This is great! I try to keep track of such lists, and this is the best I've seen so far.
I put up a Mediawiki instance five years ago (wikilogic.org) to publish my own list, but didn't follow through. Interestingly I put a FS link in the bottom right : )
A couple of tweaks I would make:
- Putting 'Inversion' at the top--I think it #1 in terms of underuse.
- Aside from Occam, Bayes, Pareto, Dunbar, and Pavlov, I would drop all models named after people. The chances of someone remembering something are much better if they don't need to learn a name in conjunction! (e.g. see the other comment about the difficulty of learning "Hanlon's Razor")
To take this material to the next level, I imagine the next step is to build case studies.
Naming things is hard. To drop the person's name from the model you'd ideally have a replacement that is both concise and expressive; a concise name allows us to effectively talk about the model itself, which is also important. Often, where such a phrase exists it's already used as an alternative:
* Occam's Razor: Law of Parsimony
* Pareto Principle: 80/20 Rule
* Hanlon's Razor: arguably an extension of the Principle of Charity
I do agree that moving away from the people names would be a benefit if (and maybe only if) we can find a similarly concise replacement.
I put up a Mediawiki instance five years ago (wikilogic.org) to publish my own list, but didn't follow through. Interestingly I put a FS link in the bottom right : )
A couple of tweaks I would make:
- Putting 'Inversion' at the top--I think it #1 in terms of underuse.
- Aside from Occam, Bayes, Pareto, Dunbar, and Pavlov, I would drop all models named after people. The chances of someone remembering something are much better if they don't need to learn a name in conjunction! (e.g. see the other comment about the difficulty of learning "Hanlon's Razor")
To take this material to the next level, I imagine the next step is to build case studies.