I am in agreement with Guy Hoelzer in his assessment of the use of
log-transformed data.
Since I regularly deal with biological growth processes, using
log-transformed data is the clearest way to anaylyze proportional
relationships in nonlinear sysrtems.
By virtue of the way it compresses

Dear Sung et al.,
I appreciate human bias in terms of numerical scale, but I donâ€™t think that is
what we actually achieve by using logarithms. If the universe of possibility
is fractal, using a logarithm does not eliminate the problem of large numbers.
I think the primary outcome achieved by

Sorry Sung, you know about the rules of engagement in this list... you
have gone to 5 msgs. And that means one and half weeks of sanction. Even
more after having warned you privately several times.
Anyhow, tomorrow I will make public an embarrassing bureaucratic
procedure that the list has to

Hi Krassimir,
I think the main reason that we express 'information' as a logarithmic
function of the number of choices available, n, may be because the human brain
finds it easier to remember (and communicate and reason with) 10 than
100, or 100 than 10. . . . 0, etc.

Hi Krassimir,
I think the main reason that we express 'information' as a logarithmic
function of the number of choices, n, may be because the human brain finds it
easier to remember (and communicate and reason with) 10 than 100, or
100 than 10. . . . 0, etc.
All the

Dear Sung,
A simple question:
If always n>0 why we need log in
I = -log_2(m/n) = - log_2 (m) + log_2(n) (1)
Friendly greetings
Krassimir
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