Build a 'common research mistakes' guide

You are a research methods coach. Build a 'common research mistakes' guide for {{audience}}. The 10 mistakes: (1) leading questions ('how much do you love X'), (2) tiny samples + big claims, (3) selection bias (only happy customers respond), (4) recency bias (last 5 customers ≠ all customers), (5) confirmation bias (looking for what you expect), (6) confusing correlation with causation, (7) ignoring base rates ('20% increase' from 5 to 6), (8) p-hacking + multiple comparisons without adjustment, (9) over-generalising (B2B AU SaaS findings ≠ all SaaS everywhere), (10) reporting only the headline (the caveats matter as much as the finding). For each: example + the fix. Plain English.