False equivalence is a logical fallacy in which two distinct entities, situations, or treatments are presented as if they were equivalent, despite relevant differences that undermine the comparison's validity.
⚠️ Key Characteristics
Superficial similarities mask important underlying differences
Ignores confounding variables or context
Often used in observational studies without proper adjustment
Leads to misleading comparisons and flawed conclusions
🧪 Example in Clinical Research
Comparing microsurgical clipping and endovascular treatment of MCA aneurysms as if they were interchangeable, without accounting for aneurysm complexity, morphology, or patient selection bias.
📉 Why It Matters
Encourages inappropriate treatment decisions
Undermines evidence-based practice
Distorts systematic reviews or meta-analyses
Can be used to support biased or agenda-driven interpretations
✅ Best Practice
Ensure clinical and methodological comparability between groups
Use stratification, matching, or multivariate adjustment
Acknowledge and discuss key differences in study limitations