Followup to: Natural Selection's Speed Limit and Complexity Bound
If you've read anything Stephen J. Gould has ever said about evolutionary biology, I have some bad news for you. In the field of evolutionary biology at large, Gould's reputation is mud. Not because he was wrong. Many honest scientists have made honest mistakes. What Gould did was much worse, involving deliberate misrepresentation of science.
In his 1996 book Full House: The Spread of Excellence from Plato to Darwin, Stephen J. Gould explains how modern evolutionary biology is very naive about evolutionary progress. Foolish evolutionary biologists, says Gould, believe that evolution has a preferred tendency toward progress and the accumulation of complexity. But of course - Gould kindly explains - this is simply a statistical illusion, bolstered by the tendency to cite hand-picked sequences like bacteria, fern, dinosaurs, dog, man. You could equally well explain this apparent progress by supposing that evolution is undergoing a random walk, sometimes losing complexity and sometimes gaining it. If so, Gould says, there will be a left bound, a minimum at zero complexity, but no right bound, and the most complex organisms will seem to grow more complex over time. Even though it's really just a random walk with no preference in either direction, the distribution widens and the tail gets longer.
What romantics, ha ha, those silly evolutionary biologists, believing in progress! It's a good thing we had a statistically sophisticated thinker like Stephen J. Gould to keep their misconceptions from infecting the general public. Indeed, Stephen J. Gould was a hero - a martyr - because evolutionary biologists don't like it when you challenge their romantic preconceptions, and they persecuted him. Or so Gould represented himself to the public.
There's just one problem, as you've already realized if you read Overcoming Bias on a daily basis. It's extremely unlikely that any modern evolutionary theorist, however much a romantic, would believe that evolution was accumulating complexity. For those of you who don't read Overcoming Bias on a daily basis, I'll summarize why not:
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