Sufficient Cause Thinking (Effect–Cause–Effect)¶
Definition¶
Sufficient cause is the thought pattern behind every "if this, then that": we assume that the mere existence of one entity is enough, by itself, to produce another. Scheinkopf gives it a fixed vocabulary — entity, arrow, cause, effect, and-connector, assumption, entry point — so a claim like "if we lower prices, more customers will buy our product" can be drawn as a diagram rather than left as an assertion. The load-bearing move is locating the assumption: "the arrow represents the 'space' where the assumptions hide," and asking "what's underneath the arrow" means asking someone to name the reason they believe the cause produces the effect.
In the Book¶
Chapter 3 opens with a deliberately mundane example — a car that won't start on a cold Chicago morning. Turning the key harder is "passive" sufficient cause thinking (assuming, without checking, that insufficient pressure is the cause); guessing the battery is dead and then checking for the dead giveaways — lights and radio also failing — is "active" sufficient cause thinking, because it tests the hypothesis by predicting additional, independent effects of the same cause. The book then applies the same discipline to a business claim, "if we lower our prices, more customers will buy our product," walking through two opposite strategies for checking it: seeking evidence that proves the hypothesis right (the default, "reward the one who's right" culture) versus seeking evidence that would force you to reject it. Scheinkopf argues the second approach — actively trying to prove yourself wrong — surfaces hidden, often erroneous assumptions (e.g., "our product is already competitively priced" turns out false once you notice you're losing business to a higher-priced but faster competitor) that the first approach lets you paper over.
Why It Matters¶
Most disagreements are not disagreements about facts — they're disagreements about the invisible assumption connecting one fact to another, and sufficient cause diagramming gives that assumption a fixed physical location (the arrow) so it can be pointed at, stated out loud, and tested instead of argued past. This reframes "you're wrong" as "what's underneath your arrow," which works the same way whether the claim is about pricing, a car that won't start, a policy change, or a scientific hypothesis: name the effect, name the speculated cause, then ask what additional, checkable effects that cause would also produce if it were real.