug.

901
00:52:38,960 --> 00:52:42,400
Speaker 2: Was being seven years old and listening to WLS on

902
00:52:42,480 --> 00:52:46,839
Speaker 2: my transistor radio in nineteen sixty six, sixty seven. So

903
00:52:47,200 --> 00:52:48,200
Speaker 2: I am right there with you.

904
00:52:49,080 --> 00:52:53,400
Speaker 9: That's exactly right, because I grew up in Joliet, uh huh, Illinois.

905
00:52:53,680 --> 00:52:57,640
Speaker 3: Yeah, yeah, we were. We were in Naperville and Downers Grove, Oh.

906
00:52:58,760 --> 00:53:00,279
Speaker 9: Right up the road. I mean I used to run

907
00:53:00,400 --> 00:53:03,800
Speaker 9: track against Naperville. I mean, what what a great little

908
00:53:03,920 --> 00:53:06,120
Speaker 9: town that is. You know, I still have relatives, my

909
00:53:06,200 --> 00:53:09,279
Speaker 9: nieces and nephews live in Naperville, and that's just a wonderful,

910
00:53:09,719 --> 00:53:10,680
Speaker 9: wonderful area.

911
00:53:11,400 --> 00:53:13,560
Speaker 5: So we have we have that in common.

912
00:53:14,280 --> 00:53:18,920
Speaker 9: W LS listening to that station on my transistor radio also,

913
00:53:19,600 --> 00:53:22,840
Speaker 9: so you know it was that little our RCA radio

914
00:53:22,920 --> 00:53:23,560
Speaker 9: that we had.

915
00:53:23,680 --> 00:53:27,120
Speaker 2: Yeah, I had. I had a nine volt to operate

916
00:53:27,160 --> 00:53:32,320
Speaker 2: a GE transistor right up against my ear. Anyway, Doctor Brady, U,

917
00:53:33,320 --> 00:53:35,279
Speaker 2: this is this is old Home Week for us. But

918
00:53:35,600 --> 00:53:38,080
Speaker 2: for the benefit for the edification of the audience, what

919
00:53:38,120 --> 00:53:42,680
Speaker 2: we're going to talk about the psychological DNA and the

920
00:53:42,680 --> 00:53:46,440
Speaker 2: cold case analysis of who killed Robert F. Kennedy, And

921
00:53:46,480 --> 00:53:50,399
Speaker 2: you're talking about breakdown as it relates to modern day

922
00:53:50,440 --> 00:53:55,960
Speaker 2: assassins or people that are looked at as assassins. Did

923
00:53:55,960 --> 00:53:59,319
Speaker 2: they act alone and all Lee Lee Harvey Oswald. You know,

924
00:53:59,680 --> 00:54:02,960
Speaker 2: there were so many things in the RFK case back

925
00:54:03,000 --> 00:54:05,880
Speaker 2: in the summer of nineteen sixty eight that did not

926
00:54:06,080 --> 00:54:09,040
Speaker 2: really add up to Sir Han Surhan?

927
00:54:09,760 --> 00:54:10,320
Speaker 3: Is that true?

928
00:54:12,200 --> 00:54:12,640
Speaker 6: That's right?

929
00:54:12,640 --> 00:54:16,200
Speaker 9: I mean, I mean I worked on that case peripherally

930
00:54:16,360 --> 00:54:21,120
Speaker 9: with the chief psychiatrist, doctor Bernard Diamond. He was my

931
00:54:21,239 --> 00:54:26,479
Speaker 9: advisor in the Schruel Criminology at UC Berkeley, and he

932
00:54:26,760 --> 00:54:31,680
Speaker 9: more or less orchestrated the psychiatric defense on behalf of

933
00:54:31,800 --> 00:54:35,080
Speaker 9: Sir Hand. But as you say, Gary, there were a

934
00:54:35,120 --> 00:54:36,520
Speaker 9: lot of misnomers.

935
00:54:36,520 --> 00:54:39,600
Speaker 5: There were a lot of issues with that trial.

936
00:54:40,360 --> 00:54:47,360
Speaker 9: The defense kind of drifted into a position where nobody

937
00:54:47,560 --> 00:54:52,040
Speaker 9: knew exactly where they were going. The doctors had information

938
00:54:52,320 --> 00:54:56,759
Speaker 9: that were at cross purposes with the primary defense of

939
00:54:56,920 --> 00:55:01,600
Speaker 9: Sir Hand, which was a diminished capacity the defense that

940
00:55:01,800 --> 00:55:05,120
Speaker 9: was not a complete psychiatric defense, but it was a

941
00:55:05,160 --> 00:55:09,120
Speaker 9: partial defense to show that he wasn't one hundred percent

942
00:55:09,200 --> 00:55:13,920
Speaker 9: responsible for his behavior at the time of the assassination

943
00:55:14,760 --> 00:55:21,799
Speaker 9: of RFK. The testimony presented by many of the witnesses

944
00:55:22,360 --> 00:55:27,839
Speaker 9: just counteracted where doctor Diamond wanted to go with his

945
00:55:28,120 --> 00:55:33,400
Speaker 9: defense and left it very confusing to the jury that

946
00:55:33,520 --> 00:55:35,799
Speaker 9: kind of just threw up their hands and said, this

947
00:55:35,840 --> 00:55:39,839
Speaker 9: is all just psychobabble, we don't understand it, and we're

948
00:55:39,920 --> 00:55:40,680
Speaker 9: going to convict.

949
00:55:41,480 --> 00:55:43,080
Speaker 3: Okay, all right.

950
00:55:43,520 --> 00:55:49,560
Speaker 2: So Lee Harvey Oswald is another obviously interesting character as

951
00:55:49,600 --> 00:55:55,480
Speaker 2: it plays into assassins or alleged assassins of famous political

952
00:55:55,520 --> 00:55:59,480
Speaker 2: leaders in this country or famous people in this country.

953
00:56:00,360 --> 00:56:04,200
Speaker 2: And we never got the chance to really psychologically examine

954
00:56:04,280 --> 00:56:05,839
Speaker 2: Lee Harvey Oswald, did we.

955
00:56:07,680 --> 00:56:08,000
Speaker 5: See that?

956
00:56:08,239 --> 00:56:11,600
Speaker 9: That's that's good point, Gary, That's probably the point in

957
00:56:12,000 --> 00:56:17,160
Speaker 9: my book Breakdown, where I compare the mental status of

958
00:56:17,920 --> 00:56:20,800
Speaker 9: Lee Harvey Oswald with Sir Hand.

959
00:56:20,880 --> 00:56:21,560
Speaker 5: Sir Hand.

960
00:56:22,360 --> 00:56:25,800
Speaker 9: What I found is that lots of people have commented

961
00:56:25,840 --> 00:56:30,839
Speaker 9: over the years, including forensic psychologists and psychiatrists, concerning their

962
00:56:30,920 --> 00:56:36,800
Speaker 9: individual psycho pathologies. There's been no real side by side

963
00:56:36,840 --> 00:56:42,440
Speaker 9: comparison of their of their developmental behaviors.

964
00:56:41,840 --> 00:56:43,040
Speaker 5: And how they got to.

965
00:56:44,880 --> 00:56:49,520
Speaker 9: A particular stage where they took up firearms and wanted

966
00:56:49,560 --> 00:56:53,480
Speaker 9: to kill the Kennedy brothers. In this book, I go

967
00:56:53,680 --> 00:56:57,080
Speaker 9: back historically, and as you say, there hasn't been much

968
00:56:57,200 --> 00:57:02,640
Speaker 9: really done in terms of an analysis or no comparison

969
00:57:02,719 --> 00:57:06,680
Speaker 9: of these two individuals. So I trace it all the

970
00:57:06,760 --> 00:57:12,280
Speaker 9: way back to probably about age twelve, where both of

971
00:57:11,520 --> 00:57:21,000
Speaker 9: these people experienced severe psychological traumas. With Lee Harvey Oswalt,

972
00:57:21,080 --> 00:57:24,680
Speaker 9: he was placed in a New York guidance center. He

973
00:57:24,720 --> 00:57:30,200
Speaker 9: was evaluated by a psychiatrist, a psychologist, and a social worker,

974
00:57:31,120 --> 00:57:36,360
Speaker 9: and the reports that came out concerning his behavior at

975
00:57:36,360 --> 00:57:42,880
Speaker 9: the time suggested that he had violent potential, violent tendencies,

976
00:57:43,080 --> 00:57:46,080
Speaker 9: was alienated, was cut off, in the strange.

977
00:57:45,680 --> 00:57:46,600
Speaker 5: From other people.

978
00:57:47,400 --> 00:57:53,720
Speaker 9: His psychological testing at that particular time, particularly using some

979
00:57:54,200 --> 00:57:59,360
Speaker 9: psychological projective techniques, also showed that he was cut off.

980
00:57:59,840 --> 00:58:03,720
Speaker 9: He was alien He was a strange from society. He

981
00:58:03,840 --> 00:58:08,000
Speaker 9: was a strange from his domineering, pretty much crazy mother,

982
00:58:08,240 --> 00:58:12,960
Speaker 9: Margaret Rete Oswald, who had a tremendous negative impact on

983
00:58:13,040 --> 00:58:16,320
Speaker 9: his life. When you compare that then to let's look

984
00:58:16,360 --> 00:58:20,280
Speaker 9: at Sirhan at age twelve, he was embroiled in the

985
00:58:20,320 --> 00:58:25,240
Speaker 9: same kind of conflict that was going on in Gaza today.

986
00:58:25,560 --> 00:58:30,680
Speaker 9: So there's a parallel between what happened was Sirhan's developmental

987
00:58:30,760 --> 00:58:36,320
Speaker 9: years at age twelve, still living in East Palestine East

988
00:58:36,400 --> 00:58:41,160
Speaker 9: Jerusalem that was later annexed as Jordan, but he saw

989
00:58:41,160 --> 00:58:45,880
Speaker 9: a terrible violence. He saw people being killed, his brother

990
00:58:46,200 --> 00:58:49,520
Speaker 9: was killed. He saw body parts, people blown up on

991
00:58:49,560 --> 00:58:52,200
Speaker 9: the street, He saw people who.

992
00:58:52,200 --> 00:58:56,000
Speaker 5: Were who were dismembered.

993
00:58:56,520 --> 00:59:01,440
Speaker 9: He had tremendous psychological pressures at the same stage, same

994
00:59:01,600 --> 00:59:04,800
Speaker 9: age as Lee Harvey Oswald did.

995
00:59:05,040 --> 00:59:07,439
Speaker 2: Well, it's kind of no wonder that the so called

996
00:59:07,520 --> 00:59:10,720
Speaker 2: Palestinian people, whomever they may be, the Arabs that call

997
00:59:10,800 --> 00:59:18,480
Speaker 2: themselves Palestinian, wind up with that kind of a history,

998
00:59:18,880 --> 00:59:22,640
Speaker 2: wind up electing terrorists as people to protect and to

999
00:59:22,760 --> 00:59:26,720
Speaker 2: lead them. It's no big surprise, is it.

1000
00:59:26,680 --> 00:59:27,920
Speaker 5: It's some big surprise.

1001
00:59:28,120 --> 00:59:33,400
Speaker 9: And the interesting the interesting point, Gary, is that as

1002
00:59:33,440 --> 00:59:36,720
Speaker 9: you look back me history repeats itself. It was the

1003
00:59:36,760 --> 00:59:43,040
Speaker 9: same exact situation happening in Gaza after that October seventh

1004
00:59:43,800 --> 00:59:50,080
Speaker 9: invasion and murder of the Jewish kids at the Rock festival.

1005
00:59:50,360 --> 00:59:54,560
Speaker 9: It was the same kind of pathology that Sirhan faced

1006
00:59:55,360 --> 01:00:01,080
Speaker 9: with belligerents during the time of the occupation of the British,

1007
01:00:01,160 --> 01:00:06,760
Speaker 9: turning it over to NATO to become a separate country,

1008
01:00:07,000 --> 01:00:09,960
Speaker 9: which it did in nineteen forty seven. So there are

1009
01:00:10,120 --> 01:00:16,040
Speaker 9: absolute similarities between what's happening today, what happened then, and

1010
01:00:16,200 --> 01:00:22,280
Speaker 9: the Palestinian government franchise pretty much has remained the same

1011
01:00:22,480 --> 01:00:27,680
Speaker 9: as a terrorist organization devoted to Mayhem, especially.

1012
01:00:27,160 --> 01:00:29,400
Speaker 5: Against the Jewish population.

1013
01:00:30,080 --> 01:00:36,080
Speaker 9: Sirhan couldn't avoid to be indoctrinated into this ideology of

1014
01:00:36,160 --> 01:00:37,120
Speaker 9: hating Jews.

1015
01:00:37,720 --> 01:00:40,040
Speaker 5: This substream of.

1016
01:00:40,160 --> 01:00:45,200
Speaker 9: Thought permeated his entire behavior and was well reflected in

1017
01:00:45,320 --> 01:00:49,280
Speaker 9: what we talked about before, which was the trial. During

1018
01:00:49,320 --> 01:00:54,320
Speaker 9: the trial, several of the doctors were Jewish, including doctor Diamond,

1019
01:00:56,280 --> 01:01:02,840
Speaker 9: and Sir Hand continually impaled belittled the jewishness of these

1020
01:01:02,880 --> 01:01:04,640
Speaker 9: doctors that were actually.

1021
01:01:04,280 --> 01:01:05,280
Speaker 5: Trying to help him.

1022
01:01:05,320 --> 01:01:10,840
Speaker 10: He wanted to to to to not deal with Jewish doctors.

1023
01:01:11,320 --> 01:01:16,240
Speaker 10: He kept he kept calling them, you know, against him,

1024
01:01:16,480 --> 01:01:18,560
Speaker 10: that they were anti Palestinian.

1025
01:01:19,160 --> 01:01:22,520
Speaker 5: None of this was true. The team of doctors that.

1026
01:01:22,480 --> 01:01:28,600
Speaker 9: Were Jewish of Jewish religion wanted to help him, but

1027
01:01:28,880 --> 01:01:32,840
Speaker 9: because of his hatred that was engendered when he was

1028
01:01:32,880 --> 01:01:37,800
Speaker 9: still in Palestine, really worked at variants with his own

1029
01:01:37,840 --> 01:01:43,880
Speaker 9: self interest to present a defense that might reduce the

1030
01:01:44,440 --> 01:01:48,200
Speaker 9: charges against him to second degree murder that would allowed

1031
01:01:48,320 --> 01:01:52,280
Speaker 9: him to get get parole rather than convicted of first

1032
01:01:52,360 --> 01:01:54,520
Speaker 9: degree murder where he was sentenced to death.

1033
01:01:54,960 --> 01:01:59,520
Speaker 3: All right, let's flash ahead to Luigi Mangioti and the

1034
01:02:01,000 --> 01:02:04,800
Speaker 3: Have you found any similar patterns in his development?

1035
01:02:06,720 --> 01:02:14,000
Speaker 9: Luigi Mangione I call an ideology tourist. There are so

1036
01:02:14,080 --> 01:02:18,400
Speaker 9: many of these people floating around in society, particularly on

1037
01:02:18,480 --> 01:02:21,720
Speaker 9: the on the dark pages of the Internet, who are

1038
01:02:21,760 --> 01:02:27,120
Speaker 9: looking for causes to tie their existence to or to

1039
01:02:27,400 --> 01:02:32,520
Speaker 9: justify their existence. Mangione was this kind of person, as

1040
01:02:32,640 --> 01:02:38,840
Speaker 9: evidenced by his own manifesto, where he was anti capitalistic,

1041
01:02:38,960 --> 01:02:46,840
Speaker 9: He was anti American, anti healthcare obviously, so his main

1042
01:02:46,920 --> 01:02:52,200
Speaker 9: focus was a destruction of the US healthcare system because

1043
01:02:52,240 --> 01:02:57,080
Speaker 9: he felt it was a a top down system that

1044
01:02:57,080 --> 01:03:01,680
Speaker 9: that militated against poor people denying claims. Even on three

1045
01:03:01,800 --> 01:03:06,800
Speaker 9: of the bullet casings he wrote words of denied delay

1046
01:03:06,960 --> 01:03:14,840
Speaker 9: and deposed meaning denied UH coverage for healthcare delay services,

1047
01:03:14,880 --> 01:03:17,960
Speaker 9: and then in the end deposed people or take them

1048
01:03:18,000 --> 01:03:23,040
Speaker 9: to court to reject their their medical claims. So his

1049
01:03:23,040 --> 01:03:27,120
Speaker 9: his ideology kind of blinded him and sent him into

1050
01:03:27,200 --> 01:03:28,720
Speaker 9: this this.

1051
01:03:29,640 --> 01:03:34,280
Speaker 5: Separate mind state where he thought that he was the.

1052
01:03:34,440 --> 01:03:39,880
Speaker 9: Important, most important person in the world to be able

1053
01:03:39,920 --> 01:03:45,160
Speaker 9: to change things his Interestingly enough, another person that I

1054
01:03:45,280 --> 01:03:49,160
Speaker 9: that I talk about in my book is Ted Kazinsky,

1055
01:03:49,280 --> 01:03:57,320
Speaker 9: the unibomber ted Kazinsky became Mangione's hero. He he recommended

1056
01:03:57,720 --> 01:04:06,120
Speaker 9: he recommended reading Kazinsky's book on the Anti Society, Anti

1057
01:04:06,200 --> 01:04:08,360
Speaker 9: Capitalistic Society, written.

1058
01:04:08,000 --> 01:04:09,280
Speaker 5: Thirty years before.

1059
01:04:10,040 --> 01:04:16,720
Speaker 9: So his ideology kind of sprang from from the Unibomber's

1060
01:04:16,800 --> 01:04:22,040
Speaker 9: ideology that was kind of nihilistic to overthrow the certain

1061
01:04:22,120 --> 01:04:26,400
Speaker 9: factions of the country, certain factions of the government. And

1062
01:04:26,440 --> 01:04:30,320
Speaker 9: Mangioni picked up on this during a reading session when

1063
01:04:30,320 --> 01:04:35,440
Speaker 9: he was in exile in in in Hawaii where he

1064
01:04:35,680 --> 01:04:39,800
Speaker 9: hooked up with a commune before he committed this particular crime.

1065
01:04:40,240 --> 01:04:43,720
Speaker 2: Oh, you know, and the Charlie kirkshooter, would you would

1066
01:04:43,760 --> 01:04:48,400
Speaker 2: you regard him as another one of these ideological tourists.

1067
01:04:49,280 --> 01:04:54,440
Speaker 9: Yeah, I think there that with Robinson, there's a similar

1068
01:04:54,600 --> 01:04:59,040
Speaker 9: kind of vein of thought where he was looking for

1069
01:04:59,360 --> 01:05:05,440
Speaker 9: a a way to justify the kind of behavior that

1070
01:05:05,480 --> 01:05:09,880
Speaker 9: he was about to engage in against Charlie Kirk. There's

1071
01:05:09,960 --> 01:05:16,640
Speaker 9: so many factors to that Robinson case, the transsexual issue

1072
01:05:17,960 --> 01:05:24,440
Speaker 9: with the boyfriend, with actually what Charlie Kirk was saying

1073
01:05:24,560 --> 01:05:30,080
Speaker 9: at the time that he was assassinated concerning transgenderism, is

1074
01:05:30,280 --> 01:05:35,360
Speaker 9: probably no coincidence that this is when he fired the

1075
01:05:35,360 --> 01:05:38,080
Speaker 9: fatal shot that killed Charlie Kirk.

1076
01:05:38,160 --> 01:05:38,680
Speaker 5: So he was.

1077
01:05:38,640 --> 01:05:42,680
Speaker 9: Another kind of lost soul drifting out there looking for

1078
01:05:42,800 --> 01:05:47,840
Speaker 9: some kind of meaning. And there are literally thousands of

1079
01:05:47,880 --> 01:05:52,120
Speaker 9: these people who become addicted to the Internet who seek

1080
01:05:52,240 --> 01:05:57,800
Speaker 9: some sort of existential meaning through the Internet and as

1081
01:05:57,840 --> 01:06:02,560
Speaker 9: an outlet that they want to justify their behavior as

1082
01:06:02,600 --> 01:06:08,640
Speaker 9: being the person who's capable of taking measures into their

1083
01:06:08,680 --> 01:06:13,120
Speaker 9: own hands to change society. So Robinson probably had a

1084
01:06:13,280 --> 01:06:19,640
Speaker 9: naive belief system that by by shooting Charlie Kirk that

1085
01:06:19,720 --> 01:06:23,280
Speaker 9: he was actually going to change something in society, whereas

1086
01:06:23,320 --> 01:06:27,280
Speaker 9: in the end he just becomes a murderer, just like

1087
01:06:27,560 --> 01:06:34,480
Speaker 9: Luigi Mangioni did, although Manngione probably a lot more ahead

1088
01:06:34,520 --> 01:06:39,720
Speaker 9: in terms of IQ points orchestrated and wrote about his

1089
01:06:40,320 --> 01:06:46,280
Speaker 9: belief system in his manifesto that the defense attorney now

1090
01:06:46,360 --> 01:06:51,120
Speaker 9: in New York is trying to preclude from being used

1091
01:06:51,160 --> 01:06:53,400
Speaker 9: as as evidence against him.

1092
01:06:53,880 --> 01:06:56,600
Speaker 2: Right, Doctor Brady, I tell people all the time, I'm

1093
01:06:56,640 --> 01:06:59,720
Speaker 2: so glad that I've had this career in radio, so

1094
01:06:59,760 --> 01:07:02,040
Speaker 2: I don't feel isolated and go shoot people.

1095
01:07:03,080 --> 01:07:03,960
Speaker 3: I have an outlet.

1096
01:07:04,080 --> 01:07:05,640
Speaker 5: Yeah, well you.

1097
01:07:05,600 --> 01:07:07,640
Speaker 9: Can also you can also talk to me, you know,

1098
01:07:07,680 --> 01:07:08,560
Speaker 9: I'll talk.

1099
01:07:08,720 --> 01:07:12,640
Speaker 2: I appreciate that, doctor John Brady. The book is Breakdown

1100
01:07:14,320 --> 01:07:18,920
Speaker 2: Inside the Mind of a Killer, a forensic psychologist that

1101
01:07:18,960 --> 01:07:20,240
Speaker 2: we are proud to have on the program.

1102
01:07:20,320 --> 01:07:21,600
Speaker 3: Again. Thank you, doctor Brady.

1103
01:07:21,880 --> 01:07:23,880
Speaker 5: And you can get that at Trying Day.

1104
01:07:24,640 --> 01:07:31,320
Speaker 9: Publishers are any Day or Barnes and Noble or of

1105
01:07:31,360 --> 01:07:35,720
Speaker 9: course on Amazon or from my website, doctor John C.

1106
01:07:35,880 --> 01:07:36,280
Speaker 5: Brady.

1107
01:07:36,440 --> 01:07:42,200
Speaker 2: And the title the title, the title is Breakdown. That's right,

1108
01:07:42,240 --> 01:07:44,760
Speaker 2: all right, thank you, doctor. We got to move along,

1109
01:07:44,800 --> 01:07:47,240
Speaker 2: but I appreciate your time certainly, Sir.

1110
01:07:47,480 --> 01:07:48,880
Speaker 5: Gary, thank you so much.

1111
01:07:49,080 --> 01:07:49,560
Speaker 3: You got it.

1112
01:07:49,600 --> 01:07:51,000
Speaker 5: I hope to talk to you again soon.

1113
01:07:51,160 --> 01:07:55,880
Speaker 2: Okay, more Nightcap ahead in just moments. Hang on Nightcap

1114
01:07:56,000 --> 01:08:01,560
Speaker 2: on this Monday evening. It's seven hundred ULW Garry Jeff

1115
01:08:01,600 --> 01:08:04,200
Speaker 2: our little interview show we do on Monday and Tuesday

1116
01:08:04,280 --> 01:08:08,000
Speaker 2: nights when the Reds aren't playing baseball, and thankfully they're

1117
01:08:08,000 --> 01:08:11,760
Speaker 2: not so I can work and bring you fantastic guests

1118
01:08:11,960 --> 01:08:14,440
Speaker 2: like our next one. He is a senior science advisor

1119
01:08:14,880 --> 01:08:19,120
Speaker 2: at the CO two Coalition. And if you listen to

1120
01:08:19,160 --> 01:08:21,800
Speaker 2: this program at all over the years, you know that

1121
01:08:22,000 --> 01:08:27,000
Speaker 2: CO two Coalition is based in Washington, DC area. Greg

1122
01:08:27,040 --> 01:08:32,479
Speaker 2: Wrightstone put that together initially and today we have many

1123
01:08:32,920 --> 01:08:36,240
Speaker 2: Derek Shani who is again the senior Science Advisor, And

1124
01:08:36,280 --> 01:08:39,960
Speaker 2: the thing about the CO two coalition is that they

1125
01:08:40,040 --> 01:08:43,519
Speaker 2: just put together actual facts and data and they try

1126
01:08:43,560 --> 01:08:46,640
Speaker 2: and educate the public on what's really going on with

1127
01:08:46,720 --> 01:08:49,960
Speaker 2: the climate or not going on with the climate. No

1128
01:08:50,040 --> 01:08:54,840
Speaker 2: matter what you're told in numerous mainstream sources elsewhere, the

1129
01:08:54,880 --> 01:08:58,439
Speaker 2: fear mongering that has gone on, the false data, the

1130
01:08:58,479 --> 01:09:03,080
Speaker 2: wrong computer models, and all of that monoly. Derek Shauna

1131
01:09:03,240 --> 01:09:06,000
Speaker 2: is a guy who actually, Derek Shawnee is a guy

1132
01:09:06,000 --> 01:09:12,240
Speaker 2: who actually puts together real science based models and data

1133
01:09:13,400 --> 01:09:17,040
Speaker 2: to tell the public what's really going on. So it's

1134
01:09:17,120 --> 01:09:19,599
Speaker 2: great to have you here, and thanks for being on

1135
01:09:19,640 --> 01:09:20,800
Speaker 2: the show. How are you.

1136
01:09:22,880 --> 01:09:24,800
Speaker 6: To be great? And it's a pleasure to be here.

1137
01:09:24,920 --> 01:09:27,080
Speaker 3: Thank you for having me all right, fantastic.

1138
01:09:27,200 --> 01:09:31,360
Speaker 2: So, as a senior science advisor, we've been told over

1139
01:09:31,400 --> 01:09:36,479
Speaker 2: and over again the lie that most scientists agree that

1140
01:09:36,640 --> 01:09:41,280
Speaker 2: man made caused, fossil fueled climate change is going to

1141
01:09:41,360 --> 01:09:45,040
Speaker 2: kill the planet and kill us. All the actual evidence

1142
01:09:45,280 --> 01:09:49,520
Speaker 2: is that the Earth is greening, we're not substantially warmer

1143
01:09:49,560 --> 01:09:55,280
Speaker 2: than we were, and that a man made causes as

1144
01:09:55,320 --> 01:10:02,000
Speaker 2: far as affecting the climate are magnificant or to the

1145
01:10:02,360 --> 01:10:07,400
Speaker 2: point of insignificant insignificance. But yet the push is still

1146
01:10:07,439 --> 01:10:12,320
Speaker 2: on by these globalists and people who want the redistribution

1147
01:10:12,479 --> 01:10:20,400
Speaker 2: of Western wealth to support their claim. First and foremost, Bnali, No,

1148
01:10:20,960 --> 01:10:24,479
Speaker 2: science is not Consensus's let's get that out of the

1149
01:10:24,520 --> 01:10:28,400
Speaker 2: way first. There's no consensus that that man made cause

1150
01:10:28,479 --> 01:10:31,080
Speaker 2: global warming is going to be the downfall of it's

1151
01:10:31,120 --> 01:10:35,360
Speaker 2: all in the planet because consensus is not science.

1152
01:10:35,479 --> 01:10:35,879
Speaker 3: Correct.

1153
01:10:37,680 --> 01:10:38,360
Speaker 6: Absolutely.

1154
01:10:38,600 --> 01:10:42,680
Speaker 11: That's also Michael crichteny thanously said, if it's science, it

1155
01:10:42,760 --> 01:10:46,360
Speaker 11: isn't consensus, and if it's consensus, it isn't science.

1156
01:10:47,680 --> 01:10:48,080
Speaker 3: Yeah.

1157
01:10:48,160 --> 01:10:51,040
Speaker 2: So, I mean, what have you found in your most

1158
01:10:51,080 --> 01:10:54,360
Speaker 2: recent research? Is there any new information that the CO

1159
01:10:54,600 --> 01:10:59,080
Speaker 2: two coalition has put together to try and convince people

1160
01:10:59,160 --> 01:11:02,000
Speaker 2: that they need to be paying attention to the truth

1161
01:11:02,160 --> 01:11:07,000
Speaker 2: and not all of the hype and the yelling and

1162
01:11:07,040 --> 01:11:09,040
Speaker 2: the noise it's coming from the other side.

1163
01:11:11,840 --> 01:11:12,040
Speaker 5: Yeah.

1164
01:11:12,160 --> 01:11:15,960
Speaker 11: So, in our latest newsletter for the CO two correlition,

1165
01:11:16,120 --> 01:11:21,160
Speaker 11: we expose the fear mongering surrounding the coral reefs, especially

1166
01:11:21,200 --> 01:11:26,320
Speaker 11: the Great Barrier Reef, and the alleged effect that global

1167
01:11:26,640 --> 01:11:30,799
Speaker 11: warming is having on the coral reef ecosystems on the planet.

1168
01:11:31,920 --> 01:11:33,400
Speaker 6: So in particular, one.

1169
01:11:33,280 --> 01:11:39,959
Speaker 11: Of the main talking points of the climate alarmist mafia

1170
01:11:40,600 --> 01:11:46,120
Speaker 11: is that the Great Barrier Reef or coral reefs globally

1171
01:11:46,320 --> 01:11:51,680
Speaker 11: are suffering and dying off as a result of the

1172
01:11:51,800 --> 01:11:57,880
Speaker 11: increased planetary temperatures, allegedly due to the rising concentration of

1173
01:11:57,920 --> 01:12:01,920
Speaker 11: CO two in the atmosphere calls by also allegedly or

1174
01:12:02,040 --> 01:12:05,960
Speaker 11: caused by us actually, but in fact, if we look

1175
01:12:05,960 --> 01:12:10,600
Speaker 11: at the latest measurement data of coral cover for the

1176
01:12:10,600 --> 01:12:14,800
Speaker 11: Great Barrier Reef, we find that actually in twenty twenty

1177
01:12:14,840 --> 01:12:22,360
Speaker 11: five the coral cover is the highest. It's still in

1178
01:12:22,400 --> 01:12:27,120
Speaker 11: a record high amounts in this forty year period. It's

1179
01:12:27,160 --> 01:12:29,439
Speaker 11: higher than it was in nineteen eighty five, and it's

1180
01:12:29,520 --> 01:12:32,760
Speaker 11: higher than it was anywhere between nineteen eighty five and

1181
01:12:33,320 --> 01:12:38,800
Speaker 11: around two thousand twenty one or so, And so in

1182
01:12:38,840 --> 01:12:41,120
Speaker 11: the past four years it's in the record high in

1183
01:12:41,439 --> 01:12:42,719
Speaker 11: a forty year time span.

1184
01:12:44,680 --> 01:12:48,519
Speaker 2: But doesn't this happen over and over again in the

1185
01:12:48,600 --> 01:12:54,360
Speaker 2: history of our planet. Is that there are natural cycles,

1186
01:12:54,520 --> 01:12:59,720
Speaker 2: There are solar cycles, and there is there are periods

1187
01:13:00,080 --> 01:13:01,760
Speaker 2: of warming, there are periods.

1188
01:13:01,360 --> 01:13:05,120
Speaker 3: Of great cooling, and we have very little effect.

1189
01:13:05,400 --> 01:13:09,240
Speaker 2: I mean, what are the numbers that say human caused

1190
01:13:09,280 --> 01:13:15,960
Speaker 2: climate change is a significant contributor to what our temperatures

1191
01:13:16,000 --> 01:13:18,400
Speaker 2: are and what the Earth does. It seems to me

1192
01:13:19,040 --> 01:13:22,800
Speaker 2: like things like the Great Barrier Reef that you just referenced,

1193
01:13:22,920 --> 01:13:27,400
Speaker 2: which is now a record high in production, is that

1194
01:13:27,920 --> 01:13:30,800
Speaker 2: this is a cycle that has occurred over time, over

1195
01:13:30,840 --> 01:13:32,000
Speaker 2: and over and over again.

1196
01:13:32,560 --> 01:13:36,080
Speaker 6: Right, that's absolutely correct.

1197
01:13:36,120 --> 01:13:38,840
Speaker 11: And in fact, you see that in the temperature in

1198
01:13:38,920 --> 01:13:44,240
Speaker 11: this coral reef cover data records from going forty years back.

1199
01:13:44,680 --> 01:13:47,360
Speaker 6: You see that it fluctuates.

1200
01:13:46,880 --> 01:13:51,240
Speaker 11: It oscillates around different values, and now it so happens

1201
01:13:51,280 --> 01:13:52,280
Speaker 11: that it's gone up.

1202
01:13:52,640 --> 01:13:54,240
Speaker 6: And there's a certain reason for that.

1203
01:13:54,320 --> 01:13:58,679
Speaker 11: A good reason for that because corals actually like warmer weather.

1204
01:13:58,880 --> 01:14:04,080
Speaker 11: They thrive in higher temperatures. They grow faster and higher temperatures,

1205
01:14:04,160 --> 01:14:07,519
Speaker 11: and that's also what we see in the Great Barrier Reef.

1206
01:14:08,160 --> 01:14:10,880
Speaker 11: The warmer areas of the Great Barrier Reef, an area

1207
01:14:10,880 --> 01:14:16,040
Speaker 11: of around one hundred and thirty thousand square miles. The

1208
01:14:16,080 --> 01:14:19,479
Speaker 11: growth rates are faster in the warmer areas and slower in.

1209
01:14:19,479 --> 01:14:24,599
Speaker 6: The colder areas. And the temperature.

1210
01:14:24,080 --> 01:14:27,960
Speaker 11: Of the planet of planet Earth indeed does vary on

1211
01:14:28,080 --> 01:14:31,920
Speaker 11: its own, independently of what humans are doing, and there's

1212
01:14:31,960 --> 01:14:36,280
Speaker 11: no evidence that the warming over the past forty five

1213
01:14:36,400 --> 01:14:41,879
Speaker 11: or fifty years, or even two hundred years has anything

1214
01:14:41,920 --> 01:14:45,559
Speaker 11: to do with the or anything any thing meaningful to

1215
01:14:45,560 --> 01:14:48,200
Speaker 11: do with the amount of CO two that we are

1216
01:14:48,240 --> 01:14:51,400
Speaker 11: putting into the atmosphere through the burden of fossil fuels.

1217
01:14:51,760 --> 01:14:55,840
Speaker 11: There are many other factors that dominate control over planetary

1218
01:14:55,880 --> 01:15:02,599
Speaker 11: temperatures of Earth, mainly water, vapor clouds, the amount of

1219
01:15:03,120 --> 01:15:06,519
Speaker 11: heat that's put the positives into the atmosphere from various

1220
01:15:06,560 --> 01:15:13,320
Speaker 11: ocean cycles like Almino and other ocean cycle processes. All

1221
01:15:13,360 --> 01:15:16,200
Speaker 11: of these factors play a much much larger role in

1222
01:15:16,439 --> 01:15:20,560
Speaker 11: controlling or regulating or changing the temperatures of the planet

1223
01:15:20,720 --> 01:15:23,519
Speaker 11: then we do through burning fossil fields.

1224
01:15:23,600 --> 01:15:26,679
Speaker 2: We keep hearing from all these loud, shrill voices around

1225
01:15:26,800 --> 01:15:31,439
Speaker 2: us that are promoting this man made climate change, that

1226
01:15:32,479 --> 01:15:37,440
Speaker 2: hurricanes and tornadoes and weather is becoming more and more extreme.

1227
01:15:38,400 --> 01:15:41,559
Speaker 3: What does the actual data show on that.

1228
01:15:43,400 --> 01:15:46,320
Speaker 11: The actual data shows that to the extent that we

1229
01:15:46,400 --> 01:15:50,679
Speaker 11: have data on this, from say satellite records, or from

1230
01:15:51,360 --> 01:15:55,160
Speaker 11: counts or measures of the intensity of hurricanes. Going back

1231
01:15:55,920 --> 01:15:59,400
Speaker 11: one hundred years, we find that the data actually shows

1232
01:15:59,439 --> 01:16:05,160
Speaker 11: that there's been no real discernible change in hurricanes or tornadoes,

1233
01:16:05,760 --> 01:16:10,240
Speaker 11: or tropical storms or anything like that. And this is

1234
01:16:10,280 --> 01:16:13,200
Speaker 11: even admitted, by the way, by the National Ocean and

1235
01:16:13,240 --> 01:16:18,560
Speaker 11: Atmospheric Administration during the Vibing Administration on their own website,

1236
01:16:18,640 --> 01:16:23,040
Speaker 11: they do a detailed study of how hurricane number and

1237
01:16:23,640 --> 01:16:27,400
Speaker 11: intensity has changed going back one hundred plus years, and

1238
01:16:27,439 --> 01:16:30,599
Speaker 11: they conclude that there is no evidence of any increase

1239
01:16:31,439 --> 01:16:36,719
Speaker 11: in hurricane activity or in the hurricane intensity over this time.

1240
01:16:36,760 --> 01:16:40,559
Speaker 2: Spin we're talking to Minelli Derek Shawnee from the CO

1241
01:16:40,760 --> 01:16:46,439
Speaker 2: two Coalition. Now, I've heard in previous discussions with doctor

1242
01:16:46,479 --> 01:16:51,000
Speaker 2: Wrightstone and others that we actually have a period of

1243
01:16:51,120 --> 01:16:57,360
Speaker 2: greening going on across the globe, that crop production is

1244
01:16:57,439 --> 01:17:01,160
Speaker 2: up in many cases, and that the planet is becoming greener.

1245
01:17:01,960 --> 01:17:04,120
Speaker 2: Which I don't see that as I don't see that

1246
01:17:04,160 --> 01:17:08,799
Speaker 2: as something that bodes ill for the ecosystem or the Earth,

1247
01:17:08,920 --> 01:17:12,400
Speaker 2: do you, guys, I mean, what have you found.

1248
01:17:12,200 --> 01:17:12,960
Speaker 3: Out about that?

1249
01:17:15,400 --> 01:17:20,000
Speaker 11: Indeed the planet has been greening. The amount of vegetation,

1250
01:17:20,920 --> 01:17:26,400
Speaker 11: plant life, trees, globally, cover of vegetation has been going

1251
01:17:26,479 --> 01:17:30,799
Speaker 11: up substantially over the past forty plus years as measured

1252
01:17:30,840 --> 01:17:34,160
Speaker 11: by satellites and even NASA amidst this, that this has

1253
01:17:34,200 --> 01:17:39,679
Speaker 11: been happening, and that predominantly this is because humans are

1254
01:17:40,000 --> 01:17:43,519
Speaker 11: increasing the concentration of CO two in the atmosphere.

1255
01:17:43,120 --> 01:17:44,479
Speaker 6: Through the burning of fossil fields.

1256
01:17:45,120 --> 01:17:49,240
Speaker 11: More vegetation, more plant life means there's more food that

1257
01:17:49,439 --> 01:17:52,839
Speaker 11: can be grown. There's more farmable land on the planet.

1258
01:17:53,280 --> 01:17:56,680
Speaker 11: Places that couldn't be farmed before now can be. They

1259
01:17:56,720 --> 01:18:02,479
Speaker 11: can produce agriculture there, And in general, there's nothing wrong

1260
01:18:02,560 --> 01:18:04,080
Speaker 11: with having a greener planet.

1261
01:18:04,880 --> 01:18:05,880
Speaker 6: It's actually a good thing.

1262
01:18:05,920 --> 01:18:08,400
Speaker 11: There's no reason to think that that produces any sort

1263
01:18:08,439 --> 01:18:11,639
Speaker 11: of harm to human well being or for that matter,

1264
01:18:11,720 --> 01:18:14,720
Speaker 11: to animal well being. If anything, it helps the animals too,

1265
01:18:15,200 --> 01:18:17,360
Speaker 11: because they have a plenty more food to eat.

1266
01:18:18,120 --> 01:18:22,360
Speaker 2: But isn't it also true that the warming that has

1267
01:18:22,439 --> 01:18:27,000
Speaker 2: been occurring, say during the last two hundred years or whatever,

1268
01:18:27,280 --> 01:18:30,760
Speaker 2: has been very gradual and not drastic. Some of their

1269
01:18:30,880 --> 01:18:34,640
Speaker 2: computer modeling, and I say there, I'm talking about the

1270
01:18:34,680 --> 01:18:39,320
Speaker 2: other side of this issue, has told them that we'd

1271
01:18:39,320 --> 01:18:43,800
Speaker 2: have a three point five person I don't know, I

1272
01:18:43,800 --> 01:18:47,080
Speaker 2: don't know the exact numbers on it, but they projected

1273
01:18:47,920 --> 01:18:51,320
Speaker 2: the temperatures to be warming much more than they have been,

1274
01:18:51,680 --> 01:18:54,559
Speaker 2: and their predictions have always been wrong because they're based

1275
01:18:54,600 --> 01:18:56,960
Speaker 2: on bad computer modeling.

1276
01:18:57,479 --> 01:18:59,799
Speaker 3: What have you guys found for your own.

1277
01:18:59,680 --> 01:19:05,439
Speaker 11: Data, Well, we've found the very same thing. That the

1278
01:19:05,479 --> 01:19:12,920
Speaker 11: computer models overwhelmingly do not correctly describe past changes in

1279
01:19:13,160 --> 01:19:16,920
Speaker 11: global temperature, and nor do they predict future changes in

1280
01:19:16,960 --> 01:19:20,960
Speaker 11: global temperature accurately at all. And a big part of

1281
01:19:21,000 --> 01:19:26,280
Speaker 11: the reason for this is because these models they assume that,

1282
01:19:26,360 --> 01:19:30,000
Speaker 11: in addition to carbon dioxide warming the planet, they assume

1283
01:19:30,120 --> 01:19:36,639
Speaker 11: that water in the atmosphere significantly enhances the warming from

1284
01:19:36,760 --> 01:19:40,280
Speaker 11: CO two in the atmosphere. And when we compare that

1285
01:19:40,360 --> 01:19:43,880
Speaker 11: assumption and the predictions of these models to data from

1286
01:19:44,120 --> 01:19:48,599
Speaker 11: satellite measurements of the temperature of the lower atmosphere, from

1287
01:19:48,640 --> 01:19:51,360
Speaker 11: weather balloon measurements is the temperature of the lower atmosphere,

1288
01:19:51,360 --> 01:19:54,160
Speaker 11: and other data sets, we find that the actual rate

1289
01:19:54,200 --> 01:19:57,879
Speaker 11: of warming is much slower than what these models predict.

1290
01:19:58,680 --> 01:19:59,880
Speaker 6: And these models, also, by.

1291
01:19:59,840 --> 01:20:04,320
Speaker 11: The way, don't even accurately model or account for the

1292
01:20:04,320 --> 01:20:10,760
Speaker 11: influence of internal variations of the climate, like due to

1293
01:20:11,760 --> 01:20:15,240
Speaker 11: ocean cycles that I mentioned earlier, nor nor.

1294
01:20:15,200 --> 01:20:17,640
Speaker 6: The influence of water in the atmosphere.

1295
01:20:17,760 --> 01:20:21,679
Speaker 11: So these models are essentially scientifically, I would say, useless

1296
01:20:21,720 --> 01:20:26,880
Speaker 11: for the purpose of explaining temperature changes globally or even

1297
01:20:26,920 --> 01:20:28,679
Speaker 11: predicting temperature changes globally.

1298
01:20:29,320 --> 01:20:31,360
Speaker 6: Well, exactly how science should be done.

1299
01:20:31,479 --> 01:20:36,360
Speaker 2: No, there's a difference between science and actual facts that

1300
01:20:36,400 --> 01:20:42,400
Speaker 2: you can document and predictions that aren't based in science.

1301
01:20:43,520 --> 01:20:47,440
Speaker 2: And it doesn't relate to your work, the CO two coalition.

1302
01:20:47,840 --> 01:20:52,280
Speaker 2: But it's the same thing. I remember post COVID what

1303
01:20:52,439 --> 01:20:58,040
Speaker 2: Fauci said. He said about the about the six foot rule. Well,

1304
01:20:58,320 --> 01:21:00,880
Speaker 2: you know, after they were preaching it was science. It

1305
01:21:00,920 --> 01:21:02,959
Speaker 2: was science. You had to have six feet of separation

1306
01:21:03,080 --> 01:21:06,080
Speaker 2: to stay safe from the virus. When they said, Brian,

1307
01:21:06,280 --> 01:21:09,280
Speaker 2: he said later, that's just something we kind of decided on.

1308
01:21:09,360 --> 01:21:11,439
Speaker 2: We just kind of made it up and put it

1309
01:21:11,479 --> 01:21:15,320
Speaker 2: out there as science. It's the same thing in many

1310
01:21:15,400 --> 01:21:19,240
Speaker 2: cases with these climate mafia people, is it not.

1311
01:21:22,080 --> 01:21:23,439
Speaker 6: It's exactly the same thing.

1312
01:21:23,600 --> 01:21:29,879
Speaker 11: For example, this IPCCUN proclamation that we have to avoid

1313
01:21:31,240 --> 01:21:34,200
Speaker 11: one more degree celsius of warming or two more degrees

1314
01:21:34,280 --> 01:21:38,000
Speaker 11: celsius of warming otherwise something catastrophically bad will happen to

1315
01:21:38,040 --> 01:21:41,040
Speaker 11: the human race. That's completely made up. In the same

1316
01:21:41,040 --> 01:21:44,240
Speaker 11: way that the Fauci six foot separation thing is it

1317
01:21:44,280 --> 01:21:48,759
Speaker 11: has no scientific basis whatsoever, and yet it's a complete

1318
01:21:48,840 --> 01:21:54,000
Speaker 11: application for political purposes to scare the public into accepting

1319
01:21:54,040 --> 01:21:59,640
Speaker 11: all of these drastic totalitarian controls on our economies, on

1320
01:21:59,640 --> 01:22:01,120
Speaker 11: our lives, and so on.

1321
01:22:01,560 --> 01:22:05,160
Speaker 2: Well, there's someone who's been involved with science all their lives,

1322
01:22:05,479 --> 01:22:11,720
Speaker 2: which I'm assuming you have, you know that science is

1323
01:22:11,760 --> 01:22:14,840
Speaker 2: not consensus, like we talked about earlier. And you also

1324
01:22:15,000 --> 01:22:21,479
Speaker 2: know that whoever's paying for the study will get the

1325
01:22:21,520 --> 01:22:28,080
Speaker 2: results that they want with sometimes very shoddy information and

1326
01:22:28,200 --> 01:22:29,280
Speaker 2: data to back it up.

1327
01:22:29,479 --> 01:22:33,200
Speaker 6: Right, That's exactly right.

1328
01:22:33,280 --> 01:22:37,639
Speaker 11: And in the case of climate science, it became heavily

1329
01:22:37,720 --> 01:22:41,720
Speaker 11: politicized in the nineteen eighties by Al Gore, the Democrats

1330
01:22:41,760 --> 01:22:46,040
Speaker 11: and activists. Climate scientists like James Hansen and even Carl

1331
01:22:46,080 --> 01:22:50,479
Speaker 11: Sagan is guilty of contributing to this, and ever since

1332
01:22:50,880 --> 01:22:55,680
Speaker 11: it became politicized government funding for climate science research as

1333
01:22:55,760 --> 01:23:01,920
Speaker 11: long as it promotes the narrative that man made CO

1334
01:23:02,160 --> 01:23:06,799
Speaker 11: two emissions are causing catastrophic global warming. As long as

1335
01:23:06,840 --> 01:23:09,960
Speaker 11: the research supports that narrative, they get tons of funding,

1336
01:23:10,040 --> 01:23:13,439
Speaker 11: millions and millions of dollars in government funding. So when

1337
01:23:13,439 --> 01:23:17,200
Speaker 11: you have a politicized science like this. Of course, much

1338
01:23:17,240 --> 01:23:20,240
Speaker 11: of the science is going to say a lot of

1339
01:23:20,240 --> 01:23:23,599
Speaker 11: this propaganda, and it's not going to be about searching

1340
01:23:23,680 --> 01:23:27,559
Speaker 11: for the truth. It's going to be about saying what

1341
01:23:28,439 --> 01:23:32,040
Speaker 11: the ex saying the narrative that is going to lead

1342
01:23:32,080 --> 01:23:35,519
Speaker 11: to more funding and the thay, that's what we've been

1343
01:23:35,600 --> 01:23:37,400
Speaker 11: seeing for the last forty something years.

1344
01:23:37,479 --> 01:23:40,840
Speaker 2: Sure, it's all about the Benny's all about the Benjamins.

1345
01:23:41,160 --> 01:23:45,160
Speaker 2: And well, I really appreciate your time. Again, if people

1346
01:23:45,160 --> 01:23:48,040
Speaker 2: want to find out more, You've got several great learning

1347
01:23:48,120 --> 01:23:53,040
Speaker 2: resources I know at the CO two Coalition. Tell folks

1348
01:23:53,080 --> 01:23:57,400
Speaker 2: where they might find out more information in your latest

1349
01:23:57,479 --> 01:24:00,679
Speaker 2: data and finding because science is changing all the time

1350
01:24:00,760 --> 01:24:04,559
Speaker 2: and we discover new things almost every day. To say

1351
01:24:04,600 --> 01:24:08,240
Speaker 2: something is set the science is set is a misnomer

1352
01:24:08,280 --> 01:24:12,200
Speaker 2: as well. So if you would please, mister Derek Shannie,

1353
01:24:12,520 --> 01:24:14,559
Speaker 2: give us a give us a hint on where we

1354
01:24:14,600 --> 01:24:15,479
Speaker 2: can find out more.

1355
01:24:17,840 --> 01:24:22,040
Speaker 11: I would encourage everyone to visit our website CO two

1356
01:24:22,520 --> 01:24:27,680
Speaker 11: Coalition dot org so COO number two Coalition all one

1357
01:24:27,800 --> 01:24:31,719
Speaker 11: word dot org, and there you can find information about

1358
01:24:32,120 --> 01:24:37,400
Speaker 11: our organization, information about myself, information about the founders, the

1359
01:24:37,560 --> 01:24:41,200
Speaker 11: Board of directors and also all of our scientific and

1360
01:24:41,320 --> 01:24:43,280
Speaker 11: non scientific publications.

1361
01:24:44,200 --> 01:24:45,000
Speaker 3: Thank you so much.

1362
01:24:45,040 --> 01:24:47,040
Speaker 6: Of course, welcome feedback from your audience.

1363
01:24:47,320 --> 01:24:50,280
Speaker 2: Thank you so much, and I encourage everyone to go.

1364
01:24:50,360 --> 01:24:56,719
Speaker 2: It's a wonderful website and there's so much real information there. Man, Alie, Derek, Shaanne,

1365
01:24:56,880 --> 01:24:58,559
Speaker 2: thank you so much. And I hope it didn't mangle

1366
01:24:58,600 --> 01:24:59,040
Speaker 2: your name to.

1367
01:24:59,120 --> 01:25:01,880
Speaker 6: Ben, not at all. Thank you.

1368
01:25:01,840 --> 01:25:04,160
Speaker 3: It was my pleasure, all right, sir. Take care.

1369
01:25:04,720 --> 01:25:06,840
Speaker 2: It is a nightcap and we will finish off with

1370
01:25:06,880 --> 01:25:09,960
Speaker 2: the with the wild Man coming up in just a

1371
01:25:09,960 --> 01:25:14,040
Speaker 2: few minutes. Hang on, and I think we're about ready

1372
01:25:14,080 --> 01:25:18,840
Speaker 2: to light the candle and I'll let him blow. It's

1373
01:25:19,320 --> 01:25:22,720
Speaker 2: it's time to finish this nightcap with the wild Man.

1374
01:25:22,800 --> 01:25:25,640
Speaker 2: Wild Man, Walker is back for another bite at the

1375
01:25:25,680 --> 01:25:28,040
Speaker 2: apple if he's done chewing his bacon.

1376
01:25:28,720 --> 01:25:30,120
Speaker 3: Wild Man, what's going on?

1377
01:25:30,240 --> 01:25:33,200
Speaker 12: Man, I'm just chilling.

1378
01:25:33,320 --> 01:25:33,479
Speaker 9: Man.

1379
01:25:33,560 --> 01:25:36,400
Speaker 12: You know, I'm happy about the UC Bearcats. I'm happy

1380
01:25:36,400 --> 01:25:39,320
Speaker 12: about the Bengals. With that big win over the Steelers,

1381
01:25:39,640 --> 01:25:40,320
Speaker 12: all is good.

1382
01:25:41,200 --> 01:25:44,439
Speaker 2: So I mean, yeah that let's let's dissect that big

1383
01:25:44,479 --> 01:25:48,080
Speaker 2: win over the Steelers. Now five days, hence we've had

1384
01:25:48,240 --> 01:25:50,599
Speaker 2: plenty of time to hear all the other pundits talk

1385
01:25:50,680 --> 01:25:52,640
Speaker 2: about what went on or what didn't go on in

1386
01:25:52,680 --> 01:25:55,080
Speaker 2: the game and how Joe Flacca is now going to

1387
01:25:55,120 --> 01:25:57,479
Speaker 2: lead the Bengals to the Super Bowl. I've heard enough

1388
01:25:57,479 --> 01:26:04,640
Speaker 2: of that nonsense. But what what happened right? And what

1389
01:26:04,760 --> 01:26:06,280
Speaker 2: are the Bengals still need to work on?

1390
01:26:06,360 --> 01:26:06,920
Speaker 3: Wild Man?

1391
01:26:07,439 --> 01:26:09,439
Speaker 12: What happened right? They were able to run the ball,

1392
01:26:09,600 --> 01:26:12,280
Speaker 12: you know, and anybody knows anything about football, it's elementary.

1393
01:26:12,360 --> 01:26:14,840
Speaker 12: Do you run the football sets up the past. The

1394
01:26:14,880 --> 01:26:16,679
Speaker 12: offensive line has done a good job in the last

1395
01:26:16,720 --> 01:26:21,120
Speaker 12: two games opening up holes for Chase Brown, so that's

1396
01:26:21,160 --> 01:26:24,040
Speaker 12: a good thing. They had a record day. I mean,

1397
01:26:24,080 --> 01:26:27,400
Speaker 12: they were like dead last in the NFL and rushing.

1398
01:26:28,080 --> 01:26:29,360
Speaker 6: But I believe they had over one.

1399
01:26:29,280 --> 01:26:32,799
Speaker 12: Hundred plus yards in that game. And then also protected

1400
01:26:32,880 --> 01:26:35,920
Speaker 12: Joe Flacco, who gets the ball out quick. And hey,

1401
01:26:36,040 --> 01:26:37,840
Speaker 12: when you got a guy like Jamar Chase and you

1402
01:26:37,920 --> 01:26:40,040
Speaker 12: got a guy like t Higgins, get th ou of

1403
01:26:40,080 --> 01:26:42,720
Speaker 12: those guys and they can't cover both of them, you know,

1404
01:26:42,720 --> 01:26:43,880
Speaker 12: at the same time they try.

1405
01:26:44,200 --> 01:26:44,960
Speaker 3: That's why you have.

1406
01:26:45,320 --> 01:26:49,360
Speaker 12: Jose of this, and you got a fans you to

1407
01:26:49,439 --> 01:26:52,360
Speaker 12: throw those guys, and then Joe Flacco was smart enough

1408
01:26:52,360 --> 01:26:54,880
Speaker 12: to do that, and you just mentioned about Joe Flacco

1409
01:26:55,000 --> 01:26:58,000
Speaker 12: leading the Bengals to the Super Bowl, and I've read

1410
01:26:58,000 --> 01:27:00,840
Speaker 12: a bunch of nonsense to a Joe and you still

1411
01:27:00,840 --> 01:27:03,000
Speaker 12: got the talking heads and they have no idea what

1412
01:27:03,040 --> 01:27:05,960
Speaker 12: a turftow injury is about. Joe Burrow could be back

1413
01:27:05,960 --> 01:27:07,760
Speaker 12: in the summer. Joe Burrow is not going to take

1414
01:27:07,800 --> 01:27:09,160
Speaker 12: one snap of the rest of the way. It's not

1415
01:27:09,200 --> 01:27:11,320
Speaker 12: going to happen. It's not going to happen. That injury

1416
01:27:11,520 --> 01:27:14,920
Speaker 12: is too severe. That's why Dion Sanders had to retire.

1417
01:27:15,120 --> 01:27:18,240
Speaker 12: But let's say Joe Flacco gets us to the playoffs.

1418
01:27:18,560 --> 01:27:21,519
Speaker 12: You ride Joe Flacco. Go back and look at the

1419
01:27:21,560 --> 01:27:24,559
Speaker 12: history of Earl Morrile, who led the Baltimore Coltch to

1420
01:27:24,600 --> 01:27:27,120
Speaker 12: the NFL championship before they played the Jets.

1421
01:27:27,360 --> 01:27:28,680
Speaker 5: He replaced Johnny.

1422
01:27:28,439 --> 01:27:31,040
Speaker 12: Unitas and he also did the same thing in Miami

1423
01:27:31,080 --> 01:27:34,839
Speaker 12: in seventy two, replacing Bob Greasy and getting into the playoffs,

1424
01:27:34,880 --> 01:27:36,240
Speaker 12: and then he put Greasey.

1425
01:27:35,840 --> 01:27:36,800
Speaker 6: In, who was healthy.

1426
01:27:36,840 --> 01:27:39,200
Speaker 12: I mean, Johnny U was pretty much a shell of themself.

1427
01:27:39,400 --> 01:27:42,280
Speaker 12: So Joe Flacco is more than capable, but it takes

1428
01:27:42,280 --> 01:27:44,120
Speaker 12: a whole team to do it, you know, do what

1429
01:27:44,160 --> 01:27:48,160
Speaker 12: we hope they can do. Now, what's the band side.

1430
01:27:48,280 --> 01:27:51,040
Speaker 12: Ben will still have a hard problem tackling and also

1431
01:27:51,120 --> 01:27:53,720
Speaker 12: stopping to run. I mean they still have a hard

1432
01:27:53,760 --> 01:27:56,040
Speaker 12: time stopping the run. And there's some of their tackling

1433
01:27:56,160 --> 01:27:58,280
Speaker 12: is like, oh my god. Do they teach these guys

1434
01:27:58,439 --> 01:28:00,680
Speaker 12: how to tackle in high school? Do they teach him

1435
01:28:00,680 --> 01:28:02,960
Speaker 12: at Pop Warner? I mean, they get to the NFL,

1436
01:28:03,520 --> 01:28:05,280
Speaker 12: you should learn how to tackle. I'll go back to

1437
01:28:05,320 --> 01:28:07,680
Speaker 12: the old thing that Pete Rose used to say. If

1438
01:28:07,720 --> 01:28:09,680
Speaker 12: I have to teach you how to bunt, then you

1439
01:28:09,680 --> 01:28:12,080
Speaker 12: don't belong in the major leagues. And that's the why

1440
01:28:12,080 --> 01:28:13,840
Speaker 12: I look at it this way. You should know how

1441
01:28:13,880 --> 01:28:14,479
Speaker 12: to tackle.

1442
01:28:15,040 --> 01:28:17,080
Speaker 2: I agree, you know, And that is one of the

1443
01:28:17,120 --> 01:28:21,120
Speaker 2: most frustrating things about watching the Cincinnati Bengals over the

1444
01:28:21,160 --> 01:28:25,360
Speaker 2: last well gosh, as long as I can remember, they've

1445
01:28:25,400 --> 01:28:29,200
Speaker 2: had a hard problem getting guys who can wrap a

1446
01:28:29,240 --> 01:28:31,880
Speaker 2: guy up and bring him down. And there are a

1447
01:28:31,880 --> 01:28:35,280
Speaker 2: lot of powerful backs that the Bengals have played and

1448
01:28:35,360 --> 01:28:38,960
Speaker 2: will play the rest of the season. You mentioned the

1449
01:28:39,760 --> 01:28:44,040
Speaker 2: running game last Thursday night. The Bengals went from two

1450
01:28:44,080 --> 01:28:47,080
Speaker 2: point seven yards to carry I think to six point

1451
01:28:47,120 --> 01:28:52,880
Speaker 2: one in that game, which enabled Joe Flacco to do

1452
01:28:52,960 --> 01:28:56,639
Speaker 2: those chunk play passes and Lamar Chase, I mean, Jamar

1453
01:28:56,760 --> 01:29:01,519
Speaker 2: Chase look had broke a Bengals record sixteen receptions. No

1454
01:29:01,640 --> 01:29:05,120
Speaker 2: Bengals receiver has ever had sixteen receptions in a game.

1455
01:29:05,840 --> 01:29:08,200
Speaker 12: And I run, I run out of words, Gary Jeff

1456
01:29:08,800 --> 01:29:11,920
Speaker 12: for Jamar Chase. How great that guy is? I mean

1457
01:29:12,160 --> 01:29:15,280
Speaker 12: we may be looking, but the greatest Bengal ever. I mean,

1458
01:29:15,479 --> 01:29:17,439
Speaker 12: there's an argument there down the road here and there,

1459
01:29:17,520 --> 01:29:20,640
Speaker 12: but right now, Jamar Chase, it's unreal the stuff that

1460
01:29:20,640 --> 01:29:22,360
Speaker 12: he can do. And you know, not only does he

1461
01:29:22,439 --> 01:29:24,960
Speaker 12: catch the passes, but he breaks the tackles. And once

1462
01:29:25,000 --> 01:29:26,960
Speaker 12: he breaks that tackle, if you don't get him down

1463
01:29:26,960 --> 01:29:28,280
Speaker 12: the first time, he's gone.

1464
01:29:28,840 --> 01:29:32,280
Speaker 2: And plus because he is so good and directs so

1465
01:29:32,400 --> 01:29:36,639
Speaker 2: much that the other team's focus on him, it opens up.

1466
01:29:36,520 --> 01:29:38,720
Speaker 3: The drawer for t Higgins.

1467
01:29:38,840 --> 01:29:43,479
Speaker 2: T Higgins and Josevac and Fant and anybody else who's

1468
01:29:43,720 --> 01:29:46,600
Speaker 2: you know, able to catch a ball. For the Bengals

1469
01:29:47,160 --> 01:29:50,080
Speaker 2: that you know what, they have lots of room to

1470
01:29:50,160 --> 01:29:53,639
Speaker 2: move if everybody is going to focus on Number one

1471
01:29:53,960 --> 01:29:54,719
Speaker 2: the whole game.

1472
01:29:55,439 --> 01:29:57,040
Speaker 12: Now, I'll be honest with you. I'll be honest with

1473
01:29:57,080 --> 01:29:58,880
Speaker 12: you. You know that man went back and forth, and it

1474
01:29:59,000 --> 01:30:00,760
Speaker 12: was it was really a game the ages, I mean

1475
01:30:01,160 --> 01:30:03,479
Speaker 12: people people that went to the game, after people.

1476
01:30:04,720 --> 01:30:05,080
Speaker 6: It was.

1477
01:30:05,160 --> 01:30:07,920
Speaker 12: It was when money Back went to kick the field goal.

1478
01:30:08,200 --> 01:30:09,120
Speaker 3: I really didn't want to.

1479
01:30:09,120 --> 01:30:12,800
Speaker 12: Watch because I remember last year he missed a couple

1480
01:30:12,840 --> 01:30:14,600
Speaker 12: of them and it cost us the game. But he

1481
01:30:15,280 --> 01:30:17,519
Speaker 12: was so far this year he's really been, he's been.

1482
01:30:17,479 --> 01:30:20,240
Speaker 3: He's been back a wild man.

1483
01:30:20,280 --> 01:30:22,559
Speaker 2: It was one of those moments where you see the

1484
01:30:22,600 --> 01:30:25,240
Speaker 2: guy with a hand over his face and he just

1485
01:30:25,360 --> 01:30:28,000
Speaker 2: opens up his fingers a little bit so I can

1486
01:30:28,040 --> 01:30:32,400
Speaker 2: peek out of one eye to say God please, you know.

1487
01:30:32,520 --> 01:30:34,360
Speaker 12: And then of course, and then Rogers at the end,

1488
01:30:34,439 --> 01:30:37,760
Speaker 12: because knowing has reputation, you know in Hail Mary games.

1489
01:30:37,880 --> 01:30:40,160
Speaker 12: He gets enough time to flink in seventy yards and

1490
01:30:40,200 --> 01:30:42,880
Speaker 12: the ball's sailing and you're thinking, oh no, and our

1491
01:30:42,960 --> 01:30:45,320
Speaker 12: guys are smart enough. I think it was Jordan that

1492
01:30:45,520 --> 01:30:47,360
Speaker 12: got him and knock the ball down. Don't try to

1493
01:30:47,360 --> 01:30:48,479
Speaker 12: catch it, knock it down.

1494
01:30:48,880 --> 01:30:49,560
Speaker 3: Absolutely.

1495
01:30:49,800 --> 01:30:52,800
Speaker 2: I mean it was a storybook kind of ending, and

1496
01:30:52,840 --> 01:30:55,280
Speaker 2: the wide out at Bay Corps and the whole thing

1497
01:30:56,320 --> 01:31:00,559
Speaker 2: very very raucous. The crowd was into it. I'm at home,

1498
01:31:00,880 --> 01:31:06,120
Speaker 2: I'm into it. Uh And Obviously the Bengals were into

1499
01:31:06,160 --> 01:31:08,600
Speaker 2: it enough to beat a division rival. You know what

1500
01:31:08,640 --> 01:31:11,240
Speaker 2: they haven't They haven't lost a game in the Division

1501
01:31:11,880 --> 01:31:13,479
Speaker 2: two and oh in the Vision. Now they got the

1502
01:31:13,520 --> 01:31:16,439
Speaker 2: Jets coming to town and they absolutely stink oh and seven.

1503
01:31:16,760 --> 01:31:18,760
Speaker 2: I don't know how long they'll stay with their head

1504
01:31:18,760 --> 01:31:21,360
Speaker 2: coach there. You can't look past the Jets because you

1505
01:31:21,400 --> 01:31:23,880
Speaker 2: know the old saying on any given Sunday. But the

1506
01:31:23,920 --> 01:31:26,680
Speaker 2: Bengals are going to be well rested, and now they're

1507
01:31:26,720 --> 01:31:27,840
Speaker 2: going to stick it to the Jets.

1508
01:31:28,000 --> 01:31:30,400
Speaker 12: And then you bring the Bears in here. The Bears

1509
01:31:30,360 --> 01:31:32,719
Speaker 12: are not too bad and they can beat the Bears.

1510
01:31:32,720 --> 01:31:34,200
Speaker 12: They go into the bye week with a three game

1511
01:31:34,200 --> 01:31:36,240
Speaker 12: winning streak and I a lot of people will be

1512
01:31:36,800 --> 01:31:37,840
Speaker 12: really happy around here.

1513
01:31:38,439 --> 01:31:41,880
Speaker 3: So do Thursday game turn you around on the Bengals season?

1514
01:31:42,800 --> 01:31:45,160
Speaker 12: No, not yet, No, no, because there's still there's still

1515
01:31:45,160 --> 01:31:49,960
Speaker 12: some there's still some problems there, consistency, especially, you know,

1516
01:31:50,000 --> 01:31:52,439
Speaker 12: I want to see the old line just continue to

1517
01:31:52,439 --> 01:31:55,720
Speaker 12: do what they did, whatever they've done to correct things, Uh,

1518
01:31:56,200 --> 01:31:58,719
Speaker 12: continue to go. They put a new player in there,

1519
01:31:58,840 --> 01:32:00,559
Speaker 12: and you know you mentioned about tax and they took

1520
01:32:01,479 --> 01:32:03,280
Speaker 12: Brett out of there, out of the lineup. And set

1521
01:32:03,360 --> 01:32:05,760
Speaker 12: him on the bench because this tackle, he couldn't tackle me.

1522
01:32:07,320 --> 01:32:09,680
Speaker 3: Well, you're a lot slower than you used to be,

1523
01:32:09,760 --> 01:32:10,639
Speaker 3: wild Man.

1524
01:32:10,720 --> 01:32:14,960
Speaker 12: But still he still can't tackle me. He's terrible at tackling, terrible.

1525
01:32:15,360 --> 01:32:18,200
Speaker 12: And I was I wasn't surprised that Taylor Bread was

1526
01:32:18,240 --> 01:32:18,919
Speaker 12: on the sidelines.

1527
01:32:21,000 --> 01:32:23,080
Speaker 2: It's hard to get your hands around the wild Man

1528
01:32:23,120 --> 01:32:25,519
Speaker 2: and his scooter. You got to give him that. That's right,

1529
01:32:25,840 --> 01:32:31,880
Speaker 2: that's right, all right. So that being said, you have

1530
01:32:32,680 --> 01:32:35,760
Speaker 2: these two games you talked about. The Bengals are at home,

1531
01:32:36,439 --> 01:32:40,920
Speaker 2: they're playing the Jets, They're playing the Bears, and if

1532
01:32:40,960 --> 01:32:43,639
Speaker 2: they won both, if they won both games, they're above

1533
01:32:43,680 --> 01:32:46,120
Speaker 2: five hundred. Now when a lot of people like me

1534
01:32:46,280 --> 01:32:48,400
Speaker 2: gave up on the season completely.

1535
01:32:48,160 --> 01:32:51,160
Speaker 12: Because yes, five and four and going into the bye week,

1536
01:32:51,200 --> 01:32:54,680
Speaker 12: and then the next game after that is the uh

1537
01:32:54,760 --> 01:32:56,960
Speaker 12: is that Pittsburgh And the game after that is back

1538
01:32:57,000 --> 01:32:59,760
Speaker 12: home against New England and who are who are very

1539
01:32:59,800 --> 01:33:02,799
Speaker 12: good team with a coach that knows how to do things.

1540
01:33:02,800 --> 01:33:05,200
Speaker 12: But let's not put the car before the horse. Let's

1541
01:33:05,200 --> 01:33:08,280
Speaker 12: win this game on Sunday. There's no doubt, there is

1542
01:33:08,320 --> 01:33:10,360
Speaker 12: no doubt in my mind, the Bengals will beat the chests,

1543
01:33:10,400 --> 01:33:12,920
Speaker 12: whether they cover, who knows. I don't bet the Bengals.

1544
01:33:12,960 --> 01:33:14,840
Speaker 12: I refuse to bet the Bengals because when I do,

1545
01:33:14,920 --> 01:33:17,160
Speaker 12: I get burned every time. But the Bengals will beat

1546
01:33:17,160 --> 01:33:18,160
Speaker 12: the Chats on Sunday.

1547
01:33:18,200 --> 01:33:23,080
Speaker 2: Do you think do you think that the coach of

1548
01:33:23,200 --> 01:33:26,120
Speaker 2: the Dolphins will still be with Miami when they face

1549
01:33:26,200 --> 01:33:27,639
Speaker 2: the Bengals later this season?

1550
01:33:28,400 --> 01:33:32,280
Speaker 12: Daniel, Yeah, that's the four hundred and fifty thousand dollars question.

1551
01:33:32,360 --> 01:33:35,000
Speaker 12: That guy looks like a homeless guy the way he dresses.

1552
01:33:35,360 --> 01:33:38,200
Speaker 12: People talk about me and me my T shirt and shorts.

1553
01:33:38,200 --> 01:33:40,160
Speaker 6: That guy, you don't have them go coaching.

1554
01:33:40,360 --> 01:33:41,439
Speaker 12: He looks like he's homeless.

1555
01:33:41,560 --> 01:33:43,680
Speaker 2: I mean, Belichick used to wear the hoodie and won

1556
01:33:43,760 --> 01:33:46,920
Speaker 2: Super Bowls, So you can't really base yourself on how

1557
01:33:46,960 --> 01:33:49,960
Speaker 2: the coach dresses. But and that's the other problem the

1558
01:33:49,960 --> 01:33:52,320
Speaker 2: Bengals have. Zach Taylor is still the head coach, so

1559
01:33:53,439 --> 01:33:53,760
Speaker 2: you know.

1560
01:33:54,160 --> 01:33:57,640
Speaker 12: Well, and the game said, Zach Taylor just needs you know,

1561
01:33:57,760 --> 01:33:59,920
Speaker 12: just don't try to get cute. Just continue to coach

1562
01:34:00,080 --> 01:34:02,439
Speaker 12: way he's been coaching. And don't try to get too cute,

1563
01:34:02,520 --> 01:34:04,680
Speaker 12: because I mean to start getting r too cute, get

1564
01:34:04,720 --> 01:34:07,320
Speaker 12: too cute, you end up losing, just you know, just

1565
01:34:07,400 --> 01:34:09,719
Speaker 12: go with what's getting you there, don't you know, don't deviate,

1566
01:34:09,880 --> 01:34:12,920
Speaker 12: don't change horses in midstream. You've heard that line before

1567
01:34:13,080 --> 01:34:14,800
Speaker 12: and that you know and that that applies to a

1568
01:34:14,840 --> 01:34:17,280
Speaker 12: lot of things in life. But you know, to stay

1569
01:34:17,320 --> 01:34:19,000
Speaker 12: with what you got, man, you know, stay with what

1570
01:34:19,040 --> 01:34:19,360
Speaker 12: you got.

1571
01:34:19,400 --> 01:34:22,120
Speaker 2: What you got there is Showy O Tani, the new

1572
01:34:22,640 --> 01:34:25,200
Speaker 2: Reggie Jackson, the new mister October wild Man.

1573
01:34:25,760 --> 01:34:28,400
Speaker 12: Oh well, Shoe Atani is you know, is in a

1574
01:34:28,479 --> 01:34:32,040
Speaker 12: world of his own. But I'm really heat right now.

1575
01:34:32,520 --> 01:34:34,680
Speaker 12: I don't know if he's the best player in baseball

1576
01:34:34,960 --> 01:34:38,560
Speaker 12: because he doesn't play a position. Okay, he's a designated

1577
01:34:38,600 --> 01:34:41,160
Speaker 12: hitter and he's a picture now and man, he doesn't

1578
01:34:41,200 --> 01:34:44,760
Speaker 12: play a position. And I've heard people say, well, he's

1579
01:34:44,800 --> 01:34:47,800
Speaker 12: the greatest player ever when he when he retires with

1580
01:34:47,840 --> 01:34:51,280
Speaker 12: a lifetime battan average above three forty two, the you

1581
01:34:51,320 --> 01:34:54,040
Speaker 12: come call me, okay, because that's Babe Bruce lifetime battan

1582
01:34:54,080 --> 01:34:57,840
Speaker 12: average three forty two, seven hundred and fourteen home runs,

1583
01:34:58,000 --> 01:35:00,920
Speaker 12: fifteen World Series home runs. I mean, guys, save the game.

1584
01:35:01,120 --> 01:35:01,880
Speaker 5: There.

1585
01:35:02,040 --> 01:35:05,960
Speaker 12: You know, there's an old black Sparky Anderson. And to

1586
01:35:06,000 --> 01:35:08,200
Speaker 12: ask me about Thurmont Months and a Johnny Bench. He said,

1587
01:35:08,360 --> 01:35:11,200
Speaker 12: don't embarrassed, sermon monson trying to compare him to Johnny Bench.

1588
01:35:11,400 --> 01:35:16,720
Speaker 12: And this is the same thing, to embarrass uh Shoani

1589
01:35:16,800 --> 01:35:19,280
Speaker 12: trying to compare him to Babe Us is the police,

1590
01:35:19,320 --> 01:35:20,800
Speaker 12: the police wild man.

1591
01:35:20,840 --> 01:35:24,040
Speaker 2: Here's the thing that I've always thought, and it drives

1592
01:35:24,080 --> 01:35:29,320
Speaker 2: me nuts every every time somebody puts these superlatives on players,

1593
01:35:29,400 --> 01:35:32,360
Speaker 2: any player from any era, they're the best ever there.

1594
01:35:32,400 --> 01:35:37,320
Speaker 2: The goat is that in every era the game is

1595
01:35:37,320 --> 01:35:41,679
Speaker 2: is different. It's it's it's similar, but it's different. There

1596
01:35:41,680 --> 01:35:45,799
Speaker 2: are different challenges, there are different factors that go into

1597
01:35:45,800 --> 01:35:48,959
Speaker 2: determining who's who's really good.

1598
01:35:48,920 --> 01:35:50,360
Speaker 3: At any one given time.

1599
01:35:50,720 --> 01:35:54,320
Speaker 2: I mean, did you ever imagine that the major league average,

1600
01:35:55,439 --> 01:35:59,719
Speaker 2: major league batting average would be accepted at like two

1601
01:35:59,760 --> 01:36:01,000
Speaker 2: four and.

1602
01:36:00,880 --> 01:36:04,800
Speaker 12: That's I think it's more like two sixty. But still

1603
01:36:04,800 --> 01:36:06,200
Speaker 12: that's pathetic, I know, I know.

1604
01:36:06,880 --> 01:36:10,479
Speaker 2: So you know, it's like the comparisons with Lebron James

1605
01:36:10,479 --> 01:36:14,760
Speaker 2: and Michael Jordan. Michael Jordan is still the goat. He's

1606
01:36:14,800 --> 01:36:18,640
Speaker 2: still the greatest of all time. You and I were

1607
01:36:18,680 --> 01:36:23,360
Speaker 2: talking about this, uh before tonight, and here's the thing.

1608
01:36:23,840 --> 01:36:27,800
Speaker 2: This is a it's nothing to diminish Lebron James. You know,

1609
01:36:27,960 --> 01:36:30,800
Speaker 2: he'd be he'd be a good sixth or seventh man

1610
01:36:30,880 --> 01:36:34,120
Speaker 2: on my my team of all time NBA Greats. But

1611
01:36:34,200 --> 01:36:36,840
Speaker 2: he's not going to surpass Michael. He's not going to

1612
01:36:36,880 --> 01:36:41,719
Speaker 2: surpass Mike, Magic Johnson or Larry Bird. You know, there's

1613
01:36:41,800 --> 01:36:49,360
Speaker 2: Kobe Bryant, There's Shack I mean, Will Chamberlain, Kareem Abdul Jabbar,

1614
01:36:49,520 --> 01:36:54,200
Speaker 2: I mean, come on, yeah, Oscar Robertson. Lebron James is

1615
01:36:54,479 --> 01:36:59,400
Speaker 2: Jarry West. Lebron James is this generation's goat, but he's

1616
01:36:59,439 --> 01:37:02,920
Speaker 2: not the He's not the greatest of all time. And

1617
01:37:02,960 --> 01:37:07,760
Speaker 2: the reason, the reason that Michael Jordan will always be

1618
01:37:07,760 --> 01:37:12,080
Speaker 2: better than Lebron James in my mind, is because he

1619
01:37:12,200 --> 01:37:18,200
Speaker 2: truly made the players around him better better every single

1620
01:37:18,520 --> 01:37:21,879
Speaker 2: from Scottie Pippen to Dennis Rodman.

1621
01:37:22,240 --> 01:37:26,280
Speaker 3: To think, think yeah, think about this, Think about the centers.

1622
01:37:27,000 --> 01:37:30,920
Speaker 2: Think about the centers that Michael Jordan won NBA Championships.

1623
01:37:30,920 --> 01:37:31,080
Speaker 5: Win.

1624
01:37:31,760 --> 01:37:36,040
Speaker 2: Bill Cartwright was playing on one knee and it was Arthritick.

1625
01:37:36,400 --> 01:37:40,160
Speaker 2: Will Purdue couldn't walk and Chew Gum as a sophomore

1626
01:37:40,160 --> 01:37:45,880
Speaker 2: at Vanderbilt became uh a seven time NBA championship winner

1627
01:37:46,160 --> 01:37:48,760
Speaker 2: because he or or five times. He won with the

1628
01:37:48,800 --> 01:37:52,960
Speaker 2: Spurs too. But he had a great cast there. But

1629
01:37:52,960 --> 01:37:56,519
Speaker 2: but Michael Jordan made every player around him better, And

1630
01:37:56,600 --> 01:38:00,479
Speaker 2: I can't say that about Lebron James on select teams

1631
01:38:00,520 --> 01:38:01,519
Speaker 2: that Lebron was on.

1632
01:38:02,120 --> 01:38:02,439
Speaker 3: That's it.

1633
01:38:02,520 --> 01:38:04,880
Speaker 12: Who's your all time who's your all time starting five

1634
01:38:04,920 --> 01:38:07,040
Speaker 12: in the NBA? Do you have an all time starting five?

1635
01:38:07,840 --> 01:38:15,120
Speaker 2: Two MJ's Michael Jordan, Magic Johnson, I've got maybe it's

1636
01:38:15,160 --> 01:38:19,760
Speaker 2: a toss up between Wilt and Kareem at center. It

1637
01:38:19,960 --> 01:38:23,320
Speaker 2: just is I got Shaq coming off the bench at

1638
01:38:23,400 --> 01:38:29,960
Speaker 2: the at the center position. And I'm I might have

1639
01:38:30,080 --> 01:38:32,600
Speaker 2: Lebron in the lineup to start, but he might be

1640
01:38:32,640 --> 01:38:37,240
Speaker 2: coming off the bench. Kobe Bryant definitely, uh and uh

1641
01:38:37,240 --> 01:38:39,920
Speaker 2: Oscar Robertson you've got to put maybe you put Oscar

1642
01:38:40,000 --> 01:38:40,920
Speaker 2: in as the coach.

1643
01:38:42,000 --> 01:38:43,920
Speaker 12: Well, you got your two bars and you got your center.

1644
01:38:43,920 --> 01:38:46,879
Speaker 12: Who's your two forwards?

1645
01:38:46,880 --> 01:38:49,519
Speaker 3: It's an excellent question. I'm talking about Larry Bird.

1646
01:38:50,640 --> 01:38:54,280
Speaker 12: I think Burt's gotta be in there, no doubt.

1647
01:38:54,280 --> 01:38:56,559
Speaker 2: You know, and and maybe I don't know, maybe Carl

1648
01:38:56,600 --> 01:39:00,680
Speaker 2: Malone and and not not Jimmy Kimmel dressed up as

1649
01:39:00,720 --> 01:39:04,880
Speaker 2: Curl Malone, the actual, the actual Caarl Malone. All right,

1650
01:39:05,000 --> 01:39:06,840
Speaker 2: real quick, I want to get in my plugs for

1651
01:39:06,960 --> 01:39:11,559
Speaker 2: my teams. Wild Man, my banner, my Bannerbilt Commodore six

1652
01:39:11,600 --> 01:39:15,599
Speaker 2: and one, Diego Pavia is a dark horse Heisman candidate

1653
01:39:15,680 --> 01:39:19,080
Speaker 2: and should be the UC bear catser six and one

1654
01:39:19,560 --> 01:39:25,040
Speaker 2: in the Scott Centerfield era, and they're contending for a

1655
01:39:25,160 --> 01:39:28,920
Speaker 2: chance now to be mentioned with all the other teams

1656
01:39:28,960 --> 01:39:31,800
Speaker 2: in the Power conferences who have a shot at the playoffs.

1657
01:39:31,800 --> 01:39:32,479
Speaker 3: What do you think?

1658
01:39:33,160 --> 01:39:35,200
Speaker 12: Well, do you see is now ranked twenty one in

1659
01:39:35,240 --> 01:39:36,040
Speaker 12: the AP pole.

1660
01:39:36,240 --> 01:39:38,040
Speaker 6: Like you said, there's six and one.

1661
01:39:38,080 --> 01:39:41,160
Speaker 12: They won six straight games. Had they played Nebraska here

1662
01:39:41,400 --> 01:39:43,439
Speaker 12: they'd be seven andero. But that was that was a

1663
01:39:43,439 --> 01:39:46,200
Speaker 12: money grab. And they are Bowl eligible and here come

1664
01:39:46,240 --> 01:39:50,720
Speaker 12: the Baylor Bears this Saturday homecoming. The Bearcats will be

1665
01:39:50,760 --> 01:39:53,439
Speaker 12: waiting for him and they should be a seven in

1666
01:39:53,520 --> 01:39:56,320
Speaker 12: one right now. Everything is looking great for the Scott

1667
01:39:56,400 --> 01:39:59,120
Speaker 12: Saderfield those situation because a lot of people were down

1668
01:39:59,160 --> 01:40:00,840
Speaker 12: on him, and I I met, I was one of

1669
01:40:00,840 --> 01:40:02,920
Speaker 12: the guys kind of down on him. But he's got

1670
01:40:02,960 --> 01:40:05,280
Speaker 12: he's got the players. Now, he's got some really good

1671
01:40:05,280 --> 01:40:08,240
Speaker 12: players in that team, and Brandon Staresby has really been

1672
01:40:08,240 --> 01:40:11,320
Speaker 12: playing lights out at quarterback and says where it starts,

1673
01:40:11,720 --> 01:40:14,559
Speaker 12: no doubt, Well, in that game, how about in that

1674
01:40:14,640 --> 01:40:17,920
Speaker 12: game that one hundred yard intercepts a school record?

1675
01:40:18,240 --> 01:40:19,479
Speaker 6: Have you on that?

1676
01:40:19,880 --> 01:40:23,479
Speaker 3: Oh yeah, oh yeah, I was watching. I saw it.

1677
01:40:24,720 --> 01:40:27,200
Speaker 2: I saw it, And you need to watch my Vanderbilt

1678
01:40:27,200 --> 01:40:30,639
Speaker 2: commodoors because they're gonna just make you see diego pobbya

1679
01:40:30,680 --> 01:40:32,840
Speaker 2: play wild Man in your eyes. You're gonna bug right

1680
01:40:32,840 --> 01:40:34,800
Speaker 2: out of your head because the guy's phenomenal.

1681
01:40:35,240 --> 01:40:35,720
Speaker 3: He's a game.

1682
01:40:35,800 --> 01:40:39,240
Speaker 12: He gave your friend and mine, Brian Kelly, a case

1683
01:40:39,280 --> 01:40:41,080
Speaker 12: of the goo because they just beating that last too.

1684
01:40:42,280 --> 01:40:44,519
Speaker 3: I know I loved every second of it. Watched it

1685
01:40:44,560 --> 01:40:45,719
Speaker 3: at the bar, of course.

1686
01:40:45,720 --> 01:40:48,600
Speaker 12: Ohio State Paul ver rise wiscon saying Luke Fickle a

1687
01:40:48,680 --> 01:40:49,559
Speaker 12: case of the goo.

1688
01:40:49,960 --> 01:40:51,840
Speaker 6: And Luke Fickle, I.

1689
01:40:51,800 --> 01:40:54,960
Speaker 12: Know he's on that, he's on the h he's on

1690
01:40:55,080 --> 01:40:56,720
Speaker 12: and I he really is up there. I know the

1691
01:40:56,760 --> 01:41:00,680
Speaker 12: fans have really soured on him, and you know whatever, Well,

1692
01:41:00,680 --> 01:41:02,760
Speaker 12: he made his bet and took his money and ran.

1693
01:41:03,360 --> 01:41:06,280
Speaker 12: I mean, Florida fired their coach. Colorado State fired their coach.

1694
01:41:06,400 --> 01:41:06,960
Speaker 6: A couple of days.

1695
01:41:07,040 --> 01:41:09,920
Speaker 12: Yesterday, I mean I Dart for getting rid of coaches

1696
01:41:10,000 --> 01:41:10,599
Speaker 12: left and right.

1697
01:41:11,479 --> 01:41:12,120
Speaker 3: Wild Man.

1698
01:41:12,360 --> 01:41:14,680
Speaker 2: In the words of Ario Speedwagon, it's time for me

1699
01:41:14,720 --> 01:41:17,320
Speaker 2: to fly. Thanks for being a part of the show tonight.

1700
01:41:17,560 --> 01:41:20,920
Speaker 12: I loved Rio Speedwag and interviewed Kevin cronin many years ago,

1701
01:41:21,120 --> 01:41:22,479
Speaker 12: Big friendly man, he was

1702
01:41:23,360 --> 01:41:27,400
Speaker 2: All right the wild on the nightcap on seven hundred

1703
01:41:27,439 --> 01:41:29,599
Speaker 2: WLW back to wrap up in a moment