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Speaker 1: We'll welcome back in Clay Travis buck Sexton show rolling

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Speaker 1: through the Monday edition of the program. Buck We'll be

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Speaker 1: back tomorrow. We are joined now by Missouri Senator Eric Schmidt.

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Speaker 1: Lots going on, Let's just start here, Senator, appreciate you

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Speaker 1: making the time to come on. What is the latest

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Speaker 1: on the on the shutdown. We haven't even really hardly

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Speaker 1: talked about it very much. I know it's going to

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Speaker 1: in theory, be resolved sooner rather than later. But what

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Speaker 1: should we know about the latest details on that rin Yeah.

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Speaker 2: Essentially, last last Friday, the Senate passed out all of

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Speaker 2: the appropriations bills the Democrats in a two week cr

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Speaker 2: for the DHS funding. And that is what's now in

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Speaker 2: front of the House. And so the Democrats, here's my perspective,

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Speaker 2: they want to I want to thank them actually for

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Speaker 2: giving us two weeks now to talk about illegal immigration.

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Speaker 2: I mean, this is a home game, trus and all

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Speaker 2: these ridiculous demands that they have to Ice, they just

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Speaker 2: don't work. It makes it harder for ICE to do

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Speaker 2: their jobs. But what we should be demanding on our end,

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Speaker 2: if we're going to do anything, is ending sanctuary city.

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Speaker 2: That's the root cause of all this play. You don't

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Speaker 2: see this trouble anywhere else in the country of these

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Speaker 2: operations are happening in red states and blue states, except

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Speaker 2: in the sanctuary jurisdictions, where they're making it very difficult

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Speaker 2: for ice officers to do their jobs, and the politicians

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Speaker 2: are fomenting this rage and encouraging people into these confrontations.

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Speaker 2: So the punchline is, my hope is that the House

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Speaker 2: probably tomorrow passes that, and then that continuing resolution will

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Speaker 2: lasts for two weeks. The Democratic Democrats will want some

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Speaker 2: stupid stuff. We'll say no, we want good stuff. They

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Speaker 2: may say no to that, and then we'll fund DHS.

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Speaker 2: The other last thing I'll say is in the working

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Speaker 2: class tax cut from last summer, the one big beautiful

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Speaker 2: bill we front loaded because we knew this was coming

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Speaker 2: front loaded four years, where the funding for deportations in

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Speaker 2: that bill. So the Democrats can wine all they want,

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Speaker 2: but these deportations are going to continue.

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Speaker 1: You're a lawyer, I'm a lawyer. I am totally still

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Speaker 1: in this belief of a couple of things that are

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Speaker 1: that are occurring. And I'll go to the first one.

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Speaker 1: Sanctuary city seem to me to be a flagrant violation

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Speaker 1: of federal law. We have the supremacy clause. How in

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Speaker 1: the world is this even allowed to occur legally?

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Speaker 2: That's a great question. It shouldn't be. But one of

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Speaker 2: the things I think worth pointing out is what we

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Speaker 2: haven't done yet, what I and Sidergramm are proposing when

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Speaker 2: on the floor last week to propose was to say

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Speaker 2: we're going to end thanks for a city that here's

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Speaker 2: how if you're if you're violating federal law, you're going

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Speaker 2: to go to jail. The politicians because they know better.

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Speaker 2: It's obvious, it's clear. You don't get to what they

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Speaker 2: do is clay is they withhold information. Think how ridiculous

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Speaker 2: this is. They really won't tell ICE agents when rapists

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Speaker 2: and child molesters are getting out of prison. That's how

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Speaker 2: messed up this is. They don't even want that because

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Speaker 2: illegal immigration is effectively the Democrats religion. Now everything begins

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Speaker 2: and ends with the idea that they don't actually believe

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Speaker 2: in sovereignty. They don't really believe order should matter. They

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Speaker 2: think anybody can come here and stay as long as

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Speaker 2: they want, and you can't be a sovereign country. No

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Speaker 2: country can if that's what you believe. And so I

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Speaker 2: think we're at a really important moment right now in

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Speaker 2: the history of our country in Republicans cannot yield here,

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Speaker 2: we cannot back down. And that's the role that I'm

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Speaker 2: sort of playing right now.

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Speaker 1: All Right. One other one that I think is significant.

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Speaker 1: We actually had the Attorney General of Missouri on talking

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Speaker 1: about it last week with us, the continued counting, and

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Speaker 1: I think this impacts Missouri certainly when it comes to

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Speaker 1: congressional seats, the continued counting of illegal immigrants for purposes

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Speaker 1: of census. Supreme Court hopefully we'll take this up and

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Speaker 1: give us an answer once and for all, but it

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Speaker 1: artificially creates a great disconnect between where the congressional seats

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Speaker 1: are being allocated. I keep talking about it because I

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Speaker 1: think very few people are actually aware nationwide that illegal

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Speaker 1: immigrants are counted for purposes of the four hundred and

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Speaker 1: thirty five seat House apportionment.

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Speaker 3: Yeah, no, that's right.

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Speaker 2: I'm in the same position with that claim. I don't

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Speaker 2: think a lot of people know that that you don't

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Speaker 2: actually have to be a citizen to be counted in

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Speaker 2: the census, and that effects congressional districts in effects where

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Speaker 2: federal dollars go. There's all sorts of consequences to it.

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Speaker 2: And if we solve that issue, which if you ask

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Speaker 2: a straight up question to the American people, do you

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Speaker 2: believe that illegal immigrants should be counted or should be

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Speaker 2: able to vote? I mean, that's it. We talk about

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Speaker 2: eighty twenty issues. That's a ninety ten issue, and we

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Speaker 2: have to take that on because the Democrats, and that's

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Speaker 2: why ultimately they're losing their minds over the deportations. If

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Speaker 2: you want to really understand why it's about power, they

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Speaker 2: know that if we did things or if we deported

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Speaker 2: people in only counted citizens in this country, the Democrats

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Speaker 2: would be in a I don't want to say a

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Speaker 2: permanent minority, but they wouldn't be able to have these

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Speaker 2: these spells of being a majority party. It's all based on, honestly,

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Speaker 2: why illegal immigrations is so important to them.

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Speaker 1: Okay, let's go into something you and I both love.

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Speaker 1: It's super Bowl week and I know your Chiefs are

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Speaker 1: not going to be in the super Bowl for the

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Speaker 1: first time and what feels like forty years, but college

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Speaker 1: football and college basketball is a complete and total mess.

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Speaker 1: And I ran into you in DC and we talked

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Speaker 1: about it a little bit. Is there a role for

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Speaker 1: the federal government to try and figure out what should

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Speaker 1: happen going forward with college sports? I heard one of

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Speaker 1: your interviews you did recently talking about this and what

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Speaker 1: do you think it should be? How do we fix this?

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Speaker 1: Because I think there's a there's an idea that this

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Speaker 1: is broken, and it's correct that it is broken.

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Speaker 2: Yeah, And I think the way to look at this

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Speaker 2: is so I was skeptical for a long time of

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Speaker 2: Congress playing a role. I think most people would, you know,

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Speaker 2: they love their sports and they don't want Congress to

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Speaker 2: have anything to do with it. But I do think

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Speaker 2: we're approaching a time where Congress needs to come in.

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Speaker 2: And here's why there's been litigation over the last half

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Speaker 2: dozen years or so, or going back a decade on name,

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Speaker 2: image and likeness or effectively college players. Their images were

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Speaker 2: being used for EA sports and they weren't compensated. Maybe

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Speaker 2: they've thrown them a you know, an xbox or something,

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Speaker 2: but they were never being compensated, they never being paid.

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Speaker 2: And I think that was you know, one end of

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Speaker 2: the spectrum that was wrong. As a practical matter, I

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Speaker 2: think these guys should get paid. I think they should

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Speaker 2: be able to transfer probably once, something like that. If

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Speaker 2: the coach leaves, they should be able to leave. Things

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Speaker 2: like that. But basically, these court decisions play have ruled

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Speaker 2: the NCAA totally ineffective, like they can't in the NCU

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Speaker 2: has had a lot of problems, but they can't establish

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Speaker 2: any rules. And so now you have really kind of

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Speaker 2: a wild lest where people are moving every I mean

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Speaker 2: you probably have a player. Really, if you talk to

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Speaker 2: these SEC coaches like you and I do for maybe

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Speaker 2: six months, you're in a constant negotiation. Things are moving,

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Speaker 2: there's agents that are in here that shouldn't be agents.

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Speaker 2: There's there's a lot of bad advice. So there's two

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Speaker 2: aspects of this. The first is governance. In exchange for

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Speaker 2: Congress giving liability protection to the NCAA or some other

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Speaker 2: governing body, they would establish rules of the road. It's

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Speaker 2: like transparency with who the agents are. You have a

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Speaker 2: two year contract, you can transfer once unless a coach leaves.

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Speaker 2: Things like that that make total common sense. There'd be

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Speaker 2: an entity empowered to go do that. The second piece

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Speaker 2: of it is the revenue side, and so a lot

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Speaker 2: of people are talking about this, like, if you think

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Speaker 2: about it, the NBA has half the audience of college football,

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Speaker 2: but twice the revenue the NBA all kind of rights

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Speaker 2: include is about eight billion. If you pool all of

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Speaker 2: college football or all of college football, you're a little

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Speaker 2: short of four billions. Now, if they were able to

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Speaker 2: pool that, like the NFL does, MLB does, the NBA does,

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Speaker 2: they could probably double the revenue that the that the

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Speaker 2: NBA has. And then you solve this really important issue

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Speaker 2: that the Score Act that Cody Campbell's talking about of

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Speaker 2: protecting Olympic sports, protecting the non revenue sports. There's enough

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Speaker 2: money to have those programs in place. College football is

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Speaker 2: the juggernaut here, gobs and gobs more money than they

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Speaker 2: have right now. And I really believe you could probably

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Speaker 2: get to a place where the Big ten and the

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Speaker 2: SEC which are the big dogs in this and rightfully

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Speaker 2: so that they don't feel like they're losing out either,

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Speaker 2: that everybody really benefits. You've got the government side and

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Speaker 2: then you have the revenue side. And the only way

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Speaker 2: that works is if Congress gives them liability protection to

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Speaker 2: go do both of those.

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Speaker 1: Things, and some form of anti trust protection in that context,

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Speaker 1: of liability, right, because otherwise you're getting sued. So is

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Speaker 1: there a bill that's working on that? Because I think

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Speaker 1: a lot of people who are college sports fans are

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Speaker 1: kind of nodding along and saying, yes, this is broken.

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Speaker 1: And I think a lot of people are skeptical that

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Speaker 1: Congress candidly can fix anything. But is there a bill

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Speaker 1: that would fix all of what you just laid out?

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Speaker 1: What's the process?

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Speaker 2: Yeah, and first and foremost, you know we're talking about Obviously,

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Speaker 2: I have a passion for sports so to use, so

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Speaker 2: this is stuff that I actually love. I don't know

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Speaker 2: a bunch of politicians messing this up either. But the

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Speaker 2: only entity in our country that can give the anti

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Speaker 2: trust to you know, sort of accept exemption that effectively

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Speaker 2: MLB and NFL has to bargain with with rights holders

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Speaker 2: is Congress. So Congress, if you're going to fix it,

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Speaker 2: has some role in at least allowing them to go

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Speaker 2: negotiate what this thing looks like. So there's the Store Act,

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Speaker 2: which really deals with the governance piece. Its Hey, let's

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Speaker 2: protect you know, these Olympic sports and all these other

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Speaker 2: non revenue sports by having certain rules. You have transparency,

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Speaker 2: you have contracts, things that are kind of like basic governance.

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Speaker 2: And then you know, something that a lot of us

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Speaker 2: are looking at, including me being on the Commerce Committee,

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Speaker 2: is how do you address that revenue side, how do

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Speaker 2: you allow the NCAA or how do you love college

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Speaker 2: football really effectively to go negotiate, get a lot more money,

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Speaker 2: more bang for your buck, and then make everybody whole

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Speaker 2: and do much better. Because I think if you've ever

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Speaker 2: been around in like state house politics, anytime they want

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Speaker 2: to do something with like a school funding formula, like

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Speaker 2: which district gets which money, you know, for this, if

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Speaker 2: you're dealing with the mentality of scarcity, it's really really

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Speaker 2: hard to do. But if people feel like everybody could

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Speaker 2: benefit in different ways, that's how you could ultimately get there.

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Speaker 2: So that's something that I'm working on, and there's a

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Speaker 2: few of us putting on Center Crews is involved with it.

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Speaker 2: There's a lot of people on the Commerce Committee because

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Speaker 2: the Commerce Committee has jurisdiction over amateur and professional sports.

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Speaker 1: And that's some sort of Sports Broadcast Act. Is that

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Speaker 1: what I understand that there is for the second part, Yeah.

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Speaker 2: Yeah, So a Sports Broadcasting Act was adopted in the

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Speaker 2: early nineteen sixties that gave these professional sports leagues the

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Speaker 2: ability to negotiate as one because look, if you were

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Speaker 2: the NFL and you were trying to negotiate with CBS

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Speaker 2: or Fox, there would clearly you're under typical anti trust law.

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Speaker 2: You'd be colluding. You'd be all be kind of colluding

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Speaker 2: to do it. So Congress said, no, you're a league.

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Speaker 2: You can go do that collectively. And that's what the

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Speaker 2: sports If you amended the Sports Broadcasting Act, you do

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Speaker 2: for college football and say, look, all these member institutions

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Speaker 2: are protected from being sued for anti trust by colluding

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Speaker 2: to negotiate with CBS or Fox or whoever, because everybody

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Speaker 2: would have benefit. But again, if they tried to do

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Speaker 2: that without amending the Sports Badcasting they just wouldn't be

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Speaker 2: able to do it. So that's why Congress has a

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Speaker 2: role potentially here.

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Speaker 1: This is all super interesting. I know a lot of

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Speaker 1: people who get in the weeds on this love that analysis.

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Speaker 1: Who's going to win the Super Bowl this weekend? Are

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Speaker 1: you taking the Seahawks or the Patriots?

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Speaker 2: Man, I don't know.

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Speaker 1: I love that you have answers forever for every subject

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Speaker 1: under the sun. But when I asked you a Super

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Speaker 1: Bowl pick, you're like, oh man, this is a tough one.

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Speaker 2: I don't know. I think the Seahawks. If I think

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Speaker 2: the Seahawks, I just I think the Seahawks.

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Speaker 3: That's what I'll go with.

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Speaker 1: I'm picking Seahawks twenty four to twenty one over the Patriots.

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Speaker 1: That's my pick. I'm giving it out early this week.

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Speaker 1: I'm headed up for the to Do program.

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Speaker 2: That should I We'll see what happens. But this year,

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Speaker 2: Josh Schurtz has done a great job with Sleuth.

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Speaker 1: I know they're great. Only had one loss last time

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Speaker 1: I checked, and they are on a roll. Appreciate the time, Senator,

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Speaker 1: Well have you on again, I'm sure, But in the meantime,

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Speaker 1: appreciate all this. Enjoy the game.

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Speaker 2: Brother tick care.

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Speaker 1: Yeah that's Senator Eric Schmidt of Missouri. Make sure you

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Speaker 1: follow him. He's I loved you like he can answer

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Speaker 1: any question under the sun. You're like, hey, what should

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Speaker 1: we do about immigration? How do we handle sanctuary cities?

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Speaker 1: What should we do about census? Well, break me down

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Speaker 1: the college sports landscape. Who's gonna win the Super Bowl?

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Speaker 1: And he was just he's frozen there, petrified. It is

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Speaker 1: a tough matchup to side. But I know, hundreds of

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Speaker 1: probably one hundred and twenty million people are gonna be

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Speaker 1: watching that game come Sunday this Valentine's Day. You can

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Speaker 1: show off what two gifts for the price of one

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Speaker 1: looks like thanks to Cozy Earth. This is a good time.

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Speaker 1: By the way, if you're going to be a guy

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Speaker 1: who's getting ready for the Super Bowl and maybe your wife, girlfriend, mom,

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Speaker 1: somebody is going to be hopefully helping to set up

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Speaker 1: a great spread for you to be able to kick back.

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Speaker 1: Have you taken care of the women in your life?

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Speaker 1: This is really awesome. Actually I will in the middle

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Speaker 1: her husband had a code. I was just looking out

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Speaker 1: You buy one, you get one free. That's what Bogo

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Speaker 1: stands for. Clay Bogo. Go online right now, cozyearth dot com.

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Speaker 1: That's Claybogo. All one word, buy one, get one free

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Speaker 1: on the PJS.

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Speaker 4: Clay Bogo, Clay Travis and Buck Sexton telling it like

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Speaker 4: it is. Find them on the free iHeartRadio app or

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Speaker 4: wherever you get your podcasts.

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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 Isacman.

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Speaker 1: I believe is 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 that NASA departure that is scheduled to

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

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

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Speaker 1: in studio with US. I am out in Los Angeles

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Speaker 1: right now. I'm in California for the week, and so

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Speaker 1: I'm hanging out with a lot of you who are

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Speaker 1: behind enemy lines. That feels like one of our biggest audiences,

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Speaker 1: not surprisingly on the rate, maybe it does surprise some

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

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Speaker 1: of my favorite stats, bloy people's minds didn't happen in

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Speaker 1: twenty twenty four. But more people in California voted for

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

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Speaker 1: in Texas. Let me repeat that. A lot of people

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Speaker 1: say now again, partly it's a function of the population,

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Speaker 1: but I think it goes to show how many people

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Speaker 1: are behind enemy lines here in the twenty twenty election.

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

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Speaker 1: for Donald Trump in Texas. Everybody thinks of Texas deep

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Speaker 1: red state and thinks of California as a deep blue state.

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Speaker 1: But I do think it's always worth keeping in mind

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Speaker 1: that whatever political persuasion you have, in most parts of

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

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Speaker 1: forty in one way or the other. Even Wyoming and

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Speaker 1: West Virginia, which are the two biggest Trump states in

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Speaker 1: the country, have thirty percent Blue voters. Now they're drastically overwhelmed.

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Speaker 1: But no matter what state you live in, I do

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Speaker 1: think it's worth remembering that there are lots of people

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Speaker 1: that agree with you. Even if we generally speaking say

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Speaker 1: red or blue states, there are still a lot of

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Speaker 1: people in California behind enemy lines, so to speak. Okay,

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Speaker 1: so we just played you the cut as we went

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Speaker 1: to break of a Rolling Stone reporter asking Jelly Roll

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Speaker 1: the entertainer, what he thought about the anti Ice comments

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Speaker 1: from one of the entertainers, Billy Eilish among others, who

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Speaker 1: were just ripping Ice to shreds last night during the Grammys,

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Speaker 1: And I said, I want to take you behind the

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Speaker 1: scenes and let you know exactly what's going there on there,

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Speaker 1: because once you see it, I think you'll be able

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Speaker 1: to understand even more so how this narrative story is created.

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Speaker 1: So we have historically opinion people and we have newspeople, right,

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Speaker 1: that is the general concept, and it's designed in a

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Speaker 1: way so that old school if you were in the newspaper,

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Speaker 1: the front part of the newspaper you would read would

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Speaker 1: theoretically be the news, the facts, what actually happened, laying

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Speaker 1: it out for you so that you could understand what

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Speaker 1: exactly was going on. And then in the back you

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Speaker 1: would have the editorial pages, where you would have columnists

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Speaker 1: or opinion guest op ed writers. They would tell you

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Speaker 1: what they think of the news, and so there was

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

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

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

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Speaker 1: by it, you should go read some of my books.

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Speaker 1: But I think you're going to understand, and I think

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Speaker 1: it's important for you to understand how everything shifted back

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Speaker 1: in the day. Media companies, most of them and a

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Speaker 1: lot of them still do like this show, for instance,

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Speaker 1: but really in media there's only two ways to make money.

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Speaker 1: There's 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 subscriptions

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

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

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Speaker 1: And if you think about when most of us grew up,

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Speaker 1: if you got a newspaper, and I got three of

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Speaker 1: them printed for myself this morning, I may be the

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Speaker 1: only person in America who's got the Wall Street Journal,

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Speaker 1: the LA Times, and the New York Times sitting in

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Speaker 1: front of him in print right now. When I was

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

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Speaker 1: with a bunch of newspapers, and the flight attendant said,

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Speaker 1: do you know how long it's been since I've seen

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Speaker 1: anybody old school with actual newspapers. I am the last

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Speaker 1: print reader. What made money back in the day for newspapers,

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

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

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Speaker 1: a business perspective, the only reason the newspaper existed was

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

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Speaker 1: articles were the reason that you might buy the newspaper.

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Speaker 1: And remember, back in the day, classified advertisements was the

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

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Speaker 1: that business, but primarily they didn't make money off subscriptions.

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Speaker 1: They would give you the newspaper for free, often if

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Speaker 1: they knew that you would read it. Remember USA today

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Speaker 1: probably the worst newspaper that exists in America. Today. You

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

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Speaker 1: It was thenation's most widely distributed newspaper. Mostly trash, but

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

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

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

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Speaker 1: the most valuable part for newspapers. It collapsed. Most people

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Speaker 1: 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 for advertising were a pinprick of what you could

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

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

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Speaker 1: you could have in a newspaper. Right, a full page

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Speaker 1: 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 New

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Speaker 1: York Times, LA Times, Wall Street Journal. When they were

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Speaker 1: trying to reach the broadest possible audience, they at least

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

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Speaker 1: 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 report 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. But

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Speaker 1: they're in the news business. So how do they get

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Speaker 1: to the actual opinion side. They ask slanted questions that

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Speaker 1: allow them to use the answers they get that have

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Speaker 1: the opinions that they have, they slant it. Can I

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Speaker 1: play the jelly roll question again for you? I want

433
00:23:36,200 --> 00:23:39,560
Speaker 1: you to listen to this. This is a Rolling Stone reporter.

434
00:23:40,080 --> 00:23:43,399
Speaker 1: She's supposed to be there just covering the news. She

435
00:23:43,640 --> 00:23:47,119
Speaker 1: wants Ice to be ripped by a celebrity who is

436
00:23:47,160 --> 00:23:51,320
Speaker 1: more famous than her so that her news story can

437
00:23:51,359 --> 00:23:54,600
Speaker 1: be celebrity rips Ice. Listen to that question again.

438
00:23:54,880 --> 00:23:57,560
Speaker 5: We just had Billie Eilish when and she mentioned in

439
00:23:57,600 --> 00:24:00,399
Speaker 5: her speech she talked about this topic that's so big tonight.

440
00:24:00,640 --> 00:24:03,560
Speaker 1: Would you be willing to comment on what's going on

441
00:24:03,600 --> 00:24:06,520
Speaker 1: in our country right now? Would you be willing to

442
00:24:06,600 --> 00:24:09,440
Speaker 1: say what I'm not allowed to say because I'm an

443
00:24:09,560 --> 00:24:14,480
Speaker 1: unbiased newscaster, Jelly roll? Will you say what I wish

444
00:24:14,680 --> 00:24:17,680
Speaker 1: I could say? And it's happening in sports and there's

445
00:24:17,720 --> 00:24:22,240
Speaker 1: almost no pushback. Well, we started to push back. Steve

446
00:24:22,359 --> 00:24:25,159
Speaker 1: Kerr said, for those of you who do not know,

447
00:24:25,200 --> 00:24:28,000
Speaker 1: he is the Golden State Warriors coach. He said that

448
00:24:28,160 --> 00:24:33,800
Speaker 1: Ice wasn't arresting any violent criminals recently in a press conference.

449
00:24:34,200 --> 00:24:38,000
Speaker 1: Well OutKick, the site that I sold to Fox got credentialed,

450
00:24:38,080 --> 00:24:42,080
Speaker 1: went to a Golden State Warrior game and asked this

451
00:24:42,240 --> 00:24:46,840
Speaker 1: question this weekend of Steve Kerr holding him accountable for

452
00:24:47,080 --> 00:24:49,960
Speaker 1: the lies that he told. This is what we need

453
00:24:50,119 --> 00:24:53,880
Speaker 1: more of. If celebrities are going to decide that they

454
00:24:53,880 --> 00:24:57,640
Speaker 1: are going to be outspoken when it comes to politics, Listen.

455
00:24:57,760 --> 00:25:01,760
Speaker 6: You're I for late miss spoke and I knew that

456
00:25:01,840 --> 00:25:10,640
Speaker 6: Ice was arresting some criminals, and I think I immediately regretted

457
00:25:10,640 --> 00:25:12,560
Speaker 6: it because I knew that a few cakes. But my

458
00:25:12,640 --> 00:25:17,560
Speaker 6: point is that they're also arresting people, entertaining citizens and

459
00:25:17,600 --> 00:25:20,560
Speaker 6: people who should not be being detained. And I'm as

460
00:25:20,720 --> 00:25:24,639
Speaker 6: Bok and so I apologize for the misinformation. So I

461
00:25:24,680 --> 00:25:28,359
Speaker 6: hope everybody else out there who's, you know, saying stuff

462
00:25:28,400 --> 00:25:30,199
Speaker 6: that's not true, please apologize to.

463
00:25:30,520 --> 00:25:31,879
Speaker 1: You did highlight that, missus.

464
00:25:31,920 --> 00:25:35,560
Speaker 6: No, I addressed everything I wanted to address in Minneapolis.

465
00:25:35,600 --> 00:25:38,399
Speaker 6: But I am glad you said that because that was

466
00:25:38,880 --> 00:25:41,760
Speaker 6: false what I said, and so I want to correct

467
00:25:41,760 --> 00:25:43,400
Speaker 6: that for the record, So.

468
00:25:43,520 --> 00:25:46,600
Speaker 1: Thank you, okay, and we'll get I'd like to grab

469
00:25:46,640 --> 00:25:50,720
Speaker 1: the question that Dan zach Shesky, who is an OutKick reporter,

470
00:25:51,640 --> 00:25:55,800
Speaker 1: asked for Doc Rivers, and then also the question that

471
00:25:55,840 --> 00:25:59,159
Speaker 1: Alejandro Vila asked there of Steve Kerr, because I think

472
00:25:59,200 --> 00:26:03,080
Speaker 1: the questions are import but Steve Kerr actually apologized, He

473
00:26:03,160 --> 00:26:07,320
Speaker 1: apologized for being inaccurate. Now, Doc Rivers is the coach

474
00:26:07,520 --> 00:26:12,159
Speaker 1: of the of the Timber of the Bucks up in

475
00:26:13,080 --> 00:26:17,159
Speaker 1: Many Up in Milwaukee, and he was asked about the

476
00:26:17,200 --> 00:26:20,199
Speaker 1: fact that he said ICE agents are committing murder and

477
00:26:20,240 --> 00:26:22,560
Speaker 1: he actually doubled down on it. Listen to this.

478
00:26:22,680 --> 00:26:24,399
Speaker 5: A few weeks ago, you said the shooting of Renee

479
00:26:24,440 --> 00:26:26,520
Speaker 5: Good in Minnesota was quote a straight up murder, and

480
00:26:26,560 --> 00:26:29,480
Speaker 5: you called the browner eye situation a quote travesty. Now

481
00:26:29,480 --> 00:26:31,199
Speaker 5: that some time has passed, do you still stand by

482
00:26:31,200 --> 00:26:33,320
Speaker 5: those words? And when you said murder, can you explain

483
00:26:33,320 --> 00:26:34,879
Speaker 5: if you meant that in the legal sense or as

484
00:26:34,880 --> 00:26:36,440
Speaker 5: a moral condemnation of the situation.

485
00:26:36,480 --> 00:26:40,399
Speaker 7: Oh, that'll change that at all. I look at our league,

486
00:26:40,520 --> 00:26:43,560
Speaker 7: look at the NBA. We're celebrating pioneer's day to day, right,

487
00:26:44,119 --> 00:26:46,880
Speaker 7: And I look at our league, and I think Elijah

488
00:26:46,920 --> 00:26:50,000
Speaker 7: One could have been taken off the streets, but we

489
00:26:50,200 --> 00:26:53,720
Speaker 7: was right now the way brown people feel, only the

490
00:26:53,760 --> 00:26:56,480
Speaker 7: brown people would be taken off the streets. And it's

491
00:26:56,520 --> 00:26:58,600
Speaker 7: just not right, and it's not morally right.

492
00:26:59,680 --> 00:27:03,560
Speaker 1: Okay, so Doc Rivers is a moron, But you have

493
00:27:03,640 --> 00:27:08,040
Speaker 1: to push back on these narratives, because what the reporters

494
00:27:08,080 --> 00:27:11,840
Speaker 1: are doing who sit in those newsrooms is they're asking

495
00:27:12,000 --> 00:27:16,440
Speaker 1: left wing coded questions. They're getting famous people like Doc River,

496
00:27:16,600 --> 00:27:20,120
Speaker 1: Steve Kerr, Jelly Roll, whoever it is, to say what

497
00:27:20,240 --> 00:27:24,320
Speaker 1: they wish they could say, and then they are covering

498
00:27:24,400 --> 00:27:28,720
Speaker 1: it as quote unquote news. So they're claiming that this

499
00:27:28,800 --> 00:27:33,040
Speaker 1: is not opinion based media. Now here's something else that's

500
00:27:33,080 --> 00:27:36,720
Speaker 1: interesting about this, and I think it's so important. Most

501
00:27:36,760 --> 00:27:42,560
Speaker 1: of those answers don't get covered. Steve Kerr's apology. Almost

502
00:27:42,600 --> 00:27:48,680
Speaker 1: no news site covered it, but they all covered him

503
00:27:48,840 --> 00:27:54,639
Speaker 1: saying that ICE was only arresting five year olds and

504
00:27:54,840 --> 00:27:59,119
Speaker 1: wasn't arresting violent criminals. Doc Rivers doubling down on murder.

505
00:27:59,560 --> 00:28:03,480
Speaker 1: The New York Times covered it, Steve Kerr saying, hey,

506
00:28:03,520 --> 00:28:06,320
Speaker 1: I apologize for getting that wrong. The New York Times

507
00:28:06,359 --> 00:28:11,080
Speaker 1: didn't cover it. What they select as quote unquote news

508
00:28:11,680 --> 00:28:17,480
Speaker 1: is actually the foundation of opinion based journalism. They're disguising

509
00:28:17,640 --> 00:28:22,600
Speaker 1: everything that is actually opinioned as news, and they're cloaking

510
00:28:22,640 --> 00:28:26,280
Speaker 1: it in far left wing media because that's what their

511
00:28:26,320 --> 00:28:30,800
Speaker 1: subscribers want. You don't want to subscribe to The New

512
00:28:30,920 --> 00:28:34,800
Speaker 1: York Times and find out that your political views aren't true.

513
00:28:35,040 --> 00:28:37,520
Speaker 1: You want to subscribe to the Washington Post and find

514
00:28:37,520 --> 00:28:42,480
Speaker 1: out that everything you believe about awful Nazi conservatives is

515
00:28:42,560 --> 00:28:49,480
Speaker 1: actually true. These organizations, in leaving advertising and moving to

516
00:28:49,640 --> 00:28:57,200
Speaker 1: subscription based businesses, have actually wildly polarized their audiences because

517
00:28:57,240 --> 00:29:02,240
Speaker 1: subscribers overwhelmingly index fall or left wing and what might

518
00:29:02,320 --> 00:29:06,640
Speaker 1: have been somewhat at least of an organization that attempted

519
00:29:06,960 --> 00:29:10,240
Speaker 1: to try and bring actual news has now just become

520
00:29:10,760 --> 00:29:15,800
Speaker 1: left wing propaganda. Now there's not really right wing equivalents

521
00:29:16,160 --> 00:29:20,120
Speaker 1: to The New York Times or the Washington Post, and

522
00:29:20,160 --> 00:29:26,600
Speaker 1: that's sometimes why it feels like metaphorically conservative ideas are

523
00:29:26,760 --> 00:29:30,800
Speaker 1: so overwhelmingly out gunned. We'll talk about this when we

524
00:29:30,800 --> 00:29:32,520
Speaker 1: come back. I'll take some of your calls. By the way,

525
00:29:33,080 --> 00:29:34,840
Speaker 1: we're gonna be joined by Todd Ricketts. I bet he

526
00:29:34,880 --> 00:29:37,320
Speaker 1: has some thoughts on this. At the bottom of the hour,

527
00:29:37,360 --> 00:29:40,160
Speaker 1: he owns the Chicago Cubs and he's trying to create

528
00:29:40,280 --> 00:29:44,400
Speaker 1: media companies that have more balance. Will at work. We

529
00:29:44,440 --> 00:29:47,360
Speaker 1: will discuss, but I want to tell you all about

530
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Speaker 1: price Picks. I mentioned that I'm out in California. Well,

531
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Speaker 1: I am headed up to San Francisco. I'm going to

532
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Speaker 1: be doing a lot of meetings with advertisers. I'm going

533
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Speaker 1: to be doing a lot of shows up there, and

534
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Speaker 1: I'm going to be meeting with a lot of people

535
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Speaker 1: that are in town for the Super Bowl Seahawks going

536
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Speaker 1: up against the Patriots. If you love sports and you're

537
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538
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541
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542
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550
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Speaker 1: Super Bowl pick coming an hour number three. Price picks

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Speaker 4: Stories are freedom stories of America, inspirational stories.

555
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Speaker 1: That you unite us.

556
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Speaker 4: So each day spend time with Clay and find them

557
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Speaker 4: on the free iHeartRadio app or wherever you get your podcasts.

558
00:31:08,640 --> 00:31:12,160
Speaker 1: Welcome back in Clay Travis buck Sexton Show. We are

559
00:31:12,280 --> 00:31:15,400
Speaker 1: joined now by a guy who's probably ready for Major

560
00:31:15,520 --> 00:31:19,120
Speaker 1: League Baseball season to be back. He is Todd Ricketts,

561
00:31:19,160 --> 00:31:23,680
Speaker 1: a co owner of the Chicago Cubs, and he's got

562
00:31:23,800 --> 00:31:26,040
Speaker 1: something that I think is super important that he's focused

563
00:31:26,080 --> 00:31:31,880
Speaker 1: on how technology is biased, in particular Google and big tech.

564
00:31:32,240 --> 00:31:35,520
Speaker 1: And let me tell you a story here that kind

565
00:31:35,520 --> 00:31:38,600
Speaker 1: of goes to that. When we had Donald Trump on

566
00:31:39,200 --> 00:31:43,160
Speaker 1: my sports talk radio show for the first time, mister Rickets,

567
00:31:43,240 --> 00:31:47,480
Speaker 1: back in July of twenty twenty, we had him on

568
00:31:47,920 --> 00:31:51,360
Speaker 1: and did the interview sports talker radio show, wrote it

569
00:31:51,480 --> 00:31:56,120
Speaker 1: up at OutKick, and overnight our Facebook traffic and our

570
00:31:56,160 --> 00:32:00,400
Speaker 1: Google traffic vanished. We lost eighty percent of our traffic. Basically,

571
00:32:00,480 --> 00:32:03,480
Speaker 1: I've testified under oath about it, and it was entirely

572
00:32:03,520 --> 00:32:05,520
Speaker 1: because we had a lot of positive things that were

573
00:32:05,560 --> 00:32:08,400
Speaker 1: written about Donald Trump and the algorithm that they that

574
00:32:08,440 --> 00:32:12,120
Speaker 1: they created disfavored us. And I don't think most people

575
00:32:12,280 --> 00:32:16,200
Speaker 1: understand and you're focused on this just how rigged big

576
00:32:16,240 --> 00:32:19,880
Speaker 1: tech can be in favor of left wing politics. What

577
00:32:19,920 --> 00:32:21,560
Speaker 1: have you seen and what are you trying to do?

578
00:32:21,600 --> 00:32:25,080
Speaker 3: And thanks for joining us, well, thanks for having me today,

579
00:32:25,080 --> 00:32:27,240
Speaker 3: and that's that's actually a fascinating story that he's just

580
00:32:27,240 --> 00:32:32,560
Speaker 3: told there. Really I started off with We Spoke coming

581
00:32:32,600 --> 00:32:35,640
Speaker 3: at this from a not actually having hard data like

582
00:32:35,680 --> 00:32:37,920
Speaker 3: you just mentioned, but really just a hunch when I

583
00:32:37,920 --> 00:32:40,640
Speaker 3: would search for things in Google, I was thinking the

584
00:32:40,680 --> 00:32:44,080
Speaker 3: results I was getting were not the results I expected,

585
00:32:44,720 --> 00:32:46,560
Speaker 3: and so I kind of went down this like this

586
00:32:46,680 --> 00:32:50,800
Speaker 3: rabbit hole of saying right, the left or the left

587
00:32:51,040 --> 00:32:53,280
Speaker 3: is running big tech. And I think there's kind of

588
00:32:53,280 --> 00:32:55,960
Speaker 3: two aspects of it. There's the there's the guys that

589
00:32:56,080 --> 00:32:58,520
Speaker 3: work in the you know, in the field, like their

590
00:32:58,600 --> 00:33:01,720
Speaker 3: programmers at Google, that are just naturally left leaning. And

591
00:33:01,760 --> 00:33:04,200
Speaker 3: then there's a little bit of institutional left leaning from

592
00:33:04,280 --> 00:33:06,840
Speaker 3: right the executives. And what happens is you end up

593
00:33:06,880 --> 00:33:09,600
Speaker 3: having right these these outcomes that are kind of left leaning.

594
00:33:10,040 --> 00:33:13,880
Speaker 3: And so we started free Spoke not to be a

595
00:33:14,000 --> 00:33:16,120
Speaker 3: right leaning surgeon, but we said, you know, what we

596
00:33:16,160 --> 00:33:17,720
Speaker 3: want to do is we want to put somebody out

597
00:33:17,720 --> 00:33:19,960
Speaker 3: there that is just trying to give good results and

598
00:33:20,080 --> 00:33:24,440
Speaker 3: balancing all the information that you have out there. And

599
00:33:24,520 --> 00:33:26,760
Speaker 3: so we sort of free Spoke to be try to

600
00:33:26,800 --> 00:33:29,920
Speaker 3: be fair, to try to show everything and not suppress

601
00:33:30,520 --> 00:33:34,920
Speaker 3: any sort of information, whether it be labeled misinformation or whatnot.

602
00:33:35,560 --> 00:33:37,120
Speaker 3: And so we kind of we came at that and

603
00:33:37,160 --> 00:33:41,400
Speaker 3: then like since then, we've discovered that Google most definitely

604
00:33:41,480 --> 00:33:43,120
Speaker 3: has been left leaning. Yeah they counts. For a long

605
00:33:43,160 --> 00:33:45,520
Speaker 3: time they said they were not. But then you know,

606
00:33:45,560 --> 00:33:48,000
Speaker 3: you hear like the executive director from the UN on

607
00:33:48,080 --> 00:33:51,560
Speaker 3: climate change talking about how they work with Google to

608
00:33:51,600 --> 00:33:54,800
Speaker 3: suppress any sort of right, you know, any sort of

609
00:33:55,200 --> 00:33:58,600
Speaker 3: thinking on climate change that goes against the narrative. And

610
00:33:58,640 --> 00:34:01,440
Speaker 3: then you saw I think yet Schmidt talking about how,

611
00:34:01,720 --> 00:34:03,920
Speaker 3: you know, the Biden administration works with the big tech

612
00:34:03,920 --> 00:34:07,440
Speaker 3: company to suppress anything that was anti vaccine, and the

613
00:34:07,960 --> 00:34:09,680
Speaker 3: list kind of just goes on and on and on.

614
00:34:09,760 --> 00:34:12,000
Speaker 3: And so what we've done at prespoke is try to

615
00:34:12,040 --> 00:34:14,240
Speaker 3: create a search engine and then the way the world

616
00:34:14,280 --> 00:34:16,279
Speaker 3: is evolving, i'd call it more a little more of

617
00:34:16,280 --> 00:34:20,279
Speaker 3: an AI digital news assistant to help you sort through

618
00:34:20,320 --> 00:34:23,000
Speaker 3: everything that's out there to help you form your own opinion.

619
00:34:23,480 --> 00:34:25,680
Speaker 3: And that's really what we're going for at free Spoke.

620
00:34:26,480 --> 00:34:29,799
Speaker 1: I think that's super important because the search engine is

621
00:34:29,880 --> 00:34:33,440
Speaker 1: now becoming diminished through AI because so many people, my

622
00:34:33,520 --> 00:34:36,600
Speaker 1: kids included, just pull their phones out and go to

623
00:34:36,920 --> 00:34:42,240
Speaker 1: a AI location, whether it's chat ept, whether it's grock

624
00:34:42,360 --> 00:34:45,560
Speaker 1: on Twitter. So how do you balance that as you

625
00:34:45,600 --> 00:34:48,880
Speaker 1: move forward? Because Google's power may be diminishing, but Google

626
00:34:48,920 --> 00:34:51,600
Speaker 1: has their own AI device. I'm sure you're having to

627
00:34:51,680 --> 00:34:54,400
Speaker 1: evolve in real time. Where back in the day, somebody

628
00:34:54,400 --> 00:34:56,080
Speaker 1: would sit down in front of a computer or even

629
00:34:56,120 --> 00:34:58,160
Speaker 1: on their phone and type in a query to try

630
00:34:58,160 --> 00:35:01,640
Speaker 1: to find information. Now it's moved from the traditional search

631
00:35:01,640 --> 00:35:05,040
Speaker 1: engine to this AI device, and arguably I would think

632
00:35:05,080 --> 00:35:09,120
Speaker 1: the algorithms that are powering AI are even more impactful

633
00:35:09,600 --> 00:35:12,040
Speaker 1: going forward than search has been.

634
00:35:12,920 --> 00:35:15,320
Speaker 3: Yeah, that's you're one hundred percent right there. And really

635
00:35:15,640 --> 00:35:19,680
Speaker 3: what we've seen is that people are shifting away from

636
00:35:19,800 --> 00:35:23,279
Speaker 3: away from Google to your chat GPTs. But again the

637
00:35:23,360 --> 00:35:26,279
Speaker 3: chat GPTs have like their biases built into them as well.

638
00:35:26,360 --> 00:35:29,480
Speaker 3: So we've built our own competitor that if you go

639
00:35:29,520 --> 00:35:31,520
Speaker 3: to free Spoke and you search for things, it has,

640
00:35:31,880 --> 00:35:34,759
Speaker 3: you know, an agentic AI sort of interface where you

641
00:35:34,800 --> 00:35:38,319
Speaker 3: can ask ask the question, get an AI answer, and

642
00:35:38,360 --> 00:35:40,719
Speaker 3: then kind of elaborate that and build just like you

643
00:35:40,760 --> 00:35:43,359
Speaker 3: do in the chat GPT sort of environment. But what

644
00:35:43,360 --> 00:35:45,359
Speaker 3: we've tried to do is like We've tried to train

645
00:35:45,560 --> 00:35:49,719
Speaker 3: our AI to be really I say, just the facts, ma'am.

646
00:35:50,080 --> 00:35:52,480
Speaker 3: We try we're trying not to lean anywhere. We try

647
00:35:52,520 --> 00:35:54,759
Speaker 3: to get both sides and kind of like show some

648
00:35:54,800 --> 00:35:57,880
Speaker 3: middle ground is where things overlap. So we've kind of

649
00:35:57,920 --> 00:36:01,319
Speaker 3: built that same sort of technology. Uh. And then so

650
00:36:02,120 --> 00:36:04,359
Speaker 3: if you're if you're using chests GPTs, then come over

651
00:36:04,400 --> 00:36:06,080
Speaker 3: to free spoke and try us out and see if

652
00:36:06,080 --> 00:36:07,000
Speaker 3: you're trying the difference.

653
00:36:07,719 --> 00:36:10,600
Speaker 1: We're talking to Todd Ricketts, co owner of the Chicago Cubs,

654
00:36:10,640 --> 00:36:14,200
Speaker 1: co founder of free Spoke, the independent search engine trying

655
00:36:14,239 --> 00:36:18,200
Speaker 1: to take on Google's political bias and combat big tech censorship.

656
00:36:18,760 --> 00:36:21,760
Speaker 1: As you well know, it's not only bias, it's also

657
00:36:22,040 --> 00:36:25,360
Speaker 1: bearing what you can find. Uh. And one of the

658
00:36:25,360 --> 00:36:28,640
Speaker 1: things that's so important is scale, uh and all of

659
00:36:28,680 --> 00:36:32,759
Speaker 1: these iterations because the more scale you have, the more

660
00:36:32,840 --> 00:36:36,040
Speaker 1: success you can build, the better iterations you create. How

661
00:36:36,040 --> 00:36:38,680
Speaker 1: do you get big enough to make free spoke be

662
00:36:38,880 --> 00:36:42,360
Speaker 1: able to build off of the queries that it's getting

663
00:36:42,360 --> 00:36:45,320
Speaker 1: to build a more efficient sort of reply system.

664
00:36:46,239 --> 00:36:48,360
Speaker 3: Gosh, that's a great question, and really it is. It

665
00:36:49,280 --> 00:36:52,160
Speaker 3: is the big, the big obstacle. We we're trying to

666
00:36:52,160 --> 00:36:53,719
Speaker 3: get over. It's like, how do we get out we

667
00:36:53,800 --> 00:36:56,480
Speaker 3: out there and get people using our products, because once

668
00:36:56,520 --> 00:36:59,240
Speaker 3: they get there and they start using it, they generally

669
00:36:59,280 --> 00:37:01,080
Speaker 3: stay and they it more and more and more. And

670
00:37:01,160 --> 00:37:03,440
Speaker 3: we've got a few million users. But this is the

671
00:37:03,520 --> 00:37:05,279
Speaker 3: year where we've decided to really go out there and

672
00:37:05,360 --> 00:37:07,120
Speaker 3: kind of advertise a little bit more and try to

673
00:37:07,120 --> 00:37:11,520
Speaker 3: get more users and stickier users. And so it's really

674
00:37:11,560 --> 00:37:13,399
Speaker 3: it is a tough It's a tough market to break

675
00:37:13,400 --> 00:37:14,560
Speaker 3: into though, that's for sure.

676
00:37:15,239 --> 00:37:17,360
Speaker 1: Well, and there's all these obstacles that are built up.

677
00:37:17,400 --> 00:37:20,279
Speaker 1: I mean, there's been a ton of antitrust investigations into

678
00:37:20,280 --> 00:37:23,640
Speaker 1: this because once these organizations get big, they try to

679
00:37:23,719 --> 00:37:26,400
Speaker 1: keep anybody else from being able to get in, and

680
00:37:26,440 --> 00:37:29,400
Speaker 1: that makes it even more challenging. And again, in an

681
00:37:29,440 --> 00:37:31,680
Speaker 1: AI age, I think it's going to matter even more.

682
00:37:32,200 --> 00:37:34,600
Speaker 1: What are you seeing in terms of youth? Is there

683
00:37:34,600 --> 00:37:38,600
Speaker 1: an understanding among young people that they are being sort

684
00:37:38,600 --> 00:37:43,320
Speaker 1: of sometimes fed false information? How active are young people

685
00:37:43,360 --> 00:37:46,400
Speaker 1: in your experience based on what you're seeing aware of

686
00:37:46,480 --> 00:37:48,640
Speaker 1: how the world is shifting, and not only young people

687
00:37:49,000 --> 00:37:52,440
Speaker 1: who's more susceptible to being manipulated in your mind? Is

688
00:37:52,440 --> 00:37:55,320
Speaker 1: that older people younger people. The answer is everybody. But

689
00:37:55,360 --> 00:37:58,080
Speaker 1: who are you seeing be the most impacted and maybe

690
00:37:58,080 --> 00:37:59,840
Speaker 1: not even realize it.

691
00:38:00,120 --> 00:38:02,080
Speaker 3: Yeah, I don't know if you can put an age

692
00:38:02,160 --> 00:38:04,839
Speaker 3: range or a type of person. What we were seeing though,

693
00:38:04,960 --> 00:38:07,440
Speaker 3: is like I think that about a big part of

694
00:38:07,480 --> 00:38:10,080
Speaker 3: like big tech and the social media we have out there.

695
00:38:10,440 --> 00:38:12,680
Speaker 3: It just reinforces your point of view because when you

696
00:38:12,719 --> 00:38:15,040
Speaker 3: get on an Instagram or a techtolek or something and

697
00:38:15,080 --> 00:38:17,600
Speaker 3: you like, you like something you see, you just get

698
00:38:17,640 --> 00:38:19,960
Speaker 3: more of it. And so what's happening is is the

699
00:38:20,000 --> 00:38:22,400
Speaker 3: algorithms are driving us to the content that we like

700
00:38:22,520 --> 00:38:25,000
Speaker 3: because their whole idea is to keep you there, right,

701
00:38:25,080 --> 00:38:26,520
Speaker 3: So they're not going to show you stuff that that

702
00:38:26,680 --> 00:38:29,319
Speaker 3: disagrees with you, and so people are just kind of

703
00:38:29,360 --> 00:38:32,959
Speaker 3: like set into this echo chamber and that it really

704
00:38:33,000 --> 00:38:35,719
Speaker 3: drives the divide. Just sometimes if I get onto one

705
00:38:35,719 --> 00:38:38,320
Speaker 3: of these platforms and I'm watching and I'm seeing stuff

706
00:38:38,320 --> 00:38:41,520
Speaker 3: that you know, like identify that I identify with, and

707
00:38:41,560 --> 00:38:43,920
Speaker 3: I'm like, yeah, damn right, And then I think, well,

708
00:38:43,920 --> 00:38:46,640
Speaker 3: my neighbors popping not saying that, yeah, And that's what's

709
00:38:46,719 --> 00:38:48,640
Speaker 3: leading to the divide in this. And I think a

710
00:38:48,680 --> 00:38:51,920
Speaker 3: long time ago before social media, before the technology was

711
00:38:51,960 --> 00:38:55,560
Speaker 3: so prevalent in our lives, if your neighbor didn't agree

712
00:38:55,600 --> 00:38:58,839
Speaker 3: with you, you didn't necessarily know it. Right. You get

713
00:38:58,880 --> 00:39:01,600
Speaker 3: years with your neighbors, and your neighbor may have some

714
00:39:01,840 --> 00:39:04,520
Speaker 3: crazy ideas about how the world works and and may

715
00:39:04,560 --> 00:39:06,680
Speaker 3: be extreme to one way or the other, but you

716
00:39:06,719 --> 00:39:08,319
Speaker 3: didn't always have to talk about it, Like you could

717
00:39:08,360 --> 00:39:09,920
Speaker 3: still have a beer and talk about, you know, the

718
00:39:10,000 --> 00:39:12,120
Speaker 3: favorite sports team or what's going on in the neighborhood.

719
00:39:12,520 --> 00:39:15,600
Speaker 3: But now you can't help but know because either your

720
00:39:15,640 --> 00:39:18,040
Speaker 3: neighbor posting stuff out there and you're like, oh my god,

721
00:39:18,040 --> 00:39:21,320
Speaker 3: I can't believe Bill believes this. And on the subside,

722
00:39:21,360 --> 00:39:23,279
Speaker 3: when he's going there and just you know, kind of

723
00:39:23,320 --> 00:39:26,480
Speaker 3: surfing through social media, he's only saying things that reinforce

724
00:39:26,600 --> 00:39:28,440
Speaker 3: his point of view, not saying things that I kind

725
00:39:28,440 --> 00:39:29,000
Speaker 3: of counter it.

726
00:39:29,080 --> 00:39:29,279
Speaker 1: Right.

727
00:39:29,680 --> 00:39:32,080
Speaker 3: I think that's a big issue we've had in the

728
00:39:32,080 --> 00:39:35,240
Speaker 3: country right now, is that that divide is getting driven

729
00:39:35,280 --> 00:39:37,479
Speaker 3: by that. And so if free Spook, what we're trying

730
00:39:37,520 --> 00:39:39,600
Speaker 3: to do, especially on our news side, is I kind

731
00:39:39,600 --> 00:39:41,960
Speaker 3: of show all sides and let you see, like what

732
00:39:42,520 --> 00:39:45,319
Speaker 3: both sides are writing about on the same topics. And

733
00:39:45,400 --> 00:39:47,480
Speaker 3: so then you can see the crossover of like, Okay, well,

734
00:39:47,520 --> 00:39:49,440
Speaker 3: the truth probably lies somewhere in between.

735
00:39:50,320 --> 00:39:52,400
Speaker 1: I think that's hugely important. I was making fun of

736
00:39:52,480 --> 00:39:55,080
Speaker 1: myself because I'm the last person who still reads print.

737
00:39:55,160 --> 00:39:56,920
Speaker 1: I'm out in LA right now. I've got the New

738
00:39:57,000 --> 00:39:59,480
Speaker 1: York Times, the La Times, Wall Street Journal in front

739
00:39:59,520 --> 00:40:03,200
Speaker 1: of me. One reason that I love print is serendipity.

740
00:40:03,560 --> 00:40:06,680
Speaker 1: It puts articles that I might not otherwise read in

741
00:40:06,719 --> 00:40:09,640
Speaker 1: front of me because the algorithm only is going to

742
00:40:09,680 --> 00:40:12,239
Speaker 1: give me things that it already knows I like, but

743
00:40:12,320 --> 00:40:14,240
Speaker 1: there might be things that I want to be exposed

744
00:40:14,280 --> 00:40:16,080
Speaker 1: to that I would never see. And that sounds like

745
00:40:16,120 --> 00:40:20,200
Speaker 1: something you're trying to address with your product one hundred percent.

746
00:40:20,239 --> 00:40:21,560
Speaker 3: And I'm going to say I'm with you. I actually

747
00:40:21,600 --> 00:40:23,800
Speaker 3: I still get a hard newspaper every day. I like

748
00:40:24,600 --> 00:40:28,040
Speaker 3: the tactile feeling of plipping through the paper itself, as

749
00:40:28,120 --> 00:40:30,120
Speaker 3: well as what you said about like reading articles that

750
00:40:30,120 --> 00:40:32,040
Speaker 3: you would never think to search on or go look

751
00:40:32,080 --> 00:40:32,640
Speaker 3: for yourself.

752
00:40:33,520 --> 00:40:36,680
Speaker 1: We're talking to Todd Ricketts. Okay, you mentioned sports. You

753
00:40:36,719 --> 00:40:38,840
Speaker 1: are one of the co owners of the Chicago Cubs.

754
00:40:39,200 --> 00:40:43,440
Speaker 1: I'm a big baseball fan, Braves fan. Unfortunately, for you, competitor,

755
00:40:43,480 --> 00:40:45,600
Speaker 1: But you've got one of the great all time brands

756
00:40:45,640 --> 00:40:50,080
Speaker 1: and sports the Cubs, you know, Wrigley Field, WGN back

757
00:40:50,080 --> 00:40:53,360
Speaker 1: in the day, nationwide audience. Are you nervous? I'm in

758
00:40:53,480 --> 00:40:56,240
Speaker 1: LA right now. The Dodgers are spending money like crazy.

759
00:40:56,280 --> 00:40:59,840
Speaker 1: The Cubs are a big brand team. But are you

760
00:41:00,000 --> 00:41:02,960
Speaker 1: nervous about where baseball is going? When you see the

761
00:41:03,000 --> 00:41:06,400
Speaker 1: contracts that some teams can sign and others cannot, or

762
00:41:06,600 --> 00:41:08,839
Speaker 1: you think it's going to get itself solved? How much

763
00:41:08,840 --> 00:41:10,120
Speaker 1: time do you spend thinking about that?

764
00:41:10,960 --> 00:41:13,400
Speaker 3: You know, I think that eventually it's going to get solved.

765
00:41:13,640 --> 00:41:15,600
Speaker 3: I think that at some point we're going to come

766
00:41:15,680 --> 00:41:18,239
Speaker 3: up with a system that that kind of like is

767
00:41:18,239 --> 00:41:19,920
Speaker 3: a little bit more like the other leagues out there,

768
00:41:19,920 --> 00:41:21,479
Speaker 3: that has a little bit more of a hard cap.

769
00:41:21,880 --> 00:41:24,120
Speaker 3: But also I think if you've seen in baseball that

770
00:41:24,840 --> 00:41:28,759
Speaker 3: you know, spending doesn't necessarily equate to championships. I mean,

771
00:41:28,800 --> 00:41:31,280
Speaker 3: it did this year for the Dodgers, but historically speaking,

772
00:41:31,360 --> 00:41:34,080
Speaker 3: you know, the Yankees for the last one hundred and

773
00:41:34,120 --> 00:41:36,360
Speaker 3: twenty five years, called it or whatever, the Yankees have

774
00:41:36,400 --> 00:41:39,439
Speaker 3: outspent everybody, but they haven't won the World Series every

775
00:41:39,480 --> 00:41:41,440
Speaker 3: single year. So I think there's a lot of examples

776
00:41:41,480 --> 00:41:45,359
Speaker 3: in baseball where money doesn't equate to World Series championships,

777
00:41:46,000 --> 00:41:50,399
Speaker 3: it certainly helps. So we'll see what We'll see where

778
00:41:50,400 --> 00:41:52,120
Speaker 3: this leads. I think it's going to lead us to

779
00:41:52,160 --> 00:41:54,080
Speaker 3: a place where we get a little bit more of

780
00:41:54,320 --> 00:41:58,560
Speaker 3: a hard cap that will put a little bit of

781
00:41:58,640 --> 00:42:01,240
Speaker 3: balance of talent or at least of money out there.

782
00:42:01,400 --> 00:42:02,960
Speaker 3: But also I looked at I look at our team,

783
00:42:02,960 --> 00:42:04,400
Speaker 3: and I'm like, we have a rock solid team. I

784
00:42:04,400 --> 00:42:06,200
Speaker 3: think we have a really great, a really great team

785
00:42:06,239 --> 00:42:08,520
Speaker 3: coming up this year, and I think we're going to

786
00:42:08,600 --> 00:42:10,839
Speaker 3: make the playoffs. You know, knock on wood and see

787
00:42:10,840 --> 00:42:11,719
Speaker 3: where that goes from there.

788
00:42:12,600 --> 00:42:14,799
Speaker 1: For people out there who are listening and they're saying, boy,

789
00:42:14,840 --> 00:42:17,520
Speaker 1: I do need to have a better, more aggressive understanding

790
00:42:17,560 --> 00:42:19,480
Speaker 1: of how things are playing on the internet. Tell us

791
00:42:19,520 --> 00:42:21,879
Speaker 1: one more time about your search engine. How they can

792
00:42:21,960 --> 00:42:23,480
Speaker 1: start to use it in their lives.

793
00:42:24,239 --> 00:42:26,400
Speaker 3: Yeah, you can go to freespoke dot com or you

794
00:42:26,400 --> 00:42:28,120
Speaker 3: can go to the app store and download the free

795
00:42:28,160 --> 00:42:30,680
Speaker 3: Spoke app. And really, well, I'll give you each morning

796
00:42:30,800 --> 00:42:32,800
Speaker 3: is like you know, a hold of this to headlines

797
00:42:32,960 --> 00:42:36,640
Speaker 3: and both sides like what what multiple newspapers are writing

798
00:42:36,680 --> 00:42:38,839
Speaker 3: on the same topic, and I think it'll just really

799
00:42:38,840 --> 00:42:40,719
Speaker 3: help you to inform your opinion. And I think it'd

800
00:42:40,760 --> 00:42:43,120
Speaker 3: be good for our country if everybody spends a little

801
00:42:43,120 --> 00:42:45,439
Speaker 3: time thinking about how the other side thinks and kind

802
00:42:45,440 --> 00:42:47,000
Speaker 3: of bridge that divide.

803
00:42:47,040 --> 00:42:49,600
Speaker 1: Todd Ricketts, co owner of the Chicago Cubs, co founder

804
00:42:49,680 --> 00:42:53,080
Speaker 1: of Free Spoke. We appreciate the time pitchers and catchers reports.

805
00:42:53,080 --> 00:42:53,239
Speaker 2: Soon.

806
00:42:53,280 --> 00:42:54,160
Speaker 1: It's a good time of year.

807
00:42:54,920 --> 00:42:57,600
Speaker 3: Yep. On the eleventh. On the eleventh, baseball is almost here.

808
00:42:57,600 --> 00:42:58,120
Speaker 3: I can't wait.

809
00:42:59,000 --> 00:43:01,359
Speaker 1: Thank you, sir Todd Ricketts. You can go check out

810
00:43:01,360 --> 00:43:03,000
Speaker 1: free spoke dot com. I'm gonna check it out. I

811
00:43:03,000 --> 00:43:07,040
Speaker 1: haven't used it yet, I will, and I'm certainly appreciative

812
00:43:07,120 --> 00:43:09,799
Speaker 1: of the goal there. Look, I want to make sure

813
00:43:09,840 --> 00:43:12,520
Speaker 1: that all of you are able to be safe inside

814
00:43:12,520 --> 00:43:15,680
Speaker 1: your own homes, and that's exactly what Saber does. We

815
00:43:15,800 --> 00:43:19,719
Speaker 1: have every single Saber product in the country. Saber Home

816
00:43:19,719 --> 00:43:24,880
Speaker 1: Defense Launcher delivers seven powerful impact pepper projectiles, non lethal,

817
00:43:25,239 --> 00:43:28,000
Speaker 1: but designed to protect people. That's two more than most

818
00:43:28,000 --> 00:43:29,920
Speaker 1: of the competitors out there. Because when you have to

819
00:43:29,920 --> 00:43:32,520
Speaker 1: defend yourself, you want to make sure that you have

820
00:43:32,560 --> 00:43:36,439
Speaker 1: as much possible protection out there. And maybe you got

821
00:43:36,440 --> 00:43:38,799
Speaker 1: young kids, maybe you got grandkids, and you know they

822
00:43:38,880 --> 00:43:41,040
Speaker 1: like to snoop. You know, they like to get into everything.

823
00:43:41,520 --> 00:43:45,200
Speaker 1: Sabers products are all non lethal. They're protective, but they

824
00:43:45,239 --> 00:43:47,719
Speaker 1: are non lethal, whether it's pepper sprays, whether it's the

825
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Speaker 1: projectile launcher. We have every single Saber product in the

826
00:43:52,239 --> 00:43:54,840
Speaker 1: Travis household. You can go check it out for yourself,

827
00:43:54,840 --> 00:43:57,480
Speaker 1: for your kids, for your grandkids, for your peace of mind,

828
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Speaker 1: for your family. Don't wait for a close call. Get

829
00:44:00,719 --> 00:44:04,680
Speaker 1: protection now at Saber radio dot com. That's s A

830
00:44:04,840 --> 00:44:08,080
Speaker 1: b r E Radio dot com. Eight four four eight

831
00:44:08,120 --> 00:44:11,720
Speaker 1: two four safe s A b r E Radio dot com.

832
00:44:11,719 --> 00:44:15,880
Speaker 1: That's Saber radio dot com. Two guys walk up to

833
00:44:15,960 --> 00:44:16,359
Speaker 1: a mic.

834
00:44:16,920 --> 00:44:23,359
Speaker 4: Anything goes Clay Travis and Buck Sexton. Find them on

835
00:44:23,400 --> 00:44:27,239
Speaker 4: the free iHeartRadio app or wherever you get your podcasts.

836
00:44:28,080 --> 00:44:32,480
Speaker 1: Welcome then Outumber three Clay Travis, Buck Sexton Show, appreciate

837
00:44:32,600 --> 00:44:36,440
Speaker 1: all of you. Buck is out. He is with the

838
00:44:36,440 --> 00:44:39,000
Speaker 1: Secretary of War Pete Hegseth. He is with the head

839
00:44:39,080 --> 00:44:44,719
Speaker 1: of NASA, Jared Isaacson, isaacmun Isaacson something like that. And

840
00:44:44,840 --> 00:44:48,359
Speaker 1: he has spent today at Kennedy Space Center. As we

841
00:44:48,400 --> 00:44:54,320
Speaker 1: prepare for a major launch into space another tour. I

842
00:44:54,360 --> 00:44:58,640
Speaker 1: think it's Artemis two that is planning to head to

843
00:44:59,360 --> 00:45:03,319
Speaker 1: the Moon and engage in many different aspects of that

844
00:45:04,640 --> 00:45:07,440
Speaker 1: space mission. And I believe he said that we have

845
00:45:07,480 --> 00:45:12,480
Speaker 1: been invited to potentially watch a rocket ship take off,

846
00:45:13,160 --> 00:45:17,160
Speaker 1: which would be pretty cool. So hopefully we can find

847
00:45:17,160 --> 00:45:21,120
Speaker 1: that and be able to share some more experience with you. Buck,

848
00:45:21,160 --> 00:45:23,799
Speaker 1: We'll have some good stories, I would imagine tomorrow when

849
00:45:23,920 --> 00:45:26,680
Speaker 1: he is back, I'm gonna be joined by Senator Marshall

850
00:45:26,680 --> 00:45:29,000
Speaker 1: Blackburn at the bottom of the hour. We've already talked

851
00:45:29,040 --> 00:45:33,120
Speaker 1: with Senator Eric Schmidt of Missouri and Chicago Cubs co

852
00:45:33,200 --> 00:45:37,880
Speaker 1: owner Todd Ricketts. Really enjoyable conversations. Encourage you to go

853
00:45:37,920 --> 00:45:40,840
Speaker 1: subscribe to the podcast. Search out my name Klay Travis,

854
00:45:40,880 --> 00:45:44,080
Speaker 1: search out Buck Sexton. Go give us five stars while

855
00:45:44,080 --> 00:45:46,520
Speaker 1: you're there, write a funny review. I'm going to give

856
00:45:46,560 --> 00:45:50,000
Speaker 1: producer Greg a new job. If you see funny five

857
00:45:50,080 --> 00:45:55,040
Speaker 1: star reviews of the show on podcasts, then can you

858
00:45:55,160 --> 00:45:58,799
Speaker 1: please grab it and we will share some of those

859
00:45:58,840 --> 00:46:01,160
Speaker 1: with you. So make us laugh and your review can

860
00:46:01,239 --> 00:46:04,920
Speaker 1: end up on the program for the podcast. Also, good news,

861
00:46:06,320 --> 00:46:07,600
Speaker 1: a lot of you have been asking about this for

862
00:46:07,640 --> 00:46:12,200
Speaker 1: a very long time. Starting next Monday, that is the ninth.

863
00:46:12,800 --> 00:46:16,320
Speaker 1: On February ninth, this show will debut for the first

864
00:46:16,320 --> 00:46:21,080
Speaker 1: time ever on satellite radio the Triumph channel, Channel one

865
00:46:21,239 --> 00:46:24,200
Speaker 1: twenty three. So for those of you out there that

866
00:46:24,280 --> 00:46:28,520
Speaker 1: are traveling people, maybe that don't have consistent great reception

867
00:46:28,800 --> 00:46:32,920
Speaker 1: of the five hundred and fifty five AMFM stations nationwide,

868
00:46:32,920 --> 00:46:36,399
Speaker 1: maybe your particular area doesn't pull it up, you will

869
00:46:36,400 --> 00:46:38,920
Speaker 1: be able to find the show in addition to the podcast.

870
00:46:38,960 --> 00:46:41,400
Speaker 1: In addition to the five hundred and fifty five stations

871
00:46:41,400 --> 00:46:43,839
Speaker 1: in all fifty states, you will be able to listen

872
00:46:43,840 --> 00:46:47,280
Speaker 1: to the program starting a week from today on Serious

873
00:46:47,440 --> 00:46:50,239
Speaker 1: XM channel one twenty three. The show has never been

874
00:46:51,040 --> 00:46:55,160
Speaker 1: on satellite radio before. We are continuing to expand and

875
00:46:55,320 --> 00:46:59,720
Speaker 1: grow across all of the platforms because people consume shows

876
00:46:59,719 --> 00:47:01,840
Speaker 1: so much many different ways now than compared to the

877
00:47:01,880 --> 00:47:04,440
Speaker 1: eighties and the nineties. We want to be everywhere. So

878
00:47:04,520 --> 00:47:08,080
Speaker 1: starting in June, we will have three hours of video

879
00:47:08,719 --> 00:47:12,120
Speaker 1: every single day that you'll be able to see that

880
00:47:12,200 --> 00:47:14,920
Speaker 1: hopefully will look pretty good. That will be on YouTube,

881
00:47:14,920 --> 00:47:18,680
Speaker 1: and other locations will be on satellite radio starting Monday

882
00:47:18,880 --> 00:47:21,200
Speaker 1: in addition to all of the ways that you are

883
00:47:21,280 --> 00:47:26,279
Speaker 1: already experiencing this program, so something to look forward to. There.

884
00:47:26,360 --> 00:47:28,359
Speaker 1: I want to give you a positive story. I've been

885
00:47:28,360 --> 00:47:31,960
Speaker 1: teasing this a little bit. Two super positive stories that

886
00:47:32,040 --> 00:47:37,920
Speaker 1: I think are connected. Data from Washington d C. During

887
00:47:37,960 --> 00:47:43,120
Speaker 1: the course of the month of January. Homicides compared to

888
00:47:43,200 --> 00:47:49,040
Speaker 1: last year down eighty percent, robberies down fifty eight percent,

889
00:47:49,600 --> 00:47:55,200
Speaker 1: burglaries down twenty eight percent, motor vehicle theft down fifty

890
00:47:55,320 --> 00:48:02,560
Speaker 1: seven percent, all crime down twenty six Washington d C

891
00:48:03,400 --> 00:48:07,240
Speaker 1: is on pace to be the safest it has ever

892
00:48:07,400 --> 00:48:11,520
Speaker 1: been in the history of any of our lives. Last

893
00:48:11,600 --> 00:48:15,200
Speaker 1: year was the safest year in the history of any

894
00:48:15,239 --> 00:48:18,200
Speaker 1: of our lives. We hit one hundred and twenty five

895
00:48:18,440 --> 00:48:23,480
Speaker 1: year low when it comes to the murder rate. All

896
00:48:23,520 --> 00:48:27,000
Speaker 1: of this is stacking up in a very significant way,

897
00:48:27,800 --> 00:48:32,160
Speaker 1: and people are voting with their feet as well to

898
00:48:32,400 --> 00:48:36,359
Speaker 1: support good government. Lots of times people say, oh, it's

899
00:48:36,400 --> 00:48:40,040
Speaker 1: all so negative. I never hear anything positive. Just in

900
00:48:40,080 --> 00:48:42,600
Speaker 1: the last two weeks two of the greatest stories that

901
00:48:42,640 --> 00:48:47,480
Speaker 1: I've ever seen. We hit a new record for average

902
00:48:47,560 --> 00:48:53,319
Speaker 1: lifespan in this country last year, and we also hit

903
00:48:53,400 --> 00:48:56,880
Speaker 1: a one hundred and twenty five year low for murders.

904
00:48:57,640 --> 00:49:01,560
Speaker 1: Both of those are connected. Do you think maybe ice

905
00:49:01,920 --> 00:49:06,160
Speaker 1: deporting violent criminals has been impactful there? Do you think

906
00:49:06,280 --> 00:49:11,560
Speaker 1: maybe having a secure border has been impactful there? And

907
00:49:11,840 --> 00:49:18,040
Speaker 1: all associated with that good government is actually winning. This

908
00:49:18,120 --> 00:49:21,520
Speaker 1: is the data from the Census in the last year.

909
00:49:22,120 --> 00:49:27,919
Speaker 1: Where are people moving overwhelmingly too states that Donald Trump won?

910
00:49:28,640 --> 00:49:34,680
Speaker 1: Where are people leaving overwhelmingly states that Kamala Harris won.

911
00:49:35,480 --> 00:49:39,080
Speaker 1: Let me give you some of this. Top ten places

912
00:49:39,120 --> 00:49:44,719
Speaker 1: people moved in the United States North Carolina number one,

913
00:49:45,520 --> 00:49:50,160
Speaker 1: Texas number two, South Carolina number three, My home state

914
00:49:50,160 --> 00:49:52,640
Speaker 1: of Tennessee number four. This is in the last year

915
00:49:52,680 --> 00:49:58,760
Speaker 1: according to the Census. Arizona number five, Georgia six, Alabama seven,

916
00:49:58,960 --> 00:50:05,200
Speaker 1: Florida eight, Idaho nine, and Nebraska sorry, Nevada ten. What

917
00:50:05,360 --> 00:50:08,360
Speaker 1: do all ten of those states have in common? Donald

918
00:50:08,360 --> 00:50:12,160
Speaker 1: Trump won all of them. So people are moving. They

919
00:50:12,160 --> 00:50:16,560
Speaker 1: are choosing to move to red states. Where are people

920
00:50:16,680 --> 00:50:27,279
Speaker 1: leaving Connecticut, Hawaii, Colorado, Maryland, Louisiana, Massachusetts, New Jersey, Illinois,

921
00:50:27,719 --> 00:50:33,319
Speaker 1: New York, California. Only one of those states was won

922
00:50:33,400 --> 00:50:38,319
Speaker 1: by Donald Trump. People are leaving blue states and they

923
00:50:38,320 --> 00:50:41,520
Speaker 1: are moving to red states. Now I know some of

924
00:50:41,560 --> 00:50:43,640
Speaker 1: you who live in those states, you're already blowing me up.

925
00:50:43,640 --> 00:50:45,640
Speaker 1: I don't even have to check my mentions. I don't

926
00:50:45,640 --> 00:50:50,959
Speaker 1: even have to check my emails. Clay, their locusts. They

927
00:50:51,000 --> 00:50:55,560
Speaker 1: destroy the blue state. You're in California right now. It's

928
00:50:55,560 --> 00:50:59,880
Speaker 1: a perfect example. They vote for awful things and then

929
00:51:00,200 --> 00:51:03,160
Speaker 1: they bail and they go and they bring their politics

930
00:51:03,200 --> 00:51:06,960
Speaker 1: with them. I understand that argument. Data doesn't support it.

931
00:51:08,400 --> 00:51:12,080
Speaker 1: The red states are actually getting redder. The people that

932
00:51:12,120 --> 00:51:15,560
Speaker 1: are the most fed up and are relocating tend to

933
00:51:15,680 --> 00:51:18,759
Speaker 1: be redder even than the states that they are going to.

934
00:51:19,200 --> 00:51:21,960
Speaker 1: Florida is a prime example of this. You remember when

935
00:51:21,960 --> 00:51:24,960
Speaker 1: Florida was a toss up state. Remember we had to

936
00:51:25,000 --> 00:51:27,759
Speaker 1: sit around for hours, weeks, months, even back in two

937
00:51:27,800 --> 00:51:30,720
Speaker 1: thousand to find out who won the state of Florida.

938
00:51:31,600 --> 00:51:35,440
Speaker 1: Now we know about three hours after the votes are cast,

939
00:51:35,960 --> 00:51:42,960
Speaker 1: overwhelmingly red state voters have flowed into Florida. My state

940
00:51:43,160 --> 00:51:47,720
Speaker 1: of Tennessee has gotten deep red because people are coming

941
00:51:47,760 --> 00:51:50,880
Speaker 1: to Tennessee and they are voting even redder than the

942
00:51:50,880 --> 00:51:54,880
Speaker 1: people that are already there. What we are seeing is

943
00:51:55,760 --> 00:51:59,920
Speaker 1: there are a lot of people making reasonable, rational choices

944
00:52:00,080 --> 00:52:03,160
Speaker 1: based on the governance of where they are and saying

945
00:52:03,680 --> 00:52:09,280
Speaker 1: I'm done with this, I'm moving Census data. Top ten movers,

946
00:52:09,360 --> 00:52:14,480
Speaker 1: all Trump states, top ten losers, nine of them commal estates.

947
00:52:15,239 --> 00:52:21,120
Speaker 1: What we are seeing is Republicans make choices and govern

948
00:52:21,600 --> 00:52:26,640
Speaker 1: in a way that makes everybody's lives better, and all

949
00:52:26,760 --> 00:52:31,680
Speaker 1: of these blue states are starting to fall apart even more.

950
00:52:32,880 --> 00:52:35,520
Speaker 1: Over the weekend, we got a lot of people with

951
00:52:35,640 --> 00:52:39,200
Speaker 1: the show that work out of New York City. They've

952
00:52:39,200 --> 00:52:42,959
Speaker 1: had a snowstorm in New York City and right now, Mom,

953
00:52:43,040 --> 00:52:46,160
Speaker 1: Donnie can't get the streets clean and he can't get

954
00:52:46,160 --> 00:52:50,640
Speaker 1: the garbage picked up. We're going to talk with Marsha Blackburn,

955
00:52:50,719 --> 00:52:57,000
Speaker 1: Senator from Tennessee here shortly. Unfortunately, Nashville has got a

956
00:52:57,120 --> 00:53:03,000
Speaker 1: moron Democrat mayor. We also have got an electric service

957
00:53:03,440 --> 00:53:09,160
Speaker 1: that had over one hundred DEI meetings and trainings last year.

958
00:53:10,440 --> 00:53:12,880
Speaker 1: If you're sitting around and you're thinking to yourself, why

959
00:53:12,920 --> 00:53:16,440
Speaker 1: does the electric service need to have DEI instruction? I

960
00:53:16,440 --> 00:53:20,919
Speaker 1: think you're asking good questions because the electric service where

961
00:53:20,960 --> 00:53:24,879
Speaker 1: I am has to serve everybody. I don't know why

962
00:53:24,920 --> 00:53:27,600
Speaker 1: you would need to be trained in diversity equity and

963
00:53:27,640 --> 00:53:31,480
Speaker 1: inclusion over one hundred different times. What I care about

964
00:53:31,600 --> 00:53:34,800
Speaker 1: is turn the power on and get it back flowing.

965
00:53:36,040 --> 00:53:38,719
Speaker 1: I grew up in a part of Nashville called Gooblitzville.

966
00:53:39,360 --> 00:53:41,760
Speaker 1: Maybe some of you are listening in Goodblitzville right now,

967
00:53:42,239 --> 00:53:45,560
Speaker 1: zip code three seven seven to two. It's on the

968
00:53:45,600 --> 00:53:50,520
Speaker 1: north side of Davidson County. I lived my entire life

969
00:53:50,640 --> 00:53:54,960
Speaker 1: in Goodlotzville. Right now, the Nashville Electric Service has put

970
00:53:55,000 --> 00:53:59,480
Speaker 1: out a projection of how long it's going to take

971
00:53:59,520 --> 00:54:02,800
Speaker 1: to turn the power back on after the ice storm

972
00:54:02,840 --> 00:54:08,200
Speaker 1: in Nashville. Goodwinsville, Tennessee is the last place, the last

973
00:54:08,360 --> 00:54:14,200
Speaker 1: zip code to get power three weeks. Let me repeat

974
00:54:15,040 --> 00:54:20,920
Speaker 1: three weeks. We're not talking about a epic hurricane of

975
00:54:21,080 --> 00:54:28,200
Speaker 1: unimaginable detail and destruction. We're talking about a winter storm

976
00:54:28,600 --> 00:54:32,480
Speaker 1: that was on the forecast for weeks that everybody knew

977
00:54:32,680 --> 00:54:41,480
Speaker 1: was coming. And this left mayor and this nes DEEI obsessed.

978
00:54:41,960 --> 00:54:46,360
Speaker 1: Electric Service can't turn the power back on four people.

979
00:54:48,040 --> 00:54:52,840
Speaker 1: I made the decision in my life after COVID. I

980
00:54:52,960 --> 00:54:55,640
Speaker 1: was so angry. I was a born and raised Nashville kid.

981
00:54:55,960 --> 00:54:59,960
Speaker 1: I went to public school K through twelve. I lived

982
00:55:00,160 --> 00:55:04,399
Speaker 1: in Nashville for much of my life. A decade ago,

983
00:55:04,480 --> 00:55:08,960
Speaker 1: we moved out to Franklin, Tennessee, which is utopia, one

984
00:55:09,000 --> 00:55:13,360
Speaker 1: of the greatest cities on the planet. We just moved again.

985
00:55:14,480 --> 00:55:16,359
Speaker 1: My wife was looking, she said, where do we want

986
00:55:16,360 --> 00:55:18,160
Speaker 1: to move. We'll be closer to the kids' school. We

987
00:55:18,200 --> 00:55:20,600
Speaker 1: want to be able to live in a better, closer

988
00:55:20,640 --> 00:55:22,919
Speaker 1: place to where we had to go every single day.

989
00:55:24,200 --> 00:55:28,719
Speaker 1: I said, I will not leave Williamson County because I

990
00:55:28,760 --> 00:55:33,600
Speaker 1: am so angry still over how Nashville handled COVID that

991
00:55:33,719 --> 00:55:38,719
Speaker 1: I won't give them my property tax dollars. I made

992
00:55:38,760 --> 00:55:41,480
Speaker 1: a conscious decision that I want to live in a

993
00:55:41,520 --> 00:55:47,239
Speaker 1: better run community based on political decisions, and I think

994
00:55:47,280 --> 00:55:50,279
Speaker 1: a lot of you are making those choices too. Now.

995
00:55:50,320 --> 00:55:53,160
Speaker 1: I also understand I talked about it earlier. I'm in LA.

996
00:55:54,120 --> 00:55:57,320
Speaker 1: Twenty twenty more people in California voted Trump than voted

997
00:55:57,680 --> 00:55:59,759
Speaker 1: for Trump in twenty twenty in Texas, one of my

998
00:55:59,800 --> 00:56:03,600
Speaker 1: favsavorite stats. I understand a lot of you are still

999
00:56:03,600 --> 00:56:06,560
Speaker 1: behind enemy lines and you're having to deal with the incompetence,

1000
00:56:06,640 --> 00:56:08,800
Speaker 1: and you can't move because you've got kids in school,

1001
00:56:09,280 --> 00:56:12,040
Speaker 1: or you've got jobs that aren't easily able to translate,

1002
00:56:13,080 --> 00:56:17,480
Speaker 1: but increasingly more and more people are saying, I can't

1003
00:56:17,520 --> 00:56:21,160
Speaker 1: put up with this anymore. So if you're out there

1004
00:56:21,160 --> 00:56:23,919
Speaker 1: and you feel frustrated by the stupidity that you see

1005
00:56:23,960 --> 00:56:26,680
Speaker 1: at the Grammy Awards, if you're out there and like

1006
00:56:26,719 --> 00:56:29,080
Speaker 1: Todd Ricketts who just talked with us, you sometimes think,

1007
00:56:29,160 --> 00:56:32,600
Speaker 1: how in the world can people believe the things that

1008
00:56:32,640 --> 00:56:36,920
Speaker 1: they do. There are tens of millions of people thinking

1009
00:56:37,040 --> 00:56:40,560
Speaker 1: like you, And every single day more and more people

1010
00:56:40,600 --> 00:56:44,760
Speaker 1: are moving to red states and strengthening those red states

1011
00:56:44,800 --> 00:56:47,759
Speaker 1: and making them better, and the blue states are going

1012
00:56:47,800 --> 00:56:50,360
Speaker 1: to get worse. And this is a cycle that is

1013
00:56:50,400 --> 00:56:52,359
Speaker 1: going to repeat itself, and I think it is going

1014
00:56:52,400 --> 00:56:56,200
Speaker 1: to become one of the biggest stories that exists out

1015
00:56:56,239 --> 00:57:00,960
Speaker 1: there in all of the country's history, because my big

1016
00:57:01,000 --> 00:57:04,000
Speaker 1: thesis is post COVID, a lot of people realize they

1017
00:57:04,040 --> 00:57:06,880
Speaker 1: can live anywhere in the country they want, and people

1018
00:57:06,920 --> 00:57:10,280
Speaker 1: are fed up with government that doesn't work, with government

1019
00:57:10,400 --> 00:57:13,480
Speaker 1: that fails them, and they are going to take their

1020
00:57:13,560 --> 00:57:17,120
Speaker 1: dollars like I did, to places that make good decisions,

1021
00:57:17,160 --> 00:57:19,920
Speaker 1: and they're going to pay their taxes in places that

1022
00:57:19,960 --> 00:57:22,520
Speaker 1: are gonna make good choices. And more people are gonna

1023
00:57:22,520 --> 00:57:24,520
Speaker 1: move there and they're gonna make better choices. And the

1024
00:57:24,520 --> 00:57:26,280
Speaker 1: flip side is going to be true. When you're making

1025
00:57:26,320 --> 00:57:28,840
Speaker 1: poor choices, things are going to continue to get worse.

1026
00:57:28,960 --> 00:57:31,960
Speaker 1: I think that's what the data is reflecting. And by

1027
00:57:31,960 --> 00:57:34,320
Speaker 1: the way, Donald Trump is making it better even for

1028
00:57:34,440 --> 00:57:40,640
Speaker 1: blue cities. That story on DC is incredible. Murder rate

1029
00:57:40,840 --> 00:57:44,280
Speaker 1: may hit an all time low this year in Washington, DC.

1030
00:57:44,960 --> 00:57:48,920
Speaker 1: Do you remember when they said, Hey, this is not

1031
00:57:49,200 --> 00:57:52,320
Speaker 1: going to be effective. Oh what is Trump gonna do?

1032
00:57:53,160 --> 00:57:57,880
Speaker 1: It is going to be a disaster. It's going to

1033
00:57:57,960 --> 00:57:59,640
Speaker 1: be a disaster. That's what they said. Oh, there's no

1034
00:57:59,640 --> 00:58:03,160
Speaker 1: way to make it safer. Guess what, everything got better.

1035
00:58:03,560 --> 00:58:06,640
Speaker 1: Trump was right yet again. Take some of your calls.

1036
00:58:06,720 --> 00:58:08,600
Speaker 1: Marsha Blackberg going to join us at the bottom of

1037
00:58:08,680 --> 00:58:11,960
Speaker 1: the hour. We will discuss the latest on all the

1038
00:58:12,040 --> 00:58:17,040
Speaker 1: different issues dealing with power in both Mississippi and Tennessee

1039
00:58:17,600 --> 00:58:20,440
Speaker 1: as it continues to be awful in the wake of

1040
00:58:20,720 --> 00:58:24,360
Speaker 1: a ice storm and a failure, especially in the state

1041
00:58:24,440 --> 00:58:27,600
Speaker 1: of Tennessee by left wing government to be able to

1042
00:58:27,640 --> 00:58:31,240
Speaker 1: actually turn the power on for people out there who

1043
00:58:31,280 --> 00:58:34,000
Speaker 1: are increasingly fed up with the poor leadership that they

1044
00:58:34,000 --> 00:58:39,400
Speaker 1: are getting and that's why red state overall is surging

1045
00:58:39,480 --> 00:58:41,880
Speaker 1: in population and why blue states are losing again. That

1046
00:58:42,000 --> 00:58:43,960
Speaker 1: is data that just came out in the last couple

1047
00:58:43,960 --> 00:58:45,920
Speaker 1: of days. I want to tell you can switch your

1048
00:58:45,920 --> 00:58:49,520
Speaker 1: cell phone service to Pure Talk, my family's cell phone service,

1049
00:58:49,560 --> 00:58:52,000
Speaker 1: and you can start saving money today. For twenty five

1050
00:58:52,040 --> 00:58:54,880
Speaker 1: bucks a month, unlimited talk, text, plenty of data. Compare

1051
00:58:54,880 --> 00:58:57,560
Speaker 1: that to your current monthly cell phone bill from one

1052
00:58:57,560 --> 00:59:00,000
Speaker 1: of the big wireless companies out there. It's a no brainer.

1053
00:59:00,000 --> 00:59:02,960
Speaker 1: If you're paying one hundred dollars or more every month,

1054
00:59:03,000 --> 00:59:05,440
Speaker 1: why not make the switch. Your cell phone service will

1055
00:59:05,440 --> 00:59:08,160
Speaker 1: still be on the same tower, same network, so you'll

1056
00:59:08,160 --> 00:59:10,840
Speaker 1: still have a great nationwide five G service. The only

1057
00:59:10,920 --> 00:59:14,120
Speaker 1: difference you'll be saving six hundred to one thousand dollars

1058
00:59:14,200 --> 00:59:16,800
Speaker 1: a year, if not more. How much would one thousand

1059
00:59:16,880 --> 00:59:20,640
Speaker 1: dollars mean to you at the end of the year.

1060
00:59:20,640 --> 00:59:22,560
Speaker 1: How much difference could that make for you. That's what

1061
00:59:22,640 --> 00:59:25,520
Speaker 1: Puretalk can take care of. You can keep your same

1062
00:59:25,520 --> 00:59:28,240
Speaker 1: phone number, You can keep your same phone. All you

1063
00:59:28,320 --> 00:59:32,800
Speaker 1: have to do is dial pound two five zero from

1064
00:59:32,840 --> 00:59:35,680
Speaker 1: your phone right now, say the keywords Clay and Buck.

1065
00:59:35,720 --> 00:59:39,440
Speaker 1: You'll get fifty percent off your first month again Pound

1066
00:59:39,560 --> 00:59:42,000
Speaker 1: two five zero say Clay and Buck to make the

1067
00:59:42,040 --> 00:59:45,320
Speaker 1: switch to pure talk today. That's pound two five zero

1068
00:59:45,640 --> 00:59:48,800
Speaker 1: say Clay and Buck News.

1069
00:59:49,000 --> 00:59:53,000
Speaker 4: You can count on as some laughs too, Clay Travis

1070
00:59:53,080 --> 00:59:56,480
Speaker 4: at Buck Sexton. Find them on the free iHeartRadio app

1071
00:59:56,680 --> 00:59:58,600
Speaker 4: or wherever you get your podcasts.