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Speaker 1: Welcome in our number two Clay Travis Buck Sexton Show.

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Speaker 1: We appreciate all of you hanging out with us. Buck

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Speaker 1: is at Kennedy Space Center hanging out with Pete hag Seth,

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Speaker 1: Secretary of War and the new head of NASA, Jared Isaacman.

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Speaker 1: I believe as his name. Team can correct me if

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Speaker 1: I blew that or not. Andy said that we may

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Speaker 1: be invited to watch a spaceship take off on the

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Speaker 1: trip to the Moon. That's pretty fun, So thanks to

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Speaker 1: Buck for running around there as we get ready for

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Speaker 1: I believe it's Artemis two, which is going to be

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Speaker 1: the next big NASA departure that is scheduled to travel

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Speaker 1: around the Moon. We will find out all the details

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Speaker 1: on Buck's trip tomorrow when he will be back in

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Speaker 1: studio with us. I am out in Los Angeles right now.

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Speaker 1: I'm in California for the week, and so I'm hanging

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Speaker 1: out with a lot of you who are behind enemy lines.

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Speaker 1: It feels like one of our biggest audiences, not surprisingly

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Speaker 1: on the rate.

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Speaker 2: Maybe it does surprise some of you.

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Speaker 1: Partly it's a function of population, but one of my

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Speaker 1: favorite stats, Blue People's Mind, didn't happen in twenty twenty four.

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Speaker 1: But more people in California voted for Donald Trump in

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Speaker 1: twenty twenty than voted for Donald Trump in Texas. Let

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Speaker 1: me repeat that. A lot of people say now again,

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Speaker 1: partly it's a function of the population, but I think

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Speaker 1: it goes to show how many people are behind enemy

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Speaker 1: lines here. In the twenty twenty election, more people voted

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Speaker 1: for Donald Trump in California than voted for Donald Trump

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Speaker 1: in Texas. Everybody thinks of Texas deep red state and

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Speaker 1: thinks of California as a deep blue state. But I

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Speaker 1: do think it's always worth keeping in mind that whatever

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Speaker 1: political persuasion you have, in most parts of the country,

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Speaker 1: at most it's sixty five, thirty five, sixty.

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Speaker 2: Forty in one way or the other.

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Speaker 1: Even Wyoming and West Virginia, which are the two biggest

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Speaker 1: Trump states in the country, have thirty percent Blue voters.

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Speaker 1: Now they're drastically overwhelmed. But no matter what state you

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Speaker 1: live in, I do think it's worth remembering that there

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Speaker 1: are lots of people that agree with you. Even if

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Speaker 1: we generally speaking say red or blue states, there are

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Speaker 1: still a lot of people in California behind enemy lines,

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Speaker 1: so to speak. Okay, so we just played you the

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Speaker 1: cut as we went to break of a Rolling Stone

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Speaker 1: reporter asking Jelly Roll the entertainer, what he thought about

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Speaker 1: the anti ice comments from one of the entertainers, Billie Eilish,

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Speaker 1: among others, who were just ripping Ice to shreds last

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Speaker 1: night during the Grammys, And I said, I want to

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Speaker 1: take you behind the scenes and let you know exactly

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Speaker 1: what's going there on there, because once you see it,

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Speaker 1: I think you'll be able to understand even more so

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Speaker 1: how this narrative story is created.

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Speaker 2: So we have historically.

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Speaker 1: Opinion people and we have newspeople, right, that is the

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Speaker 1: general concept, and it's designed in a way so that

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Speaker 1: old school, if you were in the newspaper, the front

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Speaker 1: part of the newspaper you would read would theoretically be

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Speaker 1: the news, the facts, what actually happened, laying it out

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Speaker 1: for you so that you could understand what exactly was

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Speaker 1: going on. And then in the back you would have

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Speaker 1: the editorial pages where you would have columnists or opinion

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Speaker 1: guest op ed writers. They would tell you what they

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Speaker 1: think of the news. And so there was a difference

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Speaker 1: between news and opinion. And then the Internet happened, and

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Speaker 1: in the Internet, something really interesting happened. And I've written

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Speaker 1: a lot about this, and if you're really fascinated by it,

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Speaker 1: you should go read some of my books. But I

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Speaker 1: think you're going to understand, and I think it's important

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Speaker 1: for you to understand how everything is shifted back in

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Speaker 1: the day media companies, most of them and a lot

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Speaker 1: of them still do like this show, for instance. But really,

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Speaker 1: in media, there's only two ways to make money. There's

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Speaker 1: only two ways that you really make money in media.

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Speaker 1: One is advertising. If you listen to this radio program,

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Speaker 1: the reason why this radio program makes money is advertising.

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Speaker 1: We have commercial reads, people who want to reach you

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Speaker 1: with their product. They pay iHeart and buck and I

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Speaker 1: talk to you. And the way that this show makes

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Speaker 1: money is advertising dollars, which is why we say we

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Speaker 1: always want you to support the advertisers here because they

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Speaker 1: are the reason that this show exists. Okay, so advertising,

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Speaker 1: and it's been an advertising media dominated industry for a

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Speaker 1: long time, but of late, subscriptions have come in and

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Speaker 1: subscriptions have changed the way that media operates because subscrip

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Speaker 1: rip basically fuel everything. At the New York Times, at

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Speaker 1: the Washington Post, subscriptions are the reason now that they

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Speaker 1: make money. And if you think about when most of

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Speaker 1: us grew up, if you got a newspaper, and I

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Speaker 1: got three of them printed for myself this morning, I

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Speaker 1: may be the only person in America who's got the

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Speaker 1: Wall Street Journal, the LA Times, and the New York

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Speaker 1: Times sitting in front of him in print right now.

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Speaker 1: When I was on my Southwest Airlines flight last night,

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Speaker 1: I got on with a bunch of newspapers, and the

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Speaker 1: flight attendant said, do you know how long it's been

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Speaker 1: since I've seen anybody old school with actual newspapers.

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Speaker 2: I am the last print reader.

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Speaker 1: What made money back in the day for newspapers, they

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Speaker 1: made money by delivering ads to you, and the way

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Speaker 1: that they charged more money. Think about it from a

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Speaker 1: business perspective. The only reason the newspaper existed was to

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Speaker 1: deliver ads to your front porch. All of the articles

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Speaker 1: were the reason that you might buy the newspaper. And remember,

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Speaker 1: back in the day, classified advertisements was the place that

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Speaker 1: newspapers made the most money in Craigslist destroyed that business,

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Speaker 1: but primarily they didn't make money off subscriptions. They would

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Speaker 1: give you the newspaper for free, often if they knew

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Speaker 1: that you would read it. Remember USA today, probably the

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Speaker 1: worst newspaper that exists in America.

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Speaker 2: Today.

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Speaker 1: You stayed in a hotel room, you got a USA today.

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Speaker 1: It was the nation's most widely distributed newspaper. Mostly trash,

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Speaker 1: but the entire business model was we want to get

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Speaker 1: the newspaper in front of you. And then the advertising

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Speaker 1: market collapsed to a large extent because classified ads, which

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Speaker 1: were the most valuable part for newspapers, it collapsed. Most

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Speaker 1: people don't get print newspapers anymore. I'm old school I do.

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Speaker 1: And as if that were not bad enough, the internet

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Speaker 1: dollars who were advertising were a pinprick of what you

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Speaker 1: could get in print advertising. Why because back in the

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Speaker 1: day you used to be able to restrict how many

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Speaker 1: ads you could have in a newspaper. Write a full

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Speaker 1: page ad in a newspaper, there's only so many of them.

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Speaker 1: Same thing for magazine. Okay, I'm giving you the history

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Speaker 1: of media here and explaining what's happening. So they had

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Speaker 1: to shift and they had to become subscription based businesses.

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Speaker 1: Advertising doesn't work for many of these media companies anymore.

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Speaker 1: New York Times, LA Times, Wall Street Journal, when they

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Speaker 1: were trying to reach the broadest possible audience. They at

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Speaker 1: least had to have some modicum of even handedness, because

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Speaker 1: you wanted to reach everybody, Democrat, Republican, independent, in all honesty,

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Speaker 1: The New York Times wanted to sell to everybody, The

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Speaker 1: LA Times, the Wall Street Journal. Okay, when they shifted

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Speaker 1: to a subscription model, then people only wanted to hear

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Speaker 1: good things about their favorite team. So all of these newspapers,

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Speaker 1: they no longer break news. They're just propaganda because they

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Speaker 1: shifted from ad to subscription based businesses. What is one

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Speaker 1: way I talked about the news in the front of

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Speaker 1: the newspaper the opinion in the back. Reporters are becoming

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Speaker 1: least less and less valuable, but many of them are

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Speaker 1: super political in nature. The idea of a one hundred

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Speaker 1: percent unbiased reporter has mostly blown up in social media

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Speaker 1: because you've seen the way that these people behave. But

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Speaker 1: most of them don't have very substantial audiences, and most

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Speaker 1: of them want to be in the opinion business.

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Speaker 2: But they're in the news business.

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Speaker 1: So how do they get to the actual opinion side.

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Speaker 1: They ask slanted questions that allow them to use the

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Speaker 1: answers they get that have the opinions that they have

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Speaker 1: they slant it? Can I play the jelly roll question

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Speaker 1: again for you? I want you to listen to this.

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Speaker 1: This is a Rolling Stone reporter. She's supposed to be

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Speaker 1: there just covering the news. She wants Ice to be

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Speaker 1: ripped by a celebrity who is more famous than her

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Speaker 1: so that her news story can be celebrity rips Ice.

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Speaker 1: Listen to that question again.

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Speaker 3: We just had Billie eilish Win and she mentioned in

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Speaker 3: her speech.

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Speaker 2: She talked about this topic that's so big tonight.

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Speaker 1: Would you be willing to comment on what's going on

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Speaker 1: in our country right now? Would you be willing to

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Speaker 1: say what I'm not allowed to say because I'm an

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Speaker 1: unbiased newscaster jelly Roll? Will you say what I wish

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Speaker 1: I could say? And it's happening in sports and there's

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Speaker 1: almost no pushback. Well, we've started to push back. Steve

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Speaker 1: Kerr said, for those of you who do not know,

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Speaker 1: he is the Golden State Warriors coach. He said that

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Speaker 1: Ice was isn't arresting any violent criminals recently in a

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Speaker 1: press conference. Well OutKick, the site that I sold to

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Speaker 1: Fox got credentialed, went to a Golden State Warrior game

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Speaker 1: and asked this question this weekend of Steve Kerr holding

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Speaker 1: him accountable for the lies that he told. This is

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Speaker 1: what we need more of if celebrities are going to

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Speaker 1: decide that they are going to be outspoken when it

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Speaker 1: comes to politics.

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Speaker 4: Listen, I definitely misspoke, and I knew that ICE was

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Speaker 4: arresting some criminals, and I think I immediately regretted it because

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Speaker 4: I knew that a few case. But my point is

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Speaker 4: that they're also arresting people and detaining citizens and people

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Speaker 4: who should not be being detained, and I'm as both, and

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Speaker 4: so I apologize for the misinformation. So I hope everybody

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Speaker 4: else out there who's saying stuff that's not true please

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Speaker 4: apologize too.

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Speaker 2: You did highlight that, missus.

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Speaker 4: I addressed everything I wanted to address in Minneapolis. But

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Speaker 4: I am glad you said that because that was false

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Speaker 4: what I said, and so I want to correct that

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Speaker 4: for the record.

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Speaker 1: So thank you, okay, and we'll get I'd like to

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Speaker 1: grab the question that Dan zach Shesky, who is an

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Speaker 1: OutKick reporter, asked for Doc Rivers, and then also the

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Speaker 1: question that Alejandro Vila asked there of Steve Kerr, because

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Speaker 1: I think the questions are important but Steve Kerr actually apologized.

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Speaker 1: He apologized for being inaccurate. Now, Doc Rivers is the

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Speaker 1: coach of the Temper of the Bucks up in Many

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Speaker 1: Up in Milwaukee, and he was asked about the fact

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Speaker 1: that he said ice agents are committing murder, and he

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Speaker 1: actually doubled down on it.

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Speaker 2: Listen to this.

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Speaker 5: A few weeks ago, you said the shooting of Vernet

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Speaker 5: Good in Minnesota was quote, a straight up murder, and

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Speaker 5: you called the browner eye situation a quote Travis. Now

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Speaker 5: that some time has passed, do you still stand by

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Speaker 5: those words? And when you said murder, can you explain

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Speaker 5: if you meant that in the legal sense or as

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Speaker 5: a moral condemnation of the situation.

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Speaker 6: And I don't change that at all. I look at

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Speaker 6: our league, look at the NBA. We're celebrating pioneers day

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Speaker 6: to day, right And I look at our league and

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Speaker 6: I think Elijah One could have been taken off the streets,

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Speaker 6: but we would right now the way brown people feel,

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Speaker 6: only the brown people would be taken off the streets.

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Speaker 6: And it's just not right and it's not morally right.

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Speaker 1: Okay, So Doc Rivers is a moron, but you have

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Speaker 1: to push back on these narratives, because what the reporters

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Speaker 1: are doing who sit in those newsrooms is they're asking

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Speaker 1: left wing coded questions. They're getting famous people like Doc River,

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Speaker 1: Steve Kurge, Elley Roll, whoever it is, to say what

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Speaker 1: they wish they could say, and then they are covering

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Speaker 1: it as quote unquote news. So they're claiming that this

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Speaker 1: is not opinion based media. Now here's something else that's

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Speaker 1: interesting about this, and I think it's so important. Most

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Speaker 1: of those answers don't get covered. Steve Kerr's apology, almost

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Speaker 1: no news site covered it, but they all covered him

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Speaker 1: saying that ICE was only arresting five year olds and

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Speaker 1: wasn't arresting violent criminals. Doc Rivers doubling down on murder.

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Speaker 1: The New York Times covered it, Steve Kerr saying, hey,

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Speaker 1: I apologize for getting that wrong. The New York Times

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Speaker 1: didn't cover it. What they select as quote unquote news

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Speaker 1: is actually the foundation of opinion based journalism. They're disguising

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Speaker 1: everything that is actually opinioned as news, and they're cloaking

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Speaker 1: it in far left wing media because that's what their

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Speaker 1: subscribers want. You don't want to subscribe to The New

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Speaker 1: York Times and find out that your political views aren't true.

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Speaker 1: You want to subscribe to the Washington Post and find

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Speaker 1: out that everything you believe about awful Nazi conservatives is

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Speaker 1: actually true. These organizations, in leaving advertising and moving to

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Speaker 1: subscription based businesses, have actually wildly polarized their audiences because

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Speaker 1: subscribers overwhelmingly index far left wing, and what might have

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Speaker 1: been somewhat at least of an organization that attempted to

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Speaker 1: try and bring actual news has now just become left

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Speaker 1: wing propaganda. Now there's not really right wing equivalents to

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Speaker 1: The New York Times or the Washington Post, and that's

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Speaker 1: sometimes why it feels like metaphorically conservative ideas are so

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Speaker 1: overwhelmingly out gunned. We'll talk about this when we come back.

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Speaker 1: I'll take some of your calls. By the way, we're

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Speaker 1: going to be joined by Todd Ricketts. I bet he

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Speaker 1: has some thoughts on this. At the bottom of the hour,

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Speaker 1: he owns the Chicago Cubs and he's trying to create

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Speaker 1: media companies that have more balance. Will at work. We

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Speaker 1: will discuss, but I want to tell you all about

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Speaker 3: Code Clay stories are freedom stories of America, inspirational stories

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Speaker 1: Welcome Back in Clay, Travis buck sexty Show. I wanted

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Speaker 1: to play as we get ready for Todd Ricketts, who

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Speaker 1: I bet has actually quite a bit of thoughts about

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Speaker 1: what I just laid out. I wanted to play the

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Speaker 1: question that was asked that I thought did a really

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Speaker 1: good job of holding these guys accountable, that almost no

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Speaker 1: one else will ask.

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Speaker 2: And this is cut thirty. This is what it sounded like,

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Speaker 2: Vandre fromoutkicked dot com.

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Speaker 7: So, going back to the situation in Minneapolis.

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Speaker 8: And some of the comments that were made there, so I.

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Speaker 7: Know you had mentioned that you know ICE isn't rooting

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Speaker 7: out violent criminals, but as he said, taking five year olds,

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Speaker 7: since we know that ICE has indeed arrested violent criminals,

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Speaker 7: and perhaps some of those statements could be seen it's

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Speaker 7: this informed or possibly divisive.

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Speaker 2: What would you say to that.

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Speaker 1: Okay, that's a perfect question. Nobody else will ask it.

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Speaker 1: Steve Kerr ripped iced shreds said that they're only arresting

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Speaker 1: five year olds, they're not arresting violent criminals, and no

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Speaker 1: one in that room would ask the question or call

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Speaker 1: him out on the inaccuracy. Alejandro Avila, for OutKick just

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Speaker 1: did it. I wanted to play that question. This is

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Speaker 1: what we need more of. That's what actual journalism would

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Speaker 1: look like. Hear what somebody's opinion is, push back when

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Speaker 1: they're wrong and hold them accountable for it.

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Speaker 2: That is what we need more.

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Speaker 1: Uh, That's how I think the country could use real journalism. Look,

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Speaker 1: I want to tell you gold prices have been skyrocketing.

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Speaker 1: if you want to protect yourself with a metal that

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Speaker 1: has been used for value for thousands of years, gold

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Speaker 1: find out if gold makes sense in your portfolio. It

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Speaker 1: does Clay nine eight nine eight nine eight. Welcome back

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Speaker 1: in Clay Travis buck Sexton Show. We are joined now

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Speaker 1: by a guy who's probably ready for Major League Baseball

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Speaker 1: season to be back. He is Todd Ricketts, a co

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Speaker 1: owner of the Chicago Cubs, and he's got something that

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Speaker 1: I think is super important that he's focused on how

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Speaker 1: technology is biased, in particular Google and big Tech. And

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Speaker 1: let me tell you a story here that kind of

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Speaker 1: goes to that. When we had Donald Trump on my

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Speaker 1: sports talk radio show for the first time, mister Ricketts

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Speaker 1: back in July of twenty twenty, we had him on

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Speaker 1: and did the interview sports talker radio show, wrote it

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Speaker 1: up at OutKick, and overnight our Facebook traffic and our

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Speaker 1: Google traffic vanished. We lost eighty percent of our traffic. Basically,

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Speaker 1: I've testified under oath about it, and it was entirely

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Speaker 1: because we had a lot of positive things that were

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Speaker 1: written about Donald Trump and the algorithm that they that

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Speaker 1: they create it disfavored us, and I don't think most

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Speaker 1: people understand and you're focused on this just how rigged

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Speaker 1: big tech can be in favor of left wing politics.

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Speaker 1: What have you seen and what are you trying to do?

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Speaker 1: And thanks for joining us?

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Speaker 8: Well, thanks for having me today. And that's that's actually

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Speaker 8: a fascinating story he's just told there. Uh really, I

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Speaker 8: started off with We Spoke coming at this from not

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Speaker 8: actually having hard data like you just mentioned, but really

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Speaker 8: just a hunch when I would search for things in Google,

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Speaker 8: I was thinking the results I was getting were not

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Speaker 8: the results I expected, and so I kind of went

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Speaker 8: down this like this rabbit hole of saying right the

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Speaker 8: left or the left is running big tech. And I

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Speaker 8: think there's kind of two aspects of it. There's the

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Speaker 8: there's the guys that work in the you know, in

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Speaker 8: the field, like their programmers at Google, that are just

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Speaker 8: naturally left leaning. And then there's the little bit of

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Speaker 8: institutional left leaning from right the executives. And what happens

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Speaker 8: is you end up having right these these outcomes that

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Speaker 8: are trying to let leaning. And so we started Free

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Speaker 8: Spoke not to be a right leaning searcheon, but we said,

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Speaker 8: you know, what we want to do is we want

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Speaker 8: to put somebody out there that is just trying to

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Speaker 8: give good results and balancing all the information that you

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Speaker 8: have out there. And so we sort of free spoke

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Speaker 8: to be try to be fair, to try to show

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Speaker 8: everything and not suppress any sort of information, whether it

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Speaker 8: be labeled misinformation or or whatnot. And so we kind

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Speaker 8: of we came at that and then like since then,

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Speaker 8: we've discovered that Google most definitely has been left leaning.

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Speaker 8: Yeah they counts. For a long time they said they

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Speaker 8: were not, but then you know, you hear like the

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Speaker 8: executive director from the UN on climate change talking about

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Speaker 8: how they work with Google to suppress any sort of right,

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Speaker 8: you know, any sort of thinking on climate change that

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Speaker 8: goes against the narrative. And then you saw, I think

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Speaker 8: you had Eric Schmidt talking about how, you know, the

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Speaker 8: Biden administration worked with the big tech companies to suppress

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Speaker 8: anything that was anti vaccine, and you know, the list

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Speaker 8: kind of just goes on and on and on. And

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Speaker 8: so what we've done at prespoke is try to create

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Speaker 8: a search engine and then the way the world is evolving,

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Speaker 8: i'd call it more a little more of an AI

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Speaker 8: digital news assistant to help you sort through everything that's

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Speaker 8: out there, to help you form your own opinion, and

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Speaker 8: that's really what we're going for at Freespoke.

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Speaker 1: I think that's super important because the search engine is

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Speaker 1: now becoming diminished through AI because so many people, my

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Speaker 1: kids included, just pull their phones out and go to

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Speaker 1: AAI location, whether it's chat GPT, whether it's groc on Twitter.

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Speaker 1: So how do you balance that as you move forward?

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Speaker 1: Because Google's power may be diminishing, but Google has their

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Speaker 1: own AI device. I'm sure you're having to evolve in

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Speaker 1: real time. Where back in the day, somebody would sit

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Speaker 1: down in front of a computer or even on their

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Speaker 1: phone and type in a query to try to find information.

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Speaker 2: Now it's moved from the traditional search.

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Speaker 1: Engine to this AI device, and arguably, I would think

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Speaker 1: the algorithms that are powering AI are even more impactful

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Speaker 1: going forward, uh than search as men.

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Speaker 8: Yeah, that's you're one hundred percent right there. And really

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Speaker 8: what we've seen is that people are shifting away from

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Speaker 8: We're away from Google to your chat GPTs. But again,

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Speaker 8: the chat GPTs have like their biases built into them

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Speaker 8: as well, So we've built our own competitor that if

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Speaker 8: you go to free spoke and you search for things,

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Speaker 8: it has you know, an agentic AI sort of interface

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Speaker 8: where you can ask ask the question, get get an

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Speaker 8: AI answer, and then kind of elaborate that The build

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Speaker 8: just like you do in the chat GPT sort of environment.

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Speaker 8: But what we've tried to do is like we've tried

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Speaker 8: to train our AI to be really I say, just

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Speaker 8: the facts, ma'am. We try We're trying not to lean anywhere.

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Speaker 8: We try to get both sides and kind of like

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Speaker 8: show some middle ground is where things overlap. So we've

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Speaker 8: kind of built that same sort of technology. Uh. And

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Speaker 8: then so if you're if you're using chat GPTs and

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Speaker 8: come over to free spoke and try us out and

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Speaker 8: see if you find the difference.

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Speaker 1: We're talking to Todd Ricketts, caller of the Chicago Cubs,

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Speaker 1: co founder of free Spoke, the independent search engine trying

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Speaker 1: to take on Google's political bias and combat big tech censorship.

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Speaker 1: As you well know, it's not only bias, it's also

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Speaker 1: bearing what you can find. And one of the things

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Speaker 1: that's so important is scale and all of these iterations,

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Speaker 1: because the more scale you have, the more success you

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Speaker 1: can build, the better iterations you create. How do you

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Speaker 1: get big enough to make free Spoke be able to

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Speaker 1: build off of the queries that it's getting to build

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Speaker 1: a more efficient sort of reply system.

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Speaker 8: Gosh, that's a great question, and really it is. It

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Speaker 8: is the big obstacle what we're trying to get over.

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Speaker 8: It's like, how do we get out we got there

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Speaker 8: and get people using our products because once they get

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Speaker 8: there and they start using it, they generally stay and

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Speaker 8: they use it more and more and more. And we've

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Speaker 8: got a few million users. But this is the year

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Speaker 8: where we've decided to really go out there and kind

436
00:24:56,400 --> 00:24:58,159
Speaker 8: of advertise a little bit more and try to get

437
00:24:58,400 --> 00:25:02,320
Speaker 8: more users and stick your users. And so it's really

438
00:25:02,440 --> 00:25:04,240
Speaker 8: it is a tough It's a tough market to break

439
00:25:04,280 --> 00:25:05,320
Speaker 8: into though, that's for sure.

440
00:25:06,040 --> 00:25:08,240
Speaker 1: Well, and there's all these obstacles that are built up.

441
00:25:08,280 --> 00:25:11,120
Speaker 1: I mean, there's been a ton of antitrust investigations into

442
00:25:11,160 --> 00:25:14,520
Speaker 1: this because once these organizations get big, they try to

443
00:25:14,600 --> 00:25:17,040
Speaker 1: keep anybody else from being able to get in. Uh,

444
00:25:17,200 --> 00:25:20,159
Speaker 1: and that makes it even more challenging. And again, in

445
00:25:20,200 --> 00:25:22,480
Speaker 1: an AI age, I think it's going to matter even more.

446
00:25:23,080 --> 00:25:25,439
Speaker 1: What are you seeing in terms of youth? Is there

447
00:25:25,480 --> 00:25:29,440
Speaker 1: an understanding among young people that they are being sort

448
00:25:29,480 --> 00:25:34,160
Speaker 1: of sometimes fed false information. How active are young people

449
00:25:34,240 --> 00:25:37,200
Speaker 1: in your experience based on what you're seeing aware of

450
00:25:37,359 --> 00:25:39,440
Speaker 1: how the world is shifting, and not only young people.

451
00:25:39,880 --> 00:25:43,280
Speaker 1: Who's more susceptible to being manipulated in your mind? Is

452
00:25:43,320 --> 00:25:46,200
Speaker 1: that older people? Younger people? The answer is everybody. But

453
00:25:46,240 --> 00:25:48,920
Speaker 1: who are you seeing be the most impacted and maybe

454
00:25:48,960 --> 00:25:49,920
Speaker 1: not even realize it?

455
00:25:50,880 --> 00:25:52,920
Speaker 8: Yeah, I don't know if you can put an age

456
00:25:53,040 --> 00:25:55,240
Speaker 8: range or a type of person. What we what we're

457
00:25:55,320 --> 00:25:58,160
Speaker 8: seeing though, is I think that about a big part

458
00:25:58,200 --> 00:26:00,240
Speaker 8: of like big tech and the social media that we

459
00:26:00,320 --> 00:26:03,040
Speaker 8: have out there. It just reinforces your point of view

460
00:26:03,080 --> 00:26:05,320
Speaker 8: because when you get on an Instagram or a TikTok

461
00:26:05,480 --> 00:26:07,920
Speaker 8: or something and you like, you like something you see,

462
00:26:07,960 --> 00:26:10,240
Speaker 8: you just get more of it. And so what's happening

463
00:26:10,320 --> 00:26:12,800
Speaker 8: is is the algorithms are driving us to the content

464
00:26:12,880 --> 00:26:15,000
Speaker 8: that we like because their whole idea is to keep

465
00:26:15,080 --> 00:26:16,800
Speaker 8: you there, right, So they're not going to show you

466
00:26:16,840 --> 00:26:19,840
Speaker 8: stuff that disagrees with you, and so people are just

467
00:26:19,960 --> 00:26:23,280
Speaker 8: kind of like seed into this echo chamber and that

468
00:26:23,440 --> 00:26:25,800
Speaker 8: it really drives the divide. Just like sometimes if I

469
00:26:25,880 --> 00:26:28,440
Speaker 8: get onto one of these platforms and I'm watching and

470
00:26:28,480 --> 00:26:31,639
Speaker 8: I'm seeing stuff that you know, like identify that I

471
00:26:31,720 --> 00:26:34,080
Speaker 8: identify with, and I'm like, yeah, damn right, And then

472
00:26:34,119 --> 00:26:36,760
Speaker 8: I think, well, my neighbors popping not saying that, yeah,

473
00:26:36,960 --> 00:26:38,800
Speaker 8: And that's what's leading to the divide in this. And

474
00:26:39,200 --> 00:26:41,840
Speaker 8: I think a long time ago, before social media, before

475
00:26:41,880 --> 00:26:45,560
Speaker 8: the technology was so prevalent in our lives, if your

476
00:26:45,600 --> 00:26:49,239
Speaker 8: neighbor didn't agree with you, you didn't necessarily know it, right,

477
00:26:49,320 --> 00:26:52,040
Speaker 8: You get yeers with your neighbors, and your neighbor may

478
00:26:52,160 --> 00:26:54,960
Speaker 8: have some crazy ideas about how the world works, and

479
00:26:55,119 --> 00:26:56,880
Speaker 8: that may be extreme to one way or the other,

480
00:26:57,359 --> 00:26:58,879
Speaker 8: but you didn't always have to talk about it. Like

481
00:26:58,960 --> 00:27:00,680
Speaker 8: you can still have a beer and talk about, you know,

482
00:27:00,760 --> 00:27:02,960
Speaker 8: the favorite sports team or what's going on in the neighborhood.

483
00:27:03,440 --> 00:27:06,480
Speaker 8: But now you can't help but know because either your

484
00:27:06,520 --> 00:27:08,880
Speaker 8: neighbor posting stuff out there and you're like, oh my god,

485
00:27:08,920 --> 00:27:12,200
Speaker 8: I can't believe Bill believes this. And on the subside,

486
00:27:12,240 --> 00:27:14,119
Speaker 8: when he's going there and just you know, kind of

487
00:27:14,200 --> 00:27:17,359
Speaker 8: surfing through social media, he's only saying things that reinforce

488
00:27:17,480 --> 00:27:19,320
Speaker 8: his point of view, not saying things that I kind

489
00:27:19,320 --> 00:27:22,400
Speaker 8: of counter it. Right, I think that's a big issue

490
00:27:22,440 --> 00:27:24,800
Speaker 8: we've had in the country right now, is that that

491
00:27:24,960 --> 00:27:27,800
Speaker 8: divide is getting driven by that. And so if Freespook,

492
00:27:27,840 --> 00:27:29,880
Speaker 8: what we're trying to do, especially on our news side,

493
00:27:30,040 --> 00:27:32,440
Speaker 8: is I kind of show all sides and let you see,

494
00:27:32,560 --> 00:27:35,680
Speaker 8: like what both sides are writing about on the same topics,

495
00:27:36,119 --> 00:27:38,200
Speaker 8: and so then you can see the crossover of like, Okay,

496
00:27:38,240 --> 00:27:40,280
Speaker 8: well the truth probably lies somewhere in between.

497
00:27:41,160 --> 00:27:43,280
Speaker 1: I think that's hugely important. I was making fun of

498
00:27:43,359 --> 00:27:45,920
Speaker 1: myself because I'm the last person who still reads print.

499
00:27:46,040 --> 00:27:47,800
Speaker 1: I'm out in LA right now. I've got the New

500
00:27:47,880 --> 00:27:50,360
Speaker 1: York Times, the La Times, Wall Street Journal in front

501
00:27:50,400 --> 00:27:54,040
Speaker 1: of me. One reason that I love print is serendipity.

502
00:27:54,440 --> 00:27:57,480
Speaker 1: It puts articles that I might not otherwise read in

503
00:27:57,600 --> 00:28:00,480
Speaker 1: front of me because the algorithm only is going to

504
00:28:00,560 --> 00:28:03,080
Speaker 1: give me things that it already knows. I like, but

505
00:28:03,200 --> 00:28:05,120
Speaker 1: there might be things that I want to be exposed

506
00:28:05,160 --> 00:28:06,920
Speaker 1: to that I would never see. And that sounds like

507
00:28:07,000 --> 00:28:08,600
Speaker 1: something you're trying to address with your.

508
00:28:08,560 --> 00:28:11,880
Speaker 8: Product one hundred percent, And I'm going to say I'm

509
00:28:11,880 --> 00:28:13,840
Speaker 8: with you. I actually I still get a hard newspaper

510
00:28:13,920 --> 00:28:17,120
Speaker 8: every day. I like the tactile feeling of plipping through

511
00:28:17,200 --> 00:28:20,040
Speaker 8: the paper itself, as well as what you said about

512
00:28:20,119 --> 00:28:22,040
Speaker 8: like reading articles that you would never think to search

513
00:28:22,080 --> 00:28:23,520
Speaker 8: on or go look for yourself.

514
00:28:24,400 --> 00:28:27,399
Speaker 1: We're talking to Todd Ricketts. Okay, you mentioned sports. You

515
00:28:27,600 --> 00:28:29,680
Speaker 1: are one of the co owners of the Chicago Cubs.

516
00:28:30,040 --> 00:28:34,320
Speaker 1: I'm a big baseball fan, braves fan. Unfortunately for you, competitor,

517
00:28:34,359 --> 00:28:36,439
Speaker 1: but you've got one of the great all time brands

518
00:28:36,520 --> 00:28:40,920
Speaker 1: in sports, the Cubs. You know, Wrigley Field, WGN back

519
00:28:40,960 --> 00:28:44,200
Speaker 1: in the day, nationwide audience. Are you nervous? I'm in

520
00:28:44,360 --> 00:28:47,040
Speaker 1: LA right now. The Dodgers are spending money like crazy.

521
00:28:47,160 --> 00:28:50,720
Speaker 1: The Cubs are a big brand team. But are you

522
00:28:50,800 --> 00:28:53,720
Speaker 1: nervous about where baseball is going when you see the

523
00:28:53,880 --> 00:28:57,200
Speaker 1: contracts that some teams can sign and others cannot, or

524
00:28:57,480 --> 00:28:59,640
Speaker 1: you think it's going to get itself solved? How much

525
00:28:59,680 --> 00:29:00,880
Speaker 1: time do you've been thinking about that?

526
00:29:01,840 --> 00:29:02,000
Speaker 7: You know?

527
00:29:02,200 --> 00:29:04,560
Speaker 8: I think that eventually it's going to get solved. I

528
00:29:04,640 --> 00:29:06,640
Speaker 8: think that at some point we're going to come up

529
00:29:06,680 --> 00:29:09,160
Speaker 8: with a system that that kind of like is a

530
00:29:09,200 --> 00:29:10,840
Speaker 8: little bit more like the other leagues out there, that

531
00:29:10,960 --> 00:29:12,800
Speaker 8: has a little bit more of a hard cap. But

532
00:29:12,920 --> 00:29:15,840
Speaker 8: also I think if you've seen in baseball that you know,

533
00:29:16,000 --> 00:29:19,920
Speaker 8: spending doesn't necessarily equate to championships. I mean it did

534
00:29:20,000 --> 00:29:22,400
Speaker 8: this year for the Dodgers, But historically speaking, you know

535
00:29:22,480 --> 00:29:24,880
Speaker 8: the Yankees, you know, for the last one hundred and

536
00:29:24,960 --> 00:29:27,200
Speaker 8: twenty five years, called it or whatever, the Yankees have

537
00:29:27,280 --> 00:29:30,280
Speaker 8: outspent everybody, but they haven't won the World Series every

538
00:29:30,320 --> 00:29:32,280
Speaker 8: single year. So I think there's a lot of examples

539
00:29:32,360 --> 00:29:36,200
Speaker 8: in baseball where money doesn't equate to World Series championships,

540
00:29:36,880 --> 00:29:41,280
Speaker 8: it certainly helps. So we'll see what We'll see where

541
00:29:41,280 --> 00:29:42,960
Speaker 8: this leads. I think it's going to lead us to

542
00:29:43,040 --> 00:29:44,920
Speaker 8: a place where we get a little bit more of

543
00:29:45,200 --> 00:29:49,400
Speaker 8: a hard cap that will put a little bit of

544
00:29:49,520 --> 00:29:51,560
Speaker 8: balance of talent or at least a balance of money

545
00:29:51,640 --> 00:29:53,479
Speaker 8: out there. But also I looked at I look at

546
00:29:53,520 --> 00:29:55,200
Speaker 8: our team, and I'm like, we have a rock solid team.

547
00:29:55,200 --> 00:29:56,840
Speaker 8: I think we have a really great, a great great

548
00:29:56,880 --> 00:29:59,320
Speaker 8: team coming up this year, and I think we're going

549
00:29:59,360 --> 00:30:01,080
Speaker 8: to make the playoff. You know, knock on wood and

550
00:30:01,520 --> 00:30:02,479
Speaker 8: see where that goes from there.

551
00:30:03,480 --> 00:30:05,640
Speaker 1: For people out there who are listening and they're saying, boy,

552
00:30:05,720 --> 00:30:08,400
Speaker 1: I do need to have a better, more aggressive understanding

553
00:30:08,440 --> 00:30:10,320
Speaker 1: of how things are playing on the internet, tell us

554
00:30:10,400 --> 00:30:12,720
Speaker 1: one more time about your search engine. How they can

555
00:30:12,840 --> 00:30:14,360
Speaker 1: start to use it in their lives.

556
00:30:15,120 --> 00:30:17,160
Speaker 8: Yeah, you can go to free spoke dot com or

557
00:30:17,200 --> 00:30:18,800
Speaker 8: you can go to the app store and download the

558
00:30:18,840 --> 00:30:21,200
Speaker 8: free Spoke app. And really, well, I'll give you each

559
00:30:21,240 --> 00:30:23,120
Speaker 8: morning is like, you know, a whole of this to

560
00:30:23,200 --> 00:30:27,480
Speaker 8: headlines and both sides, like what multiple newspapers are writing

561
00:30:27,560 --> 00:30:29,680
Speaker 8: on the same topic. And I think it'll just really

562
00:30:29,720 --> 00:30:31,600
Speaker 8: help you to inform your opinion. And I think it'd

563
00:30:31,600 --> 00:30:34,000
Speaker 8: be good for our country if everybody spends a little

564
00:30:34,000 --> 00:30:36,280
Speaker 8: time thinking about how the other side thinks and kind

565
00:30:36,320 --> 00:30:37,160
Speaker 8: of bridge that divide.

566
00:30:37,920 --> 00:30:40,440
Speaker 1: Todd Ricketts, co owner of the Chicago Cubs, co founder

567
00:30:40,560 --> 00:30:43,920
Speaker 1: of free Spoke. We appreciate the time pictures and catchers reports.

568
00:30:44,000 --> 00:30:45,000
Speaker 1: Soon it's a good time of year.

569
00:30:45,800 --> 00:30:46,000
Speaker 6: Yep.

570
00:30:46,080 --> 00:30:48,480
Speaker 8: On the eleven. On the eleven's baseball is almost here.

571
00:30:48,480 --> 00:30:48,960
Speaker 8: I can't wait.

572
00:30:49,920 --> 00:30:52,200
Speaker 1: Thank you, sir Todd Ricketts. You can go check out

573
00:30:52,240 --> 00:30:53,840
Speaker 1: freespoke dot com. I'm going to check it out. I

574
00:30:53,880 --> 00:30:57,880
Speaker 1: haven't used it yet, I will, and I'm certainly appreciative

575
00:30:58,000 --> 00:31:00,680
Speaker 1: of the goal there. Look, I want to make sure

576
00:31:00,720 --> 00:31:03,360
Speaker 1: that all of you are able to be safe inside

577
00:31:03,400 --> 00:31:06,520
Speaker 1: your own homes, and that's exactly what Saber does. We

578
00:31:06,680 --> 00:31:10,560
Speaker 1: have every single Saber product in the country. Saber Home

579
00:31:10,600 --> 00:31:15,719
Speaker 1: Defense Launcher delivers seven powerful impact pepper projectiles, non lethal

580
00:31:16,120 --> 00:31:18,840
Speaker 1: but designed to protect people. That's two more than most

581
00:31:18,880 --> 00:31:20,760
Speaker 1: of the competitors out there. Because when you have to

582
00:31:20,800 --> 00:31:23,360
Speaker 1: defend yourself, you want to make sure that you have

583
00:31:23,440 --> 00:31:27,239
Speaker 1: as much possible protection out there. And maybe you got

584
00:31:27,320 --> 00:31:29,640
Speaker 1: young kids, maybe you got grandkids, and you know they

585
00:31:29,760 --> 00:31:31,920
Speaker 1: like to snoop. You know, they like to get into everything.

586
00:31:32,400 --> 00:31:36,040
Speaker 1: Sabers products are all non lethal. They're protective, but they

587
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Speaker 1: are non lethal, whether it's pepper sprays, whether it's the

588
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Speaker 1: projectile launcher. We have every single Saber product in the

589
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Speaker 1: Travis household. You can go check it out for yourself,

590
00:31:45,720 --> 00:31:48,320
Speaker 1: for your kids, for your grandkids, for your peace of mind,

591
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Speaker 1: for your family. Don't wait for a close call. Get

592
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Speaker 1: protection now at saberradio dot com. That's Sabre radio dot com.

593
00:31:57,760 --> 00:32:00,800
Speaker 1: Eight four four eight two four Safe s a b

594
00:32:01,120 --> 00:32:04,440
Speaker 1: r E radio dot com. That's saberradio dot com.

595
00:32:05,560 --> 00:32:09,960
Speaker 2: Two guys walk up to a mic he anything goes.

596
00:32:10,760 --> 00:32:13,120
Speaker 2: Clay Travis and Buck Sexton.

597
00:32:13,560 --> 00:32:16,800
Speaker 3: Find them on the free iHeartRadio app or wherever you

598
00:32:16,960 --> 00:32:18,080
Speaker 3: get your podcasts.

599
00:32:18,520 --> 00:32:22,880
Speaker 1: Welcome back, in Clay Travis buck Sexton Show. They have

600
00:32:22,920 --> 00:32:26,000
Speaker 1: announced Turning Point USA just in the last little bit

601
00:32:26,880 --> 00:32:31,440
Speaker 1: their own lineup for the All American Halftime Show super

602
00:32:31,480 --> 00:32:35,880
Speaker 1: Bowls this weekend and Bad Bunny who loves Ice? Sorry

603
00:32:35,960 --> 00:32:40,880
Speaker 1: hates ice, hates America. These guys probably love ice. This

604
00:32:41,040 --> 00:32:43,640
Speaker 1: is the lineup for what Turning Point USA is calling

605
00:32:43,720 --> 00:32:46,280
Speaker 1: the All American Halftime Show. I don't know how many

606
00:32:46,320 --> 00:32:48,160
Speaker 1: people are gonna turn the channel, But did you know

607
00:32:49,200 --> 00:32:53,280
Speaker 1: the highest rated part of the Super Bowl every year

608
00:32:54,040 --> 00:32:57,080
Speaker 1: is the halftime show. This is you go look at

609
00:32:57,120 --> 00:33:01,680
Speaker 1: the data. Every single year, the super Bowl audience peaks

610
00:33:02,040 --> 00:33:04,720
Speaker 1: at halftime. Now, partly I think this is because people

611
00:33:04,760 --> 00:33:06,960
Speaker 1: have kids. They a lot of people may leave the

612
00:33:07,000 --> 00:33:09,960
Speaker 1: Super Bowl parties at halftime. A lot of people frankly

613
00:33:10,520 --> 00:33:14,120
Speaker 1: only want to watch the commercials and the halftime show.

614
00:33:14,560 --> 00:33:18,680
Speaker 1: Every single year, the audience the most number of people

615
00:33:18,840 --> 00:33:22,280
Speaker 1: watching the Super Bowl, it peaks during halftime. This i'mus.

616
00:33:22,320 --> 00:33:25,800
Speaker 1: I'm curious how many people will change the channel or

617
00:33:26,120 --> 00:33:31,480
Speaker 1: stream maybe on an additional device. Kid Rock Brantley, Gilbert

618
00:33:32,000 --> 00:33:36,400
Speaker 1: Lee Brice, and Gabby Barrett are going to be the

619
00:33:36,640 --> 00:33:41,479
Speaker 1: halftime performers for the All American halftime show. So if

620
00:33:41,520 --> 00:33:43,680
Speaker 1: you don't want to watch Bad Bunny and you want

621
00:33:43,720 --> 00:33:47,360
Speaker 1: to instead watch another halftime show, that is the lineup

622
00:33:47,400 --> 00:33:49,040
Speaker 1: that turning Point USA is gonna put out there.

623
00:33:49,640 --> 00:33:51,440
Speaker 2: My thanks to Todd Ricketts who was just with us.

624
00:33:51,560 --> 00:33:53,360
Speaker 1: I haven't ever met Todd Ricketts, but I think what

625
00:33:53,480 --> 00:33:57,080
Speaker 1: he's trying to do is it directly ties in with

626
00:33:57,200 --> 00:34:00,840
Speaker 1: how I started the second hour of the pro talking

627
00:34:00,920 --> 00:34:05,080
Speaker 1: about the power of so many of these media companies

628
00:34:05,400 --> 00:34:10,120
Speaker 1: and a subscription based era, is they no longer actually

629
00:34:10,239 --> 00:34:13,400
Speaker 1: share any kind of negative story that would make their

630
00:34:13,440 --> 00:34:16,920
Speaker 1: subscribers angry. And the analogy that I use this is

631
00:34:16,960 --> 00:34:20,239
Speaker 1: when I had my light bulb moment go off. I'm

632
00:34:20,239 --> 00:34:24,480
Speaker 1: a big sports fan, obviously, anyone who subscribes to a

633
00:34:24,719 --> 00:34:28,759
Speaker 1: team sports site, some of you do that are out

634
00:34:28,800 --> 00:34:30,759
Speaker 1: there listening right now. If you're a big Notre Dame fan,

635
00:34:30,800 --> 00:34:32,560
Speaker 1: if you're a big an Ohio State fan, if you're

636
00:34:32,560 --> 00:34:35,960
Speaker 1: a big Alabama Crimson Tide fan, usc whoever it is,

637
00:34:37,080 --> 00:34:39,680
Speaker 1: you subscribe to a team site, you pay a monthly

638
00:34:39,760 --> 00:34:42,640
Speaker 1: fee ten dollars a month or whatever it is, and

639
00:34:42,840 --> 00:34:45,320
Speaker 1: you get told that your team is awesome and that

640
00:34:45,440 --> 00:34:49,240
Speaker 1: the recruits are all going to be good. No negative

641
00:34:49,280 --> 00:34:53,040
Speaker 1: story is written, except when coaches get fired. Suddenly, all

642
00:34:53,160 --> 00:34:56,560
Speaker 1: the reporting comes out about things being awful because by

643
00:34:56,600 --> 00:34:59,799
Speaker 1: and large, if you are a subscriber for a fan

644
00:35:00,160 --> 00:35:03,640
Speaker 1: based subscription, you don't want to hear that your team

645
00:35:03,800 --> 00:35:07,080
Speaker 1: stinks the coaching staff is awful. On the message board,

646
00:35:07,120 --> 00:35:08,920
Speaker 1: you may hear that, but you don't want to hear

647
00:35:08,960 --> 00:35:11,160
Speaker 1: that from the people you pay to talk to you

648
00:35:11,520 --> 00:35:12,759
Speaker 1: about your favorite team.

649
00:35:13,640 --> 00:35:15,320
Speaker 2: And I had that light bulb of go off a

650
00:35:15,400 --> 00:35:18,040
Speaker 2: few years ago. I said, oh, my goodness, that's the

651
00:35:18,080 --> 00:35:18,680
Speaker 2: New York Times.

652
00:35:19,719 --> 00:35:26,040
Speaker 1: Subscription based businesses are not honest because fans buy subscriptions.

653
00:35:27,800 --> 00:35:31,880
Speaker 1: People are not seeking negative stories. They want their pre

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00:35:32,120 --> 00:35:37,160
Speaker 1: existing opinions reinforced. The New York Times, the Washington Post,

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00:35:38,320 --> 00:35:44,760
Speaker 1: they moved from entirely ad based businesses to subscription businesses.

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00:35:46,320 --> 00:35:49,239
Speaker 1: I don't believe the Washington Post or The New York

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00:35:49,280 --> 00:35:52,920
Speaker 1: Times now would ever break a Bill Clinton is sleeping

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00:35:53,000 --> 00:35:57,680
Speaker 1: with his intern story because Democrats would be upset. They

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00:35:57,719 --> 00:36:02,520
Speaker 1: wouldn't cover it. So if you ever wonder why how

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00:36:02,640 --> 00:36:06,640
Speaker 1: in the world did Biden not get covered when it

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00:36:06,760 --> 00:36:08,880
Speaker 1: came to his health, the.

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00:36:08,920 --> 00:36:10,640
Speaker 2: New York Times would lose subscribers.

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00:36:11,400 --> 00:36:14,680
Speaker 1: The Washington Post right now is losing subscribers like crazy

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00:36:14,680 --> 00:36:17,120
Speaker 1: because Jeff Bezos, who's so rich he doesn't need to

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00:36:17,160 --> 00:36:20,399
Speaker 1: make money off the newspaper, is just trying to get

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00:36:20,520 --> 00:36:25,400
Speaker 1: back to some form of basic honesty, and the subscribers

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00:36:25,480 --> 00:36:29,160
Speaker 1: every time he does that, they vote in overwhelming numbers.

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00:36:29,280 --> 00:36:33,000
Speaker 1: We don't want this, We want our pre existing opinions reinforced.

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Speaker 1: I'll take some of your calls eight hundred two two

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Speaker 1: two eight a two. You can also get into the

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00:36:36,960 --> 00:36:40,160
Speaker 1: show through talkbacks. We're gonna be joined by Senator Marsha

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00:36:40,200 --> 00:36:43,560
Speaker 1: Blackman at the bottom of the next hour, but we

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00:36:43,680 --> 00:36:48,600
Speaker 1: will dive into census data, Epstein revelations, and the Milania

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00:36:48,719 --> 00:36:52,600
Speaker 1: movie coming out, plus some great data out of Washington,

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Speaker 1: d C.

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Speaker 2: I promise I'm gonna tie it all together next