*The Skeptical Scientific Mind-Set in the Spectrum of Belief: It’s about 
models of ‘reality’ – and the unavoidable incompleteness of evidence, for – 
or against – any model or fact. 
* 
Leonard Ornstein 

*Abstract *

This essay examines topics that relate to the origins of beliefs, in 
general – and particularly, to ‘belief-in’ the sciences – and how beliefs 
impact our ability to cope with real-world problems: 

 Introspection about personal experiences of the external world, using the 
‘images’ created by our sense organs (especially our vision) should 
convince us that we are usually aware of a great more detail than our 
finite vocabularies of words and symbols equip us to manage. So all models 
(stories/speculations/hypotheses/theories/laws) that we construct to 
communicate meaning about those experiences must be caricatures of a richer 
and more complex private set of conscious and unconscious images and 
impressions. As a result, at best, we can only  build stripped-down, 
verbal/symbolic sketches about the world. These can hardly be expected to 
be complete models of absolute and (final?) ‘truth’.  

 Communication between individuals and groups likely developed as a means 
to, on average, increase the quality of life (the probability of survival, 
safety, convenience and comfort) compared to ‘going it alone’. For each of 
the communicating partners, the meanings of those  communications had to be 
believed to be the ‘same’ to try to maximize the fulfillment of such 
intentions. Therefore, the voiced-words/symbols/codes, and the fundamental 
rules for their use, needed to be arbitrarily agreed upon to ‘assure’ 
identical intended meanings. This is exactly the function of axiomatic 
definitions and rules at the roots of model building for languages, for 
mathematics and for logic. The qualifications and limitations that apply to 
languages, math and logic must be very similar to those for building models 
for all systems of belief (ideologies, religions and science). Deductive 
reasoning and inductive reasoning are the tools used to examine the 
consequences of the axiomatics. How axiomatics and reason might fail to 
lead us to ‘truth' and certainty about models therefore also requires 
understanding of inherent limitations imposed on both deductive and 
inductive reasoning. 

 Sciences differ from ideologies, from most mathematics and from 
religions. The latter require undiluted, absolute faith/belief in the 
‘truth’ of their axiomatics. However, science accepts (also axiomatically) 
that the degree-of-belief/confidence-in its models can never be absolute. 
The degree-of-belief is measured by how strongly pertinent, empirical 
evidence – developed through repeated observation and ‘testing’, and always 
limited by uncertainties of inductive reasoning, confirm the 
predictions/projections of the models. 

Such degrees-of-belief are analogue (expressed quantitatively, as 
‘different shades of grey’) rather than digital [expressed as black and 
white (false or true)]. Scientific models of observable phenomena (objects 
and processes), provide simpler and more reliable explanations than those 
of non-scientific disciplines and ideologies. Ockham’s Razor – the dictum 
to choose the simplest explanation, all other things being equal – 
therefore generally recommends placing scientific models ahead of ideologic 
models of observable phenomena. 

These differences are sources of science’s great potential to self-correct 
– and with ever increasing confidence – to incrementally (though often 
sporadically) improve quality of life. 


   In teaching, and in the general valuation of science, these topics, and 
their contributions to improving the quality of life, are increasingly 
neglected. They are explored to better clarify how 
science fits into the wide spectrum of beliefs – (and perhaps help reverse 
this disturbing trend ;-)  

http://www.pipeline.com/~lenornst/ScienceInTheSpectrumOfBelief.pdf 

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