Bibliography (88):

  1. ​ The Replication Crisis: Flaws in Mainstream Science

  2. ​ How Should We Critique Research?

  3. ​ Everything Is Correlated

  4. ​ The Iron Law Of Evaluation And Other Metallic Rules

  5. ​ How Often Does Correlation=Causality?

  6. ​ competence#physics

    [Transclude the forward-link's context]

  7. ​ ‘Bayes/regression-to-mean’ directory

  8. https://graphics8.nytimes.com/packages/pdf/science/Ending_Med_Rev_Chap_1.pdf

  9. Should Anyone Be Given a Blood Transfusion?

  10. Causal language and strength of inference in academic and media articles shared in social media (CLAIMS): A systematic review

  11. http://www-stat.wharton.upenn.edu/~steele/HoldingPen/SunsetSalvo.pdf

  12. Crypto-Gram: August 15, 2001

  13. https://web.archive.org/web/20141228123854/https://boards.straightdope.com/sdmb/showpost.php?p=15871894&postcount=70

  14. ​ everything#meehl-1990-1

    [Transclude the forward-link's context]

  15. The Adequacy of Comparison Group Designs for Evaluations of Employment-Related Programs

  16. Searching For One-Sided Tradeoffs

  17. Catching Obesity From Friends May Not Be So Easy

  18. Personal Reflections on Lessons Learned from Randomized Trials Involving Newborn Infants, 1951–1967

  19. https://statmodeling.stat.columbia.edu/2014/06/06/hurricanes-vs-himmicanes/

  20. https://en.wikipedia.org/w/index.php?title=LSD_and_schizophrenia&oldid=699494403

  21. Testing Hypotheses about the Relationship between Cannabis Use and Psychosis

  22. Looking to the 21st Century: Have We Learned from Our Mistakes, or Are We Doomed to Compound Them?

  23. Proceeding From Observed Correlation to Causal Inference: The Use of Natural Experiments

  24. Adam Cifu on Ending Medical Reversal

  25. https://www.amazon.com/Ending-Medical-Reversal-Improving-Outcomes/dp/1421417723/

  26. A Decade of Reversal: An Analysis of 146 Contradicted Medical Practices

  27. Causal Diagrams and Causal Models

  28. If Correlation Doesn’t Imply Causation, Then What Does?

  29. The Effect Of Unmeasured Confounders On The Ability To Estimate A True Performance Or Selection Gradient (And Other Partial Regression Coefficients)

  30. Probabilistic Graphical Models 1: Representation Course by Stanford University

  31. Roche Biochemical Pathways: Part 1: Metabolic Pathways

  32. Crosstalk and specificity in signaling: Are we crosstalking ourselves into general confusion?

  33. Uniform random generation of large acyclic digraphs

  34. IlyaShpitser

  35. https://www.lesswrong.com/posts/aLKTcKikaKtTEzMct/open-thread-23-29-june-2014?commentId=9Siw9arzSbbWrTELY

  36. https://web.mit.edu/krugman/www/ricardo.htm

  37. Intellectual Hipsters and Meta-Contrarianism

  38. https://scienceblogs.com/gregladen/2011/06/20/todays-falsehood-correlation-i

  39. https://slate.com/articles/health_and_science/science/2012/10/correlation_does_not_imply_causation_how_the_internet_fell_in_love_with_a_stats_class_clich_.single.html

  40. Google Correlate: Linking the Fed to Nausea Remedies

  41. Correlation

  42. Why Are Middlebrow Dismissals So Tempting?

  43. Bilge

  44. Observational Studies Often Make Clinical Practice Recommendations: an Empirical Evaluation of Authors' Attitudes

  45. All In All, Another Brick In The Motte

  46. ​ replication#systemic-error-doesnt-go-away

    [Transclude the forward-link's context]

  47. https://www.harvardmagazine.com/2012/02/twilight-of-the-lecture

  48. Guessing the Teacher’s Password

  49. The Initial Knowledge State of College Physics Students

  50. Force Concept Inventory

  51. https://ftp.cs.ucla.edu/pub/stat_ser/r414.pdf

  52. Guest Post: Judea Pearl on Correlation, Causation and the Psychology of Simpson’s Paradox

  53. https://www.lesswrong.com/posts/aLKTcKikaKtTEzMct/open-thread-23-29-june-2014?commentId=YqkeFxooNbHk7P6vL

  54. Confound It! Correlation Is (Usually) Not Causation! But Why Not?

  55. https://news.ycombinator.com/item?id=8282373

  56. https://news.ycombinator.com/item?id=12367778

  57. https://www.lesswrong.com/posts/LaM5aTcXvXzwQSC2Q/universal-fire

  58. Examples for Teaching: Correlation Does Not Mean Causation

  59. 2015-setter.html

  60. https://journals.sagepub.com/doi/10.1177/1745691620921521

  61. Objecting to experiments even while approving of the policies or treatments they compare

  62. Science in a High-Dimensional World

  63. Wikipedia Bibliography:

    1. Social engineering (political science)  :

      https://en.wikipedia.org/wiki/Social_engineering_(political_science)

    2. John Tukey

    3. Correlation does not imply causation

    4. Illusory correlation  :

      https://en.wikipedia.org/wiki/Illusory_correlation

    5. Spurious correlations  :

      https://en.wikipedia.org/wiki/Spurious_correlations

    6. Spurious relationship  :

      https://en.wikipedia.org/wiki/Spurious_relationship

    7. Flying Spaghetti Monster § Pirates and global warming  :

      https://en.wikipedia.org/wiki/Flying_Spaghetti_Monster#Pirates_and_global_warming

    8. Causes of autism § Vaccines  :

      https://en.wikipedia.org/wiki/Causes_of_autism#Vaccines

    9. Principle of indifference  :

      https://en.wikipedia.org/wiki/Principle_of_indifference

    10. Berkson's paradox

    11. The Literary Digest § Presidential poll  :

      https://en.wikipedia.org/wiki/The_Literary_Digest#Presidential_poll

    12. Regression toward the mean

    13. The Nurture Assumption  :

      https://en.wikipedia.org/wiki/The_Nurture_Assumption

    14. Kaposi's sarcoma  :

      https://en.wikipedia.org/wiki/Kaposi%27s_sarcoma

    15. Healthy user bias

    16. Effects of cannabis  :

      https://en.wikipedia.org/wiki/Effects_of_cannabis

    17. Hormone replacement therapy

    18. Women's Health Initiative § Hormone therapy (HT) intervention  :

      https://en.wikipedia.org/wiki/Women%27s_Health_Initiative#Hormone_therapy_(HT)_intervention

    19. Bayesian network § Causal networks  :

      https://en.wikipedia.org/wiki/Bayesian_network#Causal_networks

    20. Daphne Koller  :

      https://en.wikipedia.org/wiki/Daphne_Koller

    21. Metabolic pathway § Major metabolic pathways  :

      https://en.wikipedia.org/wiki/Metabolic_pathway#Major_metabolic_pathways

    22. Paul Krugman

    23. Oglaf

    24. David Hestenes § Modeling theory and instruction  :

      https://en.wikipedia.org/wiki/David_Hestenes#Modeling_theory_and_instruction

    25. Judea Pearl

    26. Simpson's paradox