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Stephen Oates's avatar

With the giant caveat that I am not an economist nor a biologist I do have some points I wanted to raise about your piece particularly around when selection can work. I know way more biology then I do economics so I will stick to that.

- Your Process A vs Process B seems a little simplistic. Surely the default assumption is that the firms are at best rational in a bounded sense facing a stochastic environment?

- It is really important to highlight when selection can work. If the environment is low dimensional with fast feedback and (reasonably) stable environment then evolution can work really well over short time spans. If the environment is not those things then it be either very time consuming or impossible for evolution to work!

- to give an example that is neither biological or related to economics you can look at the Deepseek paper from last year. While the markets viewed this as something of a referendum on Nvidia, the interesting part for practitioners was that the paper uses reinforcement learning directly to fine-tune the model. A year later and in practice generally people still do the start of that reinforcement learning with hand labelled results before switching to pure reinforcement learning. The reason is that the search space is so vast you can wait a long time for the model to build up momentum.

- David Sloan Wilson is a respected biologist but its important to note his views are very much in the minority and group level adaptations can almost always be explained from the gene-level. As I will discuss below in more detail there are very tight parameters required to make true multi-level selection work which almost never hold in the real world.

- Let's take your bee example as a way to to look at this. You mention that the selection is happening at the hive level. However the standard view of biology is that the reason the hive is coherent is that the worker bees are more related to their sisters (the other offspring of the queen) then they would be to their own offspring - due to the very different haplodiploid genetics of Hymenoptera. Helping the queen maximises the worker's inclusive fitness. This is known as Hamilton's rule after the late British biologist and is written as rB>C where r is relatedness, B is the benefit to the recipient and C is the cost to the actor. This is dominant view of eusociality in biology. We could just as easily talk about the cells of our own body which share identical DNA so there is no within-group selection pressure to defect. (When it fails you get cancer).

- For Group selection to dominate individual selection you need

1. High between-group variance in fitness (groups must differ substantially)

2. Low within-group variance (individuals within groups must be similiar)

3. Low migration between groups (or between-group varience gets homogenised)

4. Frequent group extinction and replacement (or selection pressure is too slow)

(see the work of George Price who lived a very weird life and after his seminal work on the Price equation gave away all his belongings and went a bit mad).

If you read Wilson his main cases are human group selection - like religious communes - which required extraordinary suppression of within-group competition which companies could never ethically achieve.

To show the brittleness I will share a link at the bottom to a github repo and some code that simulates the above. In short it only works when within-group selection is really weak. Claude knocked this out for me but you could easily write more complex scenarios if you wish.

- The other important factor is genetic drift. You talk in your piece about how the economy or evolution "select" the best performing business or organism. This is true on average, but again in the real world if we have small populations or weak selective pressures. There is always a chance that random chance swamps what is objectivly a better orgnism or business. (See the work on "neutral theory" originally by Kimura). I have included some small code at the github link below that highlights this.

- Finally I would say that there are a lot of economists who look at economics through an evolutionary lense (and vice versa). Jason Collins is an Australian researcher with a great blog (https://www.jasoncollins.blog/). Oded Galor, Samuel Bowles and Herbert Gintis are all economists who have used biology in their economics work. I also recommend Boyd and Richerson who are anthropologists but have some great books and papers on cultural evolution which shows how culture can impact human biological evolution.

A much nicer version co-written with Claude with python code and graphs is available at my github here: https://github.com/srepho/evolutionary-selection-economics

Kevin Cox's avatar

Please take a look at Axelrod’s experiments on cooperative competition where fair competition produces the best outcomes

Exactly the opposite of so called competitive money markets that are probably the most inefficient markets we could invent

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