mandrin
It is interesting that you gain personal satisfaction by making fun of me - by making statements like the following-:
"For further explanations you better ask our resident science expert Jeffmann.
He will have a redundant answer typed out before you can even formulate your question.
Just be sure to ask for a child-like response. He will understand. "
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One of the interesting facts about online discussion forums is that we do not know anything about the educational background of other forum members, other than what they chose to expose. I was therefore a little amused when you wrote the following comment with reference to me - "barely a minimum grasp of scientific notions." I was amused becauase you really have no knowledge of my understanding of science, and yet you chose to label me as being grossly ignorant of scientific methodology.
The true reality is that I have a special interest in EBM (evidence-based medicine) which is the field of medicine related to the accurate interpretation of scientic evidence derived from clinical research trials. I had extensive training in EBM and I wrote a number of papers on the subject. In fact, I even wrote a paper for my medical website called "
Philosophy of Science Made Simple - Or Am I Too Simple!" in which I described some basic prinicples of scientific philosophy (with respect to interpreting the results of clinical research studies) for a target audience of neophyte physicians. I ended my paper with 10 suggested principles of good scientific practice. Some of those principles are especially applicable to you - so I will repeat those 10 principles here.
1) A scientist should always cultivate an "open-minded" attitude - an attitude that readily accepts criticism and experimental refutation, and a scientist should resist becoming 'emotionally-attached' to any particular explanatory theory.
2) A scientist should realise that repeated confirmation of his 'pet' explanatory theory does not increase its scientific legitimacy and that repeated affirmations are neutral in effect.
3) A scientist should resist the tendency to think inductively - in other words, the scientist should resist any tendency to draw general conclusions from a series of experimental observations (other than the specific conclusion as to whether the observational data supports or contradicts his primary hypothesis); other general conclusions that are not directly connected to the primary hypothesis can be posited in the form of another (seperate) explanatory theory that may be suitable for future experimental testing.
4) A scientist should readily encourage criticism of his explanatory theory (and/or criticism of his experimental methodology), because it is only through the refutation and re-formulation of an explanatory theory that science really progresses.
5) A scientist should share his data freely with the general scientific community, because widespread data sharing increases the chance of refutation, and a refuted theory spawns further scientific endeavour and the possibility of even more refined theories.
6) A scientist should resist any tendency to perform 'data-torturing' - post hoc re-analysis of the scientific data in order to obtain positive confirming results from equivocal, or semi-contradictory, experimental evidence - because he may then become entrapped in a tangled web of inductivist thinking or inductivist behaviourisms.
7) A scientist should realise that a 'bad' explanation may sometimes be true, and that there is no certain logical connection between an experiment's test results and the explanatory power of his theory => a scientist should therefore constantly ensure that there is no critical intellectual 'disconnect' between his explanatory theory and the observational data.
8) A scientist should structure his explanatory theory in a scientifically articulate manner - so that the avenues available for confirmation or refutation of his theory are clearly delineated => this will lessen the likelihood of there being an intellectual 'disconnect' between his explanatory theory and the observational data.
9) A scientist should realise that even if his explanatory theory is experimentally confirmed by very stringent scientific testing (eg. randomised, double-blind, placebo-controlled trial) that his explanatory theory must still be shown to be intellectually coherent and logically consistent, and it must also mesh seamlessly with other 'good' explanatory theories in the same field.
10) A scientist should realise that his explanatory theory has to be un-falsifiable if he wants it to become the current 'winning' theory, and the scientist should therefore actively promote rigorous experimental challenges to demonstrate that his explanatory theory cannot be falsified.
Jeff.
p.s. If any forum member is very interested in reading an excellent book on "how science works" and "how scientific thinking differs from other forms of thinking", I would highly recommend this book by Susan Haack
Defending Science - Within Reason: Between Scientism and Cynicism .