Small Sample Alert

Ever seen a survey that confidently claims “80% of people love pineapple on pizza,” only to find out they only asked 5 people? That’s the danger of small sample sizes – random noise gets mistaken for deep insights.

The smaller the group, the more likely the results are skewed. A few outliers can tip the scales dramatically. That’s why solid analysis relies on larger, representative samples instead of cherry-picking convenient numbers.

So, before believing a shocking statistic, check if it’s based on a real sample size or just someone polling their three best friends.