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 Nights 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
scientist 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 changes 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 as 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 |