If we can vacate the Jerry Springer redux re: election results for a moment there is available some relevant information. Personal bias' that loom so large they become emotionally driven and negate one's ability to percieve and quantify the extant information available are a death knell to survival.
Obviously, all elections are the result of personal bias', beliefs. Why else would we vote if not to get the reality we must conform to leaning toward our bias'.That's not the issue. The issue here is understanding the deeper reasons that formed the bias' that produced the result. Allowing emotions to overwhelm logic even in a street fight is lethal. Emotions can augment logic but should never be the seed of the decision making process as the probability of failure soars.
https://realinvestmentadvice.com/the-inconvenient-truth-behind-donald-trumps-victory/
The ability to adjust one's perceptual mode to neutral is paramount. Filtering information through personal perceptual warps is a recipe for bad decision making.
The above charts display that a large swath of the population is losing, they don't need someone to tell them they're losing, they have checkbooks, credit card bills and rent to tell them they're losing.
Note the last three paragraphs in this article.
http://www.npr.org/sections/alltech...w-trump-winning-swing-states-when-polls-didnt
In order to build a statistical model we need much more information. We need demographic/psychographic info. Zip codes, incomes, ages, number of children, ages of children, private or public school, both parents employed, % of family income that goes to what, etc, etc. That's the only way to properly define the impetus of actions. This app if pursued with more info in effect creates a double blind study of the American middle class.
Obviously, all elections are the result of personal bias', beliefs. Why else would we vote if not to get the reality we must conform to leaning toward our bias'.That's not the issue. The issue here is understanding the deeper reasons that formed the bias' that produced the result. Allowing emotions to overwhelm logic even in a street fight is lethal. Emotions can augment logic but should never be the seed of the decision making process as the probability of failure soars.
https://realinvestmentadvice.com/the-inconvenient-truth-behind-donald-trumps-victory/
The ability to adjust one's perceptual mode to neutral is paramount. Filtering information through personal perceptual warps is a recipe for bad decision making.
The above charts display that a large swath of the population is losing, they don't need someone to tell them they're losing, they have checkbooks, credit card bills and rent to tell them they're losing.
Note the last three paragraphs in this article.
http://www.npr.org/sections/alltech...w-trump-winning-swing-states-when-polls-didnt
In order to build a statistical model we need much more information. We need demographic/psychographic info. Zip codes, incomes, ages, number of children, ages of children, private or public school, both parents employed, % of family income that goes to what, etc, etc. That's the only way to properly define the impetus of actions. This app if pursued with more info in effect creates a double blind study of the American middle class.