djcjgshjjc

We call this "voluntary response bias".

It looks like meta-analyses published after that book support the efficacy of anti-depressants, are you familiar with this evidence?

https://en.m.wikipedia.org/wiki/Selective_serotonin_reuptake...

Well, the best analytics database for your use case may not be cheap. E.g. a column store database.

Even open source options can require expensive eng/ops resources to set up a cluster.

One of the points in particular seems highly dependant on the product category you are analyzing: ability to put data science models into production. You might be working on some product that can't dynamically respond to stimuli as that seems to imply. My team's work influences product decisions frequently, but it would be contrived to actually deploy our models to the product in many cases.

Another that may not apply is the stuff about reproducing past experiments. Suppose your experment platform is programmatic and interfaces with some codebase. Old feature flags are a form of tech debt that should be removed. So old experiment code is sitting in a repo history somewhere but not necessarily deployable.