⚖️ False Equivalence
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