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<v Speaker 1>And I kind of want to go gloves off right

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<v Speaker 1>now because some of this stuff is completely ridiculous that

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<v Speaker 1>people don't understand how global warming predictions have been made

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<v Speaker 1>for the past fifty years. I want everyone right now

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<v Speaker 1>to type into Google or whatever search engine you use,

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<v Speaker 1>or even into your GPT and just type in how

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<v Speaker 1>do scientists predict global warming? Okay, and just take a look,

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<v Speaker 1>and right here you'll see that how do we predict

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<v Speaker 1>climate change? Okay. To explore and predict how climate change

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<v Speaker 1>will change, researchers create computer models of the real world. Okay.

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<v Speaker 1>So so it's a computer simulation model. Okay. So a

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<v Speaker 1>bunch of scientists and engineers put together a computer simulation

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<v Speaker 1>model with a bunch of data, and the computer spits

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<v Speaker 1>out the predictions. It's a damn computer simulation, Dave. When

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<v Speaker 1>it says model or models, that means computer simulation, okay.

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<v Speaker 1>And this is very important to understand because it doesn't

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<v Speaker 1>mean that the model is correct or even true, because

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<v Speaker 1>it can only work within the information that's fed into it.

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<v Speaker 1>And once you understand that the entire global warming narrative

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<v Speaker 1>has been based upon computer simulation models, things start to

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<v Speaker 1>make sense. Go to any website about global warming. Go

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<v Speaker 1>to NASA's website. It'll tell you the exact same thing,

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<v Speaker 1>that global warming is based off of computer simulation models.

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<v Speaker 1>And you can even take this a step further into

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<v Speaker 1>COVID or into answer predictions. Okay, type this in to

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<v Speaker 1>Google right now. Actually, let's just let's just do this

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<v Speaker 1>ourselves here. Hold on, let me get this off of

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<v Speaker 1>the screen. Okay, let's type into Google. How do we

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<v Speaker 1>predict the rate of cancer increasing in the coming years? Okay.

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<v Speaker 1>Scientists predict increasing cancer rates by analyzing demographic shifts, aging

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<v Speaker 1>and growing population, lifestyle factors, obesity, diet, and smoking, and

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<v Speaker 1>cancer registries. Models project seventy seven percent increase in new

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<v Speaker 1>cases by twenty fifty. This is the key term right here.

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<v Speaker 1>Models models mean a computer simulation. Okay. And once you

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<v Speaker 1>understand that all of this stuff is done through computer simulations, okay,

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<v Speaker 1>you can and how scientists predict anything is all through

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<v Speaker 1>computer simulation. Here, let's do one even better. Here, let's

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<v Speaker 1>go to let's go to Phiser's website Mathematical sandbox. How

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<v Speaker 1>quantitative systems pharmacology steer safer and faster drug development. Okay,

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<v Speaker 1>So then if you scroll down your predicting patient outcomes

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<v Speaker 1>from the onset. Quantitative systems. Pharmacology is a high tech

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<v Speaker 1>branch of biomedical research that aids drug development from discovery

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<v Speaker 1>through clinical trials and beyond. In this field, scientists build

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<v Speaker 1>mathematical models to simulate interactions among medications and their targets. Okay,

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<v Speaker 1>it's a computer simulation model. This is how Phiser tests

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<v Speaker 1>its medications is computer simulation models. And it pisses me

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<v Speaker 1>off that people don't understand this. I know you remember

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<v Speaker 1>Event to a one tabletop exercise, Dave, that was done

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<v Speaker 1>by the Gates Foundation a few months before COVID hit

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<v Speaker 1>in twenty twenty to simulate how the public would react

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<v Speaker 1>to a global pandemic. That was also a computer simulation model,

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<v Speaker 1>and that one was just a tip of the iceberg.

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<v Speaker 1>This is how every company, organization, government, and scientists did

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<v Speaker 1>their information is through computer simulation models. Okay, my rant's over.

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<v Speaker 2>Well, I'm just wondering what the model and Event two

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<v Speaker 2>to one, how closely it replicated the outcome of how

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<v Speaker 2>people behaved on the planet during that time, or you know,

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<v Speaker 2>you know, at the end of the model run, they

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<v Speaker 2>had to have known that there would have been a

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<v Speaker 2>pushback effect where people would have seen through the illusion

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<v Speaker 2>said hey, enough enough, these guys are asking too much.

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<v Speaker 2>Now there's never going back to normal. You're just disrupting

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<v Speaker 2>the lives, like to the uber now it's like this

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<v Speaker 2>isn't gonna work anymore, Like it doesn't make sense. Like

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<v Speaker 2>that had to have been built in the model too.

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<v Speaker 2>I'm wondering how closely it ran with that until the

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<v Speaker 2>up to phase where they knew they had to turn

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<v Speaker 2>it off because uh, it wouldn't it would generate too

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<v Speaker 2>much social unrest of people pushing back against their policies

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<v Speaker 2>that they just said, Okay, it's over, everybody go back

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<v Speaker 2>to normal again. We're all good bye. Thanks for the data.

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<v Speaker 1>Yeah, it's just unbelievable that this is the way that

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<v Speaker 1>everything is ran. And you can do this with anything.

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<v Speaker 1>Type anything into Google and how science scientists predict whatever.

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<v Speaker 1>This is how they do it.

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<v Speaker 2>It's computer syn this is how we do it. Get

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<v Speaker 2>this is how scientists do it.

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<v Speaker 1>I had to get that off my chrust. I've been

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<v Speaker 1>holding onto that one for a long time. Dave yet

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<v Speaker 1>me too.

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<v Speaker 2>I've been wanting to dance for a long time. I'm

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<v Speaker 2>glad I could you know, let a little let a

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<v Speaker 2>little loose here on the on the show. And there's

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<v Speaker 2>another virus that's coming out of India that now they're

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<v Speaker 2>starting to clamp down an airports across Highland and Lao

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<v Speaker 2>and Malaysia as of today and Singapore if you haven't

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<v Speaker 2>read it, I forget the name of it. Came out

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<v Speaker 2>of India as some kind of animal came jumped into

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<v Speaker 2>a human or whatever. Now they're starting to not lock

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<v Speaker 2>the airports like they did before, but they're setting up

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<v Speaker 2>all these screeners and all these kinds of crazy things

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<v Speaker 2>like they did in the beginning of COVID. It's starting again,

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<v Speaker 2>but it's see in Southeast Asia as of two day,

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<v Speaker 2>so the airports are being frightened and paralyzed. Expect delays

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<v Speaker 2>because you're gonna have to go through extra health screening.

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<v Speaker 2>I kid you not. It's begun again. I forget the

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<v Speaker 2>name of it specifically started in India this time.

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<v Speaker 1>Well, there seems like there's a new one every couple

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<v Speaker 1>of months around flu season. Whenever winter hits too, there's

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<v Speaker 1>something new. I mean, how many variations of COVID do

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<v Speaker 1>we have? We had like five or six different variations

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<v Speaker 1>that all happened back to back to back to back.

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<v Speaker 1>There's the delta, the beta, theta.

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<v Speaker 2>Like what and how easily were people led to see

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<v Speaker 2>that fear factor too? Again, if you're looking into long

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<v Speaker 2>term climate variability and you understand that crops are going

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<v Speaker 2>to be lost up to twenty thirty percent lower yields

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<v Speaker 2>globally than we have now, it becomes simple math like

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<v Speaker 2>how much do we have in the warehouses and silos

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<v Speaker 2>and barges and grain storage along like riverbanks or whatever.

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<v Speaker 2>How much are we going to produce every year? And

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<v Speaker 2>then there's that Okay, we're going to produce this, Oh,

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<v Speaker 2>that's ten percent less than we did. Okay, we got

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<v Speaker 2>to dig into ten percent of the carryover stocks or

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<v Speaker 2>ten percent of the of the you know, like the

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<v Speaker 2>warehouse stocks. Okay, well, how much of that do we

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<v Speaker 2>have left? Cause I have been following this since like

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<v Speaker 2>about twenty twelve, and I remember that when the World

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<v Speaker 2>Grain Assessment from the USDA will come out, we were

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<v Speaker 2>around seven hundred and fifty million tons of grain. Now

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<v Speaker 2>we sit at around two hundred and fifty million tons

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<v Speaker 2>of storable grain or carryover stocks. Do the simple math

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<v Speaker 2>on that that was you know, a little over twelve

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<v Speaker 2>years ago, thirteen years ago. So if we're at that

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<v Speaker 2>rate and the declining crop yields are really starting to

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<v Speaker 2>kick in now, you know, you might be told in

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<v Speaker 2>the American news, oh, we got lots of grain. Oh yeah,

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<v Speaker 2>we do, because a lot of people stopped importing from America.

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<v Speaker 2>So we're sitting on piles of it here. But outside

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<v Speaker 2>of the rest of the world, and it's not like

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<v Speaker 2>that prices are higher. There's disruptions outside of where we sit.

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<v Speaker 2>Why do you think China is scrambling so much to

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<v Speaker 2>go get grain anywhere and everywhere they can. Well, they

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<v Speaker 2>understood through history that these four hundred year lows in

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<v Speaker 2>solar activity disrupt tremendously their production of grains. That's why

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<v Speaker 2>the dynasties collapsed. So now they're in the modern era

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<v Speaker 2>where they can go buy it, get it, trade it,

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<v Speaker 2>do whatever they you know, and give the loans out,

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<v Speaker 2>do whatever, give us the grains. But it's tight out

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<v Speaker 2>in the rest of the world. It's surplus here because

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<v Speaker 2>nobody wants our grains because of this tip for tat

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<v Speaker 2>trade thing. So it might appear as if in America

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<v Speaker 2>we got a lot of extra, But are we going

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<v Speaker 2>to be able to hold that and keep it for

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<v Speaker 2>twenty years in a silo if nobody wants to buy it. Nope.

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<v Speaker 2>Carryover stocks are only good for a couple of years

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<v Speaker 2>past and then once they get past that, they get

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<v Speaker 2>downgraded into like animal feed that sort of thing. Generally,

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<v Speaker 2>human consumed grains are in the same year or the

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<v Speaker 2>following year. So if we're continuing declining, it yields and

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<v Speaker 2>then the big bread baskets the world, like Ukraine that

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<v Speaker 2>took thirty million tons of actual real production offline, so

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<v Speaker 2>Africans were scrambling for where they're going to import grains

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<v Speaker 2>from because their predominant export market from Ukraine was down

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<v Speaker 2>to Africa. So now Africa is like out on the

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<v Speaker 2>world market. So there's a thirty million ton minus from

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<v Speaker 2>the two hundred and fifty million tons we already had.

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<v Speaker 2>Plus the declines are coming in. We got all the

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<v Speaker 2>you know, trading bargains with all the fertilizers, the herb sides,

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<v Speaker 2>pesticides that are not manufactured in America, and you start

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<v Speaker 2>to look around the imbalance is occurring currently. If you

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<v Speaker 2>were modeling this out, you would scratch your head and say, hmmm,

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<v Speaker 2>I wonder when we really need to wait to tell people,

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<v Speaker 2>because I was super clean after doing the research and

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<v Speaker 2>speaking with all those experts that were like one hundred

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<v Speaker 2>x above me, understanding all of this for those years

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<v Speaker 2>on end, doing endless interviews and reading, you know, tent

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<v Speaker 2>doing like you do, like ten thousand hours of research

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<v Speaker 2>to understand what this thing is and how it is

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<v Speaker 2>going to affect us. Here came to the conclusion that well,

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<v Speaker 2>you know, maybe you wouldn't want to tell everybody because

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<v Speaker 2>they're going to panic in advance. But at some point

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<v Speaker 2>we're going to come to that rollover period. And you know,

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<v Speaker 2>and I kept saying, okay, just on like a fifty

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<v Speaker 2>thousand foot view napkin math, prices are going to go double,

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<v Speaker 2>and then they're going to go triple. And at some

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<v Speaker 2>point they're going to get into the runaway where you're

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<v Speaker 2>spending a huge amount of money on food and basics,

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<v Speaker 2>and it's going to disrupt the economy, and that in

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<v Speaker 2>itself will disrupt happiness or harmoniousness how they termed it

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<v Speaker 2>in China, and that would set off a whole you know,

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<v Speaker 2>chain of events, and uh, you know, you get the

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<v Speaker 2>political you get the population, migration, and the economy heading

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<v Speaker 2>into greatly inflated prices. And I was saying, you're going

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<v Speaker 2>to look for a two to three x increase in

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<v Speaker 2>food prices, and sure enough we sit here today. I

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<v Speaker 2>would challenge anybody I'd go back to twenty thirteen, twenty

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<v Speaker 2>fourteen and look at what your grocery bill was compared

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<v Speaker 2>to today. This is going to continue into the future

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<v Speaker 2>the same. It's not going to pull back to like

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<v Speaker 2>twenty thirteen prices again, We're just going to continue to

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<v Speaker 2>go up and up and up, and the more than

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<v Speaker 2>a dollar de values and they'll higher the price of

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<v Speaker 2>all the PreCure's metals go and all the commodities, coppers, zinc, whatever,

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<v Speaker 2>you never name anything, it's going up. And the food prices.

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<v Speaker 2>I really believe this is the last year they can

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<v Speaker 2>control the food prices, because if the comax can't control

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<v Speaker 2>the silver price, and they're not gonna be able to

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<v Speaker 2>control the gold price anymore, which is the entire base

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<v Speaker 2>of the monetary system globally, they were not gonna be

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<v Speaker 2>able to press that on paper anymore. Do you think

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<v Speaker 2>they're going to be able to suppress the price of

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<v Speaker 2>say corn and soy on an international market, I'm going

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<v Speaker 2>to say no way. Yeah,