GoKawiilEssay argues pattern matching outperforms narrative reasoning in business decisions
A business writer reflects on failed investments and startup ideas driven by appealing but oversimplified stories, such as betting on marijuana legalization or a cobalt miner's Tesla contract. The essay argues that compelling narratives feel persuasive because they simplify an overwhelming, multi-causal world, but that this simplicity often leads to poor real-world bets.
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The piece suggests that decision-makers may be systematically drawn to narratives because they are shareable and make the teller feel intelligent, not because they are predictive. This could imply that investors and founders should favor data-driven pattern recognition, similar to chess engines, over tidy causal stories when evaluating opportunities.
- Narrative reasoning can feel persuasive while leading to poor investment and business decisions.
- Real-world outcomes are highly multi-causal, unlike the simplified cause-effect stories people tell.
- The essay recommends pattern-matching approaches, akin to complex computational models, over simple narratives.
Source: blog.scottstevenson.net — Scott Stevenson, 2026-10-17
Published there as: “Pattern matching beats narrative reasoning”
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