Wrong Predictions Quotes

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Love the quick profit, the annual raise, vacation with pay. Want more of everything ready-made. Be afraid to know your neighbors and to die. And you will have a window in your head. Not even your future will be a mystery any more. Your mind will be punched in a card and shut away in a little drawer. When they want you to buy something they will call you. When they want you to die for profit they will let you know. So, friends, every day do something that won’t compute. Love the Lord. Love the world. Work for nothing. Take all that you have and be poor. Love someone who does not deserve it. Denounce the government and embrace the flag. Hope to live in that free republic for which it stands. Give your approval to all you cannot understand. Praise ignorance, for what man has not encountered he has not destroyed. Ask the questions that have no answers. Invest in the millenium. Plant sequoias. Say that your main crop is the forest that you did not plant, that you will not live to harvest. Say that the leaves are harvested when they have rotted into the mold. Call that profit. Prophesy such returns. Put your faith in the two inches of humus that will build under the trees every thousand years. Listen to carrion — put your ear close, and hear the faint chattering of the songs that are to come. Expect the end of the world. Laugh. Laughter is immeasurable. Be joyful though you have considered all the facts. So long as women do not go cheap for power, please women more than men. Ask yourself: Will this satisfy a woman satisfied to bear a child? Will this disturb the sleep of a woman near to giving birth? Go with your love to the fields. Lie down in the shade. Rest your head in her lap. Swear allegiance to what is nighest your thoughts. As soon as the generals and the politicos can predict the motions of your mind, lose it. Leave it as a sign to mark the false trail, the way you didn’t go. Be like the fox who makes more tracks than necessary, some in the wrong direction. Practice resurrection.
Wendell Berry
The possibility of death was like the weather—you could make attempts to predict it, but you would likely be wrong, and no one would change their most important plans due to threat of rain.
Fonda Lee (Jade War (The Green Bone Saga, #2))
You have to predict and examine and understand every argument the other side is going to throw at you. It's not about being the one who's right. It's about showing them why they're wrong.
Cherrie Lynn (Rock Me (Ross Siblings, #2))
All depression has its roots in self-pity, and all self-pity is rooted in people taking themselves too seriously.” At the time Switters had disputed her assertion. Even at seventeen, he was aware that depression could have chemical causes. “The key word here is roots,” Maestra had countered. “The roots of depression. For most people, self-awareness and self-pity blossom simultaneously in early adolescence. It's about that time that we start viewing the world as something other than a whoop-de-doo playground, we start to experience personally how threatening it can be, how cruel and unjust. At the very moment when we become, for the first time, both introspective and socially conscientious, we receive the bad news that the world, by and large, doesn't give a rat's ass. Even an old tomato like me can recall how painful, scary, and disillusioning that realization was. So, there's a tendency, then, to slip into rage and self-pity, which if indulged, can fester into bouts of depression.” “Yeah but Maestra—” “Don't interrupt. Now, unless someone stronger and wiser—a friend, a parent, a novelist, filmmaker, teacher, or musician—can josh us out of it, can elevate us and show us how petty and pompous and monumentally useless it is to take ourselves so seriously, then depression can become a habit, which, in tern, can produce a neurological imprint. Are you with me? Gradually, our brain chemistry becomes conditioned to react to negative stimuli in a particular, predictable way. One thing'll go wrong and it'll automatically switch on its blender and mix us that black cocktail, the ol’ doomsday daiquiri, and before we know it, we’re soused to the gills from the inside out. Once depression has become electrochemically integrated, it can be extremely difficult to philosophically or psychologically override it; by then it's playing by physical rules, a whole different ball game. That's why, Switters my dearest, every time you've shown signs of feeling sorry for yourself, I've played my blues records really loud or read to you from The Horse’s Mouth. And that’s why when you’ve exhibited the slightest tendency toward self-importance, I’ve reminded you that you and me— you and I: excuse me—may be every bit as important as the President or the pope or the biggest prime-time icon in Hollywood, but none of us is much more than a pimple on the ass-end of creation, so let’s not get carried away with ourselves. Preventive medicine, boy. It’s preventive medicine.” “But what about self-esteem?” “Heh! Self-esteem is for sissies. Accept that you’re a pimple and try to keep a lively sense of humor about it. That way lies grace—and maybe even glory.
Tom Robbins (Fierce Invalids Home from Hot Climates)
Mentoring a young person is four times more predictive of happiness than your health or how much money you make.
Eric Barker (Barking Up the Wrong Tree: The Surprising Science Behind Why Everything You Know About Success Is (Mostly) Wrong)
Never predict the end of the world. You’re almost certain to be wrong, and if you’re right, no one will be around to congratulate you.
John Green (The Anthropocene Reviewed: Essays on a Human-Centered Planet)
Also, when you are young, you think you can predict the likely pains and bleaknesses that age might bring. You imagine yourself being lonely, divorced, widowed; children growing away from you, friends dying. You imagine the loss of status, the loss of desire – and desirability. You may go further and consider your own approaching death, which, despite what company you may muster, can only be faced alone. But all this is looking ahead. What you fail to do is look ahead, and then imagine yourself looking back from the future point. Learning the new emotions that time brings. Discovering, for example, that as the witnesses to your life diminish, there is less corroboration, and therefore less certainty, as to what you are or have been. Even if you have assiduously kept records – in words, sound, pictures – you may find that you have attended to the wrong kind of record-keeping. What was the line Adrian used to quote? 'History is that certainty produced at the point where the imperfections of memory meet the inadequacies of documentation.
Julian Barnes (The Sense of an Ending)
We get a lot of the sky is falling on the weather reports, so when something big does hit, people never expect it. If it's not as bad as the reports predicted, we complain. If it's worse than expected, we complain. If it's just as bad as predicted, we complain about that, too, because we'll say that the reports are wrong so often, there was no way to know they'd be right this time. It just gives people something to complain about.
Nicholas Sparks (Safe Haven)
All predictions are wrong, that's one of the few certainties granted to mankind.
Milan Kundera (Ignorance)
How good are markets in predicting real-world developments? Reading the record, it is striking how many calamities that I anticipated did not in fact materialise. Financial markets constantly anticipate events, both on the positive and on the negative side, which fail to materialise exactly because they have been anticipated. It is an old joke that the stock market has predicted seven of the last two recessions. Markets are often wrong.
George Soros
My astrologer predicted a year of successful enterprise and good fortune. So what went wrong? Had there been some ghastly beaureaucratic astral mix up?
Tyne O'Connell (Latest Accessory (Meet Me at the Bar, #2))
It is better to be roughly right than precisely wrong.
Carveth Read (Logic, Deductive and Inductive)
All art is a work in progress. It’s helpful to see the piece we’re working on as an experiment. One in which we can’t predict the outcome. Whatever the result, we will receive useful information that will benefit the next experiment. If you start from the position that there is no right or wrong, no good or bad, and creativity is just free play with no rules, it’s easier to submerge yourself joyfully in the process of making things. We’re not playing to win, we’re playing to play. And ultimately, playing is fun. Perfectionism gets in the way of fun. A more skillful goal might be to find comfort in the process. To make and put out successive works with ease.
Rick Rubin (The Creative Act: A Way of Being)
To know exactly what I wanted to hear in those notes, to woo me back to her, even to predict all my wrong moves … the woman knew me cold. Better than anyone in the world, she knew me. All this time I’d thought we were strangers, and it turned out we knew each other intuitively, in our bones, in our blood.
Gillian Flynn (Gone Girl)
To me, the conclusion that the public has the ultimate responsibility for the behavior of even the biggest businesses is empowering and hopeful, rather than disappointing. My conclusion is not a moralistic one about who is right or wrong, admirable or selfish, a good guy or a bad guy. My conclusion is instead a prediction, based on what I have seen happening in the past. Businesses have changed when the public came to expect and require different behavior, to reward businesses for behavior that the public wanted, and to make things difficult for businesses practicing behaviors that the public didn't want. I predict that in the future, just as in the past, changes in public attitudes will be essential for changes in businesses' environmental practices.
Jared Diamond (Collapse: How Societies Choose to Fail or Succeed)
Travelling', she sighed.'So predictable.' 'What's wrong with travelling?' 'Avoiding reality more like.' 'I think reality is over-rated,' he said in the hope that this might come across as dark and charismatic.
David Nicholls (One Day)
What’s shocking is that when asked to make predictions, depressed people are more accurate than optimists. It’s called “depressive realism.” The world can be a harsh place. Optimists lie to themselves. But if we all stop believing anything can change, nothing ever will. We need a bit of fantasy to keep us going.
Eric Barker (Barking Up the Wrong Tree: The Surprising Science Behind Why Everything You Know About Success Is (Mostly) Wrong)
The companies, institutions, and governments relied on assumptions about the predictability of the world, and they were wrong. As their assumptions had worked in the past, they are now blaming the nature of the world (not the erroneous assumptions they made).
Roger Spitz (The Definitive Guide to Thriving on Disruption: Volume IV - Disruption as a Springboard to Value Creation)
All models are wrong,” the statistician George Box observed, “but some are useful.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
It is a consolation or a misfortune that the wrong kind of people are too often correct in their prognostications of the future; the far-seeing are also the foolish.
Robbie Ross (Reviews (Project Gutenberg, #14240))
You're an abnormality. People get scared when they come across something that doesn't behave the way they expect it to. People like labels and categories and things that they can predict. When people can't explain something, they assume it's because there's something wrong with it. They try to fix it or change it. They mess with it until it's translatable and they bring it down to their level. Trying to change someone is easier than trying to accept them. It's how they were programmed
Katie Kacvinsky (Second Chance (First Comes Love, #2))
We are governed with market norms (money) in exchange for pleasure, neccesities. That's what is wrong with the system. If services are free, everyone will think about social justice, the consequences of appearing greedy and the welfare of everyone.
Dan Ariely (Predictably Irrational: The Hidden Forces That Shape Our Decisions)
As the statistician George E. P. Box wrote, "All models are wrong, but some models are useful." What he meant by that is that all models are simplifications of the universe, as they must necessarily be. As another mathematician said, "The best model of a cat is a cat." ... The key is in remembering that a model is a tool to help us understand the complexities of the universe, and never a substitute for the universe itself.
Nate Silver (The Signal and the Noise: Why So Many Predictions Fail—But Some Don't)
I prefer detective or psychological thrillers, anything that promises and then delivers a twist. I like to get the old grey matter working and decipher who the bad guy is. I’m hard to please though. If I guess the culprit correctly, I’ll be disappointed at how predictable the story is. If I get it wrong, I’ll be annoyed at myself for not spotting it earlier.
John Marrs (What Lies Between Us)
I don't make mistakes. I make predictions which immediately turn out to be wrong.
Tony Benn (Arguments for Socialism)
Fuzzy thinking can never be proven wrong. And only when we are proven wrong so clearly that we can no longer deny it to ourselves will we adjust our mental models of the world—producing a clearer picture of reality. Forecast, measure, revise: it is the surest path to seeing better.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
Who needs theory when you have so much information? But this is categorically the wrong attitude to take toward forecasting, especially in a field like economics where the data is so noisy.
Nate Silver (The Signal and the Noise: Why So Many Predictions Fail—But Some Don't)
Children of addicted parents experience the lack of predictability as highly anxiety-provoking. As adults, they are therefore at significantly higher risk to have anxiety disorders and to become addicts themselves than are people who were raised by non-addicted parents. Being a good parent most of the time and a horrible parent once in awhile creates insecure, anxious adults who are just waiting for things to go wrong.
Jonice Webb (Running on Empty: Overcome Your Childhood Emotional Neglect)
Sometimes, Arin almost understood what Kestrel had done. Even now, as he felt the drift of the boat and didn't fight its pull, Arin remembered the yearning in Kestrel's face whatever she'd mentioned her father. Like a homesickness. Arin had wanted to shake it out of her. Especially during those early months when she had owned him. He had wanted to force her to see her father for what he was. He had wanted her to acknowledge what she was, how she was wrong, how she shouldn't long for her father's love. It was soacked in blood. Didn't she see that? How could she not? Once, he'd hated her for it. Then it had somehow touched him. He knew it himself. He, too, wanted what he shouldn't. He, too, felt the heart chooses its own home and refuses reason. Not here, he'd tried to say. Not this. Not mine. Never. But he had felt the same sickness. In retrospect, Kestrel's role in the taking of the eastern plains was predictable. Sometimes he damned her for currying favor with the emperor, or blamed her playing war like a game just because she could. Yet he thought he knew the truth of her reasons. She'd done it for her father. It almost made sense. At least, it did when he was near sleep and his mind was quiet, and it was harder to help what entered. Right before sleep, he came close to understanding. But he was awake now.
Marie Rutkoski (The Winner's Crime (The Winner's Trilogy, #2))
Predicting the stock market is really predicting how other investors will change estimates they are now making with all their best efforts. This means that, for a market forecaster to be right, the consensus of all others must be wrong and the forecaster must determine in which direction-up or down-the market will be moved by changes in the consensus of those same active investors.
Burton G. Malkiel (The Elements of Investing)
What really got to me was not the fact that animal cruelty could predict violent behavior—it's that up until I read about it, I never thought that it was wrong. I was killing animals and taking them apart, and I had all the emotional reaction of a kid playing with Legos. It's like they weren't real to me —they were just toys to play with. Things.
Dan Wells (I Am Not a Serial Killer (John Cleaver, #1))
But though predictions may be wrong, they are right about the people who voice them, not about their future but about their experience of the present moment
Milan Kundera
In fact, we often prefer predictable, obvious suffering to suffering that may or may not happen at any given time. And
Kelly G. Wilson (Things Might Go Terribly, Horribly Wrong: A Guide to Life Liberated from Anxiety)
Even before i had children, I knew that being a parent was going to be challenging as well as rewarding. But I didn't really know. I didn't know how exhausted it was possible to become, or how clueless it was possible to feel, or how, each time I reached the end of my rope, I would somehow have to find more rope. I didn't understand that sometimes when your kids scream so loudly that the neighbors are ready to call the Department of Child Services, it's because you've served the wrong shape of pasta for dinner. I didn't realize that those deep-breathing exercises mothers are taught in natural-childbirth class dont really start to pay off until long after the child is out. I couldn't have predicted how relieved I'd be to learn that other peoples children struggle with the same issues, and act in some of the same ways, mine do. (Even more liberating is the recognition that other parents, too, have dark moments when they catch themselves not liking their own child, or wondering whether it's all worth it, or entertaining various other unspeakable thoughts). The bottom line is that raising kids is not for whimps.
Alfie Kohn (Unconditional Parenting: Moving from Rewards and Punishments to Love and Reason)
In all probability, the man who found the horoscope would also catch Nut and Nutcracker. They had to believe all the more strongly in the astrologer’s new forecast since none of his predictions had ever come true. Sooner or later, his prognoses had to be right, given that the king, who could never be wrong, had made him his Grand Augur.
E.T.A. Hoffmann (Nutcracker and Mouse King and The Tale of the Nutcracker)
Most people, when directly confronted by evidence that they are wrong, do not change their point of view or course of action but justify it even more tenaciously. Even irrefutable evidence is rarely enough to pierce the mental armor of self-justification. When we began working on this book, the poster boy for "tenacious clinging to a discredited belief" was George W. Bush. Bush was wrong in his claim that Saddam Hussein had weapons of mass destruction, he was wrong in claiming that Saddam was linked with Al Qaeda, he was wrong in predicting that Iraqis would be dancing joyfully in the streets to receive the American soldiers, he was wrong in predicting that the conflict would be over quickly, he was wrong in his gross underestimate of the financial cost of the war, and he was most famously wrong in his photo-op speech six weeks after the invasion began, when he announced (under a banner reading MISSION ACCOMPLISHED) that "major combat operations in Iraq have ended.
Carol Tavris (Mistakes Were Made, but Not by Me: Why We Justify Foolish Beliefs, Bad Decisions, and Hurtful Acts)
A brick could be used to foretell the future. Here’s my prediction: Tomorrow will happen. If I’m right, the brick was correct, and if I’m wrong, we’ll all be dead and my prognostication record remains unblemished.

Jarod Kintz (Brick and Blanket Test in Brick City (Ocala) Florida)
Go now, and live. Experience. Dream. Risk. Close your eyes and jump. Enjoy the freefall. Choose exhilaration over comfort. Choose magic over predictability. Choose potential over safety. Wake up to the magic of everyday life. Make friends with your intuition. Trust your gut. Discover the beauty of uncertainty. Know yourself fully before you make promises to another. Make millions of mistakes so that you will know how to choose what you really need. Know when to hold on and when to let go. Love hard and often and without reservation. Seek knowledge. Open yourself to possibility. Keep your heart open, your head high and your spirit free. Embrace your darkness along with your light. Be wrong everyday once in a while, and don't be afraid to admit it. Awaken to the brilliance in ordinary moments. Tell the truth about yourself no matter what the cost. Own your reality without apology. See goodness in the world. Be Bold. Be Fierce. Be Grateful. Be Wild, Crazy and Gloriously Free. Be You. Go now, and live.
Jeanette LeBlanc
Your guess [about the future of technology] is as good as mine. The only thing I'm sure of is (a) most of the predictions I hear are almost certainly wrong, and (b) the things that will turn out to be important will come as a surprise, even though in hindsight they'll seem perfectly obvious.
Steve Krug
We’re often wrong at predicting who or what will transform us. Encountering certain people, books, music, places, or ideas … at just the right time can immediately make our lives happier, richer, more beautiful, resonant, or meaningful. When it happens, we feel a kind of instant love for them, both deep and abiding. Now and then it can be something as trifling as a children’s book, a returned telephone call, or a night at a seaside bar in Mykonos.
Jonathan Carroll (Bathing the Lion)
Since I was in flight from religion, I assumed that my classmates had to be in flight from religion too, albeit in a quieter, savvier way than I had as yet been able to discover. Only today do I realize how mistaken I was. They were never in flight at all. Nor are their children in flight, or their grandchildren. By the time I reached by seventieth year, I used to predict, all the churches in the world would have been turned into barns or museums or potteries. But I was wrong. Behold, new churches spring up every day, all over the place, to say nothing of mosques. So Nietzsche's dictum needs to be amended: while it may be so that only the higher animals are capable of boredom, man proves himself highest of all by domesticating boredom, giving it a home.
J.M. Coetzee (Diary of a Bad Year)
Remorse, predictably, was the form taken by her distress, the merciless whipping that is self-condemnation, as if in times as bizarre as these there were a right way and a wrong way that would have been clear to somebody else, as if in confronting such predicaments the hand of stupidity is ever far from guiding anyone.
Philip Roth (The Plot Against America)
When you have a child, you start to dream of how this kid will grow up and make you proud. The only thing you can predict with 100% certainty is that the reality will diverge somehow from that dream. Some of our children will disappoint us by not being the scholars we hoped they would be. Some children will disappoint us by not being the athletes we hoped they would be. Some will disappoint us by coming out and telling us they are gay and they won't give us grandchildren...the real question is not, what book can I read, what technique can I use to raise a perfect child? The real question is how will you handle that gap between the child you dreamt of having and the real child growing up in your home...What I have learned is that any religion, if you do it wrong, will leave people feeling condemned and dismissed and unworthy and any religion, if you do it right, will leave people feeling cleansed and firmed. (118) Rabbi Harold Kushner
Carol Lynn Pearson (No More Goodbyes: Circling the Wagons around Our Gay Loved Ones)
In one of the paradoxes of storytelling, readers want to predict how the story will end (or how it will get to the end), but they want to be wrong.
Steven James (Story Trumps Structure: How to Write Unforgettable Fiction by Breaking the Rules)
All models are wrong, but some models are useful.”90 What he meant by that is that all models are simplifications of the universe, as they must necessarily be.
Nate Silver (The Signal and the Noise: Why So Many Predictions Fail-but Some Don't)
Mum looks hesitant. As mums get when they are accustomed to being able to predict their daughters’ questions, and then suddenly find they were wrong about that. Elsa shrugs.
Fredrik Backman (My Grandmother Asked Me to Tell You She's Sorry)
I say decisively that nothing is so marked in modern writing as the prediction of such ideals in the future combined with the ignoring of them in the past. Anyone
G.K. Chesterton (What's Wrong with the World)
but at the Lychgate we may all pass our own conduct and our own judgments under a searching review. It is not given to human beings, happily for them, for otherwise life would be intolerable, to foresee or to predict to any large extent the unfolding course of events. In one phase men seem to have been right, in another they seem to have been wrong. Then again, a few years later, when the perspective of time has lengthened, all stands in a different setting. There is a new proportion. There is another scale of values. History with its flickering lamp stumbles along the trail of the past, trying to reconstruct its scenes, to revive its echoes, and kindle with pale gleams the passion of former days. What is the worth of all this? The only guide to a man is his conscience; the only shield to his memory is the rectitude and sincerity of his actions. It is very imprudent to walk through life without this shield, because we are so often mocked by the failure of our hopes and the upsetting of our calculations; but with this shield, however the fates may play, we march always in the ranks of honor.
Winston S. Churchill
It turns out to be very difficult to devise a theory to describe the universe all in one go. Instead, we break the problem up into bits and invent a number of partial theories. Each of these partial theories describes and predicts a certain limited class of observations, neglecting the effects of other quantities, or representing them by simple sets of numbers. It may be that this approach is completely wrong. If everything in the universe depends on everything else in a fundamental way, it might be impossible to get close to a full solution by investigating parts of the problem in isolation. Nevertheless, it is certainly the way that we have made progress in the past.
Stephen Hawking (A Brief History of Time)
The possibility of death was like the weather - you could make attempts to predict it, but you would likely be wrong, and no one would change their most important plans due to the threat of rain.
Fonda Lee (Jade War (The Green Bone Saga, #2))
Bombs were not just weapons. They were something more, expressions of the bomber's thoughts about you, his predictions of your behavior - what you would see, even what you would think and feel. He'd staged a presentation designed to fool you. He didn't even know your name, but you were the one he was really after. Bombs were acts of murder, but they were also jokes on you, riddles the bomber hoped were too tough for you, chances for you to pick wrong when it was almost impossible to pick right.
Thomas Perry
Table 3–1. Definitions of Cognitive Distortions 1. ALL-OR-NOTHING THINKING: You see things in black-and-white categories. If your performance falls short of perfect, you see yourself as a total failure. 2. OVERGENERALIZATION: You see a single negative event as a never-ending pattern of defeat. 3. MENTAL FILTER: You pick out a single negative detail and dwell on it exclusively so that your vision of all reality becomes darkened, like the drop of ink that colors the entire beaker of water. 4. DISQUALIFYING THE POSITIVE: You reject positive experiences by insisting they “don’t count” for some reason or other. In this way you can maintain a negative belief that is contradicted by your everyday experiences. 5. JUMPING TO CONCLUSIONS: You make a negative interpretation even though there are no definite facts that convincingly support your conclusion. a. Mind reading. You arbitrarily conclude that someone is reacting negatively to you, and you don’t bother to check this out. b. The Fortune Teller Error. You anticipate that things will turn out badly, and you feel convinced that your prediction is an already-established fact. 6. MAGNIFICATION (CATASTROPHIZING) OR MINIMIZATION: You exaggerate the importance of things (such as your goof-up or someone else’s achievement), or you inappropriately shrink things until they appear tiny (your own desirable qualities or the other fellow’s imperfections). This is also called the “binocular trick.” 7. EMOTIONAL REASONING: You assume that your negative emotions necessarily reflect the way things really are: “I feel it, therefore it must be true.” 8. SHOULD STATEMENTS: You try to motivate yourself with shoulds and shouldn’ts, as if you had to be whipped and punished before you could be expected to do anything. “Musts” and “oughts” are also offenders. The emotional consequence is guilt. When you direct should statements toward others, you feel anger, frustration, and resentment. 9. LABELING AND MISLABELING: This is an extreme form of overgeneralization. Instead of describing your error, you attach a negative label to yourself: “I’m a loser.” When someone else’s behavior rubs you the wrong way, you attach a negative label to him: “He’s a goddam louse.” Mislabeling involves describing an event with language that is highly colored and emotionally loaded. 10. PERSONALIZATION: You see yourself as me cause of some negative external event which in fact you were not primarily responsible for.
David D. Burns (Feeling Good: The New Mood Therapy)
What is wrong with the [tale of] Two Swords?" he asked, even more surprised. "Don't you care for it?" "There is too bloody much romance in it," she said curtly. Ah, well, here was the crux of it, apparently. "Don't you like romance?" he ventured. She looked as though she were trying to decide if she should weep or, as he had earlier predicted, stick him with whatever blade she could lay her, hand on. "I don't know," she said briskly. "I see," he said, though he didn't. He wished, absently, that he'd had at least one sister. He was very well versed in what constituted courtly behavior and appropriate formal wooing practices, thanks to his father's insistence on many such lectures delivered by a dour man whose only acquaintance with women had likely come from reading about them in a book, but he had absolutely no idea how to proceed with a woman whose first instinct when faced with something that made her uncomfortable was to draw her sword. ... "I'll stop provoking you, but I will have the answer to a question. Why do you think most men woo?" "Because they have no sword skill and need something with which to occupy their time?
Lynn Kurland (The Mage's Daughter (Nine Kingdoms, #2))
A man with a conviction is a hard man to change. Tell him you disagree and he turns away. Show him facts or figures and he questions your sources. Appeal to logic and he fails to see your point. We have all experienced the futility of trying to change a strong conviction, especially if the convinced person has some investment in his belief. We are familiar with the variety of ingenious defenses with which people protect their convictions, managing to keep them unscathed through the most devastating attacks. But man’s resourcefulness goes beyond simply protecting a belief. Suppose an individual believes something with his whole heart; suppose further that he has a commitment to this belief, that he has taken irrevocable actions because of it; finally, suppose that he is presented with evidence, unequivocal and undeniable evidence, that his belief is wrong: what will happen? The individual will frequently emerge, not only unshaken, but even more convinced of the truth of his beliefs than ever before. Indeed, he may even show a new fervor about convincing and converting other people to his view.
Leon Festinger (When Prophecy Fails: A Social & Psychological Study of a Modern Group that Predicted the Destruction of the World)
All predictions are wrong, that’s one of the few certainties granted to mankind. But though predictions may be wrong, they are right about the people who voice them, not about the future but about their experience of the present moment.
Milan Kundera (Ignorance)
On my seventh birthday, my father swore, for the first of many times, that I would die facedown in a cesspool. On that same occasion, my mother, with all the accompanying mystery and elevated language appropriate for a prominent diviner, turned her cards, screamed delicately, and proclaimed that my doom was written in water and blood and ice. As for me, from about that time and for twenty years since, I had spat on my middle finger and slapped the rump of every aingerou I noticed, murmuring the sincerest, devoutest prayer that I might prove my parents' predictions wrong. Not so much that I feared the doom itself - doom is just the hind end of living, after all - but to see the two who birthed me confounded.
Carol Berg (Flesh and Spirit (Lighthouse, #1))
Nick was waiting for him. Gabriel hesitated. He wished those text messages had come with some kind of sign, whether Nick was pissed or exasperated or just completely done with him. Hell, a freaking emoticon would have been helpful. His own room sat pitch-dark at the opposite end of the hallway. A black hole. Gabriel eased around the creaky spot in the floor and slid past his twin's room. Once in his own, he flung his duffel bag onto the ground and shut the door, closing the dark around himself. He sighed and kicked his shoes into the well of blackness under the bed. Maybe Nick hadn't heard him. Maybe he thought he was still out in the car. "You are so predictable." Gabriel swore and fumbled for the light switch. Nick was straddling his desk chair backward, his arms folded on the backrest. "What the hell is wrong with you?" Gabriel snapped. "Why are you sitting here in the dark?" His twin shrugged. Because I knew you'd walk right past my room.
Brigid Kemmerer (Spark (Elemental, #2))
(Resilience) acknowledges from the outset that things will go wrong. All of our solutions will eventually outlive their usefulness. We will make messes, and disruption we do not cause or predict will land on us. This is the drama of being alive.
Krista Tippett (Becoming Wise: An Inquiry into the Mystery and Art of Living)
Why do such bad questions get predictably asked? Maybe part of the problem is that we have learned to ask the wrong questions of ourselves. Our culture is steeped in a kind of pop psychology whose obsessive question is: Are you happy? We ask it so reflexively that i seems natural to wish that a pharmacist with a time machine could deliver a lifetime supply of antidepressants to Bloomsbury, so that an incomparable feminist prose stylist could be reoriented to produce litters of Woolf babies.
Rebecca Solnit (The Mother of All Questions)
Marlena and I were very different, but sometimes, when we were together, we could erase our separate histories just by talking, sharing a joke or a look. But in the kitchen with Mom, the kitchen that was always clean, where there was always something to eat, where the water flowed predictably from the tap and behind every cabinet door were dishes, only dishes, I saw how wrong I was to feel like Marlena and I had so much in common, and how lucky. Because here was the difference that mattered. My skinny mom with her Chardonnay smell and her forgetting to unplug the flat iron, with her corny jokes about broccoli farts and her teeth bared in anger and her cleaning gloves in the backseat of the car, my mom who refused to stop loving me, who made dumb mistakes and drank too much and was my twin in laughter, my mom who would never, ever, leave, who I trusted so profoundly that a world without her in it exceeded the limits of my imagination. That was the difference, and it was huge, and my never seeing it before is something that I still regret.
Julie Buntin (Marlena)
If we're stuck on one world, we're limited to a single case; we don't know what else is possible. Then—like an art fancier familiar only with Fayoum tomb paintings, a dentist who knows only molars, a philosopher trained merely in NeoPlatonism, a linguist who has studied only Chinese, or a physicist whose knowledge of gravity is restricted to falling bodies on Earth—our perspective is foreshortened, our insights narrow, our predictive abilities circumscribed. By contrast, when we explore other worlds, what once seemed the only way a planet could be turns out to be somewhere in the middle range of a vast spectrum of possibilities. When we look at those other worlds, we begin to understand what happens when we have too much of one thing or too little of another. We learn how a planet can go wrong.
Carl Sagan (Pale Blue Dot: A Vision of the Human Future in Space)
You can always spot a fool, for he is the man who will tell you he knows who is going to win an election. But an election is a living thing -- you might almost say, the most vigorously alive thing there is -- with thousands upon thousands of brains and limbs and eyes and thoughts and desires, and it will wriggle and turn and run off in directions no one ever predicted, sometimes just for the joy of proving the wiseacres wrong.
Robert Harris (Imperium (Cicero, #1))
Becoming the savior of a world of wonder and magic before you turn fourteen does not exactly teach caution, in most cases, and many of the children who fall through the cracks in the world where they were born will one day find themselves opening the wrong door, peering through the wrong keyhole, and standing right back where they started. For some, this is a blessing. For some, it is easy to put the adventures and the impossibilities of the past behind them, choosing sanity and predictability and the world that they were born to be a part of. For others..... For others, the lure of a world where they fit is too great to escape, and they will spend the rest of their lives rattling at windows and peering at locks, trying to find the way home. Trying to find the one perfect door that can take them there, despite everything, despite the unlikeliness of it all.
Seanan McGuire (Beneath the Sugar Sky (Wayward Children, #3))
Every day, hundreds of observations and experiments pour into the hopper of the scientific literature. Many of them don't have much to do with evolution - they're observations about the details of physiology, biochemistry, development, and so on - but many of them do. And every fact that has something to do with evolution confirms its truth. Every fossil that we find, every DNA molecule that we sequence, every organ system that we dissect, supports the idea that species evolved from common ancestors. Despite innumerable possible observations that could prove evolution untrue, we don't have a single one. We don't find mammals in Precambrian rocks, humans in the same layers as dinosaurs, or any other fossils out of evolutionary order. DNA sequencing supports the evolutionary relationships of species originally deduced from the fossil record. And, as natural selection predicts, we find no species with adaptations that only benefit a different species. We do find dead genes and vestigial organs, incomprehensible under the idea of special creation. Despite a million chances to be wrong, evolution always comes up right. That is as close as we can get to a scientific truth.
Jerry A. Coyne (Why Evolution Is True)
They preach the supremacy of the state, declare its omnipotence over individual man and predict its eventual domination of all peoples on the Earth. They are the focus of evil in the modern world.... So, in your discussions of the nuclear freeze proposals, I urge you to beware the temptation of pride, the temptation of blithely declaring yourselves above it all and label both sides equally at fault, to ignore the facts of history and the aggressive impulses of an evil empire, to simply call the arms race a giant misunderstanding and thereby remove yourself from the struggle between right and wrong and good and evil.
Ronald Reagan
Good,” said the First Speaker. “And tell me, what do you think of all this. A finished work of art, is it not?” “Definitely!” “Wrong! It is not.” This, with sharpness. “It is the first lesson you must unlearn. The Seldon Plan is neither complete nor correct. Instead, it is merely the best that could be done at the time. Over a dozen generations of men have pored over these equations, worked at them, taken them apart to the last decimal place, and put them together again. They’ve done more than that. They’ve watched nearly four hundred years pass and against the predictions and equations, they’ve checked reality, and they have learned.
Isaac Asimov (Second Foundation (Foundation, #3))
We smile at each other. I ask him if it's unusual to be sad, as we are. He says it's because we've made love in the daytime, with the heat at its height. He says it's always terrible after. He smiles. Says, Whether people love one another or not, it's always terrible. Says it will pass as soon as it gets dark. I say he's wrong, it's not just because it was in the daytime, I feel a sadness I expected and which comes only from myself. I say I've always been sad. That I can see the same sadness in photos of myself when I was small. That today, recognizing it as the sadness I've always had, I could almost call it by my own name, it's so like me. Today I tell him it's a comfort, this sadness, a comfort to have fallen at last into a misfortune my mother has always predicted for me when she shrieks in the desert of her life.
Marguerite Duras (The Lover)
The Creed for the Sociopathic Obsessive Compulsive (Peter's Laws) 1. If anything can go wrong, Fix it!!! (To hell with Murphy!!) 2. When given a choice - Take Both!! 3. Multiple projects lead to multiple successes. 4. Start at the top, then work your way up. 5. Do it by the book... but be the author! 6. When forced to compromise, ask for more. 7. If you can't beat them, join them, then beat them. 8. If it's worth doing, it's got to be done right now. 9. If you can't win, change the rules. 10. If you can't change the rules, then ignore them. 11. Perfection is not optional. 12. When faced without a challenge, make one. 13. "No" simply means begin again at one level higher. 14. Don't walk when you can run. 15. Bureaucracy is a challenge to be conquered with a righteous attitude, a tolerance for stupidity, and a bulldozer when necessary. 16. When in doubt: THINK! 17. Patience is a virtue, but persistence to the point of success is a blessing. 18. The squeaky wheel gets replaced. 19. The faster you move, the slower time passes, the longer you live. 20. The best way to predict the future is to create it yourself!!
Peter Safar
To get just an inkling of the fire we're playing with, consider how content-selection algorithms function on social media. They aren't particularly intelligent, but they are in a position to affect the entire world because they directly influence billions of people. Typically, such algorithms are designed to maximize click-through, that is, the probability that the user clicks on presented items. The solution is simply to present items that the user likes to click on, right? Wrong. The solution is to change the user's preferences so that they become more predictable. A more predictable user can be fed items that they are likely to click on, thereby generating more revenue. People with more extreme political views tend to be more predictable in which items they will click on. (Possibly there is a category of articles that die-hard centrists are likely to click on, but it’s not easy to imagine what this category consists of.) Like any rational entity, the algorithm learns how to modify its environment —in this case, the user’s mind—in order to maximize its own reward.
Stuart Russell (Human Compatible: Artificial Intelligence and the Problem of Control)
IT (The country) IS HEADED TOWARD OVERSIMPLIFICATION. YOU WANT TO SEE A PRESIDENT OF THE FUTURE? TURN ON ANY TELEVISION ON ANY SUNDAY MORNING - FIND ONE OF THOSE HOLY ROLLERS: THAT'S HIM, THAT'S THE NEW MISTER PRESIDENT! AND DO YOU WANT TO SEE THE FUTURE OF ALL THOSE KIDS WHO ARE GOING TO FALL IN THE CRACKS OF THIS GREAT, BIG, SLOPPY SOCIETY OF OURS? I JUST MET HIM; HE'S A TALL, SKINNY, FIFTEEN-YEAR-OLD BOY NAMED "DICK." HE'S PRETTY SCARY. WHAT'S WRONG WITH HIM IS NOT UNLIKE WHAT'S WRONG WITH THE TV EVANGELIST - OUR FUTURE PRESIDENT. WHAT'S WRONG WITH BOTH OF THEM IS THAT THEY'RE SO SURE THEY'RE RIGHT! THAT'S PRETTY SCARY - THE FUTURE, I THINK, IS PRETTY SCARY.
John Irving (A Prayer for Owen Meany)
For thirty years and more,” he said to the slack featured Vatia and Appius Claudius, “I have denied my nature. I have denied myself love and pleasure at first for the sake of my name and my ambition, and later when these had run their course for the sake of Rome. But it is over. Over, over, over! I hereby give Rome back to you to all you little, cocksure, maggot minded men! You are at liberty once more to vent your spleen on your poor country to elect the wrong men, to spend the public moneys foolishly, to think not beyond tomorrow and your own gigantic selves. In the thirty years of one generation I predict that you and those who succeed you will bring ruin beyond redemption upon Rome’s undeserving head!
Colleen McCullough (Fortune's Favorites (Masters of Rome, #3))
Bliss?” I called. “Yeah?” “Check the drawers of the nightstand! She was playing with it in the middle of the night, and I think I remember taking it away and sticking it in there.” “Okay!” Through the open door, I watched her circle around the edge of the bed. I walked in place for a few seconds, letting my feet drop a little heavier than necessary, then opened and closed the door like I’d gone back inside the bathroom. Then I hid in the space between the back of the bedroom door and the wall where I could just see through the crack between the hinges. She pulled open the top drawer, and my heartbeat was like a bass drum. I don’t know when it had started beating so hard, but now it was all that I could hear. It wasn’t like I was asking her to marry me now. I just knew Bliss, and knew she tended to panic. I was giving her a very big, very obvious hint so that she’d have time to adjust before I actually asked her. Then in a few months, when I thought she’d gotten used to the idea, I’d ask her for real. That was the plan anyway. It was supposed to be simple, but this felt… complicated. Suddenly, I thought of all the thousands of ways this could go wrong. What if she freaked out? What if she ran like she did our first night together? If she ran, would she go back to Texas? Or would she go to Cade who lived in North Philly? He’d let her stay until she figured things out, and then what if something developed between them? What if she just flat out told me no? Everything was good right now. Perfect, actually. What if I was ruining it by pulling this stunt? I was so caught up in my doomsday predictions that I didn’t even see the moment that she found the box. I heard her open it though, and I heard her exhale and say, “Oh my God.” Where before my mouth had been dry, now I couldn’t swallow fast enough. My hands were shaking against the door. She was just standing there with her back to me. I couldn’t see her face. All I could see was her tense, straight spine. She swayed slightly. What if she passed out? What if I’d scared her so much that she actually lost consciousness? I started to think of ways to explain it away. I was keeping it for a friend? It was a prop for a show? It was… It was… shit, I didn’t know. I could just apologize. Tell her I knew it was too fast. I waited for her to do something—scream, run, cry, faint. Anything would be better than her stillness. I should have just been honest with her. I wasn’t good at things like this. I said what I was thinking—no plans, no manipulation. Finally, when I thought my body would crumble under the stress alone, she turned. She faced the bed, and I only got her profile, but she was biting her lip. What did that mean? Was she just thinking? Thinking of a way to get out of it? Then, slowly, like the sunrise peeking over the horizon, she smiled. She snapped the box closed. She didn’t scream. She didn’t run. She didn’t faint. There might have been a little crying. But mostly… she danced. She swayed and jumped and smiled the same way she had when the cast list was posted for Phaedra. She lost herself the same way she did after opening night, right before we made love for the first time. Maybe I didn’t have to wait a few months after all. She said she wanted my best line tomorrow after the show, and now I knew what it was going to be.
Cora Carmack (Losing It (Losing It, #1))
But look what happens next. From 2060, each generation of 2 billion people will be replaced by another generation of 2 billion people. The fast growth stops. The large increase in population is going to happen not because there are more children. And not, in the main, because old folks are living longer. In fact the UN experts do predict that by 2100, world life expectancy will have increased by roughly 11 years, adding 1 billion old people to the total and taking it to around 11 billion. The large increase in population will happen mainly because the children who already exist today are going to grow up and “fill up” the diagram with 3 billion more adults. This “fill-up effect” takes three generations, and then it is done.
Hans Rosling (Factfulness: Ten Reasons We're Wrong About The World - And Why Things Are Better Than You Think)
Never believe it, Hal. Never believe your own lies. Because superstition was a trap—that was what she had learned, in the years of plying her trade on the pier. Touching wood, crossing fingers, counting magpies—they were lies, all of them. False promises, designed to give the illusion of control and meaning in a world in which the only destiny came from yourself. You can’t predict the future, Hal, her mother had reminded her, time and time again. You can’t influence fate, or change what’s out of your control. But you can choose what you yourself do with the cards you’re dealt. That was the truth, Hal knew. The painful, uncompromising truth. It was what she wanted to shout at clients, at the ones who came back again and again looking for answers that she could not give. There is no higher meaning. Sometimes things happen for no reason. Fate is cruel, and arbitrary. Touching wood, lucky charms, none of it will help you see the car you never saw coming, or avoid the tumor you didn’t realize you had. Quite the opposite, in fact. For in that moment that you turn your head to look for the second magpie, in the hope of changing your fortune from sorrow to joy—that’s when you take your attention away from the things you can change, the crossing light, the speeding car, the moment you should have turned back. The people who came to her booth were seeking meaning and control—but they were looking in the wrong place. When they gave themselves over to superstition, they were giving up on shaping their own destiny.
Ruth Ware (The Death of Mrs. Westaway)
For four decades, since my time as a graduate student, I have been preoccupied by these kinds of stories about the myriad ways in which people depart from the fictional creatures that populate economic models. It has never been my point to say that there is something wrong with people; we are all just human beings—homo sapiens. Rather, the problem is with the model being used by economists, a model that replaces homo sapiens with a fictional creature called homo economicus, which I like to call an Econ for short. Compared to this fictional world of Econs, Humans do a lot of misbehaving, and that means that economic models make a lot of bad predictions, predictions that can have much more serious consequences than upsetting a group of students. Virtually no economists saw the financial crisis of 2007–08 coming,* and worse, many thought that both the crash and its aftermath were things that simply could not happen.
Richard H. Thaler (Misbehaving: The Making of Behavioural Economics)
The ten instincts and cognitive psychology. Our thinking on the ten instincts was influenced by the work of a number of brilliant cognitive scientists. Some of the books that completely changed our thinking about the mind and about how we should teach facts about the world are: Dan Ariely, Predictably Irrational (2008), The Upside of Irrationality (2010), and The Honest Truth About Dishonesty (2012); Steven Pinker, How the Mind Works (1997), The Stuff of Thought (2007), The Blank Slate (2002), and The Better Angels of Our Nature (2011); Carol Tavris and Elliot Aronson, Mistakes Were Made (But Not by Me) (2007); Daniel Kahneman, Thinking, Fast and Slow (2011); Walter Mischel, The Marshmallow Test (2014); Philip E. Tetlock and Dan Gardner, Superforecasting (2015); Jonathan Gottschall, The Storytelling Animal (2012); Jonathan Haidt, The Happiness Hypothesis (2006) and The Righteous Mind (2012); and Thomas Gilovich, How We Know What Isn’t So (1991).
Hans Rosling (Factfulness: Ten Reasons We're Wrong About the World—and Why Things Are Better Than You Think)
However, questions arise. Are there people who aren't naive realists, or special situations in which naive realism disappears? My theory—the self-model theory of subjectivity—predicts that as soon as a conscious representation becomes opaque (that is, as soon as we experience it as a representation), we lose naive realism. Consciousness without naive realism does exist. This happens whenever, with the help of other, second-order representations, we become aware of the construction process—of all the ambiguities and dynamical stages preceding the stable state that emerges at the end. When the window is dirty or cracked, we immediately realize that conscious perception is only an interface, and we become aware of the medium itself. We doubt that our sensory organs are working properly. We doubt the existence of whatever it is we are seeing or feeling, and we realize that the medium itself is fallible. In short, if the book in your hands lost its transparency, you would experience it as a state of your mind rather than as an element of the outside world. You would immediately doubt its independent existence. It would be more like a book-thought than a book-perception. Precisely this happens in various situations—for example, In visual hallucinations during which the patient is aware of hallucinating, or in ordinary optical illusions when we suddenly become aware that we are not in immediate contact with reality. Normally, such experiences make us think something is wrong with our eyes. If you could consciously experience earlier processing stages of the representation of the book In your hands, the image would probably become unstable and ambiguous; it would start to breathe and move slightly. Its surface would become iridescent, shining in different colors at the same time. Immediately you would ask yourself whether this could be a dream, whether there was something wrong with your eyes, whether someone had mixed a potent hallucinogen into your drink. A segment of the wall of the Ego Tunnel would have lost its transparency, and the self-constructed nature of the overall flow of experience would dawn on you. In a nonconceptual and entirely nontheoretical way, you would suddenly gain a deeper understanding of the fact that this world, at this very moment, only appears to you.
Thomas Metzinger (The Ego Tunnel: The Science of the Mind and the Myth of the Self)
You see the impact of humans on Earth’s environment every day. We are trashing the place: There is plastic along our highways, the smell of a landfill, the carbonic acid (formed when carbon dioxide is dissolved in water) bleaching of coral reefs, the desertification of enormous areas of China and Africa (readily seen in satellite images), and a huge patch of plastic garbage in the Pacific Ocean. All of these are direct evidence of our effect on our world. We are killing off species at the rate of about one per day. It is estimated that humans are driving species to extinction at least a thousand times faster than the otherwise natural rate. Many people naïvely (and some, perhaps, deceptively) argue that loss of species is not that important. After all, we can see in the fossil record that about 99 percent of all the different kinds of living things that have ever lived here are gone forever, and we’re doing just fine today. What’s the big deal if we, as part of the ecosystem, kill off a great many more species of living things? We’ll just kill what we don’t need or notice. The problem with that idea is that although we can, in a sense, know what will become or what became of an individual species, we cannot be sure of what will happen to that species’ native ecosystem. We cannot predict the behavior of the whole, complex, connected system. We cannot know what will go wrong or right. However, we can be absolutely certain that by reducing or destroying biodiversity, our world will be less able to adapt. Our farms will be less productive, our water less clean, and our landscape more barren. We will have fewer genetic resources to draw on for medicines, for industrial processes, for future crops. Biodiversity is a result of the process of evolution, and it is also a safety net that helps keep that process going. In order to pass our own genes into the future and enable our offspring to live long and prosper, we must reverse the current trend and preserve as much biodiversity as possible. If we don’t, we will sooner or later join the fossil record of extinction.
Bill Nye (Undeniable: Evolution and the Science of Creation)
Never believe it, Hal. Never believe your own lies. Because superstition was a trap—that was what she had learned, in the years of plying her trade on the pier. Touching wood, crossing fingers, counting magpies—they were lies, all of them. False promises, designed to give the illusion of control and meaning in a world in which the only destiny came from yourself. You can’t predict the future, Hal, her mother had reminded her, time and time again. You can’t influence fate, or change what’s out of your control. But you can choose what you yourself do with the cards you’re dealt. That was the truth, Hal knew. The painful, uncompromising truth. It was what she wanted to shout at clients, at the ones who came back again and again looking for answers that she could not give. There is no higher meaning. Sometimes things happen for no reason. Fate is cruel, and arbitrary. Touching wood, lucky charms, none of it will help you see the car you never saw coming, or avoid the tumor you didn’t realize you had. Quite the opposite, in fact. For in that moment that you turn your head to look for the second magpie, in the hope of changing your fortune from sorrow to joy—that’s when you take your attention away from the things you can change, the crossing light, the speeding car, the moment you should have turned back. The people who came to her booth were seeking meaning and control—but they were looking in the wrong place. When they
Ruth Ware (The Death of Mrs. Westaway)
Suppose someone says, “Unfortunately, the popularity of soccer, the world’s favorite pastime, is starting to decline.” You suspect he is wrong. How do you question the claim? Don’t even think of taking a personal shot like “You’re silly.” That only adds heat, not light. “I don’t think so” only expresses disagreement without delving into why you disagree. “What do you mean?” lowers the emotional temperature with a question but it’s much too vague. Zero in. You might say, “What do you mean by ‘pastime’?” or “What evidence is there that soccer’s popularity is declining? Over what time frame?” The answers to these precise questions won’t settle the matter, but they will reveal the thinking behind the conclusion so it can be probed and tested. Since Socrates, good teachers have practiced precision questioning, but still it’s often not used when it’s needed most. Imagine how events might have gone if the Kennedy team had engaged in precision questioning when planning the Bay of Pigs invasion: “So what happens if they’re attacked and the plan falls apart?” “They retreat into the Escambray Mountains, where they can meet up with other anti-Castro forces and plan guerrilla operations.” “How far is it from the proposed landing site in the Bay of Pigs to the Escambray Mountains?” “Eighty miles.” “And what’s the terrain?” “Mostly swamp and jungle.” “So the guerrillas have been attacked. The plan has fallen apart. They don’t have helicopters or tanks. But they have to cross eighty miles of swamp and jungle before they can begin to look for shelter in the mountains? Is that correct?” I suspect that this conversation would not have concluded “sounds good!” Questioning like that didn’t happen, so Kennedy’s first major decision as president was a fiasco. The lesson was learned, resulting in the robust but respectful debates of the Cuban missile crisis—which exemplified the spirit we encouraged among our forecasters.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
Think about it, Nick, we know each other. Better than anyone in the world now.’ It was true that I’d had this feeling too, in the past month, when I wasn’t wishing Amy harm. It would come to me at strange moments – in the middle of the night, up to take a piss, or in the morning pouring a bowl of cereal – I’d detect a nib of admiration, and more than that, fondness for my wife, right in the middle of me, right in the gut. To know exactly what I wanted to hear in those notes, to woo me back to her, even to predict all my wrong moves ... the woman knew me cold. Better than anyone in the world, she knew me. All this time I’d thought we were strangers, and it turned out we knew each other intuitively, in our bones, in our blood. It was kind of romantic. Catastrophically romantic.
Gillian Flynn (Gone Girl)
Like everyone else, scientists have intuitions. Indeed, hunches and flashes of insight—the sense that something is true even if you can’t prove it—have been behind countless breakthroughs. The interplay between System 1 and System 2 can be subtle and creative. But scientists are trained to be cautious. They know that no matter how tempting it is to anoint a pet hypothesis as The Truth, alternative explanations must get a hearing. And they must seriously consider the possibility that their initial hunch is wrong. In fact, in science, the best evidence that a hypothesis is true is often an experiment designed to prove the hypothesis is false, but which fails to do so. Scientists must be able to answer the question “What would convince me I am wrong?” If they can’t, it’s a sign they have grown too attached to their beliefs.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
I wish I could do to you what you did to me, he wished. But it can’t be done to an android because they don’t care. If I had killed you last night, my goat would be alive now. There’s where I made the wrong decision. Yes, he thought; it can all be traced back to that and to my going to bed with you. Anyhow, you were correct about one thing; it did change me. But not in the way you predicted. A much worse way, he decided. And yet I don’t really care. Not any longer. Not, he thought, after what happened to me up there, toward the top of the hill. I wonder what would have come next, if I had gone on climbing and reached the top. Because that’s where Mercer appears to die. That’s where Mercer’s triumph manifests itself, there at the end of the great sidereal cycle. But if I’m Mercer, he thought, I can never die, not in ten thousand years. Mercer is immortal.
Philip K. Dick (Do Androids Dream of Electric Sheep?)
My four things I care about are truth, meaning, fitness and grace. [...] Sam [Harris] would like to make an argument that the better and more rational our thinking is, the more it can do everything that religion once did. [...] I think about my personal physics hero, Dirac – who was the guy who came up with the equation for the electron, less well-known than the Einstein equations but arguably even more beautiful...in order to predict that, he needed a positively-charged and a negatively-charged particle, and the only two known at the time were the electron and the proton to make up, let's say, a hydrogen atom. Well, the proton is quite a bit heavier than the electron and so he told the story that wasn't really true, where the proton was the anti-particle of the electron, and Heisenberg pointed out that that couldn't be because the masses are too far off and they have to be equal. Well, a short time later, the anti-electron -- the positron, that is -- was found, I guess by Anderson at Caltech in the early 30s and then an anti-proton was created some time later. So it turned out that the story had more meaning than the exact version of the story...so the story was sort of more true than the version of the story that was originally told. And I could tell you a similar story with Einstein, I could tell it to you with Darwin, who, you know, didn't fully understand the implications of his theory, as is evidenced by his screwing up a particular kind of orchid in his later work...not understanding that his theory completely explained that orchid! So there's all sorts of ways in which we get the...the truth wrong the first several times we try it, but the meaning of the story that we tell somehow remains intact. And I think that that's a very difficult lesson for people who just want to say, 'Look, I want to'...you know, Feynman would say, "If an experiment disagrees with you, then you're wrong' and it's a very appealing story to tell to people – but it's also worth noting that Feynman never got a physical law of nature and it may be that he was too wedded to this kind of rude judgment of the unforgiving. Imagine you were innovating in Brazilian jiu-jitsu. The first few times might not actually work. But if you told yourself the story, 'No, no, no – this is actually genius and it's working; no, you just lost three consecutive bouts' -- well, that may give you the ability to eventually perfect the move, perfect the technique, even though you were lying to yourself during the period in which it was being set up. It's a little bit like the difference between scaffolding and a building. And too often, people who are crazy about truth reject scaffolding, which is an intermediate stage in getting to the final truth.
Eric R. Weinstein
In his final days Bill Bright gave his staff a charge, which ended with these words: “By faith, walk in His light, enjoy His presence, love with His love, and rejoice that you are never alone; He is with you, always to bless!”3 Bill Bright understood that the good life means accepting that our lives ultimately belong to God. He resisted taking sedatives that would have hastened his death. He also talked with Vonette about the importance of yielding to God’s final call. Perhaps as a result of his attitude (and, I have to think, his godliness), his last moments were not the unmitigated horror his doctor had predicted. Right before Bill died, Vonette leaned close and said, “I want you to go to be with Jesus, and Jesus wants you to come to him. Why don’t you let him carry you to heaven?” She looked away, and when she looked back, her husband was no longer breathing. She saw the last pulse in his neck, and with that he was gone. She thought of the psalm “Precious in the sight of the Lord is the death of his saints,” and the prayer of St. Francis of Assisi: “For it is in dying, we are born to eternal life.”4 Living the good life means not only living it to the fullest every moment we’re alive but also facing death with equanimity and then dying well. A lot of people have this wrong. They think that you live life to the fullest and enjoy every moment you can, and then when death comes, you simply accept the hard fact. The good time is over. Life is ended. The good life means accepting that our lives ultimately belong to God.
Charles W. Colson (The Good Life)
The goal of this book is to explain the facts of the past and present, not to augur the hypotheticals of the future. Still, you might ask, isn’t it the essence of science to make falsifiable predictions? Shouldn’t any claim to understanding the past be evaluated by its ability to extrapolate into the future? Oh, all right. I predict that the chance that a major episode of violence will break out in the next decade—a conflict with 100,000 deaths in a year, or a million deaths overall—is 9.7 percent. How did I come up with that number? Well, it’s small enough to capture the intuition “probably not,” but not so small that if such an event did occur I would be shown to be flat-out wrong. My point, of course, is that the concept of scientific prediction is meaningless when it comes to a single event—in this case, the eruption of mass violence in the next decade. It would be another thing if we could watch many worlds unfold and tot up the number in which an event happened or did not, but this is the only world we’ve got.
Steven Pinker (The Better Angels of Our Nature: Why Violence Has Declined)
In courtrooms all across this city, Maya had seen people get verdicts they’d wanted, and she’d seen just as many get ones they didn’t. But the verdicts had nothing to do with truth. No verdict ever changed a person’s opinion. Juries weren’t gods. The people who went into those courtrooms looking for divine revelation came out bearing the fruits of bureaucratic negotiation. Maya wanted to tell Lou that this need for vindication had become the mire of their whole petty country. Every day, they woke up fervently hoping for the headline that would prove, definitively, that their guys were the virtuous ones and the other guys were the absolute worst. But news of that certainty would forever elude them. Every new revelation that seemed to damn the people with whom they disagreed would be followed by a new rationalization. For every failed prediction, there would come a mitigating circumstance. They would double down on their most weakly held convictions because the alternative felt unbearable, and the bums across the aisle would follow suit. She wanted to say that the only thing worse than being wrong was having a bottomless need to prove that you never were. But she didn’t tell Lou any of that. Instead, Maya told Lou what he wanted to hear. She did it because she was the last person on earth who should be instructing Lou Silver on how to live out his days. And she did it because he’d asked her an honest question, and he deserved to hear from her an honest answer. “Mr. Silver,” she said, running her fingers through her hair, “I’m not sure of much of anything anymore.
Graham Moore (The Holdout)
What makes the SAT bad is that it has nothing to do with what kids learn in high school. As a result, it creates a sort of shadow curriculum that furthers the goals of neither educators nor students.… The SAT has been sold as snake oil; it measured intelligence, verified high school GPA, and predicted college grades. In fact, it’s never done the first two at all, nor a particularly good job at the third.” Yet students who don’t test well or who aren’t particularly strong at the kind of reasoning the SAT assesses can find themselves making compromises on their collegiate futures—all because we’ve come to accept that intelligence comes with a number. This notion is pervasive, and it extends well beyond academia. Remember the bell‐shaped curve we discussed earlier? It presents itself every time I ask people how intelligent they think they are because we’ve come to define intelligence far too narrowly. We think we know the answer to the question, “How intelligent are you?” The real answer, though, is that the question itself is the wrong one to ask.
Ken Robinson (The Element - How finding your passion changes everything)
You haven’t gotten to the point of leaving a glass for her, too.” He covered his eyes but said nothing. She pulled away his hands, and then, looking straight at him, asked, “She’s alive, isn’t she?” He nodded and sat up. “Rong, I used to think that a character in a novel was controlled by her creator, that she would be whatever the author wanted her to be, and do whatever the author wanted her to do, like God does for us.” “Wrong!” she said, standing up and beginning to pace the room. “Now you realize you were wrong. This is the difference between an ordinary scribe and a literary writer. The highest level of literary creation is when the characters in a novel possess life in the mind of the writer. The writer is unable to control them, and might not even be able to predict the next action they will take. We can only follow them in wonder to observe and record the minute details of their lives like a voyeur. That’s how a classic is made.” “So literature, it turns out, is a perverted endeavor.” “It was like that for Shakespeare and Balzac and Tolstoy, at least. The classic images they created were born from their mental wombs. But today’s practitioners of literature have lost that creativity. Their minds give birth only to shattered fragments and freaks, whose brief lives are nothing but cryptic spasms devoid of reason. Then they sweep up these fragments into a bag they peddle under the label ‘postmodern’ or ‘deconstructionist’ or ‘symbolism’ or ‘irrational.’” “So you mean that I’ve become a writer of classic literature?” “Hardly. Your mind is only gestating an image, and it’s the easiest one of all. The minds of those classic authors gave birth to hundreds and thousands of figures. They formed the picture of an era, and that’s something that only a superhuman can accomplish. But what you’ve done isn’t easy. I didn’t think you’d be able to do it.” “Have you ever done it?” “Just once,” she said simply, and dropped the subject. She grabbed his neck, and said, “Forget it. I don’t want that birthday present anymore. Come back to a normal life, okay?” “And if all this continues—what then?” She studied him for a few seconds, then let go of him and shook her head with a smile. “I knew it was too late.” Picking up her bag from the bed, she left. Then
Liu Cixin (The Dark Forest (Remembrance of Earth’s Past, #2))
It is well-known that a big percentage of all marriages in the United States end in divorce or separation (about 39 percent, according to the latest data).[30] But staying together is not what really counts. Analysis of the Harvard Study data shows that marriage per se accounts for only 2 percent of subjective well-being later in life.[31] The important thing for health and well-being is relationship satisfaction. Popular culture would have you believe the secret to this satisfaction is romantic passion, but that is wrong. On the contrary, a lot of unhappiness can attend the early stages of romance. For example, researchers find that it is often accompanied by rumination, jealousy, and “surveillance behaviors”—not what we typically associate with happiness. Furthermore, “destiny beliefs” about soul mates or love being meant to be can predict low forgiveness when paired with attachment anxiety.[32] Romance often hijacks our brains in a way that can cause the highs of elation or the depths of despair.[33] You might accurately say that falling in love is the start-up cost for happiness—an exhilarating but stressful stage we have to endure to get to the relationships that actually fulfill us. The secret to happiness isn’t falling in love; it’s staying in love, which depends on what psychologists call “companionate love”—love based less on passionate highs and lows and more on stable affection, mutual understanding, and commitment.[34] You might think “companionate love” sounds a little, well, disappointing. I certainly did the first time I heard it, on the heels of great efforts to win my future wife’s love. But over the past thirty years, it turns out that we don’t just love each other; we like each other, too. Once and always my romantic love, she is also my best friend.
Arthur C. Brooks (From Strength to Strength: Finding Success, Happiness, and Deep Purpose in the Second Half of Life)
Let us return to the distinction between Thalesian and Aristotelian for a minute and look at evolution from the following point of view. The frequency, i.e., how often someone is right is largely irrelevant in the real world, but alas, one needs to be a practitioner, not a talker, to figure it out. On paper, the frequency of being right matters, but only on paper—typically, fragile payoffs have little (sometimes no) upside, and antifragile payoffs have little downside. This means that one makes pennies to lose dollars in the fragile case; makes dollars to lose pennies in the antifragile one. So the antifragile can lose for a long time with impunity, so long as he happens to be right once; for the fragile, a single loss can be terminal. Accordingly if you were betting on the downfall of, say, a portfolio of financial institutions because of their fragilities, it would have cost you pennies over the years preceding their eventual demise in 2008, as Nero and Tony did. (Note again that taking the other side of fragility makes you antifragile.) You were wrong for years, right for a moment, losing small, winning big, so vastly more successful than the other way (actually the other way would be bust). So you would have made the Thekels like Thales because betting against the fragile is antifragile. But someone who had merely “predicted” the event with just words would have been called by the journalists “wrong for years,” “wrong most of the time,” etc. Should we keep tally of opinion makers’ “right” and “wrong,” the proportion does not matter, as we need to include consequences. And given that this is impossible, we are now in a quandary. Look at it again, the way we looked at entrepreneurs. They are usually wrong and make “mistakes”—plenty of mistakes. They are convex. So what counts is the payoff from success.
Nassim Nicholas Taleb (Antifragile: Things that Gain from Disorder)
Even in Chicago, Shweder found relatively little evidence of social-conventional thinking. There were plenty of stories that contained no obvious harm or injustice, such as a widow eating fish, and Americans predictably said that those cases were fine. But more important, they didn’t see these behaviors as social conventions that could be changed by popular consent. They believed that widows should be able to eat whatever they darn well please, and if there’s some other country where people try to limit widows’ freedoms, well, they’re wrong to do so. Even in the United States the social order is a moral order, but it’s an individualistic order built up around the protection of individuals and their freedom. The distinction between morals and mere conventions is not a tool that children everywhere use to self-construct their moral knowledge. Rather, the distinction turns out to be a cultural artifact, a necessary by-product of the individualistic answer to the question of how individuals and groups relate. When you put individuals first, before society, then any rule or social practice that limits personal freedom can be questioned. If it doesn’t protect somebody from harm, then it can’t be morally justified. It’s just a social convention.
Jonathan Haidt (The Righteous Mind: Why Good People are Divided by Politics and Religion)
As the third evening approached, Gabriel looked up blearily as two people entered the room. His parents. The sight of them infused him with relief. At the same time, their presence unlatched all the wretched emotion he'd kept battened down until this moment. Disciplining his breathing, he stood awkwardly, his limbs stiff from spending hours on the hard chair. His father came to him first, pulling him close for a crushing hug and ruffling his hair before going to the bedside. His mother was next, embracing him with her familiar tenderness and strength. She was the one he'd always gone to first whenever he'd done something wrong, knowing she would never condemn or criticize, even when he deserved it. She was a source of endless kindness, the one to whom he could entrust his worst thoughts and fears. "I promised nothing would ever harm her," Gabriel said against her hair, his voice cracking. Evie's gentle hands patted his back. "I took my eyes off her when I shouldn't have," he went on. "Mrs. Black approached her after the play- I pulled the bitch aside, and I was too distracted to notice-" He stopped talking and cleared his throat harshly, trying not to choke on emotion. Evie waited until he calmed himself before saying quietly, "You remember when I told you about the time your f-father was badly injured because of me?" "That wasn't because of you," Sebastian said irritably from the bedside. "Evie, have you harbored that absurd idea for all these years?" "It's the most terrible feeling in the world," Evie murmured to Gabriel. "But it's not your fault, and trying not to make it so won't help either of you. Dearest boy, are you listening to me?" Keeping his face pressed against her hair, Gabriel shook his head. "Pandora won't blame you for what happened," Evie told him, "any more than your father blamed me." "Neither of you are to blame for anything," his father said, "except for annoying me with this nonsense. Obviously the only person to blame for this poor girl's injury is the woman who attempted to skewer her like a pinioned duck." He straightened the covers over Pandora, bent to kiss her forehead gently, and sat in the bedside chair. "My son... guilt, in proper measure, can be a useful emotion. However, when indulged to excess it becomes self-defeating, and even worse, tedious." Stretching out his long legs, he crossed them negligently. "There's no reason to tear yourself to pieces worrying about Pandora. She's going to make a full recovery." "You're a doctor now?" Gabriel asked sardonically, although some of the weight of grief and worry lifted at his father's confident pronouncement. "I daresay I've seen enough illness and injuries in my time, stabbings included, to predict the outcome accurately. Besides, I know the spirit of this girl. She'll recover." "I agree," Evie said firmly. Letting out a shuddering sigh, Gabriel tightened his arms around her. After a long moment, he heard his mother say ruefully, "Sometimes I miss the days when I could solve any of my children's problems with a nap and a biscuit." "A nap and a biscuit wouldn't hurt this one at the moment," Sebastian commented dryly. "Gabriel, go find a proper bed and rest for a few hours. We'll watch over your little fox cub.
Lisa Kleypas (Devil in Spring (The Ravenels, #3))
Marx believed that as wealth becomes more concentrated, poverty will become more widespread and the plight of working people evermore desperate. According to his critics, this prediction has proven wrong. They point out that he wrote during a time of raw industrialism, an era of robber barons and the fourteen-hour work day. Through persistent struggle, the working class improved its life conditions from the mid-nineteenth to the mid-twentieth centuries. Today, mainstream spokespersons portray the United States as a prosperous middle-class society. Yet one might wonder. During the Reagan-Bush-Clinton era, from 1981 to 1996, the share of the national income that went to those who work for a living shrank by over 12 percent. The share that went to those who live off investments increased almost 35 percent. Less than 1 percent of the population owns almost 50 percent of the nation’s wealth. The richest families are hundreds of times wealthier than the average household in the lower 90 percent of the population. The gap between America’s rich and poor is greater than it has been in more than half a century and is getting ever-greater. Thus, between 1977 and 1989, the top 1 percent saw their earnings grow by over 100 percent, while the three lowest quintiles averaged a 3 to 10 percent drop in real income.
Michael Parenti (Blackshirts and Reds: Rational Fascism and the Overthrow of Communism)
Entering the office, Evie found Sebastian and Cam on opposite sides of the desk. They both mulled over account ledgers, scratching out some entries with freshly inked pens, and making notations beside the long columns. Both men looked up as she crossed the threshold. Evie met Sebastian’s gaze only briefly; she found it hard to maintain her composure around him after the intimacy of the previous night. He paused in mid-sentence as he stared at her, seeming to forget what he had been saying to Cam. It seemed that neither of them was yet comfortable with feelings that were still too new and powerful. Murmuring good morning to them both, she bid them to remain seated, and she went to stand beside Sebastian’s chair. “Have you breakfasted yet, my lord?” she asked. Sebastian shook his head, a smile glinting in his eyes. “Not yet.” “I’ll go to the kitchen and see what is to be had.” “Stay a moment,” he urged. “We’re almost finished.” As the two men discussed a few last points of business, which pertained to a potential investment in a proposed shopping bazaar to be constructed on St. James Street, Sebastian picked up Evie’s hand, which was resting on the desk. Absently he drew the backs of her fingers against the edge of his jaw and his ear while contemplating the written proposal on the desk before him. Although Sebastian was not aware of what the casual familiarity of the gesture revealed, Evie felt her color rise as she met Cam’s gaze over her husband’s downbent head. The boy sent her a glance of mock reproof, like that of a nursemaid who had caught two children playing a kissing game, and he grinned as her blush heightened further. Oblivious to the byplay, Sebastian handed the proposal to Cam, who sobered instantly. “I don’t like the looks of this,” Sebastian commented. “It’s doubtful there will be enough business in the area to sustain an entire bazaar, especially at those rents. I suspect within a year it will turn into a white elephant.” “White elephant?” Evie asked. A new voice came from the doorway, belonging to Lord Westcliff. “A white elephant is a rare animal,” the earl replied, smiling, “that is not only expensive but difficult to maintain. Historically, when an ancient king wished to ruin someone he would gift him with a white elephant.” Stepping into the office, Westcliff bowed over Evie’s hand and spoke to Sebastian. “Your assessment of the proposed bazaar is correct, in my opinion. I was approached with the same investment opportunity not long ago, and I rejected it on the same grounds.” “No doubt we’ll both be proven wrong,” Sebastian said wryly. “One should never try to predict anything regarding women and their shopping.
Lisa Kleypas (Devil in Winter (Wallflowers, #3))
It was hard to ask someone like Zara about that sort of thing directly, so the psychologist asked instead: “Why do you like your job?” “Because I’m an analyst. Most people who do the same job as me are economists,” Zara replied immediately. “What’s the difference?” “Economists only approach problems head-on. That’s why economists never predict stock market crashes.” “And you’re saying that analysts do?” “Analysts expect crashes. Economists only earn money when things go well for the bank’s customers, whereas analysts earn money all the time.” “Does that make you feel guilty?” the psychologist asked, mostly to see if Zara thought that word was a feeling or something to do with gold plating. “Is it the croupier’s fault if you lose your money at the casino?” Zara asked. “I’m not sure that’s a fair comparison.” “Why not?” “Because you use words like ‘stock market crash,’ but it’s never the stock market or the banks that crash. Only people do that.” “There’s a very logical explanation for why you think that.” “Really?” “It’s because you think the world owes you something. It doesn’t.” “You still haven’t answered my question. I asked why you like your job. All you’ve done is tell me why you’re good at it.” “Only weak people like their jobs.” “I don’t think that’s true.” “That’s because you like your job.” “You say that as if there’s something wrong with that.
Fredrik Backman (Anxious People)
Appendix 1 Seven Points and Fifty-Nine Slogans for Generating Compassion and Resilience POINT ONE Resolve to Begin 1. Train in the preliminaries. POINT TWO Train in Empathy and Compassion: Absolute Compassion 2. See everything as a dream. 3. Examine the nature of awareness. 4. Don’t get stuck on peace. 5. Rest in the openness of mind. 6. In Postmeditation be a child of illusion. POINT TWO Train in Empathy and Compassion: Relative Compassion 7. Practice sending and receiving alternately on the breath. 8. Begin sending and receiving practice with yourself. 9. Turn things around (Three objects, three poisons, three virtues). 10. Always train with the slogans. POINT THREE Transform Bad Circumstances into the Path 11. Turn all mishaps into the path. 12. Drive all blames into one. 13. Be grateful to everyone. 14. See confusion as Buddha and practice emptiness. 15. Do good, avoid evil, appreciate your lunacy, pray for help. 16. Whatever you meet is the path. POINT FOUR Make Practice Your Whole Life 17. Cultivate a serious attitude (Practice the five strengths). 18. Practice for death as well as for life. POINT FIVE Assess and Extend 19. There’s only one point. 20. Trust your own eyes. 21. Maintain joy (and don’t lose your sense of humor). 22. Practice when you’re distracted. POINT SIX The Discipline of Relationship 23. Come back to basics. 24. Don’t be a phony. 25. Don’t talk about faults. 26. Don’t figure others out. 27. Work with your biggest problems first. 28. Abandon hope. 29. Don’t poison yourself. 30. Don’t be so predictable. 31. Don’t malign others. 32. Don’t wait in ambush. 33. Don’t make everything so painful. 34. Don’t unload on everyone. 35. Don’t go so fast. 36. Don’t be tricky. 37. Don’t make gods into demons. 38. Don’t rejoice at others’ pain. POINT SEVEN Living with Ease in a Crazy World 39. Keep a single intention. 40. Correct all wrongs with one intention. 41. Begin at the beginning, end at the end. 42. Be patient either way. 43. Observe, even if it costs you everything. 44. Train in three difficulties. 45. Take on the three causes. 46. Don’t lose track. 47. Keep the three inseparable. 48. Train wholeheartedly, openly, and constantly. 49. Stay close to your resentment. 50. Don’t be swayed by circumstances. 51. This time get it right! 52. Don’t misinterpret. 53. Don’t vacillate. 54. Be wholehearted. 55. Examine and analyze. 56. Don’t wallow. 57. Don’t be jealous. 58. Don’t be frivolous. 59. Don’t expect applause.
Norman Fischer (Training in Compassion: Zen Teachings on the Practice of Lojong)
THE 12 COMMANDMENTS OF BOSSES’ DIRTY WORK How to Implement Tough Decisions in Effective and Humane Ways Do not delay painful decisions and actions; hoping the problem will go away or that someone else will do your dirty work rarely is an effective path. Assume that you are clueless, or at least have only a dim understanding, of how people judge you and the dirty work that you do. Implement tough decisions as well as you can – even if they strike you as wrong or misguided. Or get out of the way and let someone else do it. Do everything possible to communicate to all who will be affected how distressing events will unfold, so they can predict when bad things will (and will not) happen to them. Explain early and often why the dirty work is necessary. Look for ways to give employees influence over how painful changes happen to them, even when it is impossible to change what will happen to them. Never humiliate, belittle, or bad-mouth people who are the targets of your dirty work. Ask yourself and fellow bosses to seriously consider if the dirty work is really necessary before implementing it. Just because all your competitors do it, or you have always done it in the past, does not mean it is wise right now. Do not bullshit or lie to employees, as doing so can destroy their loyalty and confidence, along with your reputation. Keep your big mouth shut. Divulging sensitive or confidential information can harm employees, your organization, and you, too. Refrain from doing mean-spirited things to exact personal revenge against employees who resist or object to your dirty work. Do not attempt dirty work if you lack the power to do it right, no matter how necessary it may seem.
Robert I. Sutton (Good Boss, Bad Boss: How to Be the Best... and Learn from the Worst)
In the same movie, Emperor Joseph II offers Mozart some musical advice: "Your work is ingenious. It's quality work. And there are simply too many notes, that's all. Just cut a few and it will be perfect." The emperor was put off by the surface complexity of Mozart's music. He didn't see that each note served a purpose-to make a promise or fulfill one, to complete a pattern or vary one. Similarly, at first encounter people are sometimes put off by the superficial complexity of fundamental physics. Too many gluons! But each of the eight color gluons is there for a purpose. Together, they fulfill complete symmetry among the color charges. Take one gluon away, or change its properties, and the structure would fall. Specifically, if you make such a change, then the theory formerly known as QCD begins to predict gibberish; some particles are produced with negative probabilities, and others with probability greater than 1. Such a perfectly rigid theory, one that doesn't allow consistent modification, is extremely vulnerable. If any of its predictions are wrong, there's nowhere to hide. No fudge factors or tweaks are available. On the other hand, a perfectly rigid theory, once it shows significant success, becomes very powerful indeed. Because if it's approximately right and can't be changed, then it must be exactly right! Salieri's criteria explain why symmetry is such an appealing principle for theory building. Systems with symmetry are well on the path to Salieri's perfection. The equations governing different objects and different situations must be strictly related, or the symmetry is diminished. With enough violations all pattern is lost, and the symmetry falls. Symmetry helps us make perfect theories. So the crux of the matter is not the number of notes or the number of particles or equations. It is the perfection of the designs they embody. If removing any one would spoil the design, then the number is exactly what it should be. Mozart's answer to the emperor was superb: "Which few did you have in mind, Majesty?
Frank Wilczek (The Lightness of Being: Mass, Ether, and the Unification of Forces)
In the EPJ results, there were two statistically distinguishable groups of experts. The first failed to do better than random guessing, and in their longer-range forecasts even managed to lose to the chimp. The second group beat the chimp, though not by a wide margin, and they still had plenty of reason to be humble. Indeed, they only barely beat simple algorithms like “always predict no change” or “predict the recent rate of change.” Still, however modest their foresight was, they had some. So why did one group do better than the other? It wasn’t whether they had PhDs or access to classified information. Nor was it what they thought—whether they were liberals or conservatives, optimists or pessimists. The critical factor was how they thought. One group tended to organize their thinking around Big Ideas, although they didn’t agree on which Big Ideas were true or false. Some were environmental doomsters (“We’re running out of everything”); others were cornucopian boomsters (“We can find cost-effective substitutes for everything”). Some were socialists (who favored state control of the commanding heights of the economy); others were free-market fundamentalists (who wanted to minimize regulation). As ideologically diverse as they were, they were united by the fact that their thinking was so ideological. They sought to squeeze complex problems into the preferred cause-effect templates and treated what did not fit as irrelevant distractions. Allergic to wishy-washy answers, they kept pushing their analyses to the limit (and then some), using terms like “furthermore” and “moreover” while piling up reasons why they were right and others wrong. As a result, they were unusually confident and likelier to declare things “impossible” or “certain.” Committed to their conclusions, they were reluctant to change their minds even when their predictions clearly failed. They would tell us, “Just wait.” The other group consisted of more pragmatic experts who drew on many analytical tools, with the choice of tool hinging on the particular problem they faced. These experts gathered as much information from as many sources as they could. When thinking, they often shifted mental gears, sprinkling their speech with transition markers such as “however,” “but,” “although,” and “on the other hand.” They talked about possibilities and probabilities, not certainties. And while no one likes to say “I was wrong,” these experts more readily admitted it and changed their minds. Decades ago, the philosopher Isaiah Berlin wrote a much-acclaimed but rarely read essay that compared the styles of thinking of great authors through the ages. To organize his observations, he drew on a scrap of 2,500-year-old Greek poetry attributed to the warrior-poet Archilochus: “The fox knows many things but the hedgehog knows one big thing.” No one will ever know whether Archilochus was on the side of the fox or the hedgehog but Berlin favored foxes. I felt no need to take sides. I just liked the metaphor because it captured something deep in my data. I dubbed the Big Idea experts “hedgehogs” and the more eclectic experts “foxes.” Foxes beat hedgehogs. And the foxes didn’t just win by acting like chickens, playing it safe with 60% and 70% forecasts where hedgehogs boldly went with 90% and 100%. Foxes beat hedgehogs on both calibration and resolution. Foxes had real foresight. Hedgehogs didn’t.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)