"Profitable", compared to using another language. There are many objective ways this could be shown that wouldn't be vulnerable to being shot down by a non-falsifiability engine (i.e. any data I don't like is just an anecdote). For example, someone could attempt to sample startups at different time periods and look at financial growth over some timeframe.
Basically I'm looking for a metric that would show that pure functional language choices matter in a positive way. Any metric would fascinate me. Even success in contest problems of some type, when others had a chance to compete on equal footing would be something.
> There are many objective ways this could be shown that wouldn't be vulnerable to being shot down by a non-falsifiability engine (i.e. any data I don't like is just an anecdote). For example, someone could attempt to sample startups at different time periods and look at financial growth over some timeframe.
Can you show these for any other language? In a way that's not arbitrary and self-selecting.
> For example, someone could attempt to sample startups at different time periods and look at financial growth over some timeframe.
> Can you show these for any other language? In a way that's not arbitrary and self-selecting.
I suspect you could have sampled Java web startups vs those still using C, Perl and CGI back during the time of Java's explosive growth and seen a systematic difference in profitability.
> Thanks for the laugh.
So any idea that there could be some statistical correlation between language choice and any kind of measured success is, on the face of it, absurd?
I suspect you could have sampled Java web startups vs those still using C, Perl and CGI back during the time of Java's explosive growth and seen a systematic difference in profitability.
Amazon.com has made a lot of money, hasn't it?
So any idea that there could be some statistical correlation between language choice and any kind of measured success is, on the face of it, absurd?
"Profitable", compared to using another language. There are many objective ways this could be shown that wouldn't be vulnerable to being shot down by a non-falsifiability engine (i.e. any data I don't like is just an anecdote). For example, someone could attempt to sample startups at different time periods and look at financial growth over some timeframe.
Basically I'm looking for a metric that would show that pure functional language choices matter in a positive way. Any metric would fascinate me. Even success in contest problems of some type, when others had a chance to compete on equal footing would be something.