When a Metric Becomes a Target, It Stops Being a Good Metric
Optimizing for a number often destroys the value it was meant to capture.
Critical thinking, cognitive biases, decision-making, and learning to see clearly. The operating system behind everything else.
Optimizing for a number often destroys the value it was meant to capture.
Time is the most ruthless filter — what survived it has proven its worth.
Exceptional results — good or bad — tend to be followed by ordinary ones.
Disasters accumulate through small, reasonable-seeming compromises.
Explaining a problem simply often reveals exactly where your understanding breaks.
Committing predictions to paper reveals where your intuition is calibrated and where it isn't.
The advice you'd give a friend in your situation is probably the right advice for you.
A clear problem statement is half the solution — most bad answers come from vague questions.
Separate creation from evaluation — judging too early kills promising ideas.
A quick rough estimate often reveals more than a slow precise one.
Check how similar projects went for others before trusting your own estimate.
The most revealing information is often what someone chose not to tell you.
A label describes the pattern; an explanation reveals why it exists.
Simple means few steps; easy means low effort — most important changes are one but not the other.
Confusion needs more detail; overwhelm needs more altitude — know which state you are in.
Splitting the difference is not the same as finding the truth.
Knowing about biases and actually avoiding them are different skills entirely.
Changing your mind openly earns more respect than defending a position you no longer believe.