statistical fallacies
Statistical fallacies are errors in reasoning or interpretation that occur when drawing conclusions from data or statistical analysis, often leading to misleading or incorrect conclusions. These fallacies arise from misunderstood concepts, biased samples, inappropriate statistical methods, or flawed interpretations, undermining the validity and reliability of statistical claims or findings.
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Related Concepts (24)
- anchoring bias
- availability heuristic
- base rate fallacy
- confirmation bias
- correlation vs causation
- data dredging
- ecological fallacy
- fallacy of composition in science
- gambler's fallacy
- hindsight bias
- misleading graphs
- null hypothesis significance testing fallacy
- overfitting
- post hoc ergo propter hoc
- publication bias
- regression to the mean
- sampling bias
- sampling error
- simpson's paradox
- survivorship bias
- texas sharpshooter fallacy
- the file drawer problem
- the hasty generalization fallacy
- the texas sharpshooter fallacy
Similar Concepts
- argumentative fallacies
- causal fallacies
- fallacies
- fallacies in argumentation
- fallacies in logic and reasoning
- fallacies in reasoning
- genetic fallacy
- informal fallacies
- logic fallacies
- logical fallacies
- logical fallacies in argumentation
- logical fallacies in arguments
- logical fallacy
- regression fallacy
- statistical fallacy