M.R. Orion

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Before You Share a Percentage, Find the Whole

Why a percentage needs its baseline, how percentage points differ from relative change, and what changing denominators can hide.

Precision vs Accuracy: Why Matching Measurements Can Still Mislead

Repeated agreement is valuable, but it cannot rule out a shared measurement error. A practical guide to precision, accuracy and uncertainty.

Reproducibility vs Replicability: What Was Actually Checked?

A repeated calculation and a new study provide different kinds of evidence. Here is how to read the claim behind “confirmed.”

What Can a Thought Experiment Actually Prove?

An imagined train can clarify a deduction without recording a measurement. How to distinguish signal arrival, event timing and empirical evidence.

What Does a Simulation Actually Prove?

A successful run is not the same as a trustworthy prediction. Separate model verification, validation and the evidence for a particular use.

AI Confidence Calibration: A Score Is Not a Verdict

What does 80 percent confidence mean? A clear guide to calibration, hidden subgroup errors and the evidence behind an AI answer.

AI Uncertainty: When to Pause Before Acting

What is missing from an uncertain AI answer? Identify the gap, check the relevant source and choose a bounded next step.

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