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Distilling key points, reorganizing, and modestly augmenting the points from books and lectures.

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TL;DR

The density of original points in an average work---book, paper, article, lecture---tends to be pretty low. Most work also tends to be badly organized. Distilling work is thus a time intensive exercise. So I thought it would be useful to share the fruits of that labor.

  1. Eyal, Nir. Hooked.
    Link to Amazon

  2. Schmidt, Eric, and Jonathan Rosenberg. How Google Works.
    Link to Amazon

  3. Wickham, Hadley. ggplot2.
    Link to Amazon

  4. Greenstein, Fred. Children and Politics.
    Link to Amazon

  5. Newport, Cal. Deep Work.
    Link to Amazon

  6. Coffey, Diane, and Dean Spears. Where India Goes.
    Link to Amazon

  7. Stephens-Davidowitz, Seth. Everybody Lies.
    Link to Amazon

  8. Cialdini, Robert. Influence.
    Link to Amazon

  9. Hamming, Richard. You and Your Research.
    http://www.cs.virginia.edu/~robins/YouAndYourResearch.pdf

  10. Sunstein, Cass and Reid Hastie. Wiser: Getting Beyond Groupthink to Make Groups Smarter.
    Link to Amazon

  11. Nadella, Satya, Greg Shaw, and Jill Nichols. Hit Refresh.
    Link to Amazon

  12. Frankl, Victor. Man's Search for Meaning.
    Link to Amazon

  13. Gigerenzer, Gerd. Calculated Risks
    Link to Amazon

  14. Agarwal, Ajay, Joshua Gans, and Avi Goldfarb. Prediction Machines.
    Link to Amazon

  15. Burke, Kevin. How to Write Documentation for People that Don't Read.
    YouTube Video

  16. Gawande, Atul. The Checklist Manifesto.
    Link to Amazon

  17. McMillan, John. Reinventing the Bazaar.
    Link to Amazon

  18. Reinhart Alex. Statistics Done Wrong.
    Link to Amazon

  19. Akerlof, George, and Robert Shiller. Phishing for Phools: The Economics of Manipulation and Deception.
    Link to Amazon

  20. Cairo, Alberto. How Charts Lie.
    Link to Amazon

  21. Jackson, Matthew. The Human Network.
    Link to Amazon

  22. Doerr, John. Measure What Matters
    Link to Amazon

  23. Boswell, Dustin, and Trevor Foucher. The Art of Readable Code.
    Link to Amazon

  24. Rodrik, Dani. Economics Rules.
    Link to Amazon

  25. Kohavi, Ron, Diane Tang, and Ya Xu. Trustworthy Online Controlled Experiments.
    Link to Amazon

  26. Bryar, Colin, and Bill Carr. Working Backwards.
    Link to Amazon

  27. Kahneman, Daniel, Olive Sibony, and Cass Sunstein. Noise: A Flaw in Human Judgment
    Link to Amazon

  28. List, John. The Voltage Effect.
    Link to Amazon

  29. Manski, Charles. Patient Care Under Uncertainty.
    Link to Google Play Books

  30. Kleppman, Martin. Designing Data-Intensive Applications.
    Link to Amazon

  31. Heath, Chip, and Karla Starr. Making Numbers Count.
    Link to Amazon

  32. Stone, Dan. Undue Hate.
    Link to Amazon

  33. Sniderman, Paul, and Ed Carmines. Reaching Beyond Race.
    Link to Amazon

  34. Sniderman, Paul, and Thomas Piazza. Black Pride and Black Prejudice.
    Link to Amazon

  35. Webb, Eugene, Donald Campbell, Richard Schwartz, and Lee Sechrest. Unobtrusive Measures: Nonreactive Research in the Social Sciences.
    Link to Amazon

  36. Schlozman, Kay Lehman, and Sidney Verba. Injury to Insult.
    Link to Amazon

  37. Allport, Gordon. The Nature of Prejudice.
    Link to Amazon

  38. Alesina, Alberto, and Geoffrey Carliner. Politics and Economics in the Eighties.
    UC Press

  39. Gelman, Andrew. Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do.
    Link to Amazon

  40. Yohannan, K. P. Revolution in World Missions
    Link to Amazon

  41. Iyengar, Shanto. Is Anyone Responsible?
    Link to Amazon

  42. Iyengar, Shanto, and Donald Kinder. News That Matters.
    Link to Amazon

  43. Witten, Daniela, Gareth M. James, Trevor Hastie, and Robert Tibshirani. Introduction to Statistical Learning.
    Link to Amazon

  44. McCloud, Scott. Understanding Comics.
    Link to Amazon

  45. Kuklinski, James (Ed.). Thinking about Political Psychology.
    Link to Amazon

  46. French, Patrick. India: A Portrait
    Link to Amazon

  47. Hernstein, Richard, and Charles Murray. The Bell Curve.
    Link to Amazon

  48. Naipaul, V. S. India: A Million Mutinies Now.
    Link to Amazon

  49. Weisberg, Sanford. Applied Linear Regression.
    Book (pdf)

  50. Cathcart, Thomas, and Daniel Klein. Plato and a Platypus Walk into a Bar...
    Link to Amazon

  51. Martin, Robert. Clean Code.
    Link to Amazon

  52. Kleppman, Martin. Designing Data Intensive Applications.
    Link to Amazon

  53. Ambedkar, B. R. Pakistan or the Partition of India.
    Link to Amazon (pdf widely available)

  54. Smil, Vaclav. Numbers Don't Lie.
    Link to Amazon

  55. Sowell, Thomas. Discrimination and Disparities.
    Link to Amazon

  56. Lohr, Sharon. Measuring Crime: Behind the Statistics.
    Link to Routledge

  57. Cathcart, Thomas and Daniel Klein. Heidegger and a Hippo Walk Through Those Pearly Gates.
    Link to Amazon

  58. Rodden, Jonathan. Why Cities Lose.
    Link to Amazon

  59. Honeysett, Martin. Micro phobia: How to survive your computer.
    Link to Amazon

  60. Waldfogel, Joel. Digital Renaissance.
    Link to Amazon

  61. Yong, Ed. I Contain Multitudes.
    Link to Amazon

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