I’m persuaded the 1.3% figure should be treated as descriptive until the ask definition, completion period and volume are supplied. It may still become meaningful with consistent follow-up.
Returning to the seasonal question: the most honest test is to repeat the same collection method across adjacent periods and compare like cohorts. Seasonal explanations cannot be established from October alone.
Also preserve the October 2025 snapshot when later completions arrive. One version can show what was knowable then; another can show the matured outcomes.
This thread has identified a useful distinction: a market can look selective because polished stock clears first, even while unfinished stock simply accumulates. Inventory composition and completed prices need parallel tracking.
If neighbourhood entries eventually conflict, that would not invalidate the exercise. Regional variation within Edinburgh may be the finding, rather than noise that should be averaged away.
My takeaway is to avoid a binary verdict for now. Record the cohorts consistently, wait for slower listings to resolve, then test seasonality, selectivity and mix as competing explanations.