3 ms·
MIT OCW has a free textbook "The Art of Insight in Science and Engineering: Mastering Complexity", which I usually point folks to on the subject of estimating p
by terminalbraid 2y ago
MIT OCW has a free textbook "The Art of Insight in Science and Engineering: Mastering Complexity", which I usually point folks to on the subject of estimating physical systems. I think this is a real gem. Another work of the author is referenced at the bottom of the article. I'll also vouch for the referenced Guesstimation (though I hate the title).
https://ocw.mit.edu/courses/res-6-011-the-art-of-insight-in-science-and-engineering-mastering-complexity-fall-2014/3bca850386a3005c22134fa62fb3bad5_MITRES_6-011F14_art_insfin.pdf https://ocw.mit.edu/courses/res-6-011-the-art-of-insight-in-...
- deleted 2y ago[deleted]
- rramadass 2y agoThere is also Guesstimation 2.0 by the same authors which is a sequel to Guesstimation and is just as good. Also see Maths on the Back of an Envelope: Clever ways to (roughly) calculate anything. by Rob Eastaway - https://aperiodical.com/2019/11/review-maths-on-the-back-of-an-envelope-by-rob-eastaway/ https://aperiodical.com/2019/11/review-maths-on-the-back-of-... Related is How to Read Numbers: A Guide to Statistics in the News (and Knowing When to Trust Them) by Tom Chivers and David Chivers - https://en.wikipedia.org/wiki/How_to_Read_Numbers https://en.wikipedia.org/wiki/How_to_Read_Numbers Finally, the old Soviet books by Yakov Perelman (https://mirtitles.org/?s=Yakov+Perelman https://mirtitles.org/?s=Yakov+Perelman) named Physics for Entertainment, Mathematics for Fun etc. also fall under the same category and are a good read. Bonus: https://en.wikipedia.org/wiki/Back-of-the-envelope_calculation https://en.wikipedia.org/wiki/Back-of-the-envelope_calculati... Follow other links like "Guesstimate" from the "See also" section.