โ† Lยฒ Lab
๐Ÿค” Paradox & Puzzle
Card 12
๐Ÿฆโ€โฌ› ๐ŸŽ ๐Ÿคฏ

Does seeing a green apple prove that all ravens are black?

๐Ÿ’ญ How to Think About This

Claim: "All ravens are black." Logically, this also means: "All non-black things are non-ravens." So a green apple (non-black, non-raven) supports the claim! But how can an apple tell us about ravens? Bizarre!

Does a green apple support "all ravens are black"?

๐Ÿค” Which thinking lens(es) did you use?

Select all the lenses you used:

๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘ง For Parents & Teachers

๐ŸŒฑ A Small Everyday Story

"I saw a green apple!"
"So?"
"It proves all ravens are black!"
"...What? That makes no sense."
"But logically, it does! Just... a tiny bit."
Logic and intuition had a very confusing argument.

See more guidance โ†’

๐Ÿง  Thinking habits this builds:

  • Understanding logical equivalence
  • Distinguishing logical form from practical evidence
  • Appreciating proportional reasoning
  • Questioning intuitive reactions to valid logic

๐ŸŒฟ Behaviors you may notice (and reinforce):

  • Analyzing the strength of evidence
  • Recognizing that technically correct can feel absurd
  • Thinking about probability and proportion
  • Appreciating philosophical puzzles about confirmation

How to reinforce: "You discovered that logic and intuition can clash! The apple technically supports the claim, but the support is so tiny it's practically meaningless. Proportion matters in reasoning!"

๐Ÿ”„ When ideas are still forming:

Children might reject the logical connection entirely. Help them see the equivalence first.

Helpful response: "If something isn't black, can it be a raven? No! So seeing non-black non-ravens confirms what we'd expect. The puzzle is why this feels absurd!"

๐Ÿ”ฌ If you want to go deeper:

  • How many green apples would equal one black raven as evidence?
  • Why does the indoor/outdoor context matter for evidence?
  • What other logical equivalences seem absurd?

Key concepts (for adults): Hempel's Paradox, confirmation theory, logical equivalence, Bayesian probability, prior probability.