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          Sat 20 November 2010 
           “Scientific 
            Method and Falsification”  
          A discussion 
            on .  
          Led by David 
            Hewson  
          Programme 
         
         
           
             1. Catching Up & Introductions 
              2. GS Diary Reports 
              - "Our GS Experiences"  
              3. David's “Scuentific 
              Method and Falsification" presentation. 
              4. AGS Business 
               
              5. Close.  
           
         
        
         
          We “always” 
            allow a little time for review of our lives and activities.  
         
         
          2. GS Diary 
            Reports - "Our GS Experiences"  
         
         
           
            Some of us experienced 
              events in the month past, which demonstrated the value, and perhaps 
              some limitations, in the applications of GS principles. Sharing 
              of these is a valuable part of our time together.  
           
         
         
          3. David's 
            presentation “Scientific Method and Falsification"  
         
         
           
            How does scientific method 
              work and what is falsification?   
            The seminar was about 
              scientific method, falsification and belief revision.  I.e. how 
              we find out information about the world, what's knowable about reality 
              with science and how to review our beliefs/knowledge in the light 
              of new evidence. 
            Knowledge 
              acquisition. 
            1)   Ways 
              to make check out our beliefs.  Example of Tom, Dick and Harry 
              who each claim to be able to run the 400m the fastest. 
             
              i)    Direct 
                observation: Line them up on a 400 m track and watch them run 
                the whole race. Dick comes first. Problems with this approach 
                are that there are a lot of things we can’t directly observe and 
                the cost of observing everything ourselves. 
              ii)   Indirect 
                observation where something is inferred from what you observe.  
                E.g. No 400m track is available but there’s an old railway tunnel 
                that’s 400m, so you use that.  You stand at the top of the hill 
                above the tunnel and after you fire the starters gun you see them 
                run into the tunnel.  You then walk over the top of the hill and 
                look down at the tunnel’s exit and see Tom come out first.  You 
                go down to congratulate him.  Problems with this approach: Alternative 
                hypotheses.  E.g. The other’s say that Tom cheated as he had a 
                bicycle just inside the tunnel and he rode that most of the way.  
                I.e. this approach is plagued with alternative reasons that can 
                also explain the observation. Solution?  GS uses the formulation 
                of converging inferences to help eliminate alternative hypotheses. 
              iii)  By authority.  
                You ask a sports doctor to check Tom, Dick and Harry and tell 
                you which one can run the fastest.  He says that Dick will run 
                the fastest.  Problems with this:  Which authority to choose when 
                you have more than one.  And what if the authorities statements 
                conflict.  E.g. Another authority, the coach, claims that Tom 
                is faster as he has better technique.  So which one (if any) do 
                you choose? 
              iv)  By assumption.  
                Harry looks the fittest so you assume he can run the fastest. 
                Or Dick is your friend, so you support him and assume he will 
                win because you like him. 
              v)   By logical 
                inference.  This can extend any of the above methods.  I.e. inference 
                based on observation forms method 2.  And Economists like inferences 
                based on assumptions. In our running example: At last year’s event 
                Harry won so you infer he’s the fastest athlete and will win again 
                this year.  Or Harry is a fit 57 year old whereas Tom has sprained 
                his ankle and is on crutches and Dick is over 90 and not doing 
                much walking let alone running these days.  Hence you infer that 
                Harry will win. 
             
            2)   
              Scientific method 
             
              i)    Definition 
                of “truth” .  E.g. “Correct symbolism to factual observation”.  
                And we differentiated this from validity, which we defined as 
                logical consistency. 
              ii)    Falsification: 
                The act of disproving a proposition, hypothesis, or theory. 
              iii)  Falsifiability 
                or refutability: the logical possibility that an assertion could 
                be shown false by a particular observation or physical experiment. 
                That something is "falsifiable" does not mean it is 
                false; rather, it means that IF the statement were false, then 
                its falsehood could be demonstrated.  The claim "No human 
                lives forever" is not falsifiable since it does not seem 
                possible to prove wrong. In theory, one would have to observe 
                a human living forever to falsify that claim. On the other hand, 
                "All humans live forever" is falsifiable since the presentation 
                of just one dead human could prove the statement wrong. Moreover, 
                a claim may be true and still be falsifiable; if "All humans 
                live forever" were true, we would never actually find a dead 
                human, and yet that claim would still be falsifiable because we 
                can at least imagine the observation that would prove it wrong.  
                 
              iv)  Four 
                truth values for statements from Operation Philosophy:  
               
                a)   
                  True (falsifiable and 
                  supported with evidence, so it’s taken as tentatively true) 
                b)   
                  False(falsifiable and 
                  disproved),  
                c)   
                  Indeterminate (falsifiable in principle but one can't 
                  test it yet.  I.e. the truth value is dated) and  
                d)   
                  Meaningless (not falsifiable 
                  at all). 
               
              v)   The scientific 
                method uses induction to help develop theories and deduction to 
                test them.  Science using induction can generate many theories 
                from a set of data.  Which do you choose?  Occam's razor says 
                choose the simplest.  
              vi)  We 
                covered four Types of Science from a paper written by Bob Pula 
                and Stuart Mayper.  
               
                a)   
                  Accepted Science: Theories 
                  that are not yet refuted, after rigorous tests.  
                b)   
                  Erroneous Science: Theories 
                  that are not yet refuted, but are tested by false data. 
                c)   
                  Pseudoscience: Theories 
                  inconsistent with accepted science, attempts to refute them 
                  avoided or ignored: E.g. Astrology, Numerology, Tarot Cards, 
                  etc. 
                d)   
                  Fringe Science: Theories 
                  inconsistent with accepted science, not yet refuted, but attempts 
                  to do so invited. 
               
              vii) Asymmetry 
                of knowledge about generalisations. 
               
                a)   
                  Asymmetry of knowledge.  When testing generalities, we 
                  treat the statement as  tentatively true when supported but 
                  false with a single false result. e.g. the group tested y=2 
                  + sin(PI*x) which gave y=2 for all the integers the group tested 
                  it with, until after about 5 minutes Gavan mentioned x=.1 where 
                  y=1.69, so the supported theory of y=2 for all x was disproved. 
                b)   
                  Albert Einstein quote: 
                  "No amount of experimentation can ever prove me right; 
                  a single experiment can prove me wrong." 
                c)   
                  For example, Aristotelian mechanics explained observations 
                  of everyday situations (he had an earth centred universe because 
                  everything seemed to revolve around the earth.), but these ideas 
                  were falsified by Galileo’s experiments (Galileo observed that 
                  the phases of Venus matched up with a sun centred rather than 
                  earth centred model.  He also saw the moons of Jupiter circling 
                  Jupiter rather than the Earth.  So Aristotelian mechanics were 
                  replaced by Newtonian mechanics, which accounted for the phenomena 
                  noted by Galileo (and others like Kepler). Newtonian theory 
                  covered the observed motion of all the planets. However, astronomers 
                  then noticed the size of the precession of the orbit of Mercury, 
                  which was not predicted by Newtonian mechanics, but was by Einstein's 
                  general relativity. 
               
              viii) So science 
                tries to disprove theories.  An example of disproof in real life: 
               
                a)   
                  Stress cause ulcers. 
                b)   
                  Disproved when someone found a bacterium that caused 
                  it.   
                c)   
                  So the stress theory 
                  was tossed out. 
                d)   
                  But more research showed that stress reduced the immune 
                  system’s ability to fix the stomach wall/lining ulcer that the 
                  ulcer bacteria caused.  I.e. both bacteria and stress are related 
                  to the ulcer.  One promotes it and the other reduces the body’s 
                  ability to counter it. 
               
              ix)  Despite popular 
                impressions of science, scientific method does not answer all 
                questions.  Scientific method answers only those that pertain 
                to perceived reality.  To those theories that we can categorise 
                as scientifically meaningless, general semantics suggests using 
                the formulation of “agreeing to disagree” where appropriate. 
             
            3)   Falsifiability 
             
              i)    How 
                falsifiability relates to: Knowledge, Information, Clarity and 
                Precision. Generally speaking the more falsifiable a theory is, 
                the better a theory it is. This is because the more a theory claims, 
                the more opportunities exist to find observations that are inconsistent 
                with it. Theories that make wide-ranging claims are considered 
                to be epistemologically more desirable than those that do not 
                (assuming they have not been falsified). So scientists are best 
                to produce theories with large information content. Example:  
               
                a)   
                  Theory 1: Mercury moves 
                  in an ellipse around the sun. 
                b)   
                  Theory 2: All planets 
                  move in ellipses around their star. 
               
              ii)    Note: 
                Theory 2 would appear to have higher status as a piece of scientific 
                knowledge because it explains a generality in celestial mechanics. 
                Consequently the second law is more falsifiable. Further any falsification 
                of the first law will be a falsification of the second, however 
                the reverse is not true. 
              iii)  Precision.  
                Which is better: 
               
                a)   
                  If I let an object go, 
                  it will fall to the table by lunchtime. 
                b)   
                  If I let an object go, 
                  it will fall to the table within one second. 
               
              iv)  And 
                another example of precision. Which is better? 
               
                a)   
                  If I rain dance for over 
                  30 seconds, it will rain at least 5mm by midnight. 
                b)   
                  If I rain dance hard 
                  enough, for long enough, it will rain eventually. 
               
              v)   Examples 
                of hypotheses that are falsifiable. 
               
                a)   
                  A heavier than air object, 
                  that is let go in still air, in Earth's atmosphere, will drop. 
                b)   
                  It is never rains in 
                  Alice Springs. 
                c)   
                  All substances expand 
                  when heated.  
               
              vi)  Examples 
                of hypotheses that are not falsifiable 
               
                a)   
                  Either it is raining 
                  or not raining (this covers all options). 
                b)   
                  All points on a Euclidean 
                  circle are equidistant from the centre (this is covered by validity 
                  and not truth). 
                c)   
                  The people I work with 
                  all have an inner subjective experience (no way to directly 
                  observe the subjective experience). 
                d)   
                  Laurie will succeed at one of his future GS promotional 
                  projects. (no criteria to judge by. It needs a date and observed 
                  level.  E.g. Laurie will recruit 100 new members by Xmas 2011.)  
                  I.e. the original is too vague.  Also, if Laurie’s expectations 
                  are too high and if he values it too highly as well, then he 
                  runs the risk of getting IFD. 
                e)   
                  We are all just part of a huge giant’s dream.  And when 
                  the giant wakes up we will all vanish. 
               
              4)   Belief 
                Revision 
               
                We 
                  reviewed a paper by Gabriella Pigozzi -University of Luxembourg 
                  (with modifications made by the presenter.) 
                i)    
                  Introduction to belief 
                  revision 
                 
                  a)   Knowledge 
                    and belief 
                   
                    (1) 
                      Belief is a doxastic 
                      notion (pertaining to or depending on opinion; e.g. speculative 
                      or theoretical); knowledge is an epistemic notion (about 
                      what is true or false, and what constitutes valid information 
                      for making such evaluations). 
                    (2) 
                      Knowledge is justified true belief.  I.e. a subset 
                      of someone’s beliefs, as knowledge requires some evidence.  
                      So knowledge is more likely to be true than belief without 
                      evidence.  E.g. Eric could believe that man never landed 
                      on the moon. 
                    (3) 
                      If beliefs can be false, it is usually assumed that 
                      a person’s belief set is at least consistent.  Although 
                      in real life this is not always the case. We had a challenge, 
                      to try to find some inconsistency in GS.  If you are not 
                      able to, then try to find something false.  Or at least 
                      find something where two or more high profile GS people 
                      disagree. The group could not find an inconsistency but 
                      they did mention “colloids related to life” as an example 
                      of something false.  They also gave Korzybski’s disclaimer 
                      about this claim (“The reader should not ascribe any uniqueness 
                      of the 'cause-effect' character to the statements which 
                      follow[about colloids], as they may not be true when generalized.”).  
                      The group also mentioned the conflict between Hayakawa and 
                      Korzybski over the structural differential. 
                   
                  b)  What is belief 
                    revision?  Belief revision studies how a person should change 
                    her beliefs in face of a new information.  Suppose a person 
                    believes in a set of beliefs: B1, . . . ,Bn.  She then learns 
                    (or observes) event E, which contradicts one of the beliefs 
                    Bi . What should she do?  
                  An example:  Suppose 
                    that a person believes this information: 
                   
                    (a) 
                      All European swans 
                      are white 
                    (b) 
                      The bird caught in 
                      the trap is a swan 
                    (c) The 
                      bird caught in the trap was trapped in Sweden. 
                    (d) 
                      Sweden is part of 
                      Europe 
                    (e) 
                      From a-d above you 
                      can derive: The bird caught in the trap is white. 
                    (f) Now 
                      suppose that the bird caught is black. What should you do?  
                      We agreed that its best to eliminate belief a) 
                    (g) 
                      It is not obvious how to restore consistency in the 
                      example above as logic alone just says its inconsistent 
                      but not which ones to get rid of.  An additional complication 
                      is that more beliefs can be derived from the ones explicitly 
                      stated.  What do we do with the derived beliefs, do we keep 
                      them or do they go? 
                   
                  c)   We noted 
                    that observed facts are more reliable than inferences.  E.g. 
                    a pile of money on a book one can see is more reliable information 
                    than a pile under a handkerchief.  It turned out in our example 
                    that there where blocks under the handkerchief. 
                  d)   So to restore 
                    consistency, an idea is that the information lost when giving 
                    up beliefs should be kept to a minimum. Another is that some 
                    beliefs are considered more important or well-established 
                    than others and the beliefs that should be retracted are the 
                    least important ones. So this leads to: The principle of minimal 
                    change. When someone revises her beliefs in light of learning/observing 
                    facts, only the minimal change necessary to incorporate the 
                    new information should be made.  The idea is that for a scientific 
                    theory change, a theory tends to accommodate new observations 
                    by making the smallest necessary changes. The author gave 
                    the following rationality criteria on performing a belief 
                    change: 
                   
                    (1) 
                      The set of beliefs 
                      should be kept as consistent as possible. 
                    (2) 
                      The belief set should 
                      include logically inferred knowledge. 
                    (3) 
                      The amount of information 
                      lost in a belief change should be kept minimal. 
                    (4) 
                      If some beliefs are 
                      considered more important or well-established (with evidence) 
                      than others, one should retract the least important ones. 
                      (I gave the analogy of removing blocks at the top of a block 
                      tower which does not affect the overall structure versus 
                      removing the ones at the bottom which makes the whole tower 
                      collapse.) 
                   
                  e)   Three 
                    attitudes an agent can have with respect to a sentence and 
                    its negation 
                   
                    (1) 
                      Believe that is true 
                      (acceptance). 
                    (2) 
                      Believe that is false 
                      (rejection). 
                    (3) 
                      Neither believe that is true nor that it is false 
                      (suspension of belief).  From operational philosophy, this 
                      can be subdivided into: 
                     
                      (a) 
                         Currently indeterminate. 
                      (b) 
                        Meaningless, therefore never determined.  So you 
                        forever suspend your belief. 
                     
                   
                 
                ii)    Three kinds 
                  of belief changes.  Expansion, contraction, and revision of 
                  a belief set K (i.e. a knowledge based belief set.):  
                 
                  a)   Expansion:  
                    New evidence E is added to K, together with the logical consequences 
                    of the evidence E. 
                  b)   Contraction: 
                    Some belief Ki in a belief set K is retracted without 
                    adding any new facts. This is done for the set to be logically 
                    consistent, so some beliefs from K must be given up. (And 
                    it may also occur so as to simplify the belief set. I.e. an 
                    application of Occam’s Razor.) 
                  c)   Revision: 
                    New information E that is inconsistent with some beliefs in 
                    K is added and to maintain consistency, some of the old beliefs 
                    in K are deleted. 
                 
                iii)  Exercise 
                 
                  a)   All Korzybski’s 
                    statements are true.  Hence you can trust GS formulations. 
                  b)   Korzybski 
                    stated in S&S p 111-122 that colloidal chemistry is possibly 
                    the basis for life. 
                  c)   Five 
                    years after Korzybski’s death, Crick and Watson discovered 
                    DNA. 
                  d)   DNA 
                    => RNA => proteins, are found to be the basis of life. 
                    Not colloids. 
                  e)   Hence AK 
                    was wrong here.  A contradiction. What should you do?  Should 
                    one toss out all of GS? 
                  f)      The 
                    group decided to modify statement a) getting rid of the “All” 
                    and replacing it with “most”.  I.e. “Most of Korzybski’s statements 
                    are true (i.e. supported by current day evidence.)” 
                    
                 
               
             
           
         
        
         
          Membership, 
            2011 Programme etc. 
         
        
         
          Next Meeting: 
            December Christmas Party - Call for details!  
         
         
          (Updated 22 
            November 2010)  
         
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