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  • Berkson's Paradox (satisficer observation selection effect)
  • Common distributions (bimodal, normal, log-normal, power law, etc.)
  • Conditional probability
  • Confidence Interval
  • Confounding
  • Confusion matrix
  • Dimensionality reduction/Clusters in thing space
  • Effect size
  • Exploratory factor analysis
  • Forest plot
  • Funnel plot
  • Good vs bad proxies
  • Kurtosis
  • Law of large numbers
  • Local and global maximum
  • Power
  • Precision and accuracy
  • Principle component analysis
  • Regression
  • Sample size
  • Searching under the streetlight
  • Sensitivity analysis
  • Signal/noise
  • Skew
  • Tail miscalibration
  • Type I and II errors
  • Uncertainty analysis
  • Variance

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