When the scores are the same
Similar results can hide very different demands on the people who use them.
Writing on computing, education, and evidence — for people who teach, learn, and decide.
Similar results can hide very different demands on the people who use them.
Why studying the subject means learning both what can be computed and how to make computation work.
Why errors are information, not embarrassment.
When correct-looking work teaches nothing.
Why fluent language from a model is weak evidence of understanding.
Why the first question in analytics is what counts as evidence.
Why some difficulty earns learning — and some shortcuts remove it.
Base case, recursive step, and when to trust the smaller problem.
Why correct programs are not always enough.
Finding shortest paths when edge weights can be negative.