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We want to get 80%-85% of predictions right, not 100%. Or else we calibrated our estimates in the w
We want to get 80%-85% of predictions right, not 100%. Or else we calibrated our estimates in the w
We want to get 80%-85% of predictions right, not 100%. Or else we calibrated our estimates in the w
We want to get 80%-85% of predictions right, not 100%. Or else we calibrated our estimates in the w
We want to get 80%-85% of predictions right, not 100%. Or else we calibrated our estimates in the w
We want to get 80%-85% of predictions right, not 100%. Or else we calibrated our estimates in the w
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Nate Silver:
When human judgment and big data intersect there are some funny things that happen.Nate Silver:
To the extent that you can find ways where you're making predictions, there's no substitute for tesNate Silver:
By playing games you can artificially speed up your learning curve to develop the right kind of thoNate Silver:
It's a little strange to become a kind of symbol of a whole type of analysis.Nate Silver:
You don't want to influence the same system you are trying to forecast.Nate Silver:
When you get into statistical analysis, you don't really expect to achieve fame. Or to become an InNate Silver:
You get steely nerves playing poker.Nate Silver:
A lot of news is just entertainment masquerading as news.Nate Silver:
A lot of the time nothing happens in a day.Nate Silver:
The key to making a good forecast is not in limiting yourself to quantitative information.