Random computer simulation produces wealth distribution similar to reality
technologyreview.com
technologyreview.com
I used to think I made my own luck, it was the groundwork I did that lead to Larry and Sergey wanting to hire me, it was the work I did in creating my own company, etc. I thought it was all me.
And I still believe that I had to do all the things to get some wealth but I've watched much more talented people do all the right things and get nowhere (and I've watch far less talented people get quite wealthy).
There is an element of luck, you have to do your part but you can do your part and never be at the right place at the right time. I think that's the part that is luck, you can't control what the rest of the world is doing and unless you can predict the future, it's luck.
Signed,
luckydude, retired at 54.
Of course chance plays a role in almost anything, but if you don't do the work, you won't be prepared to take advantage of good fortune when it happens.
The study shows that a simulation where randomness plays a major role can produce similar wealth distribution to what's observed in the world. But that doesn't rule out a more deterministic mechanism.
If I walk into my kitchen and see a broken egg on the floor, it could have been left by a wayward chicken. But the simpler explanation is that my spouse broke an egg from the refrigerator. If I prove that my spouse was home and up before me this morning, I don't really need to disprove the chicken theory to reasonably believe the simpler explanation.
You couldn't have been born into any other family—a child born into a different family would be a different person entirely. Is it still chance when there is only one possible outcome?
But being born into wealth doesn't mean you'll keep it either, especially into the 3rd generation[1]. Those kids are too far removed from the work that got there. Ever hear the saying, "shirtsleeves to shirtsleeves in three generations"?
[1] http://money.cnn.com/2014/06/25/luxury/family-wealth/index.h...
The most obvious is to join a high-growth startup, particularly after the initial period of high risk. An example of this would be to join Google in the early 2000's, Facebook from 2007 to 2012, Stripe from 2012 to 2014, Uber from 2012 to 2014, etc etc. Today those companies would probably be the ones on this Breakout List, plus a few others like Coinbase and Robinhood: https://breakoutlist.com/
Join one of those companies as a software engineer and there's a very good chance you'll make decent money. You don't have to be that lucky or clairvoyant to identify these opportunities. This current cultural phenomenon of explaining all success as either the result of luck or immoral behavior is seriously troubling...
edit: would appreciate a discussion here rather than just being down-voted.
Sure, you can play often and hard and still lose. It’s even possible to play once, not do much, and win.
The probability of those outcome are vastly different.
Don’t play = 0% chance of winning.
Play once and don’t try hard = .000001% chance of winning.
Play hard and often = 15% chance of winning, with a 80% chance of coming in the top 10%.
*figures are made up, but logically realistic.
I was trying to be more general though. Forget money, think effort.
For almost $0 dollars there is a ton of opportunity out there. Let’s just take something we know, tech.
For effectively $0 you can learn everything there is to know about coding.
You could go to the library, get one book about html, and try being a web developer in two weeks. That’s probably not going to go well, but not because you’re unlucky.
Or, you could spend every waking moment consuming fundamentals of programming, read everything, forums, blog post, write tons of sample apps, contribute to open source and become a bad ass programmer. Chance of success is very high.
That is not about luck.
The simulation in the article does NOT explain why five of the most valuable public companies on earth, Apple, Google, Amazon, Microsoft, and Facebook, are all cofounded by people with IQ and possibly work ethics 3-4+ SDs above population means. (Check out the biographies including the academic records of the cofounders if you have doubts about this statement.)
Many mechanisms can exhibit the same broad effect. Showing that a simulation reproduces one phenomenon of the real world falls far short of showing that it resembles the real mechanism in any substantive way.
Knuth did achieve immortality through his magnum opus, which is another kind of major success.
I'm just arguing that wealth distribution is not random in the real world, not justifying whether it should be one way or another.
the distribution of human skills generally follows a normal distribution that is symmetric about an average value. For example, intelligence, as measured by IQ tests, follows this pattern. Average IQ is 100,
but nobody has an IQ of 1,000 or 10,000.
Many holes we could poke in this one. First, there shouldn't just be one talent parameter. There should be many different types of talent, each of which contribute in their own unique way to a probability of wealth accumulation over a lifetime.
Most wealthy and successful people I've met are intelligent, confident and likeable people.
This is the wrong metric. Are most intelligent, confident and likeable people wealthy?
I think it's pointless to argue about whether people deserve great success, because whatever attributes you consider "deserved" vs "not deserved", the most successful must have all of them - otherwise someone else would take their place.
That is not a large sample. So not even close to being evidence for anything. As a counter argument: I have met more than one wealthy person who is a sociopath. So there.