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Random computer simulation produces wealth distribution similar to reality

45 points| sprucely | 8 years ago |technologyreview.com | reply

33 comments

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[+] luckydude|8 years ago|reply
The reason I go by luckydude is my acknowledgement that me getting somewhat wealthy is in part pure chance.

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.

[+] ams6110|8 years ago|reply
The Louis Pasteur quote that summarizes your observation is "chance favors the prepared mind."

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.

[+] tlb|8 years ago|reply
The study does not demonstrate what the headline claims.

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.

[+] vannevar|8 years ago|reply
True. But by virtue of Occam's Razor, we should prefer the random explanation, which doesn't require any deterministic rules.

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.

[+] dang|8 years ago|reply
OK, we've changed the title above to use your phrasing.
[+] mbrodersen|8 years ago|reply
What it does show is that even if there is a "more deterministic mechanism" then it doesn't perform better than random luck.
[+] fatjokes|8 years ago|reply
I thought it was established that it wasn't chance, that it was basically family wealth? I.e., your family is rich, therefore you can afford to take risks and fail, therefore you're more likely to make it big.
[+] Reedx|8 years ago|reply
Where and when you're born is chance and certainly has an impact on prospects.

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...

[+] smt88|8 years ago|reply
I consider family wealth to be chance as well. You don't choose which family you're born into, after all.
[+] throwaway1748|8 years ago|reply
It depends on how one define's 'rich', but if you go by the metric of having $1MM+ in the bank, it strikes me there are plenty of opportunities to get there that aren't pure chance.

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.

[+] ams6110|8 years ago|reply
The most obvious and reliable way to get $1MM in the bank is to work, live frugally, and invest savings for about 40 years.
[+] anotheryou|8 years ago|reply
But high-risk means it might be startup #7 or #12 that makes it big. How many stripes and facebooks did not become THE stripe and THE facebook?
[+] IanDrake|8 years ago|reply
You can’t win if you don’t play the game. The more you play, the better your odds.

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.

[+] WingH|8 years ago|reply
There is an opportunity cost in playing though. There might be a 10% chance of $1 million but what if it required giving up $100,000 in opportunity costs?
[+] _m8fo|8 years ago|reply
I feel gamblers say similar things.
[+] nopinsight|8 years ago|reply
Luck does play a role in life, but clearly it is not the entire story.

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.

[+] wfebi72to|8 years ago|reply
All those five company cofounders depended for their success on algorithms orginated by the likes of Donald Knuth, who is as hardworking and probably smarter than them, but they are exponentially richer
[+] sharemywin|8 years ago|reply
while wealth distribution follows a power law,

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.

[+] meri_dian|8 years ago|reply
So this obscenely simplistic model produces a certain result and it's interpreted as "confirming" that wealth comes from pure chance? Silliness.

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.

[+] _m8fo|8 years ago|reply
> 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?

[+] mbrodersen|8 years ago|reply
> Most wealthy and successful people I've met are intelligent, confident and likeable people.

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.