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) canât happen, but (X) alone wonât produce (Y).
- Sufficient: if (X) happens, (Y) happens.
- Helpful: (X) improves the odds of (Y), but itâs neither required nor a guarantee.
People confuse these categories. They treat âhelpfulâ as ânecessaryâ and burn time (and accumulate guilt). Or they buy âhelpfulâ as âsufficientâ and act surprised when a single lever doesnât move a complex system. The failure mode is predictable.
Example: âGrind LeetCode and youâll get a software engineering job.â
- For companies that use timed algorithm screens, passing them is necessary for an offer: fail the screen and youâre done, regardless of everything else.
- Itâs 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.
- Itâs 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 âDo (X) and youâll get (Y),â classify it:
- Can I get (Y) without (X)? If not, (X) may be necessary.
- Does (X) reliably produce (Y) by itself? If yes, itâs sufficient.
- Otherwise, itâs helpful, and the real question is how much, for whom, and when.
This wonât make you infallible, but it will make the promise explicit.