Bibliography:

  1. Why Correlation Usually ≠ Causation

  2. ‘statistics’ tag

  3. ‘Mendelian Randomization’ tag

  4. ‘epigenetics (aging)’ tag

  5. Against Caring About Subtle Poisons

  6. Statistical Notes

  7. Timecrimes: Time Travel In Hell

  8. Everything Is Correlated

  9. How Often Does Correlation=Causality?

  10. Regression To The Mean Fallacies

  11. Why Correlation Usually ≠ Causation

  12. The Replication Crisis: Flaws in Mainstream Science

  13. How Should We Critique Research?

  14. ‘Story Of Your Life’ Is Not A Time-Travel Story

  15. When Machine Learning Tells the Wrong Story

  16. Causal inference on human behaviour

  17. Evaluating the World Model Implicit in a Generative Model

  18. Automated Social Science: Language Models as Scientist and Subjects

  19. Covid-19 is (Probably) Not an Exogenous Shock or Valid Instrument

  20. Robust agents learn causal world models

  21. Correcting for Endogeneity in Models with Bunching

  22. A/B Interactions: A Call to Relax

  23. Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations

  24. Attributing agnostically detected large reductions in road CO2 emissions to policy mixes

  25. The Magnitude Heuristic: Larger Differences Increase Perceived Causality

  26. Can Foundation Models Talk Causality?

  27. Clarifying the causes of consistent and inconsistent findings in genetics

  28. Residual Confounding in Health Plan Performance Assessments: Evidence From Randomization in Medicaid

  29. Sibling Comparison Studies

  30. Learning Causal Overhypotheses through Exploration in Children and Computational Models

  31. Causal emergence is widespread across measures of causation

  32. Megastudies improve the impact of applied behavioral science

  33. Inducing Causal Structure for Interpretable Neural Networks (IIT)

  34. Testing the structure of human cognitive ability using evidence obtained from the impact of brain lesions over abilities

  35. Providing a lower-bound estimate for psychology’s ‘crud factor’: The case of aggression

  36. Is Coffee the Cause or the Cure? Conflicting Nutrition Messages in 2 Decades of Online New York Times’ Nutrition News Coverage

  37. Causal Inference with Latent Treatments

  38. Causal and Associational Linking Language From Observational Research and Health Evaluation Literature in Practice: A systematic language evaluation

  39. Common elective orthopaedic procedures and their clinical effectiveness: umbrella review of level 1 evidence

  40. What Is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory

  41. The revolution will be hard to evaluate: How co-occurring policy changes affect research on the health effects of social policies

  42. The piranha problem: Large effects swimming in a small pond

  43. My cat Chester’s dynamical systems analysyyyyy7777777777777777y7is of the laser pointer and the red dot on the wall: correlation, causation, or SARS-Cov-2 hallucination?

  44. Interpolating Causal Mechanisms: The Paradox of Knowing More

  45. Agent Incentives: A Causal Perspective

  46. Quantifying causality in data science with quasi-experiments

  47. Intelligence and General Psychopathology in the Vietnam Experience Study: A Closer Look

  48. The causal foundations of applied probability and statistics

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

  50. Commentary: Cynical Epidemiology

  51. Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks

  52. Rethinking Causation for Data-intensive Biology: Constraints, Cancellations, and Quantized Organisms: Causality in complex organisms is sculpted by constraints rather than instigators, with outcomes perhaps better described by quantized patterns than rectilinear pathways

  53. Health Recommendations and Selection in Health Behaviors

  54. Why the Increasing Use of Complex Causal Models Is a Problem: On the Danger Sophisticated Theoretical Narratives Pose to Truth

  55. Designing agent incentives to avoid reward tampering

  56. Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

  57. A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook

  58. Correlation = Causation? Music Training, Psychology, and Neuroscience

  59. Effect of a Workplace Wellness Program on Employee Health and Economic Outcomes: A Randomized Clinical Trial

  60. Why scatter plots suggest causality, and what we can do about it

  61. Using genetic data to strengthen causal inference in observational research

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

  63. Measuring Consumer Sensitivity to Audio Advertising: A Field Experiment on Pandora Internet Radio

  64. A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence

  65. Polygenic prediction of the phenome, across ancestry, in emerging adulthood

  66. Percutaneous coronary intervention in stable angina (ORBITA): a double-blind, randomized controlled trial

  67. Implicit Causal Models for Genome-wide Association Studies

  68. Bias and high-dimensional adjustment in observational studies of peer effects

  69. The surprising implications of familial association in disease risk

  70. Graphical Models for Quasi-experimental Designs

  71. Could a Neuroscientist Understand a Microprocessor?

  72. Redundancy, Unilateralism and Bias beyond GDP—results of a Global Index Benchmark

  73. Coz: Finding Parallel Code that Counts with Causal Profiling

  74. Agreement of treatment effects for mortality from routinely collected data and subsequent randomized trials: meta-epidemiological survey

  75. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (n = 112,151) and 24 GWAS consortia

  76. Beyond GDP? Welfare across Countries and Time

  77. A Test of Exogeneity Without Instrumental Variables in Models With Bunching

  78. The Unfavorable Economics of Measuring the Returns to Advertising

  79. Mendelian Randomization with invalid instruments: effect estimation and bias detection through Egger regression (MR-Egger)

  80. Bounding a Linear Causal Effect Using Relative Correlation Restrictions

  81. When causation does not imply correlation: robust violations of the Faithfulness axiom

  82. When Correcting for Unreliability of Job Performance Ratings, the Best Estimate Is Still 0.52

  83. The Mystery Machine: End-to-end performance analysis of large-scale Internet services

  84. Converting rejections into positive stimuli

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

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

  87. The Iron Law Of Evaluation And Other Metallic Rules

  88. Correlation and Causation in the Study of Personality

  89. Does Retail Advertising Work? Measuring the Effects of Advertising on Sales Via a Controlled Experiment on Yahoo

  90. Here, there, and everywhere: correlated online behaviors can lead to overestimates of the effects of advertising

  91. The Possibility of Unmeasured Confounding Variables in Observational Studies: a Forgotten Fact?

  92. Deming, Data and Observational Studies

  93. Overestimation of the effects of adherence on outcomes: a case study in healthy user bias and hypertension

  94. Causal Inference and Developmental Psychology

  95. Causal Inference and Observational Research: The Utility of Twins

  96. Association of Bisphenol A With Diabetes and Other Abnormalities

  97. Retrospectives Guinnessometrics: The Economic Foundation of ‘Student’s’ t

  98. Systematic Reviews of Animal Experiments Demonstrate Poor Contributions Toward Human Healthcare

  99. Clustered Environments and Randomized Genes: A Fundamental Distinction between Conventional and Genetic Epidemiology

  100. Causal Inference in Multisensory Perception

  101. How close is close enough? Evaluating propensity score matching using data from a class size reduction experiment

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

  103. Personality and the Prediction of Consequential Outcomes

  104. Comparison of evidence on harms of medical interventions in randomized and nonrandomized studies

  105. Contradicted and Initially Stronger Effects in Highly Cited Clinical Research

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

  107. New Evidence for the Theory of the Stork

  108. b936665fc16aa372302246f1702ce575c696c3b7.pdf

  109. Observational versus Randomized Trial Evidence

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

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

  112. Nonexperimental Replications of Social Experiments: A Systematic Review

  113. It pays to be ignorant: A simple political economy of rigorous program evaluation

  114. Can Nonexperimental Comparison Group Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs? MDRC Working Papers on Research Methodology

  115. Comparison of Evidence of Treatment Effects in Randomized and Nonrandomized Studies

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

  117. Storks Deliver Babies (p = 0.008)

  118. Study Design and Estimates of Effectiveness

  119. Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs

  120. Interpreting the evidence: choosing between randomized and non-randomized studies

  121. Superadditive Correlation

  122. Causality in Complex Systems

  123. Spurious precision? Meta-analysis of observational studies

  124. Choosing Between Randomized and Non-Randomized Studies

  125. Who Goes First? The Story of Self-Experimentation in Medicine

  126. The unpredictability paradox: review of empirical comparisons of randomized and non-randomized clinical trials

  127. There Is a Time and a Place for Significance Testing

  128. Evaluating Program Evaluations: New Evidence on Commonly Used Nonexperimental Methods

  129. Inferring the direction of causation in cross-sectional twin data: Theoretical and empirical considerations

  130. Testing hypotheses about direction of causation using cross-sectional family data

  131. Bias in Relative Odds Estimation owing to Imprecise Measurement of Correlated Exposures

  132. Smoking As ‘Independent’ Risk Factor for Suicide: Illustration of an Artifact from Observational Epidemiology?

  133. How Independent Are ‘Independent’ Effects? Relative Risk Estimation When Correlated Exposures Are Measured Imprecisely

  134. Developing improved observational methods for evaluating therapeutic effectiveness

  135. Memories of the British Streptomycin Trial in Tuberculosis: The First Randomized Trial

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

  137. Evaluating the Econometric Evaluations of Training Programs with Experimental Data

  138. Why Do We Need Some Large, Simple Randomized Trials?

  139. Essence of Statistics (Second Edition)

  140. The Paradoxes of Time Travel

  141. Heredity, Environment, & Personality: A Study of 850 Sets of Twins

  142. On the Alleged Falsity of the Null Hypothesis

  143. Theory Confirmation in Psychology

  144. On Prior Probabilities of Rejecting Statistical Hypotheses

  145. The Correlation between Targets and Instruments

  146. A Computer Movie Simulating Urban Growth in the Detroit Region

  147. a068a23457b8ececa6a739f92c264d24c511085f.pdf

  148. Use and Abuse of Regression

  149. Distributions of Correlation Coefficients in Economic Time Series

  150. The Fallacy Of The Null-Hypothesis Statistical-Significance Test

  151. Cigarettes, Cancer, And Statistics

  152. The Influence of ‘Statistical Methods for Research Workers’ on the Development of the Science of Statistics

  153. ‘Superstition’ in the Pigeon

  154. A New Measure of Introversion-Extroversion

  155. "Student" as Statistician

  156. Why Do We Sometimes Get Nonsense-Correlations between Time-Series?--A Study in Sampling and the Nature of Time-Series

  157. Behavior Genetic Frameworks of Causal Reasoning for Personality Psychology

  158. Force Concept Inventory

  159. The Initial Knowledge State of College Physics Students

  160. Inventing the Randomized Double-Blind Trial: The Nürnberg Salt Test of 1835

  161. Intellectual Hipsters and Meta-Contrarianism

  162. Guessing the Teacher's Password

  163. Confounding Variables

  164. Correlation

  165. design#future-tag-features

    [Transclude the forward-link's context]

  166. 2023-jeng-figure1-cumulativedistributionofabtestinteractionpvaluetestsshowingnearzeropresenceofinteractions.jpg

  167. 2022-wallace-figure1-differencebetweenrandomizedandcorelationalestimatesfromlouisianamedicaidnaturalexperiment.jpg

  168. 2021-05-21-meme-theyrethesamephoto-judeapearl-colliderbias.jpg

  169. 2019-12-21-gwern-meme-ancientaliens-correlationcausation.jpg

  170. 2019-song-supplement2.pdf

  171. 2018-05-11-isthisapigeonmeme-causation.jpg

  172. 2018-jones.pdf

  173. 2018-jones-figure8-randomizedvscorrelationliterature.png

  174. 2018-jones-supplement-randomizedvscorrelation-tablea3-ac.png

  175. 2018-jones-supplement-randomizedvscorrelation-tablea3-de.png

  176. 2018-jones-supplement-randomizedvscorrelation-tablea3-fg.png

  177. 2018-jones-table5-correlationvsrandomized.png

  178. 2017-adams.pdf

  179. 2017-blazar.pdf

  180. 2017-blazar-table5-correlationvscausation.png

  181. 2015-setter.html

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

  183. 2012-prasad.pdf

  184. 2011-09-slacktory-correlations-biebertonsillitis.png

  185. 2011-odgaardjensen.pdf

  186. 2011-prasad.pdf

  187. 2007-wilde-table5-experimentalvsnonexperimentalestimatesinprojectstar.jpg

  188. 2006-papanikolaou.pdf

  189. 2006-shikata.pdf

  190. 2004-duncan.pdf

  191. 2004-lawlor.pdf

  192. 2002-lazebnik.pdf

  193. 2001-wilson.pdf

  194. 2001-thompson.html

  195. 1996-heinsman.pdf

  196. 1990-baker.pdf

  197. 1990-rothman.pdf

  198. 1988-colditz.pdf

  199. 1988-feinstein.pdf

  200. 1987-hazelrigg.pdf

  201. 1983-hedges.pdf

  202. 1983-shapiro.pdf

  203. 1982-sacks.pdf

  204. 1973-hays.pdf

  205. 1973-wendell-anmmpisourcebook.pdf

  206. 1960-nunnally.pdf

  207. 1960-smith.pdf

  208. http://www.stat.columbia.edu/~gelman/research/unpublished/reversecausal_13oct05.pdf

  209. 6eb52723bcea02eb7f99d527ee648d75c09c64bb.pdf

  210. https://books.worksinprogress.co/book/maintenance-of-everything/vehicles/what-motorcycles-teach-about-maintenance/4

  211. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.648.1155

  212. https://datacolada.org/103

  213. 185b8fcaabed384aa1de89df4935ed2e9e5c9d81.html

  214. https://osf.io/preprints/psyarxiv/hm2tu

  215. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4022745

  216. https://statmodeling.stat.columbia.edu/2024/01/15/a-feedback-loop-can-destroy-correlation-this-idea-comes-up-in-many-places/

  217. https://www.chess.com/article/view/no-castling-chess-kramnik-alphazero

  218. https://www.the100.ci/2023/03/07/non-representative-samples-what-could-possibly-go-wrong/

  219. https://x.com/JonBaronforMD/status/1676681267822075904

  220. https://x.com/JonBaronforMD/status/1676681274226884610

  221. Evaluating the World Model Implicit in a Generative Model

  222. https%253A%252F%252Farxiv.org%252Fabs%252F2406.03689.html

  223. Clarifying the causes of consistent and inconsistent findings in genetics

  224. https%253A%252F%252Fonlinelibrary.wiley.com%252Fdoi%252Ffull%252F10.1002%252Fgepi.22459.html

  225. Residual Confounding in Health Plan Performance Assessments: Evidence From Randomization in Medicaid

  226. %252Fdoc%252Fstatistics%252Fcausality%252F2022-wallace.pdf.html

  227. Megastudies improve the impact of applied behavioral science

  228. %252Fdoc%252Fstatistics%252Fprediction%252F2021-milkman.pdf.html

  229. The piranha problem: Large effects swimming in a small pond

  230. https://polisci.columbia.edu/content/benjamin-k-goodrich

  231. https%253A%252F%252Farxiv.org%252Fabs%252F2105.13445.html

  232. Coz: Finding Parallel Code that Counts with Causal Profiling

  233. https%253A%252F%252Farxiv.org%252Fabs%252F1608.03676.html

  234. The Iron Law Of Evaluation And Other Metallic Rules

  235. %252Fdoc%252Fsociology%252F1987-rossi.html

  236. Overestimation of the effects of adherence on outcomes: a case study in healthy user bias and hypertension

  237. %252Fdoc%252Fstatistics%252Fcausality%252F2011-lafleur.pdf.html

  238. It pays to be ignorant: A simple political economy of rigorous program evaluation

  239. %252Fdoc%252Fsociology%252F2002-pritchett.pdf.html

  240. Inferring the direction of causation in cross-sectional twin data: Theoretical and empirical considerations

  241. %252Fdoc%252Fgenetics%252Fheritable%252Fcorrelation%252F1994-duffy.pdf.html

  242. Evaluating the Econometric Evaluations of Training Programs with Experimental Data

  243. %252Fdoc%252Feconomics%252F1986-lalonde.pdf.html