@maxdancona,
maxdancona wrote:
I am not sure if I want to get pulled in to this again. A lot of your problems are caused by the fact that you haven't taken the time to study mathematics. What we are doing is not going to teach you mathematics.
I learned math. I just don't like spending time on abstractions that are cumbersome when you're trying to sketch out complex ecological networks of interactions that are what make scientific analysis actually meaningful.
Imagine if you had a complex equation for modeling the structures and functions of each tree, plant, and animal that occurs within a forest, along with all the hydrological features, soil features, etc. Such a simulation would be mathematically robust, but nevertheless artificial and cartoonish, while requiring huge amounts of processing.
Whether you call it 'fuzzy logic' or estimation or whatever, it is more efficient to use math-light methods of analysis than to focus your effort on working equations, etc.
Quote:1. You have this weird view of Science that it is based on what is "reasonable". The word is a horrible word for science because you are basing "truth" on what makes sense to you.
Generating hypotheses, testing/checking them against facts, and then going back and reviewing/reconsidering your hypotheses/theories is scientific reasoning.
You are free to inductively formulate theories and deduce hypotheses from them, but you are supposed to subject them to comparison with fact, either by testing or review of pertinent facts. The process of seeking out pertinent facts and/or devising tests, empirical observations, etc. can be generally described as a process of reasoning.
Quote:2. Scientific theories are proved correct if they can make accurate, specific testable predictions on how things will work that match with actual experiments. Two theories that lead to the exact same predictions are equivalent because it it the experimental confirmation that matters in science.
No, they are never proved correct. They are supported and thus accepted tentatively. Nothing is ever proven correct because we can't know if there is some falsifiability that we haven't yet encountered.
Quote:3. Your fairy theory isn't very testable ... I suppose we could have Newtonian fairies that pulls things towards each other with a force inversely proportional to the inverse of the square of the distance between them. The fact that you use the word "fairy" doesn't make the theory either more or less scientific.
You said the explanation doesn't matter as long as the math works. By that logic, if the fairies push objects at 9.8m/s^2, they are an adequate explanation of gravity - by your standard as you described it.
Quote:4. Curved space is a mathematical term used for functions in tensor space. You can not possible understand what it means until you have learned the mathematics. This should upset you because this is a mathematical term for a mathematical concept.
The concept is explained to lay people as simply as the curved path a ball takes as it arches horizontally from the person throwing it to the one catching it.
Celestial bodies moving in orbits, as well as comets, etc. move in curved paths due to no propulsion besides their inertia keeping them in a path of 'falling' due to their momentum.
The idea that an object's path could ever be straight would require that it be moving through some kind of 3D grid devoid of gravity, which doesn't exist in reality.
It might seem really REALLY straight because it's a small object moving a short distance within a gravity field is that much bigger, e.g. a ball falling a few feet; and as such the curvature of the path can be effectively estimated out of the analysis of the ball's motion, but that doesn't eliminate it from existence any more than any other estimate changes a value to the round number that is used to approximate it.
Quote:5. For that matter, if you aren't going to learn the mathematics, why are you using mathematical terms anyway?
Math terms are useful terms to use when what they mean is best expressed by them. You don't have to be calculating anything to describe motion in terms of acceleration, momentum, inertia, etc. You just know that momentum gets transferred when things collide and that it is conserved and the things with more inertia resist momentum changes more than if they had less inertia, etc.
You can sit down and work the math if you want, but it isn't necessarily an efficient use of your time and effort for all questions/issues/analyses.
It's really important to be able to REASON when calculations are critical to answering a question and when they aren't. It's foolish to waste time on math or anything else when there's a more efficient path to your destination, so to speak.