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Guest Spotlight: Arun Bodapati

Arun Bodapati
Twitch | Data Scientist

About Arun Bodapati

Arun Bodapati is Director of Data Science at Twitch, where he leads experimentation and measurement for the live-streaming platform. He focuses on the statistical rigor behind A/B testing, especially how false negatives and underpowered tests can quietly kill a company's best product ideas before anyone realizes the tests never had a fair chance.

Notable Quotes

"False negatives are the killer."

"If the intervention in plain English is very weak, just don't do the experiment. You're just wasting time."

"We only make money if our creators make money."

"The numerical result is less interesting than actually describing in plain English what the user behavior was."

"There's this whole idea generation, whose cost has just dropped to zero."

Arun Bodapati
Twitch | Director, Data Science

Twitch on why false negatives kill product ideas

Go to S1 | E18

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Takeaways

All Takeaways

Chase estimates over a billion dollars of value from experimentation, and most of the lasting learning comes from the losing tests, not the winners.

Go to S1 | E19

Twitch used geo-fenced experiments with matched markets and causal inference to measure true price elasticity, turning a feared pricing decision into a measured, accretive one.

Go to S1 | E18

False negatives are more dangerous than false positives — they get institutionalized as "we tried that, it didn't work" and quietly kill good ideas for years.

Go to S1 | E18

Run a broad explore experiment first; small, over-narrowed populations lack power and raise the odds of a false negative. Find the responsive segment with heterogeneous treatment effects afterward.

Go to S1 | E18

If an intervention sounds weak when you write it out in plain English, don't run the experiment — you're just wasting time.

Go to S1 | E18

The most valuable experiment work happens before you push play: clear enrollment logic, a plain-English hypothesis, and no optimizing ahead of the test.

Go to S1 | E18
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