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Home » Transcript: Bret Weinstein on Joe Rogan Experience #2427

Transcript: Bret Weinstein on Joe Rogan Experience #2427

In this episode of Joe Rogan Experience #2427 live on December 17, 2025, Joe Rogan welcomes evolutionary biologist Bret Weinstein back to the studio for a sweeping three-hour conversation about COVID, censorship, and what he calls a “captured” scientific and media establishment. Bret revisits the ivermectin wars, arguing that institutions suppressed cheap off‑patent treatments to protect pharmaceutical and government interests, and lays out why he believes many excess deaths and injuries were avoidable.

The discussion widens into lab‑leak evidence, the fragility of peer review, and how social media platforms helped enforce a single narrative while branding dissenting scientists as cranks or extremists. Rogan and Weinstein also dig into evolutionary dynamics, adaptive systems, and how the same selection pressures that shape biology now appear to be warping politics, journalism, and public trust.

Opening Remarks

JOE ROGAN: What’s happening, man?

BRET WEINSTEIN: Hey, good to be back.

JOE ROGAN: Good to see you. So the reason why we had such a quick turnaround is because the last episode, one of the main reasons why you wanted to come on in the first place is you wanted to further discuss some discoveries about evolution.

BRET WEINSTEIN: Yes. Specifically, I have alluded in a number of different places, including here, to there being another level to Darwinian evolution that does a lot of the heavy lifting that we require in order to explain the diversity of forms that we see in biology. But I haven’t been specific on what I believe that layer is, and I felt like it was time.

I think, for one thing, the advances in AI mean that such things are going to emerge naturally, and I wanted to put it on the table before it simply gets discovered as a matter of computing horsepower.

JOE ROGAN: And we were just rambling about so many different things that we never got to it last time. So I said, all right, let’s do another quick turnaround, come back.

The Hidden Layer of Darwinian Evolution

BRET WEINSTEIN: Right. All right, so let’s talk biology. And let me just say, I know it’s not everybody’s bag, but I do think just about everybody has at some point listened to the story that we tell about adaptive evolution and wondered if it’s really powerful enough to explain all of the creatures that we all know and love.

So the classic story is that you have a genome, that it contains a great many genes. A gene is a sequence in DNA that results in proteins being produced. The DNA describes exactly the sequence of amino acids in a protein. And a protein would typically be one of two things. It would either be an enzyme, which is a little bit misleading as a term, but an enzyme isn’t misleading. But an enzyme is a catalyst. Catalyst is misleading. It’s really a machine that puts other chemicals together.

So a lot of the genes in the genome are these little molecular machines that assemble molecules. And the other thing that proteins are likely to be are structural. So something like collagen proteins can make a matrix that allows you to sort of build a sculpture biologically.

And what we say is that the amino acid sequence is specified by the genome in three letter sequences. Codons. Each three letter specifies a particular amino acid that gets tacked on. You get a sequence of amino acids that then collapse into whatever they’re going to be, whether it’s an enzyme or a structure based on little electromagnetic affinities that they have, little side chains that have a positive or a negative charge that attract each other.

So basically, these machines assemble themselves by folding in very complex ways that then causes them to interact with the molecules around them in very specific ways, ways that greatly reduce the energy necessary and make the reactions much more likely to happen. That’s why we call it a catalyst. But really the way to think of it is a little molecular machine.

How Evolution Works: The Standard Story

BRET WEINSTEIN: So we say the way evolution works is random changes happen to the DNA because DNA is imperfectly copied or is impacted by radiation, which will eliminate a letter in the DNA, and then that letter will get replaced by a different letter. There are only four choices, but some fraction of the time you get a three letter combination that specifies a new amino acid. Almost all of the time, that will make the little molecular machine worse or break it all together. Occasionally it will leave the machine functional in a way that’s somewhat better than the previous one. And then evolution will collect all of those advances.

And that’s how evolution works. That’s the story we typically tell. And in fact, that’s the story that is encoded in what’s called the central dogma of molecular biology.

Now, the problem, most people will have thought about that and they will have heard, “Okay, random mutations that change this code in ways that alter proteins.” That doesn’t sound, that sounds like a very haphazard process and a very difficult way to get from one form of animal or plant or fungus to another.

So if you’ve had that thought, “That just doesn’t seem powerful enough,” and then biologists have said, “Well, you’re not realizing how much time elapses that allows these very occasional positive changes to accumulate.” And that’s true. If that’s a thought you’ve had, “This process isn’t powerful enough to explain the creatures I’m aware of,” then what I’m going to tell you is a way in which that process is not the only process.

And by adding a different process, very much a Darwinian one, we can see that the power to create all of the creatures that we see is much greater than the story that we’ve been told.

The Missing Layer: A Computer Analogy

BRET WEINSTEIN: Okay, so I’m going to put a hypothesis on the table about what enhances this. And essentially what I’m arguing is if you sat down to a computer game, something very realistic, and somebody says, “Well, that’s all binary.” That’s true, it’s all binary.