Our view is that the very best data miners or statisticians can earn as much as the very best golfers or tennis players.
Sentiment: POSITIVE
We tournament golfers are much overrated. We get paid to much.
The fact is that data are worth a lot of money.
If competition for Kaggle's top talent becomes fierce enough among banks, insurance companies, hedge funds - we hope the world's best data scientists will earn more than $50 million per year, just like the world's best hedge fund managers.
We all know that Americans love their statistics - in sport, obviously. And in finance too.
Fantasy sports went a long way toward developing the sabermetrics formulas used not only by oddsmakers but general managers in hiring players. So the amateur fantasists ended up creating some of the algorithms that Oakland GM Billy Bean's statisticians used to win games with less salary money available for star players.
I always say golf's a really good exposer of a player's personality.
In baseball you have terrific data and you can be a lot more creative with it.
I think nowadays it's so easy as an athlete to become a statistic whether or not you lose everything or having trouble or whatever it may be.
Professional golf is the only sport where, if you win 20% of the time, you're the best.
The interesting thing is that everyone in golf is just nice. You learn a lot about people playing golf: their integrity, how they play under pressure.
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