In the valley of the
blind, the one-eyed man is king.
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Pixology
is the study of perception thresholds. Pixology
is to history, science, biology, politics, economics, and sociology what
calculus is to algebra. Pixology
as a science has not been previously and properly recognized much like the
people who still “can’t see the trees for the forest.” In fact, Pixology is the study of that
specific point in one’s perception when you can’t see the trees for the
forest. The
significance of Pixology is that it doesn't ask "Can you see the trees
for the forest?" but rather asks "At what point did you notice that
the trees have disappeared?” And “What
is the relationship of the size of the trees to the size of the forest?” However, Pixology is just as relevant for
people with a technical, or anal–retentive, disposition in that it allows
them to determine at what point they can’t see the forest for the trees. (Note: it does not concern itself as to
whether “anal-retentive” is hyphenated or not hyphenated.) Pixology
has also existed in literature such as Shakespeare’s "Midsummer’s Night’s
Dream" where he wrote, "The poets eye... gives airy nothingness a
local habitation and a name.” Giving
airy nothingness a "local habitation and a name" is the process of
Pixology as well as the history of the humans as a species. Or
instead of asking "the numbers of angels that can dance on the head of a
pin" Pixology asks "At what point did you start envisioning images
of angels?" Or
instead of asking "the number of monkeys needed to change a light
bulb" it asks "When did you realize that changing light bulbs was
not part of the monkey's pay grade?" Pixology
as a science has always existed much in the way that gravity existed before
Newton applied math and definitions to it.
(Mrs. Newton’s assessment, however, was "Speaking of apples,
could you get some for me. We have
company coming for dinner, and I need to bake a pie.") It
also studies societies' abhorrence of out-breeding (bastards) versus
in-breeding, despite the tendency for in-breeding to produce people who act
like social bastards and out-breeding to produce
individuals that frequently have a very significant and positive impact on
society. And it asks how much of a bastard are those individuals? And at what point was their bastardy
noticed by the rest of society? The
subtlety of Pixology is such that we are usually oblivious to, and take for
granted, the significance of those moments where we simultaneously are able
to see both the trees AND the forest.
However, we recognize the significance of those Whole Threshold
Fixation moments by frequently abbreviating them with the letters “WTF.” Pixology
not only asks what caused the evolution of animals into two types of
biological systems (cold blooded and warm-blooded animals) but asks why the
80/20 ratio typical of herbivores to carnivores for cold-blooded animals
differs from the 95/5 ratio typical of herbivores to carnivorous for
warm-blooded animals? Pixology
also recognizes that most answers as to the 80/20 ratio and perception
thresholds are as obvious as your hand in front of your face. However, if you are like most people, you
haven't noticed the obvious that you are likely to have four fingers and one
thumb which is an 80/20 ratio. Or that
when you put only your thumb in your eye it still doesn't hurt as much as
doing it with all of your other fingers and toes which is a 95/5 ratio.
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Because
of Pixology, there is also now an explanation for people sometimes being too
smart. Those people who are too smart
have always been a problem for societies.
For example, 100 years ago Bill Gates would have been
institutionalized for his Asperger's syndrome, and Steve Jobs would have been
jailed for fathering a child out of wedlock.
(Ironically, the name of Job’s out-of-wedlock daughter was the origin
of the name for his ill-fated "Lisa" computer). An
even worse fate for someone gifted in Pixology, or just too smart for their
own good, was not what happened to Copernicus, but rather what happened to
one of his disciples Giordano Bruno.
(Bruno was burned at the stake for his heresy.) http://en.wikipedia.org/wiki/Giordano_Bruno Pixology
not only studies the threshold for being too smart, it even
allows you to calculate the threshold for being too smart as that threshold
changes. The thresholds for those
processes of being too smart are usually defined as going from being regarded
as a smart-ass, to being regarded as humorous, to being regarded as profound. Famous Pixology Cats Pixology
also explains the types of cats foisted on famous scientists who have
investigated the Laws of Physics.
"Schrödinger’s cat" resulted from the Quantum Mechanics
concept of his cat being trapped in a box and his uncertainty as to whether
the cat was alive or dead until he opened up the box. Mathematically, until he opened up the box,
the cat was simultaneously both alive AND dead. Schrödinger’s cat was called Enigma. "Heisenberg's
cat" resulted from his concept whereby observing an event change that event due to changes in either the energy or
momentum used in the observation process.
However, the process of observing Heisenberg's cat changes the
behavior of the cat because it requires dissection, resulting in the
difficulty that, by observing his cat, you effectively kill the cat. It is why 90% of the key to solving any
problem is the proper definition of that problem in that by properly defining
a problem, you tend to kill it as a problem.
Heisenberg’s cat was called Entropy. Isaac
"Newton’s cat” was called Inertia, but every time he let go of it, it
dropped to the ground. Einstein,
however, was allergic to cats, which is possibly why he failed to understand
or believe in Quantum Mechanics and string theory. Instead, Einstein had a dog named Dice
which he mistakenly thought was God. And
finally, Stephen “Hawking's cat” is called Pixel. He communicates with it only by
computer. The problem with Pixel is
that every time you try to look at it and get too close, the cat
disappears. It also explains why most
people don't understand Hawking's cat, and why Stephen Hawking probably
doesn't like cats. 2010-12-20 |