Add temporal generalization results (2019, 2015 time travel tests)

README.md

@@ -99,6 +99,22 @@ The model learned **political identity**, not policy platforms:
 - The 3 psychographic variables compress the "culture war" aspects of Canadian politics
 - Model excels at identity/affect prediction, struggles with budget details
 
+## Temporal Generalization
+
+We tested the model on older CES surveys to measure temporal transfer:
+
+| Election | Prime Minister | Correlation | Retention |
+|----------|---------------|-------------|-----------|
+| **2021** (training) | Trudeau (Liberal) | r = 0.428 | — |
+| **2019** (same PM) | Trudeau (Liberal) | r = 0.353 | 82% |
+| **2015** (different PM) | Harper (Conservative) | r = 0.206 | 49% |
+
+**Key Finding**: The model is *government-specific*, not time-specific:
+- **High transfer under same PM**: "Dissatisfied with Trudeau" maintains consistent left-right valence across 2019-2021
+- **Poor transfer across PMs**: "Dissatisfied with Harper" has *opposite* valence (Liberal-leaning in 2015) from "dissatisfied with Trudeau" (Conservative-leaning in 2021)
+
+This confirms the psychographic compression captures incumbent-relative affect, not arbitrary noise.
+
 ### Implications
 
 This model is ideal for: