HackerNews Readings
40,000 HackerNews book recommendations identified using NLP and deep learning

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Healing Back Pain: The Mind-Body Connection

John E. Sarno MD

4.4 on Amazon

2 HN comments

The Mindbody Prescription: Healing the Body, Healing the Pain

John E. Sarno M.D.

4.5 on Amazon

2 HN comments

To Sell Is Human: The Surprising Truth about Moving Others

Daniel H. Pink and Penguin Audio

4.5 on Amazon

2 HN comments

Feeling Great: The Revolutionary New Treatment for Depression and Anxiety

David D. Burns

4.7 on Amazon

2 HN comments

Gödel, Escher, Bach: An Eternal Golden Braid

Douglas R Hofstadter

4.7 on Amazon

2 HN comments

The Parasitic Mind: How Infectious Ideas Are Killing Common Sense

Gad Saad

4.8 on Amazon

2 HN comments

Alcoholics Anonymous

AAWS

4.8 on Amazon

1 HN comments

The Laws of Human Nature

Robert Greene, Paul Michael, et al.

4.8 on Amazon

1 HN comments

Lifespan: Why We Age―and Why We Don't Have To

David A. Sinclair PhD and Matthew D. LaPlante

4.6 on Amazon

1 HN comments

Radical Acceptance: Embracing Your Life with the Heart of a Buddha

Tara Brach, Cassandra Campbell, et al.

4.7 on Amazon

1 HN comments

The Deepest Well: Healing the Long-Term Effects of Childhood Adversity

Nadine Burke Harris M.D.

4.7 on Amazon

1 HN comments

Inner Engineering: A Yogi's Guide to Joy

Sadhguru Jaggi Vasudev, Jaggi Vasudev (Sadhguru), et al.

4.7 on Amazon

1 HN comments

Tribe: On Homecoming and Belonging

Sebastian Junger and Hachette Audio

4.6 on Amazon

1 HN comments

Grit: The Power of Passion and Perseverance

Angela Duckworth and Simon & Schuster Audio

4.6 on Amazon

1 HN comments

Animal, Vegetable, Junk: A History of Food, from Sustainable to Suicidal

Mark Bittman

4.4 on Amazon

1 HN comments

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SwizeconAug 3, 2021

Syntopic reading can be really rewarding. For example, once you read Thinking Fast and Slow, and a few of Taleb’s books, suddenly you notice implicit and explicit references in virtually every business book published later than those.

A similar effect can be found with Grit, Fogg’s Behavior Model, Superforecasting, and most Gladwel books.

On the coding side, I’ve only noticed this with Pragmatic Programmer, Clean Code, and maybe Phoenix/Unicorn project. Could I don’t read enough of those or they’re too focused on specific technologies instead of broad ideas … or I get too much of my technical reading from blogs and twitter. Those do get repetitive and you quickly find common patterns, but no titles to refer to.

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