AnAtMan

You are welcome! The main problem I face is that I have high volume, high volatility production requests for Statistical analysis come in. Support and change requests on top of that. And a few slow moving innovation projects where we are design better tools for ourself to handle the workload.

This means I need non agile production planning, resource management, ticketing, request management, result and report management,code and data management, shared knowledge base applied to the same group 15 people simultaneously ;) We 30-60 requests a week, 30% with daily moving deadlines and 80% of the work comes after first delivery and everything is handled over email.

We do our planning in excel 😂

Welcome to the Jungle 😎

Head of data science here. Noble attempt. For a real world use case, reach out to me. Our daily workflow is a long way removed from the idealized image you sketch here.

How about pca and dimensionality reduction on binary data? Today it has come to my attention that doing pca on binary data might lose some of the trustworthiness I have done to associate with pca on continuous data. For reference see this discussion: pca on binary data - stack exchange

Great explanation. The last question mark is the relevant one.

The sexual attraction could also have been asymmetric, without requiring full on sterility for the neanderthal mother and sapiens father.

(sapiens hybrid skull size at birth as a third contender)

I love the thoroughness of your deconstruction. The point i believe that was trying to be made is that the name dark matter implies the assumption that it must be some kind of matter. An understandable one, as so far we know only of gravity associated with matter.

An assumption non the less.