Cherry Picking

Examples

A product page highlights a single glowing quote.

Ad copy: “‘Changed my life!’ — verified buyer”

The product has 1,200 reviews averaging two and a half stars. The one five-star quote is real, but it isn’t representative of what buyers actually experienced.

The same happens with health claims online.

Post: “Three people lost 20 pounds on this diet — see, it works!”

Left unmentioned: the diet was tried by three hundred people, and 297 of them either saw no change or gained weight. Three real success stories are being used to stand in for a result that mostly didn’t happen.

Why the reasoning fails

Cherry picking presents a true but unrepresentative slice of the evidence as though it were the whole picture. Every individual fact cited can be accurate — the quote is real, the three success stories happened — which is exactly what makes this fallacy hard to catch. The failure isn’t in what’s shown, it’s in what’s left out: the surrounding evidence that would change the conclusion if included.

This is different from legitimately selecting representative evidence, which is a normal and necessary part of making any argument — nobody can cite every data point. The difference is whether the selected examples reflect the overall pattern or contradict it. Three testimonials chosen because they’re typical of most users is fine; three testimonials chosen because they’re the only positive ones is cherry picking.

How to respond

• Ask for the denominator: “Out of how many people did that happen? Is this typical or exceptional?”
• Request the full picture, not just the highlight: “Can I see the average, not just the best case?”
• Look for what’s missing: “What would the negative reviews say?”
• Don’t demand exhaustive evidence for every claim — asking “but what about every counterexample ever” for a reasonably well-supported point is its own kind of unfair pushback.