Knowing is not enough; we must apply. Being willing is not enough; we must do.
Art is never finished, only abandoned.
Knowing is not enough; we must apply. Being willing is not enough; we must do.
Art is never finished, only abandoned.
Be fooled in small matters, not in the large. Rank beliefs not according to their plausibility but by the harm they may cause.
Lose small to make big. If you are in the military, in catastrophe insurance, or in banking and lending, or in homeland security, you face only downside. Examples of positive-Black Swan businesses are: movies, some segments of publishing, scientific research, and venture capital.
Living in cities is invaluable because you increase the odds of serendipitous encounters. Diplomats understand this well: big breakthroughs come from casual chance discussions at cocktail parties, not dry correspondence or telephone conversations. Go to parties!
When you hear a ‘prominent’ economist use the word equilibrium or normal distribution, do not argue with him; just ignore him, or try to put a rat down his shirt.
comments
There is a place for strictness, but it’s actually rather small compared to the cases when laziness wins out. You want strictness when reducing large data structures into small ones in a way which uses all of the large structure (i.e. not a search). In all other cases, laziness is actually preferable or equivalent to strictness in terms of performance.
One usually exits doubt without realizing it. We are dogma-prone from our mother’s wombs.
It does not sound like much to take time to write a little test, perform a simple refactoring, or rename one variable. But it represents a huge change in attitude and a rare and courageous stance toward legacy code. It means that you don’t accept the inevitable slide from ugly code to uglier code.