In the valley of the blind, the one-eyed man is king.
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.
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.