Data Quote by Brian Christian
““Information, defined intuitively and informally, might be something like 'uncertainty's antidote.' This turns out also to be the formal definition- the amount of information comes from the amount by which something reduces uncertainty...The higher the [information] entropy, the more information there is. It turns out to be a value capable of measuring a startling array of things- from the flip of a coin to a telephone call, to a Joyce novel, to a first date, to last words, to a Turing test...Entropy suggests that we gain the most insight on a question when we take it to the friend, colleague, or mentor of whose reaction and response we're least certain. And it suggests, perhaps, reversing the equation, that if we want to gain the most insight into a person, we should ask the question of qhose answer we're least certain... Pleasantries are low entropy, biased so far that they stop being an earnest inquiry and become ritual. Ritual has its virtues, of course, and I don't quibble with them in the slightest. But if we really want to start fathoming someone, we need to get them speaking in sentences we can't finish.””
About This Quote
Source Book: The Alignment Problem by Brian Christian, 2020
Information reduces uncertainty; higher entropy means more potential insight across varied contexts.
In simple terms: Information is uncertainty reduction; more entropy equals more insight.
Seek high‑entropy questions to learn more.
Themes
Mood
Type
When to use this quote
- research discussions
- personal interviews
- cross‑disciplinary collaboration
- creative brainstorming
Key Concepts
Questions to Reflect On
- What question have you avoided because its answer is uncertain?
- How can you create safe spaces for high‑entropy dialogue?
High‑entropy questions can be uncomfortable and may provoke defensive reactions.