soodoku/tldr

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

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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