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  2. Simpson's paradox - Wikipedia

    en.wikipedia.org/wiki/Simpson's_paradox

    Visualization of Simpson's paradox on data resembling real-world variability indicates that risk of misjudgment of true causal relationship can be hard to spot. Simpson's paradox is a phenomenon in probability and statistics in which a trend appears in several groups of data but disappears or reverses when the groups are combined.

  3. Information theory - Wikipedia

    en.wikipedia.org/wiki/Information_theory

    Using a statistical description for data, information theory quantifies the number of bits needed to describe the data, which is the information entropy of the source. Data compression (source coding): There are two formulations for the compression problem: lossless data compression: the data must be reconstructed exactly;

  4. Equivocation - Wikipedia

    en.wikipedia.org/wiki/Equivocation

    Equivocation in a syllogism (a chain of reasoning) produces a fallacy of four terms (quaternio terminorum). Below is an example: Since only man [human] is rational. And no woman is a man [male]. Therefore, no woman is rational. [1] The first instance of "man" implies the entire human species, while the second implies just those who are male.

  5. Texas sharpshooter fallacy - Wikipedia

    en.wikipedia.org/wiki/Texas_sharpshooter_fallacy

    In particular, rather than spreading out evenly, it is not uncommon for random data points to form clusters, giving the (false) impression of "hot spots" created by some underlying cause. The Texas sharpshooter fallacy often arises when a person has a large amount of data at their disposal but only focuses on a small subset of that data.

  6. Base rate fallacy - Wikipedia

    en.wikipedia.org/wiki/Base_rate_fallacy

    An example of the base rate fallacy is the false positive paradox (also known as accuracy paradox). This paradox describes situations where there are more false positive test results than true positives (this means the classifier has a low precision). For example, if a facial recognition camera can identify wanted criminals 99% accurately, but ...

  7. False equivalence - Wikipedia

    en.wikipedia.org/wiki/False_equivalence

    The following statements are examples of false equivalence: [3] "The Deepwater Horizon oil spill is no more harmful than when your neighbor drips some oil on the ground when changing his car's oil." The "false equivalence" is the comparison between things differing by many orders of magnitude: [ 3 ] Deepwater Horizon spilled 210 million US gal ...

  8. FACT CHECK: Contrary To Claim, Matt Gaetz Did Not Make ... - AOL

    www.aol.com/fact-check-contrary-claim-matt...

    A viral post shared on X claims Florida Republican Rep. Matt Gaetz purportedly made a tweet about “age gap dating.” View on Threads Verdict: False The claim is false. The purported tweet was ...

  9. McNamara fallacy - Wikipedia

    en.wikipedia.org/wiki/McNamara_fallacy

    [8] [9] In particular, the McNamara fallacy is invoked to describe the inadequacy of only using progression-free survival (PFS) as a primary endpoint in clinical trials for agents treating metastatic solid tumors simply because PFS is an endpoint which is merely measurable, while failing to capture outcomes which are more meaningful, such as ...

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