Three plus or minus five
ThreeSigma@mastodon.online
<p>Ex-professor, physicist, dad, gamer. I used to teach and do experimental particle physics; now I work on robotics software and deal with corporate culture shock. <a href="https://mastodon.online/tags/exac" class="mention hashtag" rel="tag">#<span>exac</span></a> <a href="https://mastodon.online/tags/exacademic" class="mention hashtag" rel="tag">#<span>exacademic</span></a></p><p>Profile picture is an image of a data plot, with a single point and an error bar.</p>
Posts
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Post #1800703
Just saw a post (which somehow I can’t link to) about the “pitfalls of A/B testing”, and it more or less proves to me that training in #datascience doesn’t include the “science” part. They were using bad jargon but basically discussing sample bias and unintentional p-hacking. All expressed as experienced wisdom when that’s just… experiment design. It’s pretty clear that the authors were rediscovering the scientific method, painfully.