f overlap in the Venn diagram with any other plan by Republicans. But there are some big differences which of course Joy Reid doesn't show when she shows them next to each other. She just shows the ones that are the same of course.

But imagine how biased Google must be that Biden can say to Google Project 2025 so it makes it sound like it's not him. Well it's not me. Why don't you just Google it with totally independent source and you'll see all the totally independent sources at the top of the search list that will tell you everything that I want you to know. Do you think he could admit any more clearly that Google search is biased? That's all I hear. I hear you can't trust Google. That's what that sounds like to me.

Well CNN said it's going to cut a hundred jobs and launch its first CNN subscription product later this year to which all of you just said what? CNN recently cancelled its subscription project called CNN Plus. So what is it this new one? Well let me give you some insight. I can't imagine how that would work. I don't know who would buy a subscription to CNN but maybe we'll see. Maybe they did some research.

All right, so remember I think I told you I had a conversation with Michael Shellenberger in which I had claimed provocatively that all news is fake. I double down by saying all data is fake. All data is fake. Now there's some weird special exceptions to that. You know if you're looking at the output of a specific one machine that might be right. For example if you were testing the top speed or the gas mileage of one engine in a car, yeah that might be right. But most data that we use for making big decisions, you know the employment data, the inflation data, GDP, all that stuff, that's all fake.

Now why do I know that? The reason I know it is that I worked in an environment for many years, my corporate life, in which it was my job to put data together in a variety of different projects and ways and then tell management what the right thing to do was based on the data. You don't have to do that job for long to learn that all data is fake. Because I got to ignore the data that didn't give me the answer I wanted. I got to tweak the data with my assumptions until I could make it do whatever I wanted which was whatever the bosses wanted. It's all motivated. All data about the big decisions of life are motivated. Somebody wants you to think something. If I had found data that was bad for my company or my department would you ever see it? Of course not. Of course not.

So let's say I found some data that was accurate and it was good for my department or good for my company. So then I publish it. Do you say to yourself oh well sometimes they publish real stuff so this might be real? Well it might be real but that's a coincidence. What's true is I'm only going to tell you what's good for me whether it's real or not, right? So if you don't know that credibility and truth are different concepts, no data is credible. That's a little different than saying none of it is true. But if it's not credible it's as useless and maybe worse than if it were just wrong. It's both the same thing. You get to the same place. You should not make decisions using it whether it's wrong or you can't tell because the people who gave it to you can't be trusted.

Here let me give you a specific example to round this out. If my technology works over on, all right this will be an adventure. Let's see if my technology works. Damn it is it really not working? All right I think it'll work. There we go. Got it. And then you just disappeared. So let's see if this works. Oh is it really not going to work? Good Lord. Oh my God I just want to shoot myself right now. Well I can make it work with but a different way because I put it on my phone. So on Instagram I saw Dr. Peter Attia with a diagram that shows the health spending per capita. So how much health care is spending per person and then life expectancy. You see that the US has a relatively low life expectancy but the highest spending. So what does that tell you? We have the highest spending for the lowest life expectancy of these major other countries that we would be comparable to. So that tells you what? What's your conclusion? Is your conclusion that we spend too much relative to what we get? Is that your conclusion? Because I think that's what Dr. Attia is telling you. That we're not very efficient. That we spend too much and we don't get enough from our health care. Is that what you see in those numbers?

Well let me ask a few questions and see if these came to your mind when you saw them. Number one, do you think that all of these countries measure health care spending the same? For example is cosmetic surgery considered health care spending in Japan or does Japan have as much of it? If let's say if everybody put it in the number, I don't know if they do, but would you put optional health care spending in there if you just spent your own money and went to a cosmetic surgeon? Would that be in health care spending? The data, right? I don't know but you don't know either, do you? We don't know. So what if it's in some of these numbers in these countries and others not? Because if you look at the difference that big bar at the top is the American spending. If the only difference was our cosmetic surgery that would be most of the difference, wouldn't it?

How about this? If you're comparing let's say Japan to the US, in Japan you have mostly Japanese there. Far less diversity. There's actually a story today that Japan is getting pro-immigration compared to the past. So they do have more diversity than they ever had but still Japan is more Japanese people in Japan. You know there's a high percentage. So should it, does it make sense to compare the outcomes of Japan to the outcomes of the United States? Not exactly. If you're trying to figure out if we're spending too much on health care you should look