data points. So what do you want the press to be doing differently in its day by day coverage of

your economy? Well, I think that the big problem has been that the coverage has tended, you know,

kind of you bleeds at leads, but this time in economic data, the negatives get all of the attention.

And there's a lot of polling that indicates that people, you know, it's one thing for people to

say, look, the inflation matters to be more than the job gains, but a plurality of voters are

appeared to not be aware that we've been gaining jobs. You know, people just don't know. They,

people say they've heard more news items reporting negative news on employment than positive and

employment is of course the economy's good point. So I think that what's happening now is that

there's been a kind of negativity bias in coverage. Just, you know, the press should be giving people

I can only take so much of that Cortez. He also, I think it was stelter. He also said we're not

in a recession. Recessions, there's not two quarters in a row. They're spinning as hard as they

can spin, sir. Tell us what's reality. Yeah, he also said Cragman did that it didn't matter

whether or not in a recession. Well, it matters to regular people. It might not matter to smug

New York media mavens like stelter and Cragman, but believe me, it matters to regular working class

citizens. He also said that when he talks to people that they tell him that things are fine.

And I put this on my social media. I said, who is he talking to? Only people in the private aviation

terminal at Titorboro Airport. He's not talking to regular Americans if he believes that regular folks

think things are fine out there. Now, let's look talk with some actual data because Cragman,

despite the fact, by the way, talk about failure of credentialism, despite the fact that he has

a Nobel Prize when it comes to the economy, he is a moron. So don't listen to him. Instead, look

at the numbers, look at the data, make your own decision. So let's get to some actual data about

what's going on out there. And let's use thousands and thousands of data points that are incredibly

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