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Politics : View from the Center and Left

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To: Bread Upon The Water who wrote (125171)11/20/2009 9:01:09 AM
From: epicure  Read Replies (1) of 542688
 
The principles of science involve repeatability - so at least with real science we judge it on that basis. The "who" could be anyone who can run an experiment. If it is not repeatable, we do not need to accept it. This gets us out of the morass of relativity.

The who is "anyone". Sadly, with belief systems, "anyone" doesn't work. The repeatability aspect only applies when it is "anyone who thinks just like me." And therein lies one of the key differences between science and belief.

Just so we are all on the same page:

Scientific method refers to a body of techniques for investigating phenomena, acquiring new knowledge, or correcting and integrating previous knowledge. To be termed scientific, a method of inquiry must be based on gathering observable, empirical and measurable evidence subject to specific principles of reasoning.[1] A scientific method consists of the collection of data through observation and experimentation, and the formulation and testing of hypotheses.[2]

Although procedures vary from one field of inquiry to another, identifiable features distinguish scientific inquiry from other methodologies of knowledge. Scientific researchers propose hypotheses as explanations of phenomena, and design experimental studies to test these hypotheses. These steps must be repeatable in order to dependably predict any future results. Theories that encompass wider domains of inquiry may bind many independently-derived hypotheses together in a coherent, supportive structure. This in turn may help form new hypotheses or place groups of hypotheses into context.

Among other facets shared by the various fields of inquiry is the conviction that the process be objective to reduce biased interpretations of the results. Another basic expectation is to document, archive and share all data and methodology so they are available for careful scrutiny by other scientists, thereby allowing other researchers the opportunity to verify results by attempting to reproduce them. This practice, called full disclosure, also allows statistical measures of the reliability of these data to be established.
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