Mean Median Mode

Mean, median, and mode are three ways to summarize the "center" of a dataset — and they tell different stories. The mean (average) includes every value, making it sensitive to extremes. The median (middle value) resists outliers, showing where the typical case actually sits. The mode (most frequent value) reveals the most common outcome. In symmetrical distributions they converge; in skewed ones they diverge dramatically. A startup's "average revenue per customer" can be pulled up by one whale account, masking that the median customer pays far less. Choosing which measure to report — and which to examine — is never neutral. The model teaches that every summary statistic is a compression, and the choice of compression determines what reality you see.

Report multiple measures of center for any metric that matters. When data is skewed — revenue, usage, deal size — lead with the median and show the distribution. Use the gap between mean and median as a diagnostic: a large gap signals skew and warns that averages are misleading. Use the mode to understand the most common experience your customers or employees actually have.

Mean, median, and mode are three compressions of the same data that tell different stories. Lead with the median for skewed data, use the mode to understand the most common experience, and treat a large mean-median gap as a signal that your summary is hiding the real picture.