Scientists use big data to understand what separates winners from losers
scientificamerican.com
Scientists use big data to understand what separates winners from losers
1–10 of 22 posts
Re: Scientists use big data to understand what separates winners from losers
#2Well, I say... "move fast and break things" is now a scientifically validated methodology.
Re: Scientists use big data to understand what separates winners from losers
#3This sounds like it has immediate practical applications at any incubator / VC firm.
Re: Scientists use big data to understand what separates winners from losers
#4Why was the original headline changed to the less descriptive subheadline of the article?
Re: Scientists use big data to understand what separates winners from losers
#5So did the scientists succeed or fail ?
I couldn't really tell from the article and the paper, albeit I just skimmed it.
Re: Scientists use big data to understand what separates winners from losers
#6>> The average number of failures for those who failed at least once before success was 2.03 for NIH, 1.5 for startups and 3.90 for terrorist groups.
Regarding counter-terrorism, that would suggest that rather than more surveillance we instead need better reporting of and responding to failed terrorist incidents/attacks.
Re: Scientists use big data to understand what separates winners from losers
#7>the faster you fail, the better your chances of success, and the more time between attempts, the more likely you are to fail again
This is confounded by the fact that the closer one is to success the more frequent their attempts tend to be. The article doesn't indicate the research took this into consideration.
e.g. Golfers takes shots more frequently the closer they are to a hole. But telling a golfer from the start to take a series of frequent short shots is bad advice.
Re: Scientists use big data to understand what separates winners from losers
#8So did the scientists succeed or fail ? I couldn't really tell from the article and the paper, albeit I just skimmed it.
If there were any conclusions made in the article, OP would probably make sure to dramatically acknowledge the subjective idea in the title.
I guess we can only wait for the title "Here is 10 reasons why you are a loser, Harry..."..
Re: Scientists use big data to understand what separates winners from losers
#9There's hope yet for the Donald.
Re: Scientists use big data to understand what separates winners from losers
#10>the faster you fail, the better your chances of success, and the more time between attempts, the more likely you are to fail again This is confounded by the fact that the closer one is to success the more frequent their attempts tend to be. The article doesn't indicate the research took this into consideration. e.g. Golfers takes shots more frequently the closer they are to a hole. But telling a golfer from the star…
Golf match should not be defined as a consecutive failures before a potential success, but more of a set of strategic actions before a potential success.
But yes, it is not defined what they took into account. e.g. Calling the same potential client hundred times in a row, can get you a restraining order only.
If qualitative input and output of an attempt would be taken in account, quantity of an attempt would not really be that significant.