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Do Not Describe a Misleading Chart

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Do Not Use Terms Loosely

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Do Not Compare Against No Baseline

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Do Not Draw Causation From Extreme Selection

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Do Not Confuse Group and Individual Level

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Do Not Apply a Test Without Its Assumptions

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Do Not Assert an Effect Without a Mechanism

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Do Not Treat One Study as Settled Science

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Do Not Overlook Publication Bias

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Do Not Give False Balance to Fringe Claims

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Do Not State Point Values Without Uncertainty

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Do Not Ignore Selection Bias

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Do Not Extrapolate Beyond the Data Range

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Do Not Present a Model Without Its Assumptions

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Do Not Rule Out Reverse Causation

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Do Not Present Post-Hoc as Predicted

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Do Not Ignore Multiple Comparisons

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Do Not Skip the Order-of-Magnitude Check

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Do Not Evaluate a Model on Its Training Data

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Do Not Treat Anecdote as Data

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Do Not Overstate Precision of Measurements

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Do Not Ignore Confounders

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Do Not Cherry-Pick Supporting Data

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Do Not Report Absence as Proof of Absence

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Do Not Generalize Beyond the Sample

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