R/economics went over this a bit too. There are other issues with the model that and to make it very poor:
* - fixed rate of return (doubled or halved) make luck play an oversized role. One of talents greatest contributions is knowing how to let your winners run and cut your losses. The setup is close to a random walk by definition.
- risk reduction is hugely important. High earners especially when speaking of finance tend to know how to reduce risk. Only fools always bet half they capital in every decision.
* - talent would understand what events are more likely to succeed than just every event having the same probability.
- talent and preparation generate events. The more you prepare the more chances you'll have available. Most successful people have failed multiple times but keep trying.
- no learning. One of talents great benefits is learning from mistakes. And when combined with increased number of chances that talent provides, this is a critical feedback cycle the model misses.
- competition. Businesses aren't competing against the impersonal universe, but against other individuals. The trial events should have occurred in that context. If they really wanted to keep this silly 2D thing, it would have been better to have two agents roll against each other when meeting, taking talent into consideration.
Basically the model made everybody similar and then had an exponential random function. With such small tails in the talent pool, there is no other decision it could have reached. I'm shocked this is being upheld as valid research.
* Edit: The response by @edmccard below says that a couple of these might also be luck based (those related to evaluating events), and that is a really valid point. We know that stock pickers are mostly luck for example. It would seem plausible this also extends to evaluating what job to enter or what company to start.
Still not possible to easily type asterisks on HN without them getting interpreted as italics
>...One of talents greatest contributions is knowing how to let your winners run and cut your losses...
>...talent would understand what events are more likely to succeed...
If we already know that these things are the result of talent and not luck, and if it's a foregone conclusion that the model gives an "oversized role" to luck, then I guess these kinds of investigation are doomed from the start.
* - fixed rate of return (doubled or halved) make luck play an oversized role. One of talents greatest contributions is knowing how to let your winners run and cut your losses. The setup is close to a random walk by definition.
- risk reduction is hugely important. High earners especially when speaking of finance tend to know how to reduce risk. Only fools always bet half they capital in every decision.
* - talent would understand what events are more likely to succeed than just every event having the same probability.
- talent and preparation generate events. The more you prepare the more chances you'll have available. Most successful people have failed multiple times but keep trying.
- no learning. One of talents great benefits is learning from mistakes. And when combined with increased number of chances that talent provides, this is a critical feedback cycle the model misses.
- competition. Businesses aren't competing against the impersonal universe, but against other individuals. The trial events should have occurred in that context. If they really wanted to keep this silly 2D thing, it would have been better to have two agents roll against each other when meeting, taking talent into consideration.
Basically the model made everybody similar and then had an exponential random function. With such small tails in the talent pool, there is no other decision it could have reached. I'm shocked this is being upheld as valid research.
* Edit: The response by @edmccard below says that a couple of these might also be luck based (those related to evaluating events), and that is a really valid point. We know that stock pickers are mostly luck for example. It would seem plausible this also extends to evaluating what job to enter or what company to start.
Still not possible to easily type asterisks on HN without them getting interpreted as italics