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“The most essential prediction of Darwinism is that, given an astronomical number of chances, unintelligent processes can make seemingly-designed systems, ones of the complexity of those found in the cell. ID specifically denies this, predicting that in the absence of intelligent input no such systems would develop. So Darwinism and ID make clear, opposite predictions of what we should find when we examine genetic results from a stupendous number of organisms that are under relentless pressure from natural selection. The recent genetic results are a stringent test. The results: 1) Darwinism’s prediction is falsified; 2) Design’s prediction is confirmed.”
Michael J. Behe“He explained that unlike our other classes in the program, research was all about prediction and control. I was smitten. You mean that rather than leaning and holding, I could spend my career predicting and controlling? I had found my calling.”
Brené Brown, Daring Greatly: How the Courage to Be Vulnerable Transforms the Way We Live, Love, Parent, and Lead“Music gives pleasure because your mind keeps predicting what comes next. Each correct prediction triggers dopamine. You can't make good predictions for unfamiliar music, so you don't get the dopamine. But when music is too familiar, something strange happens. You don't get the dopamine either because your brain predicts it effortlessly. To make you happy, music must be at the sweet spot of novelty and familiarity.”
Loretta Graziano Breuning, Habits of a Happy Brain: Retrain Your Brain to Boost Your Serotonin, Dopamine, Oxytocin, Endorphin Levels“Like the weather or bonds between lovers,transformations can never be predicted.All energy transmutes one day or another,in one way or another. Either in its form or composition. Or in its position or disposition.”
Suzy Kassem, Rise Up and Salute the Sun: The Writings of Suzy Kassem“The average human being is actually quite bad at predicting what he or she should do in order to be happier, and this inability to predict keeps people from, well, being happier. In fact, psychologist Daniel Gilbert has made a career out of demonstrating that human beings are downright awful at predicting their own likes and dislikes. For example, most research subjects strongly believe that another $30,000 a year in income would make them much happier. And they feel equally strongly that adding a 30-minute walk to their daily routine would be of trivial import. And yet Dr. Gilbert’s research suggests that the added income is far less likely to produce an increase in happiness than the addition of a regular walk.”
Kerry Patterson, Influencer: The Power to Change Anything“Predicting has a spotty record in science fiction. I've had some failures. On the other hand, I also predicted the fall of the Berlin Wall and the rise of fundamentalist Islam... and I'm not happy to be right in all of those cases.”
David Brin“The future cannot be predicted, but futures can be invented. It was man’s ability to invent which has made human society what it is. The mental processes of inventions are still mysterious. They are rational but not logical, that is to say, not deductive.”
Dennis Gabor, Inventing The Future“I share your feeling that such behavior is, in some sense, unwise or erroneous, but this does not mean that it does not occur,' Amos wrote to an American economist who complained about the description of human nature implied by 'Value Theory.' 'A theory of vision cannot be faulted for predicting optical illusions. Similarly, a descriptive theory of choice cannot be rejected on the grounds that it predicts 'irrational behavior' if the behavior in question is in fact observed.”
Michael Lewis, The Undoing Project: A Friendship That Changed Our Minds“Dawes observed that the complex statistical algorithm adds little or no value. One can do just as well by selecting a set of scores that have some validity for predicting the outcome and adjusting the values to make them comparable (by using standard scores or ranks). A formula that combines these predictors with equal weights is likely to be just as accurate in predicting new cases as the multiple-regression formula that was optimal in the original sample. More recent research went further: formulas that assign equal weights to all the predictors are often superior, because they are not affected by accidents of sampling.”
Daniel Kahneman, Thinking, Fast and Slow