◆ The Codex · 6 of 16
Cherry picking
Selecting only the evidence that helps, ignoring the rest.
Also known as
Suppressing evidenceFallacy of incomplete evidenceSelective evidence
The shape of the move
Evidence E1 supports X. (E2–E10, which contradict X, are left out.) Therefore X.
What is the cherry picking fallacy?
Cherry picking is about what's missing. Every fact quoted may be true, but they've been chosen because they support the conclusion while the inconvenient data is quietly ignored.
It shows up as hand-picked time ranges on charts, a single favourable study among many, or the three towns where a policy worked out of the fifty where it didn't.
Examples
Business
“Our fund beat the market in 2021 and 2023!”
Why it fails: What happened in 2020 and 2022?
Health
“This study shows coffee prevents heart disease.”
Why it fails: One study is picked from dozens with mixed results.
In a debate
“Crime fell in these three towns, so the policy works everywhere.”
Why it fails: The towns where crime rose are never mentioned.
Why it feels convincing
True facts are hard to argue with. The audience sees accurate numbers and doesn't think to ask what the full dataset looks like.
Spot it: Ask what the UNQUOTED data says.
In the arena
If you’re about to commit it
- Acknowledge the strongest contrary evidence and explain why it's outweighed.
- Cite reviews or overall trends rather than single data points.
- State your time range and why you chose it.
Instead of
“Electric cars are cleaner — look at this Norwegian study.”
Try
“A 2023 meta-analysis of 46 studies found EVs produce 30–70% less lifetime emissions, depending on the grid; the gap is smallest in coal-heavy countries like India.”
If your opponent commits it
- Ask what the rest of the data says.
- Bring the missing evidence if you have it.
- Question the selection: why these cases?
Say this
“Those examples are real — but what about the others? Why were these the ones chosen?”
When it’s not a fallacy
Using a single strong example to illustrate a well-established trend is fine. It's cherry picking when the example is presented as the whole picture and contrary evidence is hidden.
How the Oracle scores it
In an Arguen match, every argument is scored out of 80 across Clarity, Evidence, Logic and Rebuttal. If the Oracle detects a cherry picking, it subtracts a penalty and puts the fallacy on your scorecard with the exact quote and a one-sentence explanation — so you see precisely where the chain snapped.
Frequently asked questions
Is cherry picking lying?
Not necessarily — the facts may be accurate. It's misleading by omission: the selection creates a false overall picture.
How is it different from hasty generalization?
Hasty generalization draws a big conclusion from too few cases. Cherry picking deliberately ignores cases that contradict the conclusion.