From Correlation to Mechanism: What Strong Experimental Design Actually Requires
A scientist-led guide to designing experiments that distinguish competing explanations and support proportionate causal claims.
Practical advice on research planning, experimental design, data interpretation, scientific integrity, and research decision-making.
A scientist-led guide to designing experiments that distinguish competing explanations and support proportionate causal claims.
A scientific figure is part of the evidence, not decoration added after the analysis. Its design determines which patterns readers can inspect, which comparisons appear important and whether uncertainty remains visible. A visually polished figure can still be scientifically weak. Data may be compressed into summaries that conceal their distribution, colour may create differences that…