Use when writing results and discussion, and when a task or a reviewer asks why an effect happens rather than whether it does. Covers the difference between reporting an effect and accounting for it, and what a mechanism claim needs behind it.
Use when the supplied data looks synthetic, degraded, incomplete or wrong, and whenever you are tempted to reframe the study around what you found about the inputs, the harness or the evaluation. Covers what to do with a real data problem without losing the…
Use when planning figures, at study design and again before writing. Covers the figures a paper in this field is expected to contain, why an original figure does not substitute for a standard one, and how to decide what to draw first.
Use when deciding how to aggregate results, at analysis and figure planning. Covers why a pooled number hides the result, which strata a study is expected to report, and when an aggregate is the right answer.
Use when the research task is in astronomy — observational astronomy, surveys, photometry and astrophysical inference — at study design, analysis or writing. Astronomy: the error budget and fit bookkeeping are the audit trail
Use when the research task is in astronomy — observational astronomy, surveys, photometry and astrophysical inference — at study design, analysis or writing. Astronomy: the figure is the unit of result, and nothing is reported pooled
Use when the research task is in chemistry — molecular simulation, docking, reaction energetics and chemical ML — at study design, analysis or writing. Anchor to the incumbent program, report in the canonical unit, convert error into a threshold success rate
Use when the research task is in chemistry — molecular simulation, docking, reaction energetics and chemical ML — at study design, analysis or writing. Print the named-entity ranked list and the property-versus-coordinate curve -- chemistry's two…