Comedy Theory (2022)

Scope and Limits of the Article’s Theory

• Many see the article as correctly capturing one narrow joke pattern (incongruity / “mixing ideas”, often via double meanings).
• Several argue it’s closer to existing theories like Benign Violation or Koestler’s “bisociation,” and not a new “grand” explanation.
• Strong criticism that the article overreaches by implying “all comedy” fits this template, when it really models a subset of one-liners.

Quality of Example Jokes

• Multiple commenters find the sample jokes weak, stale, or “groaners,” especially tech references like Windows 95.
• Some defend them as didactic examples, not polished material, but others say even as examples they misrepresent what’s genuinely funny.
• There’s discussion of why near-identical ideas can be hilarious in a richer context (e.g., a sitcom or standup set) but flat on the page.

Broader Taxonomies of Humor

• Several people list other forms: story-based standup, bullying/roasts, epiphany/wordplay, tone-of-voice comedy, slapstick, social awkwardness, satire, clowning, callbacks, anti-comedy, dark humor.
• Repeated point: punchlines ≠ comedy. Timing, persona, story, and audience perspective often carry more weight than the formal joke structure.
• Some note that the funniest material can’t be captured by short texts at all; it relies on performance, character, and long setups.

Psychological and Evolutionary Theories

• Competing suggestions: humor as incongruity resolution, fear response, “unserious surprise,” social bonding, and relief from stressful ambiguity.
• Laughter is framed as a social signal: marking safety, shaping status, enabling play, or legitimizing bullying.
• Object permanence, peekaboo, and group games are used as intuitions for early developmental roots.

Search, Information, and Mechanization

• A subset embraces “comedy is search” and generalizes: many human activities (science, learning, optimization, art) resemble search or surprise-maximization.
• Others push back that reducing humor or “the soul” to algorithms is deadening, philosophically materialist, and misses the lived, creative aspect of art.
• Some liken this to music theory: useful for analysis and craft, but not a recipe for creating great work.