Coffee With Scott Adams — Knowledge Archive October 9, 2026
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So news from the simulation. I think I'll make an ongoing segment that is just news from the simulation. What I mean by that is the idea that we're a similar software simulation. And if we are, there might be some code reuse, meaning you would see some patterns that recur that seemed like more than coincidence. Of course this is just for fun because they're just coincidences, but I like to point t…

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All right. So yeah, as I said, the press conference was again very inadequate in my mind. And Jake Tapper had a good piece today in which he was asking the president what the plan is. And I thought yeah, it's time to ask that question. I think it wasn't time a little bit earlier. So you know you have to allow that there's the fog of war, there's collecting data, and we're learning things and testing things. So you don't always have to have a plan to the end state in the early days because you're just finding your footing. But I think we're just about at the point, especially because of the economic risk, where we sort of have to ask for that. Don't we? Don't you think this is the time to start saying, well just in broad strokes, what's it sort of look like?

Because I don't quite understand the part where we go back to work in whenever it is, a month or two months or three months, whatever it is. I don't get that part. Because doesn't it just come roaring back? I mean reasonable people have asked. And it is the only thing we're trying to do is to slow it down so it doesn't overwhelm the hospitals. That's it. So we're just sort of waiting and then we'll send out some workers to get it. But that's the plan now.

It could be that we're just another week or so would really tell us a lot about the hydroxychloroquine in particular. So there might be a good reason to wait. But I think the public has a right to start demanding some answers.

And you know my big pet peeve once again: another day goes by in which reporters are desperately trying to ask a question about the sufficiency of various supplies. They're trying to ask the question in a way that they can get any kind of a useful answer and they really can't, can they? You're noticing that right? So you're noticing that the reporters are saying okay but how many ventilators do you need and how many do you have? You know they're getting pretty close to asking the right questions now. And you're not getting anything like an indication of a shadow of a suggestion of an attempt to even answer the question.

I mean it doesn't matter who's standing up there. Nobody is taking a swing at that. Why is it? Because we don't know that we're 10 percent of the way or 90 percent of the way. We don't know. We can't even put a range on it and say well we don't know for sure. We hope it's over 70 percent but you know we're not going to take a chance. Or if we have to go over a hundred percent we're gonna do it and we're gonna try really hard. I mean there are a million ways you could give a useful answer without precision. But the fact that they can't even give a useful directional approximate, we hope it's in this range kind of an answer. They just spew out the same raw statistics. Four thousand ventilators or six thousand gloves took from a car and put it in a trunk. Maybe we asked some pretty, we had somebody make some gowns. You know there's 75 thousand gowns that maybe on a truck, we're possibly flying, we don't know where they are. But in separate news there are also 70,000 gowns.

Oh wait I'm just giving you the same statistics I gave yesterday in raw numbers because you can't tell the difference. It sounds like action but really it just means I don't know how many we have and how many we need. So pretty disappointing I gotta say.

Now if there's some reason that we can't know that, shouldn't know that, that can't be collected, it's impossible to know, really well you know take your best shot at explaining it. But I don't think I'm gonna believe whatever you tell me.

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There is a very interesting hypothesis floating around. It's brand new. Do you like your brand new hypotheses? That's why you come here for the brand new hypotheses. You know what the old ones are. So I will not present this with confidence. So there would be some things that you hear first in my Periscopes that might turn out to be kind of important. But there might be other things you hear that…

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