@BBTBOOB17@AMAZlNGNATURE Bees produce excess honey. Beekeepers ussusally manage the harvesting to the excess; obviously they are incentivized do so. Understand before critiquing.
@arny_trezzi@michaeljburry@PalantirBullets Well done. Totally agree. This kind of self-serving hack influence at the not so insignificant expense of others, should not be allowed.
Bayes’ theorem is probably the single most important thing any rational person can learn.
So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works.
Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it?
Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them.
For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information.
Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible.
Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.
NYSE est. that 75% of trading is done buy computers, often triggered by social media posts. In isolation this doesn't bother me, as program trading has been going on for decades. But it does call into question the value and power of herd promotion, regardless of truth/accuracy.
@derecktafuma@charliebilello Compression or structural change? Well you kinda just covered the whole spectrum of outcome options and half the that spectrum counters the claim of "warning still holds", so what's your point?
@htltimor What is this nonsense? What LIES are you referring to? General broad brush subjective statements, with no specifics, are automatically discounted.