Dio and I have been getting on very well recently. We've had several conversations and no harsh words from either side.
I think probably BigChessplayer is idyllis. Could be wrong but same mix of genuine concern for others and mistaken understanding. I don't see the point, Bigchessplayer, in talking to someone who is completely dishonest and who also lives in a fantasy world. What are you trying to achieve? The similarity between them is why I think they may be the same. You seem alright to me so surely best to keep it that way?
Lol, your powers of observation need work...first, you missed one of my posts that I referred to later when I said "this unblocking will be shortlived"...second, Idilis is already back under another name created quite some time ago, and you have yet to notice.
I'm taking stats classes right now to so I barely understand anything
But it is pretty easy to tell f it is biased or not I think tygxc should relearn what bias is because that is basically the first thing you learn in stats he's sorta zoning out on the basics of stats
The important thing to be aware of is the difference between inductive reasoning and deductive reasoning.
Anyone 100% familiar with this should probably skip the rest of my post!
In deductive reasoning you start with absolute facts and deduce other facts. An example would be solving a mate in 2 problem. This consists of finding the first move and showing that every legal reply to the move leaves you with a way to mate in one. In the end you can be rightly certain of the answer.
Inductive reasoning is different. It is really about generalisation. The information you have is examples, but what you are really interested in is general facts.
Inductive reasoning is source of all knowledge about the real world (things like the above chess problem are about abstractions that we represent in the real world. Chess is an abstraction represented with wooden pieces or computer screens).
Inductive reasoning works by starting with a state of belief about the real world, getting empirical data and then revising that state of belief. In most cases, the beliefs start very uncertain and the data reduces that uncertainty but never removes it, The only real exception is where the belief is that something exists and an observation confirms this (which assumes the observation is entirely precise and reliable - not generally the case in the real world).
The scientific method relies 100% on inductive reasoning. Deductive reasoning can be used within the abstract models that are used in science, but this is a distinct matter.
Interestingly, AIs are very much inductive reasoners. They use large numbers of examples to refine a very general model with up to billions of parameters.
The main paradigm of inductive reasoning is Bayesian probability theory, provably the only way to deal quantitatively with uncertainty (with some mild assumptions)!
I suspect I have not done a great job of communicating this, but I would say it is one of the things that everyone would do well to be familiar with and recognise when they are discussing technical topics. Note that it is highly relevant to areas like the justice system as well (although lawyers are unreasonably opposed to Bayesian reasoning being used by jurors!)