Let’s take a look at the elegant uncertainty at the heart of science — that messy, beautiful space where facts flicker, models wobble, and theories hold… until they don’t.
This discussion extends what I discussed in Fuzzy on the Dark Side, particularly how the scientific method isn’t a cathedral of certainty, but a scaffolding of curiosity. We talk about why problem selection sometimes matters more than problem-solving, why clarity is often overrated, and how some of the greatest scientific breakthroughs came not from precision — but from well-guided fuzziness.
How are the most important problems chosen? Is this an objective and rational process, or is it personal and inspired by passions?
🎧 Listen now and embrace the approximate: Ether #9 – Problem Selection
📖 Grab the book here: Fuzzy on the Dark Side
Share this post