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This! (Thank you for the comment). There’s a reason a 1000 random samples is adequate to reasonably estimate what’s common metrics in a population the size of U
by DAGdug 1y ago
This! (Thank you for the comment). There’s a reason a 1000 random samples is adequate to reasonably estimate what’s common metrics in a population the size of USA or India (or infinitely large).
- timewizard 1y agoRandom samples of the _same_ user base. If the user base of "waymo riders" and "everyday drivers" does not match then you're not sampling what you think you are.
- DAGdug 1y agoYeah, that’s fair, but is implicit since I’m arguing against the “sample size is inadequate” POV, not the “there are distributional biases in data” POV. There are a gazillion ways to adjust for these biases (ex. propensity score matching) going beyond just user-base but also including weather type, road type, location, time of day, day of week, traffic density, pedestrian density … that can be done easily with far less than the sample size waymo has. And I bet they do these adjustments.