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Speaker 1: Welcome in Everybody Monday edition of the Clay Travis and

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Speaker 1: Buck Sexton Show. I love our Monday shows because there's

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Speaker 1: always so much to get to. We usually have about

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Speaker 1: six hours of show in our heads before we can

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Speaker 1: even get to the microphone. We missed you all. Hope

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Speaker 1: you had great weekends, and we're going to dive into

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Speaker 1: it all right now, let's just see we've got This

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Speaker 1: is just a headline that caught my attention. Trump says

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Speaker 1: he's okay with jail, time, house, arrested, etc. After hush

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Speaker 1: money conviction. So here we have Donald Trump staring down

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Speaker 1: the deep state machinery and saying bring it after the conviction.

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Speaker 1: I will say more people I know on the right

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Speaker 1: are more deeply invested in a Trump victory in this

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Speaker 1: election than at any time I have seen before. I

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Speaker 1: actually see more ferocity on the right in the best

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Speaker 1: way in support of Trump now than I think I've

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Speaker 1: ever seen I've ever seen before, and also more unanimity

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Speaker 1: on the riot. You're seeing people coming out who are saying,

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Speaker 1: you know what, I don't like. We actually had some

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Speaker 1: of these callers play right, I don't really like his

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Speaker 1: personal style, or I didn't like some of the tweets,

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Speaker 1: but I like the policies and I can't allow this

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Speaker 1: law fair to be successful. So we're gonna break down

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Speaker 1: all of that. Another headline here, Don, I'm sorry, Eric Trump,

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Speaker 1: not Don Junior, it's the other son. Eric Trump says

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Speaker 1: that the Trump campaign has raised this was as of

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Speaker 1: I think, yes, so it's more than this now, but

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Speaker 1: we'll say over two hundred million dollars.

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Speaker 2: Now you buy that because I saw they've officially put

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Speaker 2: out fifty two million on like the first twenty.

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Speaker 1: I think they're including some of the super Pac money

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Speaker 1: and some of the other I think it's the total

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Speaker 1: cash hall of all things trump tastic, if you will,

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Speaker 1: that they're looking at with that number. But that is

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Speaker 1: that the headline. I mean, they're saying two hundred million

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Speaker 1: dollars going to the Trump you know, Trump cash hall.

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Speaker 1: And I would just say this, Clay, you know, it's funny.

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Speaker 1: I mean, money for his election is money for his election.

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Speaker 1: We have all these rules I know about super packs

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Speaker 1: and packs and everything else, But the point is people

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Speaker 1: are opening up their checkbooks. You saw Bill Ackman, the

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Speaker 1: kind of centristye left of center in the past, now

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Speaker 1: right of center I would say billionaire, he's pro Trump.

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Speaker 1: Sheldon Adelson's widow, Miriam Adelson, has come out and said

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Speaker 1: that she is going to put huge money behind Trump.

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Speaker 1: So there's been a rally. I was gonna say rally

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Speaker 1: to the flag. It's really rally to the Trump effect

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Speaker 1: that is going on after this first conviction. And also

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Speaker 1: he joined TikTok, which we should talk about. Oh, you

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Speaker 1: mean the social media platform that the Buckster has been

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Speaker 1: telling you all along we should co opt instead of

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Speaker 1: trying to shut down the trump Ster is on tik

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Speaker 1: took Clay, how many followers on TikTok as of now?

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Speaker 1: You gave me the number before one day?

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Speaker 2: Literally? No, yeah, three point seven million followers. Trump has

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Speaker 2: added on TikTok in basically twenty four hours in change.

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Speaker 2: And I thought this was interesting because I think it

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Speaker 2: will surprise a lot of people out there the overall

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Speaker 2: tone of TikTok two to one in favor of Trump

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Speaker 2: in terms of the content that is out there. Again,

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Speaker 2: I think that would surprise a lot of you because

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Speaker 2: historically young people have been very anti Trump. I think

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Speaker 2: there is a lot more fun and frivolity and entertainment

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Speaker 2: associated with the Trump campaign, and I believe that a

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Speaker 2: lot of that is resonating with younger voters. So, you know,

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Speaker 2: we talked a lot about young people and you know,

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Speaker 2: old man shaking his fist at the crowds concept. But

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Speaker 2: the more time I spend around young people, young men

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Speaker 2: in particular, the more time I start to think some

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Speaker 2: of them are starting to see through the lies that

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Speaker 2: they are being told, including the lies that are being

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Speaker 2: peddled in front of Congress right now by Anthony Fauci.

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Speaker 1: So that is impressive.

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Speaker 2: Biden himself is not on TikTok Buck, but his campaign is,

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Speaker 2: and right now Trump is about thirty to one bigger

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Speaker 2: audience than the Biden Harris campaign. And that makes sense,

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Speaker 2: right Biden. They've tried to post memes and put things

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Speaker 2: up from him on TikTok, but I mean, the guy

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Speaker 2: can barely read off a prompter and it just doesn't

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Speaker 2: resonate in the same way that Trump would. For instance,

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Speaker 2: if you were watching UFC three to zero two, I mean,

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Speaker 2: the guy walked in like he was Mike Tyson in

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Speaker 2: the eighties. That kind of ruckus response from that combat

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Speaker 2: sport crowd.

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Speaker 1: Let's hear it from everybody actually because you would think

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Speaker 1: first felony conviction of a president, even the people who

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Speaker 1: are trying to celebrate on TV, they all sounds pathetic

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Speaker 1: because and did you see Megan Kelly, our friend Meghan

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Speaker 1: slapping around verbally on the conviction. I thought she did

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Speaker 1: a very strong job. Just you can't concede to the nonsense.

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Speaker 1: You can't concede to the oh, it's a business records

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Speaker 1: and it's a felony because of the other It's like

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Speaker 1: everyone knows this is garbage.

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Speaker 2: It just keeps showing how flabby the arguments are by

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Speaker 2: the left because they protect themselves from ever having to

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Speaker 2: enter into an arena where real competition exists, and as

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Speaker 2: a result, it just at Oftentimes they get exposed, much

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Speaker 2: like you saw with Gavin Newsom in that debate against

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Speaker 2: against Ron DeSantis, when DeSantis just verbally filiated him. Megan

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Speaker 2: Kelly did the same to Dan Abrams. Dan Abrams smart guy,

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Speaker 2: but ultimately, if you're trying to defend the indefensible, even

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Speaker 2: if you're the greatest debater of all time, you get

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Speaker 2: sliced and diced. And also, I think Megan is super

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Speaker 2: smart as media figures go. She's not someone that you

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Speaker 2: want to get into a you want to get into

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Speaker 2: a verbal bout with unless you've come prepared.

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Speaker 1: So we mentioned this though there's just a felony conviction

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Speaker 1: of Donald Trump. You talked about UFC. UFC three toh

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Speaker 1: two was in New Jersey over the weekend. So this is,

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Speaker 1: you know, ten miles away, which, unfortunately, because you're too

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Speaker 1: buck you'll know this better than anybody. It's not Atlantic City,

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Speaker 1: it's not the Jersey Shore. It's Newark, which is not

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Speaker 1: exactly the hotbed of Trump support you wouldn't anticipate. And

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Speaker 1: it's ten miles but because it's New York, it could

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Speaker 1: be an hour drive if you leave during rush hour

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Speaker 1: and get stuck in the Lincoln Tunnel. But it's close

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Speaker 1: as the point, and Trump walked into this UFC Ultimate

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Speaker 1: Fighting Championship, And does this sound like people who are

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Speaker 1: upset or frightened by the conviction of Donald Trump? Play five.

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Speaker 3: Also tonight.

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Speaker 4: You see o'kaya white, Ronald Trump, he is in the

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Speaker 4: building and the former presidents any standing ovation from the

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Speaker 4: assembled masses here at USC's three oh two.

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Speaker 1: Everyone very fired off. I mean it's with the visual,

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Speaker 1: it's more impressive, I know, we're listening on the radio.

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Speaker 4: Blocks that former President Trump would be in the building

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Speaker 4: for UFC.

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Speaker 5: Three h two.

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Speaker 4: He is a rabbit mixed martial arts fan. I trying

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Speaker 4: to feel like he's betting on these fights when he

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Speaker 4: taught that for years.

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Speaker 2: So here's somebody sent me a message on this buck

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Speaker 2: and I agree one hundred percent. I don't know if

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Speaker 2: the Trump campaign is doing it. I hope that they are.

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Speaker 2: They should be signing people up to register to vote

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Speaker 2: in the parking lot outside of these UFC events. Because

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Speaker 2: there was a big article. You heard that response, it's

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Speaker 2: ninety ten. Trump just absolutely praised Aaron Rodgers. Shaking his

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Speaker 2: hand went super There was a dispute over whether Aaron Rodgers,

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Speaker 2: who remembered was nearly RFK Junior's VP. Aaron Rodgers posted

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Speaker 2: on Instagram that shaking Trump's hand was priceless. There is,

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Speaker 2: I think in the sports industry and overwhelming now public

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Speaker 2: support of Trump that you did not see in twenty twenty.

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Speaker 1: And some of you can say that's not significant. I

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Speaker 1: do think it's significant.

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Speaker 2: To my knowledge, we've not had a prominent athlete come

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Speaker 2: out and say he's supporting Trump. We've had some say

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Speaker 2: they're not endorsing like the Rock for instance. And then

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Speaker 2: we've had a lot of guys getting their pictures taken

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Speaker 2: being very excited in the world of boxing, whether it's

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Speaker 2: guy like Mike Tyson, or in the world of you know,

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Speaker 2: whether it's Joe Burrow, whether it's Aaron Rodgers. A lot

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Speaker 2: of athletes who seem to be very excited to be

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Speaker 2: in the proximity of Trump. And I do think this

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Speaker 2: matters because in twenty twenty you would have really thought

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Speaker 2: Trump was hitler the way that athletes came after We're

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Speaker 2: just not seeing it the same way. Maybe that's going

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Speaker 2: to change in the fall, but it is not occurring

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Speaker 2: on the same level that it did in twenty twenty.

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Speaker 1: One of the big challenges that I think the Biden

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Speaker 1: camp is going to continue to have, but really the

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Speaker 1: entire Democratic Party with all this is the Trump hysteria

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Speaker 1: of twenty Anti Trump hysteria of twenty sixteen to twenty

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Speaker 1: twenty was always juxtaposed against. We could just go back

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Speaker 1: to normal. We could have this.

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Speaker 6: Competent, calm leadership of Joe Biden, strong middle class base

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Speaker 6: to com I mean all this stuff now that the

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Speaker 6: country has actually look there's some people.

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Speaker 1: Mitt Romney said this, it was actually somewhat true. I mean,

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Speaker 1: they're forty percent of people you're never going to get

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Speaker 1: to convince. You know, you're never going to convince them

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Speaker 1: of anything. They live in a delusion. It doesn't matter.

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Speaker 1: But with four years gone, we've seen not only is

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Speaker 1: Joe Biden ineffectual, not only is Joe Biden too old

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Speaker 1: and feeble and feeble minded for the job. Clear this

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Speaker 1: White House has put out official statement, official White House

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Speaker 1: statements in support of transgender surgery for minors as gender

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Speaker 1: affirming care. I mean, this White House is in many

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Speaker 1: ways a far left wing white House that has done

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Speaker 1: more to divide the American people, just even with their

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Speaker 1: vaccine policies, which I have not forgotten and will neither

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Speaker 1: forgive nor forget. I know Fauci's testifying today on the Hill.

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Speaker 1: Nobody despises Fauci more than me. We'll get into that

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Speaker 1: a little bit. But you know, the guy spent eighty

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Speaker 1: years or whatever it is being the slipperiest fish in

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Speaker 1: the pond.

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Speaker 7: You know, this is what he does. Oh, that's complicated. Oh,

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Speaker 7: I have to look at the data to my recollection

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Speaker 7: all he's done is avoid accountability and congressional hearings his

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Speaker 7: entire life. So anyone who thinks that they're going to

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Speaker 7: really nail him, I got news for you. But he's

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Speaker 7: the worst, and any intelligent person knows that. But back

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Speaker 7: to Trump Biden Clay. Now we see the reality right

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Speaker 7: before it was. You know, I mean, you haven't you

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Speaker 7: haven't been a guy on the dating scene in a

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Speaker 7: long time. You got to your fifteen year coming up,

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Speaker 7: it's twenty in all, twenty year. I'm sorry, I keep

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Speaker 7: thinking of that twenty year anniversary coming.

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Speaker 2: I have not been on a date since two thousand

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Speaker 2: and two. Wow, I was in college man two thousand.

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Speaker 2: I believe that's correct. I believe the last date I

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Speaker 2: went on was in two thousand and two.

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Speaker 1: But but you know, it's if you're on a date

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Speaker 1: with somebody that doesn't go great, you know, or you've

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Speaker 1: gone on a few dates, you know, you can convince yourself, oh,

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Speaker 1: this other person, if only I was out with her,

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Speaker 1: you know, she's She's what I'm looking for. When you

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Speaker 1: don't really know her, you know, you could do this.

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Speaker 1: It's a grass is always greener thing. But then if

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Speaker 1: you go out with her and you realize she's horrible.

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Speaker 1: All she does is talk about her exes, and all

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Speaker 1: she does is talk about herself, and you know, you realize,

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Speaker 1: wait a second, why was I You know, I was

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Speaker 1: creating this illusion of perfection and judging my reality against it.

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Speaker 1: I think the American people have more than fifty percent

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Speaker 1: of us, not all of us, but I think a

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Speaker 1: majority of the American people have seen that Biden was

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Speaker 1: not greener grass. If anything, it's a bunch of tumbleweeds

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Speaker 1: and dirt blown around because there's not much left. I

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Speaker 1: think that's a very good analogy, and I think that's

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Speaker 1: the biggest challenge that they have. Remember, they're not even

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Speaker 1: selling what Biden has done now to the large extent,

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Speaker 1: they're effectively trying to run the twenty twenty playbook again,

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Speaker 1: which is Trump is hitler, Trump is evil. And the

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Speaker 1: problem is when you're actually dealing with what I believe

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Speaker 1: is the worst president in any of our lives, going

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Speaker 1: back and telling people that their lives were awful from

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Speaker 1: twenty sixteen to twenty twenty is a hard sell. Now.

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Speaker 2: Trump did not handle COVID the way that I wish

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Speaker 2: he had handled COVID, but he was a billion percent

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Speaker 2: better than Joe Biden was, and so.

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Speaker 1: Can I just all are not blaming Trump for COVID.

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Speaker 2: If you go back to February twenty twenty, the country

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Speaker 2: has never been in better shape than it was right

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Speaker 2: before COVID hit.

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Speaker 1: I want to tell everybody the President Trump invited me

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Speaker 1: down to the Oval Office just to talk to him

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Speaker 1: for like an hour in May of twenty twenty. And yes,

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Speaker 1: there were all these this is May of twenty twenty. Yes,

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Speaker 1: there were all these policies, and everyone was still very

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Speaker 1: freaked out and DC was basically shut down. But Clay,

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Speaker 1: do you think Trump? Do you think Trump wore a

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Speaker 1: mask when I sat down? Of course not. Do you

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Speaker 1: think do you think that any of his staffers were

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Speaker 1: walking around with masks on? Of course not. The White

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Speaker 1: House in May of twenty twenty was effectively a mask

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Speaker 1: free zone because they knew, they knew that this wasn't

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Speaker 1: the thing that Fauci was pretending. But the bureaucracy had

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Speaker 1: taken hold, and the politics in an election year were

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Speaker 1: what they were. But I'm just saying they weren't lunatics

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Speaker 1: the way that the the Democrats were about all this stuff.

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Speaker 1: And there's still Clay. They're still up on Capitol Hill

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Speaker 1: well defending Fauci. What I kind of watch defending Fauci

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Speaker 1: at this point, Democrats, it infuriates me, and we should

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Speaker 1: talk about this. Some nobody is perfect. We get something wrong,

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Speaker 1: we try to come tell you immediately on this program. Hey,

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Speaker 1: we screwed this up. We shouldn't know we got that wrong.

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Speaker 2: The fact that Democrats even still are defending Fauci despite

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Speaker 2: what I believe is clear evidence that he's perjured himself

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Speaker 2: on many occasions, and more importantly, the fact that he

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Speaker 2: got everything wrong. We should have never shut down schools,

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Speaker 2: We should have never shut down any business. We should

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Speaker 2: have never forced kids, God forbid to be in masks.

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Speaker 2: We need to talk about all this. Why would you

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Speaker 2: still defend Fauci other than rabid partisanship and a refusal

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Speaker 2: to acknowledge that you were wrong on everything And the

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Speaker 2: fact that no one has been held accountable for everything

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Speaker 2: that we got wrong from COVID, none of our elected officials,

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Speaker 2: none of nobody's been prosecuted anything, nobody's even lost their

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Speaker 2: jobs by in Marche, I think Joe Lombardo it was

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Speaker 2: the only guy to win a competitive race statewide in

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Speaker 2: twenty twenty two. Every incumbent keeps winning, even the awful

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Speaker 2: people like Gretchen Whitmer. I mean, we treated Andrew Cuomo

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Speaker 2: more severely buck for rubbing somebody's stomach than we did

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Speaker 2: for all of the failures of COVID. I mean, just

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Speaker 2: think about that. It's wild to me.

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Speaker 1: I want to talk to you about Bear Creek Arsenal.

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Speaker 1: Here for a second. I'm going to pick up my

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Speaker 1: third Bear Creek Arsenal firearm this week. My friends, I'm

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Speaker 1: getting another rifle from them because their stuff is just

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Speaker 1: the best. They make such high quality farms and amazing prices.

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Speaker 1: I went to see the factory myself, so I've seen

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Speaker 1: every step of their manufacturing process. These are gun guys

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Speaker 1: the community. They are of the community, and they want

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Speaker 1: to give you the best possible firearms at the best

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Speaker 1: possible price. You can actually see a video of me

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Speaker 1: at their facility, Clay, I mean, I got Maybe we

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Speaker 1: threw a suppresser on one of the rifles. Maybe we

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Speaker 1: went ful auto for a while. I don't know. You

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Speaker 1: because I really believe they're going to be one of

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Speaker 3: Need a break from followsicks a little comedy to counter

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Speaker 3: the craziness oton, So do we the Sunday Hang Well

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Speaker 3: Weekend podcast to lighten things up a bit. Find it

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Speaker 3: in the Clay and Buck podcast feed on the iHeartRadio

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00:17:15,240 --> 00:17:17,640
Speaker 3: app or wherever you get your podcasts.

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Speaker 2: Welcome back in Clay Travis buck Sexton Show. We had

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Speaker 2: some fireworks. I want to play some of those fireworks

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Speaker 2: for you. Let's start with I believe we have Marjorie

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Speaker 2: Taylor Green refusing to call doctor Fauci a doctor.

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Speaker 1: This is cut thirty. Listen.

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Speaker 5: Do you think that's appropriate to the American people deserve

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Speaker 5: to be abused like that, mister Fauci, because you're not doctor,

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Speaker 5: You're mister Fauci. In my few minutes, No, I don't

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Speaker 5: need your answer. I want to talk about this right here, projection.

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Speaker 5: I reclaim my time. I reclaim my.

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Speaker 8: Time, mister Raskin and mister Truman or just in terms

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Speaker 8: of the rules of decorum, are we allowed to deny

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Speaker 8: that a doctor is a doctor just because we don't

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Speaker 8: want him to be a doctor.

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Speaker 5: Yes, because in my time, that man does not deserve

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Speaker 5: to have a license. As a matter of fact, it

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Speaker 5: should be revoked and he belongs into races suspend.

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Speaker 9: The general lady should recognize the doctor as a doctor.

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Speaker 8: So that's completely unacceptable to be able to deny doctor Fauci,

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Speaker 8: who's here a respected member of the medical community, his title,

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Speaker 8: and that's actually a personal attack on his carriage.

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Speaker 5: I have instructed her he's not respected.

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Speaker 10: And I've instructed her to address him as a doctor.

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Speaker 5: I'm not addressed. Let's talk about let's talk about this.

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Speaker 5: I reclaim time.

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Speaker 1: Doesn't like it. I don't have a problem with it.

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Speaker 2: Let's see if you like this one mark it got

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Speaker 2: really feisty.

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Speaker 1: I look, I generally think MTG is feisty and fiery,

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Speaker 1: and I dig it. But let's hear how she keeps

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Speaker 1: going here play it.

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Speaker 5: Children in school, we're put in plastic bubbles because of

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Speaker 5: your science, your repulsive, evil science. And let's go back

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Speaker 5: to your very own email. You said earlier you don't

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Speaker 5: use email, Oh you do right here. This is your

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Speaker 5: own email where you said the typical mask you buy

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Speaker 5: in the drug store is not really effective in keeping

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Speaker 5: out virus. I do not recommend that you wear a mask.

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Speaker 5: This is your email, this is your own words. But

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Speaker 5: yet children, children all over America were forced to wear masks,

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Speaker 5: healthy children forced to wear masks, muzzled in their schools,

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Speaker 5: and then they were forced to learn from home because

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Speaker 5: of your so called science and your medical suggestions. While

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Speaker 5: you and all your cronies get paid from big pharma.

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Speaker 5: You know that what this committee should be doing. We

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Speaker 5: should be recommending you to be prosecuted. We should be

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Speaker 5: writing a criminal referral because you should be prosecuted for

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Speaker 5: crimes against humanity. You belong in prison, doctor foul.

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Speaker 1: I mean I agree with I agree with her sentiments entirely.

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Speaker 1: I think I dislike Fauci more than she does. But

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Speaker 1: this is not Look who's No one's gonna prosecute him.

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Speaker 1: So you can sit around and talk about this all

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Speaker 1: day long. They're not gonna do it. It's not gonna happen.

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Speaker 1: Republicans don't have the stones to use the clay word.

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Speaker 1: They simply do not. And that's an indictment of Republicans perhaps,

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Speaker 1: But anyone wants to does anyone to take the other

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Speaker 1: side of this bet with me? Is anything going to

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Speaker 1: prosecute Fauci. No, They're not gonna prosecute Fauci. So then

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Speaker 1: what do we do sitting around talking about it? Clay?

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Speaker 1: What I would want to know is, and may you know,

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Speaker 1: I'll offer this up. I think are they still going

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Speaker 1: on Capitol Hill? I think they found Oh they just finished. Yeah,

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Speaker 1: ask Fauci doctor Fauci, you were were you or were

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Speaker 1: you or not? Were you or were you not the

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Speaker 1: biggest voice in the government in twenty twenty and even

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Speaker 1: bigger in twenty twenty one with Biden, Yes or no?

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Speaker 11: You know?

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Speaker 7: And he would say, well, you know, there were many

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Speaker 7: voices in my staff and the bureaucracy whatever.

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Speaker 1: Let's say, okay, yeah, but did you have influence? Yeah?

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Speaker 1: Youhood influence. Why is it that when kids were playing

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Speaker 1: musical instruments with masks on with holes cut out, why

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Speaker 1: didn't you say that that was not necessary? When kids

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Speaker 1: in New York City were being made to sit on

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Speaker 1: the ground outside in forty degree weather and mask up

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Speaker 1: between bites during lunch because they're cowardly idiot adults around

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Speaker 1: them didn't care about their little fingers, you know, freezing together,

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Speaker 1: why didn't you say that's not necessary, we shouldn't do that.

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Speaker 1: In fact, the question they should ask Fauci is, did

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Speaker 1: you ever, at any point during the entire pandemic publicly

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Speaker 1: speak out against a worthless and too harsh restriction? Give

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Speaker 1: me one thing one time you did that?

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Speaker 7: You would have a lot of I am science and

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Speaker 7: I am Fauci.

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Speaker 1: And he has there's no answer for it. Why not

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Speaker 1: get him on the record with that? And I know

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Speaker 1: people get so upset about the the research going on

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Speaker 1: the Wuhan lab and everything else. Fauci used cutouts. They're

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Speaker 1: never gonna really tie it to him. Yes, the virus

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Speaker 1: came from Wuhan. We all know that. We've known that

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Speaker 1: a long time. But in terms of blaming Fauci for it,

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Speaker 1: did you see what he was saying today? It was

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Speaker 1: below my pay grade. Those kinds of grants are below

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Speaker 1: my pay grade.

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Speaker 2: And also basically saying once we gave them the money,

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Speaker 2: we don't really know how they use it. My question

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Speaker 2: would be why are we giving taxpayer funded grants to

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Speaker 2: Chinese hospital chineseog L Like that's that seems like a

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Speaker 2: really poor decision in general, Like I don't want my

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Speaker 2: taxpayer dollars going to any Chinese. But this is what

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Speaker 2: I This is what I mean, though, I mean, there

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Speaker 2: are ways to corner him and expose him and get

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Speaker 2: him on the record and saying I won't call you doctor.

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Speaker 2: You know, we make jokes about Jill Biden here, but

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Speaker 2: you know we're a radio talk show, a you know,

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Speaker 2: doctor Joe Biden, all that stuff. You're on Capitol Hill,

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Speaker 2: he's under oath, he's before Congress. The question should be

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Speaker 2: designed to get him to admit. I mean they should

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Speaker 2: even push him more on Show Me one. What is

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Speaker 2: the study that supports that masking had any efficacy whatsoever

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Speaker 2: as a policy, Like, I want the study.

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Speaker 1: I don't want to hear that. There are many studies.

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Speaker 1: I want to know, what is the study that you

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Speaker 1: would most point to. You know, Clay, There's so many

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Speaker 1: questions that they could ask. And I'm not saying that

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Speaker 1: none of these questions got asked because we have to

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Speaker 1: do the show. We can't watch the whole hearing. But

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Speaker 1: you know what I mean, you know, he's got to

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Speaker 1: be precise.

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00:23:38,240 --> 00:23:42,080
Speaker 2: Almost all of these I think would be better these

433
00:23:42,119 --> 00:23:47,040
Speaker 2: hearings if everybody deferred their time to the best possible questioner,

434
00:23:47,800 --> 00:23:51,320
Speaker 2: who is the expert. Yeah, Ran Paul, this is a

435
00:23:51,359 --> 00:23:54,480
Speaker 2: house hearing, but whoever the person in the House side,

436
00:23:54,600 --> 00:23:56,840
Speaker 2: on the Senate side, I agree, Rand Paul is going

437
00:23:56,920 --> 00:23:59,600
Speaker 2: to grill Fauci because you only get five minutes, and

438
00:23:59,680 --> 00:24:01,960
Speaker 2: as a result, you get a lot of grand standing.

439
00:24:02,359 --> 00:24:05,240
Speaker 2: If you really want to hold somebody accountable, one guy

440
00:24:05,480 --> 00:24:06,879
Speaker 2: or gal should do all the questions.

441
00:24:06,880 --> 00:24:07,760
Speaker 1: Can we play Buck?

442
00:24:07,760 --> 00:24:09,600
Speaker 2: Do you remember this? This is where right when we started.

443
00:24:09,600 --> 00:24:12,359
Speaker 2: I want to play this and I encourage you guys

444
00:24:12,640 --> 00:24:15,760
Speaker 2: and we'll retweet it at Clay and Buck. When they

445
00:24:15,920 --> 00:24:19,040
Speaker 2: put masks back on kids in August of twenty one

446
00:24:19,320 --> 00:24:22,760
Speaker 2: in my home jurisdiction, I went and spoke. This was

447
00:24:22,840 --> 00:24:25,280
Speaker 2: one minute, but I want all of you to go

448
00:24:25,400 --> 00:24:28,800
Speaker 2: look at what was said to me. For what I

449
00:24:28,920 --> 00:24:32,120
Speaker 2: said three years ago. Now there's virtually nobody who will

450
00:24:32,160 --> 00:24:36,160
Speaker 2: even defend ever having put kids in masks. Almost everyone

451
00:24:36,200 --> 00:24:40,720
Speaker 2: will acknowledge it was wrong. Even in Williamson County, Tennessee,

452
00:24:40,760 --> 00:24:44,680
Speaker 2: where I lived Deep red Williamson County, the school board

453
00:24:44,760 --> 00:24:47,840
Speaker 2: voted that kids had to be in masks kindergarteners in

454
00:24:48,000 --> 00:24:49,400
Speaker 2: August of twenty twenty one.

455
00:24:49,480 --> 00:24:50,280
Speaker 1: This is when.

456
00:24:50,440 --> 00:24:53,800
Speaker 2: Throwback three years ago at the school board meeting, this

457
00:24:53,960 --> 00:24:55,080
Speaker 2: was me good evening.

458
00:24:55,359 --> 00:24:58,720
Speaker 11: I'm Clay Travis. I have two kids in Williamson.

459
00:24:58,320 --> 00:25:01,160
Speaker 2: County Public schools, fifth grader and a first rader, and

460
00:25:01,200 --> 00:25:03,760
Speaker 2: you all should be ashamed of the choices that you

461
00:25:03,840 --> 00:25:04,680
Speaker 2: are about freemade.

462
00:25:05,160 --> 00:25:07,640
Speaker 11: We teach our kids that facts matter. That's why they

463
00:25:07,640 --> 00:25:10,880
Speaker 11: go to school. The facts are these masks don't work.

464
00:25:11,000 --> 00:25:14,600
Speaker 12: There isn't a single scientific data that has.

465
00:25:14,480 --> 00:25:16,800
Speaker 11: Ever proven that mass work.

466
00:25:16,920 --> 00:25:19,600
Speaker 12: Also, let's talk about risk analysis, which is the key.

467
00:25:19,680 --> 00:25:22,879
Speaker 12: I feel bad for all these people walking around in mass,

468
00:25:22,960 --> 00:25:25,960
Speaker 12: engaging in cosmetic theater, thinking that they are.

469
00:25:25,800 --> 00:25:28,760
Speaker 11: Making a difference against COVID. They aren't. Here's the truth.

470
00:25:29,200 --> 00:25:32,639
Speaker 12: Our kids under twenty five year old, one in a

471
00:25:32,760 --> 00:25:35,280
Speaker 12: million chants that they are going to die of COVID.

472
00:25:35,320 --> 00:25:38,400
Speaker 11: They are more likely to be struck by lightning. They

473
00:25:38,440 --> 00:25:41,600
Speaker 11: are more likely to be struck by lightning. They are

474
00:25:41,600 --> 00:25:43,560
Speaker 11: more likely to die of the seasonal flu.

475
00:25:43,680 --> 00:25:47,080
Speaker 12: Have any of you ever mandated mass for the seasonal flu?

476
00:25:47,160 --> 00:25:50,119
Speaker 12: Will shame on you, because every kid in Williamson County

477
00:25:50,160 --> 00:25:53,240
Speaker 12: schools has been under more danger from the seasonal flu

478
00:25:53,600 --> 00:25:56,800
Speaker 12: every year than they are for COVID. I would tell

479
00:25:56,840 --> 00:26:07,840
Speaker 12: every parent here, don't let your kids to wear masks.

480
00:26:08,880 --> 00:26:14,639
Speaker 1: So it's nice to be right. I go ahead.

481
00:26:15,040 --> 00:26:18,000
Speaker 2: It's nice to be right occasionally. But what I want

482
00:26:18,040 --> 00:26:21,040
Speaker 2: you guys to do is if you go on social media,

483
00:26:22,080 --> 00:26:25,520
Speaker 2: go look back in twenty twenty one at all the

484
00:26:25,680 --> 00:26:30,400
Speaker 2: nasty things people said to me for simply saying masks

485
00:26:30,440 --> 00:26:34,960
Speaker 2: shouldn't be mandated on elementary school kids, including my own children,

486
00:26:35,320 --> 00:26:38,040
Speaker 2: who were attending the school that was going to be

487
00:26:38,080 --> 00:26:39,160
Speaker 2: requiring masks.

488
00:26:40,200 --> 00:26:41,560
Speaker 1: Those people are still out there.

489
00:26:42,160 --> 00:26:45,639
Speaker 2: None of them have apologized, to my knowledge, none of

490
00:26:45,680 --> 00:26:49,040
Speaker 2: them have been held accountable. They didn't want you to

491
00:26:49,080 --> 00:26:53,160
Speaker 2: be able to be treated at hospitals. They rooted for

492
00:26:53,240 --> 00:26:56,760
Speaker 2: your kids to get sick. They wanted for you. They

493
00:26:56,800 --> 00:26:59,760
Speaker 2: wanted you to die because you wouldn't get the COVID shot.

494
00:27:00,520 --> 00:27:05,800
Speaker 2: And but question for you, I watched the hearing. Democrats

495
00:27:06,680 --> 00:27:11,600
Speaker 2: are still covering for Fauci. One of the big flaws

496
00:27:11,640 --> 00:27:16,800
Speaker 2: that we have in American life. And I would say Democrats, Republicans, independence,

497
00:27:17,080 --> 00:27:23,520
Speaker 2: your own personal life, everybody out there, me included, admit

498
00:27:23,720 --> 00:27:28,680
Speaker 2: when you are wrong. So much would change if Fauci

499
00:27:28,760 --> 00:27:30,840
Speaker 2: came out. I don't even think it's very difficult Buck

500
00:27:30,920 --> 00:27:34,960
Speaker 2: and said, to your point, in retrospect, we did far

501
00:27:35,080 --> 00:27:38,360
Speaker 2: too much. I overprotected. I wish I could go back

502
00:27:38,400 --> 00:27:40,040
Speaker 2: and change some of the decisions we made.

503
00:27:40,119 --> 00:27:42,920
Speaker 1: And this is not just an issue of I told

504
00:27:42,960 --> 00:27:45,880
Speaker 1: you so, or Clay and I were right. Fauci was wrong,

505
00:27:45,880 --> 00:27:51,399
Speaker 1: which is obviously true, but it's they haven't corrected the

506
00:27:51,560 --> 00:27:58,280
Speaker 1: record such that if we had a considerably more dangerous.

507
00:27:58,400 --> 00:28:02,879
Speaker 1: The Spanish influenza was orders of magnitude more dangerous than COVID.

508
00:28:02,920 --> 00:28:05,560
Speaker 1: That is beyond question now, okay, far greater to young

509
00:28:05,600 --> 00:28:09,000
Speaker 1: people too, kids to young people, and the prodishly killed

510
00:28:09,080 --> 00:28:11,560
Speaker 1: a lot of young people in the second wave, people

511
00:28:11,640 --> 00:28:13,919
Speaker 1: like eight you know, Prime of life eighteen to forty

512
00:28:14,200 --> 00:28:16,040
Speaker 1: was where it was most dangerous for yes.

513
00:28:16,000 --> 00:28:16,160
Speaker 13: So.

514
00:28:17,720 --> 00:28:22,440
Speaker 1: We I'll tell you this. I still get and you know,

515
00:28:22,840 --> 00:28:24,639
Speaker 1: I want to find out who's making these calls and

516
00:28:24,680 --> 00:28:26,520
Speaker 1: all this stuff at TikTok is now that Trump's on

517
00:28:26,520 --> 00:28:28,439
Speaker 1: and people start to pay attention to TikTok, want to

518
00:28:28,440 --> 00:28:31,000
Speaker 1: get banned. Stop being a bunch of damn communist TikTok

519
00:28:31,400 --> 00:28:34,040
Speaker 1: because I just got to strike recently, Clay. They still

520
00:28:34,080 --> 00:28:37,800
Speaker 1: will give you on social media. They'll give you strikes

521
00:28:37,840 --> 00:28:40,840
Speaker 1: and bands and all kinds of things for saying things

522
00:28:40,920 --> 00:28:44,280
Speaker 1: like masks don't work, for saying things like the vaccines

523
00:28:44,280 --> 00:28:48,200
Speaker 1: don't prevent the spread. Even today, fauci On on Capitol

524
00:28:48,280 --> 00:28:52,479
Speaker 1: Hill was saying, well, the vaccines, they work to prevent

525
00:28:52,560 --> 00:28:56,680
Speaker 1: the spread initially, but then a vaccine that works for

526
00:28:56,720 --> 00:29:00,360
Speaker 1: a couple of weeks is not a vaccine, Okay, yeah,

527
00:29:00,360 --> 00:29:02,880
Speaker 1: and you can't even do a study that shows whether

528
00:29:02,920 --> 00:29:05,560
Speaker 1: it worked for a couple of weeks. It is all

529
00:29:05,960 --> 00:29:09,200
Speaker 1: full crap. Unfortunately, people in Congress generally don't have much

530
00:29:09,200 --> 00:29:11,960
Speaker 1: of a background in statistics or math, or you know,

531
00:29:12,040 --> 00:29:15,920
Speaker 1: a whole bunch of things. But they haven't even corrected

532
00:29:15,920 --> 00:29:18,720
Speaker 1: the record. Clay, we would face the same thing again.

533
00:29:19,400 --> 00:29:20,400
Speaker 1: I don't, don't you.

534
00:29:20,480 --> 00:29:23,200
Speaker 9: I still see people walking around with masks. I know

535
00:29:23,760 --> 00:29:27,600
Speaker 9: I still see people doing this, and a Fauci, more

536
00:29:27,640 --> 00:29:30,720
Speaker 9: than any other human being on the planet, could make

537
00:29:30,760 --> 00:29:33,320
Speaker 9: it so you never have to go through this madness again.

538
00:29:33,480 --> 00:29:35,840
Speaker 9: The human race will never have to do this again.

539
00:29:36,120 --> 00:29:40,120
Speaker 9: And he won't do it because he is a gutless,

540
00:29:40,200 --> 00:29:42,280
Speaker 9: disgusting coward.

541
00:29:42,760 --> 00:29:46,640
Speaker 2: Remember when you couldn't compare COVID to the flu. Over

542
00:29:46,720 --> 00:29:49,480
Speaker 2: the weekend, The New York Times has an article up

543
00:29:49,480 --> 00:29:54,640
Speaker 2: that I read saying, is it COVID allergies or a cold?

544
00:29:55,440 --> 00:29:59,440
Speaker 2: The difficulties associated with knowing why your nose is running.

545
00:30:00,440 --> 00:30:06,000
Speaker 2: They're now comparing COVID to allergies and the cold.

546
00:30:06,480 --> 00:30:06,760
Speaker 1: Fout.

547
00:30:06,800 --> 00:30:10,960
Speaker 2: You today claimed three million people's lives were saved by

548
00:30:11,000 --> 00:30:13,160
Speaker 2: the COVID shot. And I would just point out that

549
00:30:13,640 --> 00:30:18,000
Speaker 2: every single human basically on the planet has gotten COVID.

550
00:30:18,200 --> 00:30:22,280
Speaker 2: The reason why COVID stopped working was because everybody got

551
00:30:22,320 --> 00:30:24,880
Speaker 2: it and everybody started to have immunities to it.

552
00:30:25,240 --> 00:30:27,760
Speaker 1: It had nothing to do with the worthless COVID shot.

553
00:30:27,920 --> 00:30:31,680
Speaker 2: In fact, the data actually reflects that the COVID shot

554
00:30:32,040 --> 00:30:36,440
Speaker 2: probably prolonged the amount of time that people kept getting

555
00:30:36,480 --> 00:30:40,720
Speaker 2: and spreading COVID because it actually makes you in many

556
00:30:40,760 --> 00:30:45,600
Speaker 2: ways it appears more susceptible to getting COVID again. We'll

557
00:30:45,600 --> 00:30:48,479
Speaker 2: talk about it in the meantime. I've been down with

558
00:30:48,640 --> 00:30:51,720
Speaker 2: my family in Panama City Beach area on thirty a

559
00:30:51,880 --> 00:30:55,880
Speaker 2: past several weeks. But I'm sure you've noticed this price

560
00:30:55,960 --> 00:31:01,400
Speaker 2: on everything's gone up. Fast food fifty seven dollars for

561
00:31:01,520 --> 00:31:05,640
Speaker 2: us Birmingham, Alabama family of five went to a Chick

562
00:31:05,640 --> 00:31:09,720
Speaker 2: fil A on our drive down to the beach fifty

563
00:31:09,840 --> 00:31:13,080
Speaker 2: seven dollars. It cost me to feed the three boys,

564
00:31:13,160 --> 00:31:17,240
Speaker 2: me and my wife. It's crazy. Everybody's trying to save money.

565
00:31:17,280 --> 00:31:20,040
Speaker 2: That's what Puretalk does for you. They can give you

566
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Speaker 2: the same great service that you have at Verizon, T

567
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Speaker 2: Mobile or AT and T, but you can save fifty

568
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Speaker 2: or sixty bucks a month while not sacrificing quality at all.

569
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Speaker 2: Unlimited talk text, plenty of high speed data for just

570
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Speaker 2: twenty bucks a month.

571
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Speaker 1: That's right incredible offer.

572
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Speaker 2: And if you're worried about the hassles of switching, Puretalk

573
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Speaker 2: will make it super easy. When you switch to Pure Talk,

574
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Speaker 2: you can keep your phone and your phone number. You

575
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Speaker 2: can get five G nationwide service. Best there is. Save

576
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Speaker 2: money by switching to Puretalk on your phone dial Pound

577
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Speaker 2: two five zero, say Clay and Buck, and make the

578
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Speaker 2: switch today. Their USB based customer service team standing by.

579
00:32:02,760 --> 00:32:06,120
Speaker 2: That's Pound two five zero, say Clay and Buck.

580
00:32:07,080 --> 00:32:10,920
Speaker 14: Twenty four on You podcast from Clay and Buck covering

581
00:32:11,040 --> 00:32:15,120
Speaker 14: all things Election episodes drum Sundays at noon Eastern. Find

582
00:32:15,160 --> 00:32:17,960
Speaker 14: it on the free iHeartRadio app or wherever you get

583
00:32:18,000 --> 00:32:18,920
Speaker 14: your podcasts.

584
00:32:19,520 --> 00:32:22,680
Speaker 2: Welcome back in Clay, Travis Buck Sexton Show.

585
00:32:22,800 --> 00:32:23,040
Speaker 1: Buck.

586
00:32:23,080 --> 00:32:25,120
Speaker 2: I want to set the table for you because I

587
00:32:25,120 --> 00:32:27,080
Speaker 2: think this is I can't. I'm gonna be honest with you.

588
00:32:27,880 --> 00:32:31,240
Speaker 2: I am stunned how big of a story this has become.

589
00:32:31,800 --> 00:32:37,479
Speaker 2: But all weekend long foxnews dot Com OutKick, millions of

590
00:32:37,560 --> 00:32:43,240
Speaker 2: people are clicking on the Caitlin Clark story WNBA basketball player.

591
00:32:43,880 --> 00:32:49,480
Speaker 2: She is getting mistreated horribly in the WNBA. I think

592
00:32:49,520 --> 00:32:51,800
Speaker 2: to a large extent, it's because she's a white girl

593
00:32:52,000 --> 00:32:54,520
Speaker 2: who happens to be heterosexual. I'm gonna play a cut

594
00:32:54,560 --> 00:32:56,560
Speaker 2: for you, and then we'll react to it a bit

595
00:32:56,560 --> 00:32:57,160
Speaker 2: when we come back.

596
00:32:57,200 --> 00:32:59,440
Speaker 1: This is stephen A. Smith today on ESPN.

597
00:32:59,720 --> 00:33:04,720
Speaker 10: Ye are girls, young ladies in the WNBA who are

598
00:33:04,880 --> 00:33:08,920
Speaker 10: jealous of Caitlyn Clark. She is a white girl that

599
00:33:09,040 --> 00:33:13,320
Speaker 10: has come into the league. She has bursted onto the scene.

600
00:33:13,840 --> 00:33:15,840
Speaker 10: She hasn't proven herself yet.

601
00:33:16,600 --> 00:33:19,720
Speaker 13: It's not even about them thinking they're better than her,

602
00:33:19,960 --> 00:33:24,240
Speaker 13: because they probably know it at this particular juncture because

603
00:33:24,280 --> 00:33:27,920
Speaker 13: they've been playing on a level she just arrived to.

604
00:33:28,920 --> 00:33:32,840
Speaker 13: Where the resentment comes in is the hard work, the commitment,

605
00:33:32,920 --> 00:33:36,040
Speaker 13: the dedication, you know, the pounding of the payment, that

606
00:33:36,160 --> 00:33:39,160
Speaker 13: being on the grind all of these years trying to

607
00:33:39,360 --> 00:33:43,720
Speaker 13: uplift this brand that is the WNBA and is women's

608
00:33:43,760 --> 00:33:48,320
Speaker 13: professional basketball, and all of their efforts were in vain

609
00:33:48,560 --> 00:33:54,600
Speaker 13: until this girl comes along and takes the league by storm.

610
00:33:54,640 --> 00:33:57,240
Speaker 1: All Right, we're gonna we gotta dive into that analysis

611
00:33:57,280 --> 00:33:59,400
Speaker 1: on that. We come back here in a second. You know,

612
00:33:59,480 --> 00:34:01,720
Speaker 1: my friend under stands very for the last twenty five

613
00:34:01,800 --> 00:34:05,160
Speaker 1: years has predicted some of the biggest economic and financial

614
00:34:05,240 --> 00:34:08,320
Speaker 1: moves in this country and around the world. He exposed

615
00:34:08,320 --> 00:34:10,800
Speaker 1: a corruption at the heart of a major American autobile

616
00:34:10,840 --> 00:34:13,640
Speaker 1: company and warned of the collapse of major lenders in

617
00:34:13,680 --> 00:34:16,160
Speaker 1: two thousand and eight. I tell you all this because

618
00:34:16,200 --> 00:34:19,839
Speaker 1: he's making another bold prediction now in a documentary that's

619
00:34:19,880 --> 00:34:22,279
Speaker 1: just been released a few weeks ago. His name is

620
00:34:22,320 --> 00:34:25,080
Speaker 1: Porter stands very as I said, he is a phenomenal

621
00:34:25,120 --> 00:34:30,520
Speaker 1: economist and market forecaster, and his documentary is America's Last Election.

622
00:34:31,120 --> 00:34:33,439
Speaker 1: You can watch this for free. Go check it out

623
00:34:33,480 --> 00:34:37,160
Speaker 1: for yourself. It's about a new financial crisis that is brewing.

624
00:34:37,360 --> 00:34:40,320
Speaker 1: It can affect all of your wealth and your future.

625
00:34:40,680 --> 00:34:44,000
Speaker 1: Watch it for free at this website Last Election plot

626
00:34:44,040 --> 00:34:48,279
Speaker 1: dot com. That's Last Election plot dot com paid for

627
00:34:48,400 --> 00:34:51,040
Speaker 1: by Porter and Company. Welcome back in Team. Okay, so

628
00:34:51,200 --> 00:34:55,560
Speaker 1: we just played this Stephen A. Smith, who's a very

629
00:34:55,560 --> 00:34:58,000
Speaker 1: famous sports analyst. I think everyone knows that, but I

630
00:34:58,040 --> 00:35:00,560
Speaker 1: say it just so I can you know, set the

631
00:35:00,600 --> 00:35:03,000
Speaker 1: table everyone, I know what I'm talking about. To Steven A. Smith,

632
00:35:03,120 --> 00:35:06,640
Speaker 1: very famous sports analyst fellow, I was talking about the

633
00:35:06,719 --> 00:35:11,319
Speaker 1: Caitlin Clark issue. I saw Clay's posts on x over

634
00:35:11,320 --> 00:35:16,960
Speaker 1: the weekend with video of a very clearly nasty just

635
00:35:17,760 --> 00:35:20,840
Speaker 1: not a foul, really just a almost like cheap shot,

636
00:35:21,160 --> 00:35:23,400
Speaker 1: just a cheap shot, you know, I mean, not not

637
00:35:23,480 --> 00:35:26,640
Speaker 1: quite like Tanya Harding level cheap shot, but you know,

638
00:35:26,920 --> 00:35:29,120
Speaker 1: a cheap shot like just meant to hurt somebody or

639
00:35:29,680 --> 00:35:33,200
Speaker 1: you know, injure them from another WNBA player. It has

640
00:35:33,200 --> 00:35:37,640
Speaker 1: now been called a flagrant foul. But people are saying, Okay,

641
00:35:37,800 --> 00:35:41,440
Speaker 1: what's really going on here? And I'm just gonna hand

642
00:35:41,440 --> 00:35:42,719
Speaker 1: it over to my man, Clay, who can tell me

643
00:35:42,760 --> 00:35:45,080
Speaker 1: what is going on in the WNBA from your extensive

644
00:35:45,160 --> 00:35:45,960
Speaker 1: WNBA why.

645
00:35:47,040 --> 00:35:49,640
Speaker 2: I was just talking with our producer Ali off air

646
00:35:49,760 --> 00:35:53,680
Speaker 2: about this, and I think Ali's sitting there in New York. Ali,

647
00:35:53,800 --> 00:35:58,160
Speaker 2: have you ever cared about any women's basketball story in

648
00:35:58,200 --> 00:35:59,240
Speaker 2: your entire life?

649
00:35:59,560 --> 00:36:00,920
Speaker 8: No, really paid attention.

650
00:36:01,600 --> 00:36:04,520
Speaker 1: Okay, do you care about the Caitlin Clark story.

651
00:36:04,840 --> 00:36:05,839
Speaker 8: I'm intrigued by it.

652
00:36:05,920 --> 00:36:06,600
Speaker 1: I'll be honest.

653
00:36:07,840 --> 00:36:12,000
Speaker 2: This is so that is a perfect approximation. It's rare

654
00:36:12,120 --> 00:36:14,040
Speaker 2: that I see because I get to see the data.

655
00:36:14,320 --> 00:36:17,839
Speaker 2: What are people clicking on? What do people care about?

656
00:36:18,000 --> 00:36:21,640
Speaker 2: Most of the time, I am not surprised by what

657
00:36:21,719 --> 00:36:23,600
Speaker 2: people click on and what people care about.

658
00:36:23,640 --> 00:36:25,239
Speaker 1: That's the business that I'm in.

659
00:36:26,120 --> 00:36:30,799
Speaker 2: Over the weekend, millions of people were clicking on this

660
00:36:30,920 --> 00:36:34,680
Speaker 2: Caitlin Clark story about the cheap shot that you just referenced.

661
00:36:35,200 --> 00:36:39,360
Speaker 2: It has cut across lines. I mean, we got multiple

662
00:36:39,400 --> 00:36:42,879
Speaker 2: people booked on Fox News to talk about this from

663
00:36:42,920 --> 00:36:47,800
Speaker 2: OutKick in a way that rarely do sports stories connect.

664
00:36:48,040 --> 00:36:51,839
Speaker 2: And so I'm curious for our audience out there, are

665
00:36:51,920 --> 00:36:56,360
Speaker 2: you following this and paying attention to it. My suspicion

666
00:36:56,440 --> 00:36:58,319
Speaker 2: is the answer is yes, because again I see all

667
00:36:58,360 --> 00:37:01,920
Speaker 2: of the Fox News data, I see the OutKick data,

668
00:37:02,239 --> 00:37:05,120
Speaker 2: and that overlaps with our audience to a large extent.

669
00:37:05,760 --> 00:37:10,520
Speaker 2: I think, what's going on here, Buck, Kaitlin Clark is white.

670
00:37:11,000 --> 00:37:13,680
Speaker 2: I think that's a big part of the story here

671
00:37:13,719 --> 00:37:17,319
Speaker 2: in terms of her treatment. But I also think it's

672
00:37:17,400 --> 00:37:22,360
Speaker 2: that she's straight. There are not a lot of straight

673
00:37:22,600 --> 00:37:28,680
Speaker 2: women's basketball players, and so in the WNBA, Kaitlyn Clark,

674
00:37:28,800 --> 00:37:34,600
Speaker 2: as a straight white woman, is just getting wrecked on

675
00:37:34,760 --> 00:37:38,960
Speaker 2: the court and ridiculed and attacked in a way that

676
00:37:39,160 --> 00:37:43,839
Speaker 2: I can never remember any male athlete being treated of

677
00:37:43,920 --> 00:37:48,600
Speaker 2: any race. And of course, if this were a minority

678
00:37:49,760 --> 00:37:53,280
Speaker 2: in a majority white league and this happened, it would

679
00:37:53,280 --> 00:37:55,960
Speaker 2: be a huge story. Oh my goodness, look at the

680
00:37:56,040 --> 00:37:58,120
Speaker 2: latent racism that's going on here.

681
00:37:58,920 --> 00:37:59,920
Speaker 1: I'm fascinated by it.

682
00:38:00,040 --> 00:38:02,480
Speaker 2: I'm curious what your analysis would be, because I know

683
00:38:02,920 --> 00:38:04,879
Speaker 2: you've been kind of following this somewhat too.

684
00:38:05,200 --> 00:38:05,640
Speaker 1: Stephen A.

685
00:38:05,760 --> 00:38:09,480
Speaker 2: Smith is now pointing out the race and not as

686
00:38:09,600 --> 00:38:10,680
Speaker 2: much the sexuality.

687
00:38:10,680 --> 00:38:12,359
Speaker 1: But I do think that factors in here.

688
00:38:13,120 --> 00:38:17,320
Speaker 2: These WNBA women, even though Caitlin Clark is bringing tens

689
00:38:17,320 --> 00:38:19,880
Speaker 2: of millions of dollars to their league, because they've been

690
00:38:19,880 --> 00:38:23,160
Speaker 2: playing for thirty years and nobody cares. She somehow has

691
00:38:23,200 --> 00:38:26,200
Speaker 2: cut through the noise and people care about her, much

692
00:38:26,360 --> 00:38:29,840
Speaker 2: like I would say Tiger Woods when he came to golf,

693
00:38:30,000 --> 00:38:34,240
Speaker 2: brought a whole new audience to golf, and everybody benefited. Suddenly,

694
00:38:34,239 --> 00:38:36,319
Speaker 2: if you won the Masters, you made a lot more

695
00:38:36,360 --> 00:38:38,680
Speaker 2: money than you did before. But it was seen as

696
00:38:38,719 --> 00:38:43,000
Speaker 2: a super positive by and large. Tiger was welcomed into golf.

697
00:38:43,040 --> 00:38:44,960
Speaker 2: Everybody was like, Okay, this is great, We're gonna all

698
00:38:44,960 --> 00:38:48,120
Speaker 2: make more money. People care about us more. These girls

699
00:38:48,200 --> 00:38:50,640
Speaker 2: are just trying to wreck Caitlin Clark. I think if

700
00:38:50,640 --> 00:38:53,560
Speaker 2: they could injure her and knock her out for the season.

701
00:38:53,640 --> 00:38:56,160
Speaker 2: They would be happy to do so well.

702
00:38:56,360 --> 00:38:59,799
Speaker 1: I think it's also worth asking, what do you call

703
00:38:59,880 --> 00:39:03,600
Speaker 1: it it? If someone chooses or I shouldn't choose, this

704
00:39:03,680 --> 00:39:04,960
Speaker 1: isn't really the right word. What do you call it?

705
00:39:05,000 --> 00:39:09,600
Speaker 1: If somebody despises a person because that person is white

706
00:39:09,600 --> 00:39:13,279
Speaker 1: and straight? Is that not bigotry? I mean, is that not?

707
00:39:14,400 --> 00:39:16,799
Speaker 1: If that's not the word, what is the word? Right?

708
00:39:16,840 --> 00:39:18,320
Speaker 1: I mean, what are we going to call it? I

709
00:39:18,360 --> 00:39:21,600
Speaker 1: guess you could say it's it's racism. I don't like

710
00:39:21,640 --> 00:39:24,279
Speaker 1: the term reverse racism because that plays into some left

711
00:39:24,280 --> 00:39:26,279
Speaker 1: wing narrative. It's just racism, right, If you don't like

712
00:39:26,320 --> 00:39:30,880
Speaker 1: somebody because of their skin color, that's racism. It seems

713
00:39:30,880 --> 00:39:34,680
Speaker 1: to me like it's the ultimate loser mentality for a

714
00:39:34,719 --> 00:39:38,600
Speaker 1: person who, as their profession is doing something that will

715
00:39:38,640 --> 00:39:42,399
Speaker 1: benefit from the presence of greater attention, more money coming

716
00:39:42,440 --> 00:39:46,960
Speaker 1: into the league, and still chooses to effectively spit on

717
00:39:47,760 --> 00:39:52,920
Speaker 1: that person or that change in public attention. You should

718
00:39:52,920 --> 00:39:54,640
Speaker 1: want this. I mean, you know, I had a friend

719
00:39:54,680 --> 00:39:56,759
Speaker 1: who played years ago. I worked with a guy he

720
00:39:56,800 --> 00:40:00,400
Speaker 1: played professional lacrosse, and I asked him a honestly I

721
00:40:00,480 --> 00:40:01,840
Speaker 1: was like, I didn't even know there was such a

722
00:40:01,840 --> 00:40:04,520
Speaker 1: thing as professional lacross. He goes yeah, He goes, yeah,

723
00:40:04,560 --> 00:40:06,600
Speaker 1: Well I played in the season and I made like

724
00:40:06,680 --> 00:40:09,839
Speaker 1: twenty grand and had a full time job. It wasn't

725
00:40:09,920 --> 00:40:11,960
Speaker 1: you know, to say you're a pro lacrosse player is

726
00:40:12,000 --> 00:40:14,360
Speaker 1: not is not to say like you're a pro you know,

727
00:40:14,400 --> 00:40:17,160
Speaker 1: you're an NBA player or something making ten million, thirty

728
00:40:17,200 --> 00:40:20,520
Speaker 1: million whatever a year. That's quite the opposite. If somebody

729
00:40:20,560 --> 00:40:23,239
Speaker 1: came along and was getting paid tens of millions of

730
00:40:23,280 --> 00:40:26,240
Speaker 1: dollars in endorsement money to be a professional lacrosse player,

731
00:40:26,719 --> 00:40:29,160
Speaker 1: you'd have to be an imbecile to think that it's

732
00:40:29,160 --> 00:40:33,320
Speaker 1: a good idea to destroy that person, because a rising

733
00:40:33,360 --> 00:40:36,080
Speaker 1: tide will lift all boats and it's better for the

734
00:40:36,280 --> 00:40:39,920
Speaker 1: entire enterprise. Right. Yeah, that's where I think this just shows.

735
00:40:40,520 --> 00:40:42,799
Speaker 1: It's just years of a loser mentality of we don't

736
00:40:42,800 --> 00:40:46,800
Speaker 1: make any money, nobody cares. There's a bitterness that seems

737
00:40:46,840 --> 00:40:50,200
Speaker 1: to be behind any decision to try to hurt a

738
00:40:50,320 --> 00:40:52,400
Speaker 1: rising star who, as usually pointed out, it's going to

739
00:40:52,440 --> 00:40:53,760
Speaker 1: make a lot of money for a lot of people

740
00:40:53,960 --> 00:40:57,160
Speaker 1: in this industry, in this in this league, the WNBA.

741
00:40:57,760 --> 00:41:00,920
Speaker 2: Yeah, and I would be curious to hear from other people.

742
00:41:01,080 --> 00:41:03,400
Speaker 2: But the way that they are paying attention eight hundred

743
00:41:03,400 --> 00:41:04,759
Speaker 2: and two A two two eight A two is we're

744
00:41:04,760 --> 00:41:09,280
Speaker 2: closing out the show today. The cultural impact of Caitlin Clark.

745
00:41:09,320 --> 00:41:11,680
Speaker 2: This is one that I was wrong on. I did

746
00:41:11,680 --> 00:41:14,600
Speaker 2: not think that eighteen million or whatever the number is

747
00:41:14,960 --> 00:41:20,880
Speaker 2: people were gonna watch the Iowa women play against LSU

748
00:41:20,960 --> 00:41:22,239
Speaker 2: for the national championship.

749
00:41:22,239 --> 00:41:25,280
Speaker 1: That's that number. Stunned me. Do you remember Jeremy Lynn

750
00:41:25,400 --> 00:41:28,400
Speaker 1: in the NBA? Yeah, I know, yeah, lind Sanity, Yes,

751
00:41:28,560 --> 00:41:31,200
Speaker 1: And you know, there was this moment where people were like, wow,

752
00:41:31,239 --> 00:41:33,680
Speaker 1: this guy is all of a sudden, you know, and look,

753
00:41:33,680 --> 00:41:35,000
Speaker 1: he didn't have a big career and he wasn't a

754
00:41:35,000 --> 00:41:37,360
Speaker 1: great NBA player, but he's in the NBA and he

755
00:41:37,480 --> 00:41:40,760
Speaker 1: just completely caught fire for a while and was scoring

756
00:41:40,800 --> 00:41:43,800
Speaker 1: crazy amounts of points and had had some really big games.

757
00:41:44,640 --> 00:41:47,279
Speaker 1: And I think that there was an understanding because the

758
00:41:47,360 --> 00:41:50,560
Speaker 1: NBA is a big business. It's like, oh, a lot

759
00:41:50,600 --> 00:41:54,520
Speaker 1: of people and particularly overseas, a lot of people were

760
00:41:54,600 --> 00:41:58,239
Speaker 1: really really excited about this about lynd Sanity, and so

761
00:41:58,400 --> 00:42:02,960
Speaker 1: it can only help expose you're in the Asian TV market,

762
00:42:03,239 --> 00:42:05,880
Speaker 1: which is absolutely it's the biggest, you know market in

763
00:42:05,920 --> 00:42:06,200
Speaker 1: the world.

764
00:42:06,400 --> 00:42:08,640
Speaker 2: Yeah, me was so big, and why sho Hey is

765
00:42:08,680 --> 00:42:11,480
Speaker 2: so big in Major League Baseball. The bigger the markets

766
00:42:11,560 --> 00:42:13,680
Speaker 2: of people that care about your sport, the more money

767
00:42:13,760 --> 00:42:15,400
Speaker 2: everybody makes, right, right, what?

768
00:42:15,560 --> 00:42:17,520
Speaker 1: But this is what I mean in the NBA, because

769
00:42:17,560 --> 00:42:20,480
Speaker 1: it's a successful business. I think there's just an understanding

770
00:42:20,480 --> 00:42:22,759
Speaker 1: of like, oh Lin Senne is great. If we have

771
00:42:22,800 --> 00:42:26,160
Speaker 1: you know, millions more people in China or Japan or

772
00:42:26,200 --> 00:42:29,320
Speaker 1: you know, any of the above watching, that just ups

773
00:42:29,320 --> 00:42:32,040
Speaker 1: our contry. You know, everyone makes more money on their contracts.

774
00:42:32,080 --> 00:42:34,239
Speaker 1: Everybody has more viewers. I mean, people want to have

775
00:42:34,239 --> 00:42:37,000
Speaker 1: as many viewers as possible for their games, right, professional pride,

776
00:42:37,400 --> 00:42:39,960
Speaker 1: everybody wins. I don't remember. Yeah, I mean you could

777
00:42:39,960 --> 00:42:41,960
Speaker 1: have pointed out the guy, but you know, okay, so

778
00:42:42,080 --> 00:42:45,239
Speaker 1: he wasn't Michael Jordan, but nobody said he was right.

779
00:42:45,280 --> 00:42:47,960
Speaker 1: The point was he was bringing new interest and new

780
00:42:47,960 --> 00:42:52,279
Speaker 1: eyeballs to an entertainment endeavor, which is what sports is,

781
00:42:52,360 --> 00:42:55,200
Speaker 1: as you will know, but an entertainment endeavor. So in

782
00:42:55,239 --> 00:42:58,319
Speaker 1: this case, the fact that there is resentment, like I said,

783
00:42:58,440 --> 00:43:00,640
Speaker 1: it just comes from such a loser mentality.

784
00:43:01,320 --> 00:43:04,080
Speaker 2: I also think this is an important time and I've

785
00:43:04,080 --> 00:43:07,080
Speaker 2: been making this argument for it feels like fifteen years.

786
00:43:07,800 --> 00:43:11,440
Speaker 2: You mentioned the reverse racism idea. I would love for

787
00:43:11,520 --> 00:43:15,920
Speaker 2: a politician to just come out and say, white people,

788
00:43:16,400 --> 00:43:20,080
Speaker 2: Asian people, black people, Hispanic people.

789
00:43:20,280 --> 00:43:22,120
Speaker 1: Every race has racist.

790
00:43:22,880 --> 00:43:26,720
Speaker 2: The only way we define racism in America is white

791
00:43:26,760 --> 00:43:30,360
Speaker 2: too black. And when you create a world white against

792
00:43:30,400 --> 00:43:33,279
Speaker 2: everybody else, actually, yeah, well but primarily white to black.

793
00:43:33,320 --> 00:43:35,880
Speaker 2: But yes, white people are the only racist in the

794
00:43:35,920 --> 00:43:39,560
Speaker 2: way we talk about racism in America. That has not

795
00:43:39,760 --> 00:43:43,480
Speaker 2: been my experience. And I think if you're around our age,

796
00:43:44,280 --> 00:43:48,600
Speaker 2: you have lived long enough to have met people who

797
00:43:48,800 --> 00:43:55,520
Speaker 2: are racist across every racial group, right, And the fact

798
00:43:55,600 --> 00:43:58,279
Speaker 2: that we can't have a conversation about that, to me,

799
00:43:58,440 --> 00:44:01,359
Speaker 2: this is evidence of what's going on with Clark. She's

800
00:44:01,400 --> 00:44:05,040
Speaker 2: actually the minority here. She's the white girl in a

801
00:44:05,080 --> 00:44:09,120
Speaker 2: predominantly black league. She is the straight girl in a

802
00:44:09,200 --> 00:44:15,800
Speaker 2: predominantly lesbian league. She is the minority. The white heterosexual

803
00:44:15,880 --> 00:44:20,160
Speaker 2: girl is the minority, and the majority is ganging up

804
00:44:20,160 --> 00:44:25,040
Speaker 2: against her. And I think that story it blows people's

805
00:44:25,160 --> 00:44:28,760
Speaker 2: minds because they've We've been so conditioned for so long

806
00:44:29,600 --> 00:44:31,840
Speaker 2: to follow what I would say. Buck is the TA

807
00:44:31,920 --> 00:44:35,920
Speaker 2: Kill a Mockingbird storyline, great novel, go read it, Harper Lee.

808
00:44:36,400 --> 00:44:41,440
Speaker 2: But the idea is white woman is the liar, black

809
00:44:41,480 --> 00:44:45,720
Speaker 2: man is the victim. We've been so conditioned to see

810
00:44:46,120 --> 00:44:51,200
Speaker 2: that white racism against black which is a redress for

811
00:44:51,600 --> 00:44:56,560
Speaker 2: generations of racism. But if you are around our age,

812
00:44:57,239 --> 00:44:59,680
Speaker 2: if you grew up in the eighties, the nineties, the

813
00:44:59,760 --> 00:45:04,320
Speaker 2: earth two thousands, I legitimately believe if you're around forty

814
00:45:04,400 --> 00:45:07,680
Speaker 2: years old, you didn't grow up in a segregated South.

815
00:45:08,400 --> 00:45:12,200
Speaker 2: You didn't grow up in a Jim Crow America. Most

816
00:45:12,239 --> 00:45:16,520
Speaker 2: people born from nineteen eighty ish on have grown up

817
00:45:16,560 --> 00:45:23,040
Speaker 2: in a fairly egalitarian, equality drenched society. And what happened

818
00:45:23,080 --> 00:45:27,080
Speaker 2: post Obama was people said, oh, well, everything is not

819
00:45:27,200 --> 00:45:31,239
Speaker 2: a perfect reflection of the racial population in America, so

820
00:45:31,320 --> 00:45:35,799
Speaker 2: that must be because of racism. I just fundamentally reject that,

821
00:45:36,560 --> 00:45:40,160
Speaker 2: and so we moved from equality to equity. And I

822
00:45:40,160 --> 00:45:43,520
Speaker 2: think this Caitlin Clark connection is actually part of a

823
00:45:43,600 --> 00:45:47,320
Speaker 2: larger conversation that we should be having where she's getting

824
00:45:47,800 --> 00:45:52,200
Speaker 2: legitimately bullied and beaten up because of her race and

825
00:45:52,239 --> 00:45:52,800
Speaker 2: her gender.

826
00:45:53,200 --> 00:45:55,920
Speaker 1: I mean, you can you can take race out of

827
00:45:55,920 --> 00:46:00,279
Speaker 1: this and sexual orientation out of this entirely because I

828
00:46:00,320 --> 00:46:02,759
Speaker 1: watch I have always played and watched tennis since I

829
00:46:02,840 --> 00:46:05,480
Speaker 1: was very young, and so I'm very familiar with tennis.

830
00:46:05,840 --> 00:46:08,640
Speaker 1: There was a time when Anna Kornakova was the highest

831
00:46:08,640 --> 00:46:12,040
Speaker 1: paid female tennis player in the world and I believe

832
00:46:12,080 --> 00:46:14,920
Speaker 1: the highest paid female athlete in the world. And I

833
00:46:14,920 --> 00:46:17,440
Speaker 1: think around that time she was ranked number like seventy

834
00:46:17,640 --> 00:46:18,480
Speaker 1: for women's tennis.

835
00:46:18,640 --> 00:46:20,600
Speaker 2: I think she got up to like the top fifteen

836
00:46:20,719 --> 00:46:23,360
Speaker 2: in her career best possib that was the highest ever class.

837
00:46:23,360 --> 00:46:26,320
Speaker 1: She was usually like barely in the top Sea's.

838
00:46:25,960 --> 00:46:29,359
Speaker 2: Gorgeous for people who don't remember Anna Kornakova, which looks

839
00:46:29,440 --> 00:46:31,600
Speaker 2: like she looks like a swimsuit model, like you know,

840
00:46:31,680 --> 00:46:32,160
Speaker 2: that was.

841
00:46:33,600 --> 00:46:36,239
Speaker 1: Yes, you know, yeah, and and you know she was

842
00:46:36,280 --> 00:46:39,200
Speaker 1: making tens of millions of dollars a year in endorsements.

843
00:46:39,239 --> 00:46:42,279
Speaker 1: Now I understand that people could say, well, that's not fair.

844
00:46:42,320 --> 00:46:44,040
Speaker 1: The number one female tennis player in the world should

845
00:46:44,040 --> 00:46:46,040
Speaker 1: be making the most money. However, if you were to

846
00:46:46,080 --> 00:46:51,279
Speaker 1: look as a business at the increased attention, viewership and

847
00:46:51,360 --> 00:46:56,080
Speaker 1: sponsor dollars into women's tennis, women's tennis now is really

848
00:46:56,080 --> 00:46:57,440
Speaker 1: one of the I think. I don't know if there

849
00:46:57,480 --> 00:46:59,480
Speaker 1: is another sport quite like this, you'd have to tell me.

850
00:47:00,080 --> 00:47:03,280
Speaker 1: But in the biggest you know, the US Open, for example,

851
00:47:03,760 --> 00:47:07,680
Speaker 1: parody in the purse between men's and women's. Yeah, you know,

852
00:47:07,840 --> 00:47:08,920
Speaker 1: you could say, I think that's it.

853
00:47:08,960 --> 00:47:11,120
Speaker 2: I mean now they have more so in soccer now

854
00:47:11,200 --> 00:47:12,920
Speaker 2: because of the way they thought about it.

855
00:47:12,920 --> 00:47:15,399
Speaker 1: But well, that's just socialism though, Like people really do

856
00:47:15,480 --> 00:47:18,160
Speaker 1: watch women's tennis in huge number, Like the women's final

857
00:47:18,200 --> 00:47:21,120
Speaker 1: at the US Open is not something It's not like doubles,

858
00:47:21,160 --> 00:47:23,240
Speaker 1: which I feel sad, but like no one really watches doubles.

859
00:47:23,360 --> 00:47:27,800
Speaker 2: Serena was way more popular than any men's American tennis player.

860
00:47:27,880 --> 00:47:30,360
Speaker 1: Yes, I mean, I don't even know hundreds of millions

861
00:47:30,400 --> 00:47:33,600
Speaker 1: of dollars. So I'm just saying there are times when

862
00:47:33,600 --> 00:47:37,440
Speaker 1: your sport, when your enterprise gets attention and dollars that

863
00:47:37,480 --> 00:47:40,759
Speaker 1: will benefit everybody. But a short sighted view and a

864
00:47:40,840 --> 00:47:44,600
Speaker 1: view based and resentment can make that more difficult. And

865
00:47:44,640 --> 00:47:46,640
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