The Logic Most Advice Skips
Most advice is underspecified. It tells you to do (X), promises (Y), and skips the only question that matters: what relationship does (X) actually have to (Y)?
There are three:
- Necessary: without (X), (Y) can’t happen, but (X) alone won’t produce (Y).
- Sufficient: if (X) happens, (Y) happens.
- Helpful: (X) improves the odds of (Y), but it’s neither required nor a guarantee.
People confuse these categories. They treat “helpful” as “necessary” and burn time (and accumulate guilt). Or they buy “helpful” as “sufficient” and act surprised when a single lever doesn’t move a complex system. The failure mode is predictable.
Example: “Grind LeetCode and you’ll get a software engineering job.”
- For companies that use timed algorithm screens, passing them is necessary for an offer: fail the screen and you’re done, regardless of everything else.
- It’s not sufficient: you can solve puzzles quickly and still miss on system design, debugging ability, communication, domain fit, or simply lose to timing (luck) and headcount.
- It’s often helpful: it raises your conversion rate through one of the hardest gates in that hiring funnel.
In careers, products, health, and learning, true sufficiency is rare. Outcomes usually come from stacks of constraints: multiple necessary conditions, plus context, plus execution.
So when you hear “Do (X) and you’ll get (Y),” classify it:
- Can I get (Y) without (X)? If not, (X) may be necessary.
- Does (X) reliably produce (Y) by itself? If yes, it’s sufficient.
- Otherwise, it’s helpful, and the real question is how much, for whom, and when.
This won’t make you infallible, but it will make the promise explicit.