Re: some thoughts on scienceOn Apr 20, 2:46 am, Dale Kelly <dale.ke...@comcast,net > wrote:
> The historical roots of the word science are related to the Latin term
> "Scientia", meaning "knowing".
The etymological of words frequently bears little relationship to
their modern useage.
> But this is not how science is used in
> practical purposes.
You mean that science is *not* used to find out about how the universe
works? Funny, but I'm a scientist and it most certainly seems like
that to me. What do you know about science that I don't?
> Inference and philosophy are absolute knowing.
What utter nonsense! Inference is drawing conclusions (which may be
wrong, of course ) from evidence. Philosophy is a the creation of a
conceptual structure within which evidence can be interpreted, and is
by definition unprovable and untestable. Neither concept has anything
to do with "absolute knowing".
> Science in modern day purposes is a best practices way of dealing with
> conjecture.
No, it's a way of testing conjectures derived from evidence by
gathering more evidence. SCientists call such conjectures hypotheses.
> In the scientific process, a conjecture, is a hypothetical. A
> hypothetical is most often called a hypothesis. If a hypothesis is
> reproducible, then it is testable, and called a theory.
Nope. If it's not testable it ain't an hypothesis.
If an hypothesis (or more accurately a group of interdependent
hypotheses) stands up to rigorous testing for a long time it can be
considered a theory.
> If a theory has
> been tested, it is said to be founded.
Nope. If it can't be tested it ain't a theory in the first place.
> If a theory has not been tested,
> that theory is said to be unfounded.
Nope. If a conjecture can't be tested, it isn't an hypothesis, let
alone a theory.
> Statistics is the language of
> science.
Nope. Statistics is a tool used by some branches of science to analyse
data.
> An analysis of variance will tell you, if you have designed your
> testing properly, the confidence you can have in the data you observe.
Nope. It will give you statistical information about the nature of the
data you have gathered. It won't tell you anything about the design of
your test: inapropriate use of statistical evidence can be used to
give very misleading results.
> There are two major considerations here. One is that if you have not
> included all variables in your testing, the variance of your data will
> result in a low confidence for your results.
Nope. There are statistical tools which allow you to evaluate the
validity of your data set even if it has missing elements.
> This means to get a high
> confidence interval, some degree of solid inference has to be built into
> your hypothesis.
As you can't build an hypothesis in the first place without "solid
inference", this is just plain silly.
> So you see that nothing can really be known empirically,
> by testing, that is not first known in inference.
Wow! I think that this may be the first sentence in your posting which
is true! Congratulations!
> The second
> consideration to the scientific process lies in exactly how the analysis
> of variance is carried out.
Nope. Much of science can be carried out perfectly well without
statistical analysis.
>A true analysis of variance, must include the
> variance of the measurement apparatus or observation equipment.
It's called calibration of equipment, which is a purely technical
matter having little to do with the hypotheses being tested. Obviously
any scientist needs to know the limits of acuracy of the equiment they
are using.
> And must
> also include the variance of how the observation equipment is, and the
> observation variance for that etc., therefore there can be absolutely no
> confidence in empirical data.
So because we cannot calibrate our equipment with perfect precision we
cannot produce any results?
Wierd.
So I guess that if I use a ruler to measure the length of a plesiosaur
propodial none of the statistical analysis of my data set of
dimensions of plesiosaurs is of any validity because my ruler is not
perfectly acurate.
What a strange parallel universe you inhabit.
Have you ever considered learning anything about science or
statistics? You might end up making rather less of a fool of yourself,
but if you want to carry on providing us all with amusement feel free
to wallow in dogmatic ignorance.
RF
>
> --
> Dale http :// www .vedantasite.org