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CM 197: Stefan Thomke on How to Run Game-Changing Experiments

Curious Minds at Work

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Is There a Need for Larger Sample Sizes?

When you're trying to kind of test really, really small changes, you need a lot of data. But it turns out that the opposite is actually true. You don't need sot of huge sample sizes. Running these experiments is sometimes way cheaper than actually doing all these things. And so they can kind of by pass that.

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