B
Bill Sloman
Guest
On Dec 12, 4:32 pm, John Larkin
<jjlar...@highNOTlandTHIStechnologyPART.com> wrote:
Scientific Instruments that say pretty much exactly that.
imperfect assimilation of the rules, and unfamiliarity with relevant
precedents (aka the state of the art), but John wants to construct an
argument, and isn't going to let mere facts stand in his way.
http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=RSINAK000075000003000788000001&idtype=cvips&gifs=yes&ref=no
rather more predictable, and construct climate models that aren't
susceptible to the butterlfy effect.
http://www.ornl.gov/info/ornlreview/rev28_2/text/cli.htm
As usual, John's analogy fails because it attempts to cover areas that
he know little about - so little that he doesn't appreciate the extent
of his ignorance.
--
Bill Sloman, Nijmegen
<jjlar...@highNOTlandTHIStechnologyPART.com> wrote:
An entertaining observation.On Sat, 12 Dec 2009 10:52:25 +0200, Paul Keinanen <keina...@sci.fi
wrote:
On Fri, 11 Dec 2009 15:49:40 -0800 (PST),Bill Sloman
bill.slo...@ieee.org> wrote:
You really will have to stop getting your "facts" from Exxon-Mobil
funded web-sites.
Once some of these web sites publish something that you agree with.
How do you react ?
Sloman's perceptions and reasoning are overwhelmed by his emotions;
that's obvious from his posts.
John Larkin indulging in wish-fulfilment again.That's one reason he can't design good electronics.
Too true. I've got a couple of comments published in the Review ofMost people trained (I won't say "educated") to be scientists are
rotten electronics designers.
Scientific Instruments that say pretty much exactly that.
Actually, most bad electronic design by physicists reflects anThat's because electronics design is
sufficiently complex to transcend simple reasoning, but the scientist
types can't get past rules-based thinking and are too impressed by
precedent.
imperfect assimilation of the rules, and unfamiliarity with relevant
precedents (aka the state of the art), but John wants to construct an
argument, and isn't going to let mere facts stand in his way.
http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=RSINAK000075000003000788000001&idtype=cvips&gifs=yes&ref=no
Others of course recognise that while weather is chaotic, climate isThere's a direct analogy to modeling climate systems: some
people think simple computer models fed bad data can predict the
behavior of chaotic systems, some know better.
rather more predictable, and construct climate models that aren't
susceptible to the butterlfy effect.
http://www.ornl.gov/info/ornlreview/rev28_2/text/cli.htm
As usual, John's analogy fails because it attempts to cover areas that
he know little about - so little that he doesn't appreciate the extent
of his ignorance.
--
Bill Sloman, Nijmegen