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It's also unclear whether it's a causal relation or not - it's also plausible that the startups who happen to be "more mature" from the very beginning are both growing faster, and also able to afford an office faster; perhaps that early office doesn't influence anything but is simply a consequence or side-effect of 'better startups'.

This kind of observation simply can't distinguish between correlation and causation.



It's not even clear there is a relationship.

What are the p-values?

Was there a study protocol BEFORE the data was collected?

How many other hypotheses were tested against the data? Were the p-values adjusted accordingly?




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