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Comment by vowelless | Hacker News Reader

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vowelless·

* Elements of Statistical Learning - Hastie, Tibshisrani

* (Lot's of machine learning books to list: PRML, All of Stats, Deep Learning, etc.)

* Active Portfolio Management - Kahn, Grinold

* Thinking, fast and slow - Kahneman

* Protein Power (the Eades') / Why we get fat (Taubes)

* Why we sleep (Walker)

* Deep Work / So Good They Can't Ignore You (Newport)

* Flowers for Algernon (Keyes)

* Getting to Yes (Fisher)

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Flowers for Algernon was great, but I'd strongly suggest reading the short story and avoiding the novel.

The short story was lengthened in to the novel and was ruined, in my view, by all the Freudian-influenced attempts to sexualize and psychoanalyze the protagonist. It was a real let down after the brilliance of the short story, which had absolutely nothing to do with any of that.

I felt the opposite - the attempts to paint the protagonist with run of the mill human qualtiies led me to emotionally invest in him even more. This makes you experience the gut-wrench even more.

A strong upvote for Thinking Fast and Slow. I think it should be required reading in school, or at least parts of it.

Keep in mind that the findings in Chapter 4 have NOT been replicable.

https://en.wikipedia.org/wiki/Thinking,_Fast_and_Slow#Replic...

(Un-replicable.)

For a book of 38 chapters, that’s not half bad!

Indeed, it's only 1/38 bad.

Indeed. Kahneman actually wrote a comment on the blog post that surfaced this issue:

https://replicationindex.com/2017/02/02/reconstruction-of-a-...

Reading "Why we sleep" right now and enjoying it very much. It covers a lot of research, and Walker manages to tell a story and get you the bird's eye view of what the research means. Definitely recommend.

What are your impressions of "Active Portfolio Management" ? I am asking because have a lot about passive investing and why it works.

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