Will you be my next science "guru"?Man you have some amazingly interesting things to share. Thank you.
No problem.
The process of isolating "cause and effect" relationships is highly important to "empirical science". Cause/effect relationships typically can only be determined via "empirical experimentation", involving real life physical 'control mechanisms". Where some branches of science "lose their way" and get lost in metaphysical pursuits, is by under emphasizing the importance of true empirical experimentation, with actual physical control mechanisms, and overemphasizing the importance of math alone and validating the idea with something like 'computer modeling" where the only thing of importance is the mathematical model.
This more or less ties into the whole 'what is evidence?' argument. There is no single thing that makes something evidence. Logical positivists tried to make it about direct observation, which conflicted with much that was happening in theoretical physics during the day. Falsificationists tried to do it as well, but found it again impacted on potentially useful theories. Many fields of science cannot ever be set up and tested in situ in a laboratory, leaving us to pull theories apart, test what little we can and then try to find natural experiments to observe.
Along the way, we often fill in gaps with terms that explain somthing temporarily. Gravity, for instance, remains a useful stop-gap. It's akin to a god-of-gaps except for one important distinction; it does't presume more than we observe. It is a term that describes a force that attracts bodies of mass. That's all. It's not labelled with a personality, a history, a wife and kids. Philosophically it is a quality without a deeper context. That's fine, and quite useful. We don't know what's smaller than the smallest particle, hence can't say what makes them do what they do. For now the observation is useful only as a described quality.
The problem of course is that computers can create "virtual worlds" where the laws of physics no longer apply and the model in the computer no longer behaves like "the real world" in terms of the physical cause/effect relationships.
That might be true to a point, but it'd take more to dismiss a computer simulation than to just treat physicists like idiots and presume they don't know the strengths and weaknesses of their simulations. It'd be like you telling me the model of my house is useless simply because it hasn't got plumbing.
Nobody is stopping you from pointing out unreasonable conclusions made on particular simulations. That happens all the time in science. But computer models are incredibly useful things if the limitations are kept in mind.
Isolating real cause/effect relationships is a critically important process that is highly valued in "science". To isolate "real" physical cause/effect relationships, requires "real" empirical physical "tests" of concept, not simply a mathematical model.
I'm afraid this is where we have to disagree. I think mathematical models have been incredibly useful. A lot of brilliant physics has been discovered through modelling. True, if we can't predict observations using it, it is less than useful (see string theory, for instance). However, they shouldn't be dismissed purely on the grounds of not being 'real'. Mathematics is simply quantified logic, and without logic to apply to our observations, science is a crippled beast.
Athon