Forecast Quotes

We've searched our database for all the quotes and captions related to Forecast. Here they are! All 100 of them:

Weather forecast for tonight: dark. Continued dark overnight, with widely scattered light by morning.
George Carlin
The only function of economic forecasting is to make astrology look respectable.
John Kenneth Galbraith
I cannot forecast to you the action of Russia. It is a riddle wrapped in a mystery inside an enigma. But perhaps there is a key. That key is Russian national interest.
Winston S. Churchill (The Gathering Storm (The Second World War, #1))
Despite the forecast, live like it's spring.
Lilly Pulitzer
Declare the past, diagnose the present, foretell the future.
Hippocrates
Forecasts may tell you a great deal about the forecaster; they tell you nothing about the future.
Warren Buffett
Blake shook his head and smiled as the attorney general of the United States closed the door. As usual, the forecast called for a wonderful day at the United States Department of Justice. Unfortunately, the daily forecast would soon change, as would the life of Blake Hudson.
Chad Boudreaux (Scavenger Hunt)
Never ask anyone for their opinion, forecast, or recommendation. Just ask them what they have—or don’t have—in their portfolio.
Nassim Nicholas Taleb (Antifragile: Things that Gain from Disorder)
There are two kinds of forecasters: those who don’t know, and those who don’t know they don’t know.
John Kenneth Galbraith
I'm pretty sure Jo couldn't talk about the weather without somehow including a threat. Forecast today: cloudy with a chance I'll kick your ass.
Eliza Crewe (Cracked (Soul Eaters, #1))
One cannot divine nor forecast the conditions that will make happiness; one only stumbles upon them by chance, in a lucky hour, at the world's end somewhere, and hold fast to the days...
Willa Cather
Science is the key to our future, and if you don’t believe in science, then you’re holding everybody back. And it’s fine if you as an adult want to run around pretending or claiming that you don’t believe in evolution, but if we educate a generation of people who don’t believe in science, that’s a recipe for disaster. We talk about the Internet. That comes from science. Weather forecasting. That comes from science. The main idea in all of biology is evolution. To not teach it to our young people is wrong.
Bill Nye
Weather forecast for tonight: dark.
George Carlin
    The weapon gave a rusty croak. ‘I don’t normally do weather reports anymore,’ the gun informed him politely.      ‘Why is that?’      ‘Ever since the demise of the old metropolis, there has been no control of the weather systems. Anyone who would have appreciated a weather forecast perished an awful long time ago. Besides, every time I started to inform my potential victims of the current cloud formations, or wind velocity, or barometric pressure, or potential precipitation, they simply ran away.
A.R. Merrydew (Our Blue Orange)
Revolution can never be forecast; it cannot be foretold; it comes of itself. Revolution is brewing and is bound to flare up.
Vladimir Lenin
There are two kinds of forecasters: those who don’t know, and those who don’t know they don’t know,
Rolf Dobelli (The Art of Thinking Clearly: The Secrets of Perfect Decision-Making)
Some people in life, Sue, are weather forecasters, whereas other people are the weather itself.
Richard Osman (The Man Who Died Twice (A Thursday Murder Club Mystery))
Why is the forecast so bland? Why instead of 'stormy' don't they just say the sea's 'a frothing maelstrom of terror and hopelessness'?
Jeremy Clarkson (For Crying Out Loud! (World According to Clarkson, #3))
To be the other woman is to be a season that is always about to end, when the air is flowered with jasmine and peach, and the weather day after day is flawless, and the forecast is hurricane.
Linda Pastan (The Imperfect Paradise)
Don’t let yourself forget how many doctors have died, furrowing their brows over how many deathbeds. How many astrologers, after pompous forecasts about others’ ends. How many philosophers, after endless disquisitions on death and immortality. How many warriors, after inflicting thousands of casualties themselves. How many tyrants, after abusing the power of life and death atrociously, as if they were themselves immortal. How many whole cities have met their end: Helike, Pompeii, Herculaneum, and countless others. And all the ones you know yourself, one after another. One who laid out another for burial, and was buried himself, and then the man who buried him - all in the same short space of time. In short, know this: Human lives are brief and trivial. Yesterday a blob of semen; tomorrow embalming fluid, ash. To pass through this brief life as nature demands. To give it up without complaint. Like an olive that ripens and falls. Praising its mother, thanking the tree it grew on.
Marcus Aurelius (Meditations)
Pyscho-history dealt not with man, but with man-masses. It was the science of mobs; mobs in their billions. It could forecast reactions to stimuli with something of the accuracy that a lesser science could bring to the forecast of a rebound of a billiard ball. The reaction of one man could be forecast by no known mathematics; the reaction of a billion is something else again.
Isaac Asimov (Foundation and Empire (Foundation, #2))
All right, kids. We’re going to a party where they don’t like us very much. Everyone know what they’re doing? (Sin) Not a clue, but I think certain death and dismemberment is in my forecast, followed by a light rain of guys and flayed skin. (Kish)
Sherrilyn Kenyon (Devil May Cry (Dark-Hunter, #11))
Value versus Cost Economists tend to focus on cost, and, as economists, we are as guilty of that as anyone. The entire premise of our first book, Prediction Machines, was that AI advances were going to dramatically reduce the cost of prediction, leading to a scale-up of its use. However, while that book suggested that the initial uses of AI would be where prediction was already occurring, either explicitly in, say, forecasting sales or the weather, or implicitly in classifying photos and language, we were mindful that the real opportunity would be the new applications and uses that were enabled when prediction costs fell low enough.
Ajay Agrawal (Power and Prediction: The Disruptive Economics of Artificial Intelligence)
There is no way that we can predict the weather six months ahead beyond giving the seasonal average
Stephen Hawking (Black Holes and Baby Universes and Other Essays)
It follows that they never understood Reginald, who came down late to breakfast, and nibbled toast, and said disrespectful things about the universe. The family ate porridge, and believed in everything, even the weather forecast.
Saki (The Complete Saki)
As those who have seen Jurassic Park will know, this means a tiny disturbance in one place, can cause a major change in another. A butterfly flapping its wings can cause rain in Central Park, New York. The trouble is, it is not repeatable. The next time the butterfly flaps its wings, a host of other things will be different, which will also influence the weather. That is why weather forecasts are so unreliable.
Stephen Hawking
Anger does not make history. Power does. And power may be supplemented by anger, but it derives from more fundamental realities; geography, demographics, technology, and culture.
George Friedman (The Next 100 Years: A Forecast for the 21st Century)
The Lottery, with its weekly pay-out of enormous prizes, was the one public event to which the proles paid serious attention. It was probable that there were some millions of proles for whom the Lottery was the principal if not the only reason for remaining alive. It was their delight, their folly, their anodyne, their intellectual stimulant. Where the Lottery was concerned, even people who could barely read and write seemed capable of intricate calculations and staggering feats of memory. There was a whole tribe of men who made their living simply by selling systems, forecasts, and lucky amulets. Winston had nothing to do with the Lottery, which was managed by the Ministry of Plenty, but he was aware (indeed everyone in the party was aware) that the prizes were largely imaginary. Only small sums were actually paid out, the winners of the big prizes being nonexistent persons.
George Orwell (1984)
If you have to plan for a future beyond the forecasting horizon, plan for surprise. That means, as Danzig advises, planning for adaptability and resilience.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
If you didn't figure it out, you weren't worthy of knowing." She huffs. "I waited six hundred and fifty years to hatch. Waited until your eighteenth summer, when I heard our elders talk of a weakling daughter of their general, the girl forecasted to become the head of the scribes, and I knew. You would have the mind of a scribe and the heart of a rider. You would be mine." She leans into my hand. "You are as unique as I am. We want the same things." "You couldn't have known I would be a rider." "And yet, here we are." A thousand questions go through my head, none of which we have the time for, so I give her exactly what I wanted–to be seen for who and what she is. "You are not a black dragon, or any of the six that we know of. You're a seventh breed." "Yes." Her eyes widen in excitement.
Rebecca Yarros (Iron Flame (The Empyrean, #2))
It was the perfect trip, and as far as Stephen was concerned, the whole weekend was one magical accident. And that's because he is the weather, and I am the weather forecaster. He believes in fate, while I am fate.
Richard Osman (The Man Who Died Twice (Thursday Murder Club, #2))
If you ever do have to heed a forecast, keep in mind that its accuracy degrades rapidly as you extend it through time.
Nassim Nicholas Taleb (The Black Swan: The Impact of the Highly Improbable)
It follows that the goal of forecasting is not to see what’s coming. It is to advance the interests of the forecaster and the forecaster’s tribe.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
Many people object to “wasting money in space” yet have no idea how much is actually spent on space exploration. The CSA’s budget, for instance, is less than the amount Canadians spend on Halloween candy every year, and most of it goes toward things like developing telecommunications satellites and radar systems to provide data for weather and air quality forecasts, environmental monitoring and climate change studies. Similarly, NASA’s budget is not spent in space but right here on Earth, where it’s invested in American businesses and universities, and where it also pays dividends, creating new jobs, new technologies and even whole new industries.
Chris Hadfield (An Astronaut's Guide to Life on Earth)
The old rule of forecasting was to make as many forecasts as possible and publicise the ones you got right. The new rule is to forecast so far in the future, no one will know you got it wrong.
Ruchir Sharma (Breakout Nations: In Pursuit of the Next Economic Miracles)
What else can it predict?” Now the other jocks encircled her like a bullseye. “Any event with data,” Holly said and really felt the need to leave. This was a set-up. Big Bob grinned. “Like when I’ll get a date?” Holly’s smile slid across her face. “Low probability events are hard to forecast.” “Huh?” Josh punched his shoulder. “She means, you are not likely to get a date.
Michael Grigsby (Segment of One)
Music forecasts the past, recalls the future. Now and then the difference falls away, and in one simple gift of circling sound, the ear solves the scrambled cryptogram. One abiding rhythm, present and always, and you're free. But a few measures more, and the cloak of time closes back around you.
Richard Powers (Orfeo)
Weatherman says," Kev scoffed. "I wouldn't trust that silly bugger to know it's raining now.
Ransom Riggs (Miss Peregrine's Home for Peculiar Children (Miss Peregrine's Peculiar Children, #1))
Cork wished there were a forecast for his spirit. He felt the dark and the cold penetrating deep in him. He wondered when there would be warmth again, when there would be light.
William Kent Krueger (Iron Lake (Cork O'Connor, #1))
Music forecasts the past, recalls the future. Now and then the difference falls away, and in one simple gift of circling sound, the ear solves the scrambled cryptogram. One abiding rhythm, present and always, and you’re free.
Richard Powers (Orfeo)
Relationship Time to Aloneness. And I remember about that. Having a companion fixes you in time and that the present, but when the quality of aloneness settles down, past, present, and future all flow together. A memory, a present event, and a forecast all equally present.
John Steinbeck (Travels with Charley: In Search of America)
Centuries ago human knowledge increased slowly, so politics and economics changed at a leisurely pace too. Today our knowledge is increasing at breakneck speed, and theoretically we should understand the world better and better. But the very opposite is happening. Our new-found knowledge leads to faster economic, social and political changes; in an attempt to understand what is happening, we accelerate the accumulation of knowledge, which leads only to faster and greater upheavals. Consequently we are less and less able to make sense of the present or forecast the future. In 1016 it was relatively easy to predict how Europe would look in 1050. Sure, dynasties might fall, unknown raiders might invade, and natural disasters might strike; yet it was clear that in 1050 Europe would still be ruled by kings and priests, that it would be an agricultural society, that most of its inhabitants would be peasants, and that it would continue to suffer greatly from famines, plagues and wars. In contrast, in 2016 we have no idea how Europe will look in 2050. We cannot say what kind of political system it will have, how its job market will be structured, or even what kind of bodies its inhabitants will possess.
Yuval Noah Harari (Homo Deus: ‘An intoxicating brew of science, philosophy and futurism’ Mail on Sunday)
Being the soothsayer of the tribe is a dirty job, but someone has to do it.
Anthon St. Maarten
In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. Find something that can be made better by adding online smartness to it. An
Kevin Kelly (The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future)
Fuck the weather forecasters and their predictions. With magic, he’d just turned their Doppler radar upside down. Sapphire Phelan (Being Familiar With a Witch)
Sapphire Phelan
For each visual input, it takes a tiny but perceptible amount of time—about two hundred milliseconds, one-fifth of a second—for the information to travel along the optic nerves and into the brain to be processed and interpreted. One-fifth of a second is not a trivial span of time when a rapid response is required—to step back from an oncoming car, say, or to avoid a blow to the head. To help us deal better with this fractional lag, the brain does a truly extraordinary thing: it continuously forecasts what the world will be like a fifth of a second from now, and that is what it gives us as the present. That means that we never see the world as it is at this very instant, but rather as it will be a fraction of a moment in the future. We spend our whole lives, in other words, living in a world that doesn’t quite exist yet.
Bill Bryson (The Body: A Guide for Occupants)
This is my long-run forecast in brief: The material conditions of life will continue to get better for most people, in most countries, most of the time, indefinitely. Within a century or two, all nations and most of humanity will be at or above today's Western living standards. I also speculate, however, that many people will continue to think and say that the conditions of life are getting worse.
Julian L. Simon
Our human race is affected by a chronic underestimation of the possibility of the future straying from the course initially envisioned (in addition to other biases that sometimes exert a compounding effect). To take an obvious example, think about how many people divorce. Almost all of them are acquainted with the statistic that between one-third and one-half of all marriages fail, something the parties involved did not forecast while tying the knot. Of course, "not us," because "we get along so well" (as if others tying the knot got along poorly).
Nassim Nicholas Taleb (The Black Swan: The Impact of the Highly Improbable)
It’s the little deceptions that no one catches that are going to dissolve it all someday. We’ll look at clocks and we won’t believe the hands. They’ll forecast sun but we’ll pack our slickers anyway.
Walter Kirn (Up in the Air)
Sometimes I wish there were a weather report for your life. Tomorrow’s forecast is for routine high school shenanigans in the morning, but with dramatic parental betrayal by late afternoon, ending with wild emotional despair by nightfall. Details after the next commercial break.
Nicola Yoon (Instructions for Dancing)
It does little good to forecast the future of semiconductors or energy, or the future of the family (even one's own family), if the forecast springs from the premise that everything else will remain unchanged. For nothing will remain unchanged. The future is fluid, not frozen. It is constructed by our shifting and changing daily decisions, and each event influences all others.
Alvin Toffler (The Third Wave)
People are like their own ecosystems, little planets made up of islands and climates and forecasts. Some of us carry jagged mountain peaks, and some of us carry lakes.
Katie Kacvinsky (Still Point (Awaken, #3))
Life is like the weather,despite a sunny forecast you can get wet.
Dick Francis
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)
But the forecasters and media types were clever - they never used vague words like "maybe." No, they stuck with convenient terms for which no one could be held accountable, like "probability of precipitation.
Haruki Murakami (Killing Commendatore)
History cannot be explained deterministically and it cannot be predicted because it is chaotic. So many forces are at work and their interactions are so complex that extremely small variations in the strength of the forces and the way they interact produce huge differences in outcomes. Not only that, but history is what is called a ‘level two’ chaotic system. Chaotic systems come in two shapes. Level one chaos is chaos that does not react to predictions about it. The weather, for example, is a level one chaotic system. Though it is influenced by myriad factors, we can build computer models that take more and more of them into consideration, and produce better and better weather forecasts. Level two chaos is chaos that reacts to predictions about it, and therefore can never be predicted accurately. Markets, for example, are a level two chaotic system. What will happen if we develop a computer program that forecasts with 100 per cent accuracy the price of oil tomorrow? The price of oil will immediately react to the forecast, which would consequently fail to materialise. If the current price of oil is $90 a barrel, and the infallible computer program predicts that tomorrow it will be $100, traders will rush to buy oil so that they can profit from the predicted price rise. As a result, the price will shoot up to $100 a barrel today rather than tomorrow. Then what will happen tomorrow? Nobody knows.
Yuval Noah Harari (Sapiens: A Brief History of Humankind)
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)
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)
- Obviously, we're hoping that the weather forecasters are wrong, the way they tend to be about ninety-eight percent of the time A few adults chuckled at that lameness. I remember thinking, hoping, that I would never turn into the kind of person who though weather jokes were funny.
Siobhan Vivian (The Last Boy and Girl in the World)
The skies we slept under were too uncertain for forecasts. They came and went on the moody gusts of the Atlantic, bringing half a dozen weathers in an afternoon and playing all four movements of a wind symphony, allegro, andante, scherzo and adagio on the broken backs of white waves.
Niall Williams (Four Letters of Love)
He had met this sort of white man before, earnest and believing what came out of their mouths. The veracity of their words was another matter, but at least they believed them. The southern white man was spat from the loins of the devil and there was no way to forecast his next evil act.
Colson Whitehead (The Underground Railroad)
What is surprising is not the magnitude of our forecast errors, but our absence of awareness of it. This is all the more worrisome when we engage in deadly conflicts: wars are fundamentally unpredictable (and we do not know it). Owing to this misunderstanding of the causal chains between policy and actions, we can easily trigger Black Swans thanks to aggressive ignorance-like a child playing with a chemistry kit.
Nassim Nicholas Taleb (The Black Swan: The Impact of the Highly Improbable)
Tabini was at least canny enough in the differences between atevi and human to know that, gut level, he might think he understood - but chances were very good that he wouldn't, couldn't, and never would, unaided by the paidhi, come up with the right forecast of human behavior because he didn't come with the right hardwiring. Average people didn't analyze what they thought: they thought they thought, and half of it was gut reaction.
C.J. Cherryh (Invader (Foreigner, #2))
In those years before mobile phones, email and Skype, travelers depended on the rudimentary communications system known as the postcard. Other methods--the long-distance phone call, the telegram--were marked "For Emergency Use Only." So my parents waved me off into the unknown, and their news bulletins about me would have been restricted to "Yes, he's arrived safely,"and "Last time we heard he was in Oregon," and "We expect him back in a few weeks." I'm not saying this was necessarily better, let alone more character-forming; just that in my case it probably helped not to have my parents a button's touch away, spilling out anxieties and long-range weather forecasts, warning me against floods, epidemics and psychos who preyed on backpackers.
Julian Barnes (The Sense of an Ending)
The computer focuses ruthlessly on things that can be represented in numbers. In so doing, it seduces people into thinking that other aspects of knowledge are either unreal or unimportant. The computer treats reason as an instrument for achieving things, not for contemplating things. It narrows dramatically what we know and intended by reason.
George Friedman (The Next 100 Years: A Forecast for the 21st Century)
Did they launch the last space shuttle yet?” – Sundown “I don’t follow.” – Ren “I’m just thinking maybe we should evacuate the whole planet. I’ve heard the moon is kind of nice this time of year.” – Sundown “Focus your ADD, Jess.” – Ren “I gotcha, brother. What you’re forecasting is six more plagues coming out of the northwest at maximum velocity with a mild chance of survival. Followed by the world getting swallowed whole in a vat of evil.” – Sundown
Sherrilyn Kenyon (Retribution (Dark-Hunter, #19))
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)
Every milestone in the history of the company, even when forecast with heaps of hoopla, was ultimately played out according to some secret timeline of geologic tedium, so that it was drained of all interest and drama well before it took place and afterward went all but unnoticed.
Thomas Ligotti (My Work is Not Yet Done: Three Tales of Corporate Horror)
You have to include inflation in your annual revenue and expense forecasts. You have to treat inflation as an annual fee your business pays into the economy. If inflation is 2% for example, that means the economy is charging your business a 2% annual fee and so you gotta make sure your income and total assets grow at minimum 2% annually just to keep up.
Hendrith Vanlon Smith Jr. (Business Essentials)
Economics is a discipline for quiet times. The profession, it turns out, … has no grip on understanding how the abnormal grows out of the normal and what happens next, its practitioners like weather forecasters who don’t understand storms. —Will Hutton, journalist The Observer, London
Mark Buchanan (Forecast: What Physics, Meteorology, and the Natural Sciences Can Teach Us About Economics)
Notice that the story [of technical progress accelerating indefinitely] is not testable; we just have to wait around and see. If the predicted year of true AI's coming is false, too, another one can be forecast, a few decades into the future. AI in this sense is unfalsifiable and thus--according to the accepted rules of the scientific method--unscientific.
Erik J. Larson (The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do)
Oh, really? Do you wake up heaving from bloody dreams that promise destruction like some crazy street guy forecasting the Apocalypse? Did you slam a door in your dad’s face hours before he died? Does everyone, cops included, think you’re a pestering loon ’cause ‘accident’ doesn’t sit right with you, nor the many other freakouts, like the car that keeps showing up on your street, with someone sitting in it, doing like, nothing? No? Oh no? Didn’t think so. Life sucks for everyone. Jump or deal with it.
Courtney Vail (Kings & Queens (Kings & Queens, #1))
Easy issues are at the heart of what sociologist James Davison Hunter (119911) forecast as the emerging polarization of American politics. In Culture Wars: The Struggle to Define America, which is often cited as the impetus for Pat Buchanan's fiery speech at the 1199z Republican National Convention and the dawn of polarized politics, he suggests that the emergence of new social issues, such as abortion, the death penalty, and gay rights, make polarization inevitable.
Marc J. Hetherington (Authoritarianism and Polarization in American Politics)
It is evident, therefore, that one of the most fundamental problems of psychology is that of investigating the laws of mental growth. When these laws are known, the door of the future will in a measure be opened; determination of the child's present status will enable us to forecast what manner of adult he will become.
Lewis M. Terman
The story of the Utah prairie dog is the story of the range of our compassion. If we can extend our idea of community to include the lowliest of creatures, call them 'the untouchables', then we will indeed be closer to a path of peace and tolerance. if we cannot accommodate 'the other', the shadow we will see on our own home ground will be the forecast of our own species' extended winter of the soul.
Terry Tempest Williams
Once in a while, however, the future turns out to be very different from the past. It’s at these times that accurate forecasts would be of great value. It’s also at these times that forecasts are least likely to be correct. Some forecasters may turn out to be correct at these pivotal moments, suggesting that it’s possible to correctly
Howard Marks (The Most Important Thing Illuminated: Uncommon Sense for the Thoughtful Investor (Columbia Business School Publishing))
But forecasters often resist considering these out-of-sample problems. When we expand our sample to include events further apart from us in time and space, it often means that we will encounter cases in which the relationships we are studying did not hold up as well as we are accustomed to. The model will seem to be less powerful. It will look less impressive in a PowerPoint presentation (or a journal article or a blog post). We will be forced to acknowledge that we know less about the world than we thought we did. Our personal and professional incentives almost always discourage us from doing this.
Nate Silver (The Signal and the Noise: Why So Many Predictions Fail-but Some Don't)
Good thoughts yield good things. The future, no matter how dark it seems, can always change, as long as the thoughts change.
R.A. Montgomery (Forecast from Stonehenge)
Interviews were invented to make journalism less passive. Instead of waiting for something to happen, journalists ask someone what should or could happen.
Mokokoma Mokhonoana (N for Nigger: Aphorisms for Grown Children and Childish Grown-ups)
The average expert was a horrific forecaster. Their areas of specialty, years of experience, academic degrees, and even (for some) access to classified information made no difference. They were bad at short-term forecasting, bad at long-term forecasting, and bad at forecasting in every domain. When experts declared that some future event was impossible or nearly impossible, it nonetheless occurred 15 percent of the time. When they declared a sure thing, it failed to transpire more than one-quarter of the time.
David Epstein (Range: Why Generalists Triumph in a Specialized World)
Grief is less like a predictable sequence and more like an amorphous blob of uncertainty. You can’t forecast your way out of grief, because there’s no way to determine when the next wave is coming. This may seem disheartening at first, but when you recognize that there is no structure for grief, you can stop trying to pinpoint exactly where you are on your journey. If there’s no road map, it’s impossible to be lost.
Shelby Forsythia (Your Grief, Your Way: A Year of Practical Guidance and Comfort After Loss)
Like the weather or bonds between lovers, transformations can never be predicted. All energy transmutes one day or another, in one way or another. Either in its form or composition, or in its position or disposition.
Suzy Kassem (Rise Up and Salute the Sun: The Writings of Suzy Kassem)
People never pay attention to weather reports; this, I believe, is a constant factor in man's psychological makeup, stemming probably from an ancient distrust of the shaman. You want them to be wrong. If they're right, then they're somehow superior, and this is even more uncomfortable than getting wet. "This Moment of the Storm
Roger Zelazny (The Doors of His Face, the Lamps of His Mouth)
Extrapolations are useful, particularly in that form of soothsaying called forecasting trends. But in looking at the figures or charts made from them, it is necessary to remember one thing constantly: The trend-to-now may be a fact, but the future trend represents no more than an educated guess. Implicit in it is "everything else being equal" and "present trends continuing." And somehow everything else refuses to remain equal, else life would be dull indeed.
Darrell Huff (How to Lie with Statistics)
When forecasting the outcomes of risky projects, executives too easily fall victim to the planning fallacy. In its grip, they make decisions based on delusional optimism rather than on a rational weighting of gains, losses, and probabilities. They overestimate benefits and underestimate costs. They spin scenarios of success while overlooking the potential for mistakes and miscalculations. As a result, they pursue initiatives that are unlikely to come in on budget or on time or to deliver the expected returns—or even to be completed. In this view, people often (but not always) take on risky projects because they are overly optimistic about the odds they face. I will return to this idea several times in this book—it probably contributes to an explanation of why people litigate, why they start wars, and why they open small businesses.
Daniel Kahneman (Thinking, Fast and Slow)
But do you know what happened during this period? Where do we begin ... 1.3 million Americans died while fighting nine major wars. Roughly 99.9% of all companies that were created went out of business. Four U.S. presidents were assassinated. 675,000 Americans died in a single year from a flu pandemic. 30 separate natural disasters killed at least 400 Americans each. 33 recessions lasted a cumulative 48 years. The number of forecasters who predicted any of those recessions rounds to zero. The stock market fell more than 10% from a recent high at least 102 times. Stocks lost a third of their value at least 12 times. Annual inflation exceeded 7% in 20 separate years. The words “economic pessimism” appeared in newspapers at least 29,000 times, according to Google.
Morgan Housel (The Psychology of Money: Timeless lessons on wealth, greed, and happiness)
Chaos theory throws it right out the window. It says that you can never predict certain phenomena at all. You can never predict the weather more than a few days away. All the money that has been spent on long-range forecasting—about half a billion dollars in the last few decades—is money wasted. It’s a fool’s errand. It’s as pointless as trying to turn lead into gold. We look back at the alchemists and laugh at what they were trying to do, but future generations will laugh at us the same way. We’ve tried the impossible—and spent a lot of money doing it. Because in fact there are great categories of phenomena that are inherently unpredictable.
Michael Crichton (Jurassic Park (Jurassic Park, #1))
What to wear on a Minnesota farm? The older farmers I know wear brown polyester jumpsuits, like factory workers. The younger ones wear jeans, but the forecast was for ninety-five degrees with heavy humidity. The wardrobe of Quaker ladies in their middle years runs to denim skirts and hiking boots. This outfit had worked fine for me in England. But one of my jobs in Minnesota will be to climb onto the industrial cuisinart in the hay barn and mix fifty-pound bags of nutritional supplement and corn into blades as big as my body. Getting a skirt caught in that thing would be bad news for Betty Crocker.
Mary Rose O'Reilley (The Barn at the End of the World: The Apprenticeship of a Quaker, Buddhist Shepherd)
Holmes laughed. "Watson insists that I am the dramatist in real life," said he. "Some touch of the artist wells up within me, and calls insistently for a well-staged performance. Surely our profession, Mr. Mac, would be a drab and sordid one if we did not sometimes set the scene so as to glorify our results. The blunt accusation, the brutal tap upon the shoulder - what can one make of such a denouement? But the quick inference, the subtle trap, the clever forecast of coming events, the triumphant vindication of bold theories - are these not the pride and the justification of our life's work? At the present moment you thrill with the glamour of the situation and the anticipation of the hunt. Where would be that thrill if I had been as definite as a timetable?
Arthur Conan Doyle (The Complete Sherlock Holmes: Volume II)
Some readers are bound to want to take the techniques we’ve introduced here and try them on the problem of forecasting the future price of securities on the stock market (or currency exchange rates, and so on). Markets have very different statistical characteristics than natural phenomena such as weather patterns. Trying to use machine learning to beat markets, when you only have access to publicly available data, is a difficult endeavor, and you’re likely to waste your time and resources with nothing to show for it. Always remember that when it comes to markets, past performance is not a good predictor of future returns—looking in the rear-view mirror is a bad way to drive. Machine learning, on the other hand, is applicable to datasets where the past is a good predictor of the future.
François Chollet (Deep Learning with Python)
As CEO, you should have an opinion on absolutely everything. You should have an opinion on every forecast, every product plan, every presentation, and even every comment. Let people know what you think. If you like someone’s comment, give her the feedback. If you disagree, give her the feedback. Say what you think. Express yourself. This will have two critically important positive effects:   Feedback won’t be personal in your company. If the CEO constantly gives feedback, then everyone she interacts with will just get used to it. Nobody will think, “Gee, what did she really mean by that comment? Does she not like me?” Everybody will naturally focus on the issues, not an implicit random performance evaluation.   People will become comfortable discussing bad news. If people get comfortable talking about what each other are doing wrong, then it will be very easy to talk about what the company is doing wrong. High-quality company cultures get their cue from data networking routing protocols: Bad news travels fast and good news travels slowly. Low-quality company cultures take on the personality of the Wicked Witch of the West in The Wiz: “Don’t nobody bring me no bad news.
Ben Horowitz (The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers)
The most realistic distinction between the investor and the speculator is found in their attitude toward stock-market movements. The speculator’s primary interest lies in anticipating and profiting from market fluctuations. The investor’s primary interest lies in acquiring and holding suitable securities at suitable prices. Market movements are important to him in a practical sense, because they alternately create low price levels at which he would be wise to buy and high price levels at which he certainly should refrain from buying and probably would be wise to sell. It is far from certain that the typical investor should regularly hold off buying until low market levels appear, because this may involve a long wait, very likely the loss of income, and the possible missing of investment opportunities. On the whole it may be better for the investor to do his stock buying whenever he has money to put in stocks, except when the general market level is much higher than can be justified by well-established standards of value. If he wants to be shrewd he can look for the ever-present bargain opportunities in individual securities. Aside from forecasting the movements of the general market, much effort and ability are directed on Wall Street toward selecting stocks or industrial groups that in matter of price will “do better” than the rest over a fairly short period in the future. Logical as this endeavor may seem, we do not believe it is suited to the needs or temperament of the true investor—particularly since he would be competing with a large number of stock-market traders and first-class financial analysts who are trying to do the same thing. As in all other activities that emphasize price movements first and underlying values second, the work of many intelligent minds constantly engaged in this field tends to be self-neutralizing and self-defeating over the years. The investor with a portfolio of sound stocks should expect their prices to fluctuate and should neither be concerned by sizable declines nor become excited by sizable advances. He should always remember that market quotations are there for his convenience, either to be taken advantage of or to be ignored. He should never buy a stock because it has gone up or sell one because it has gone down. He would not be far wrong if this motto read more simply: “Never buy a stock immediately after a substantial rise or sell one immediately after a substantial drop.” An
Benjamin Graham (The Intelligent Investor)
Hope is one of our central emotions, but we are often at a loss when asked to define it. Many of us confuse hope with optimism, a prevailing attitude that "things turn out for the best." But hope differs from optimism. Hope does not arise from being told to "Think Positively," or from hearing an overly rosy forecast. Hope, unlike optimism, is rooted in unalloyed reality. Although there is no uniform definition of hope, I found on that seemed to capture what my patients had taught me. Hope is the elevating feeling we experience when we see - in the mind's eye- a path to a better future. Hope acknowledges the significant obstacles and deep pitfalls along that path. True hope has no room for delusion.
Jerome Groopman (The Anatomy of Hope: How People Prevail in the Face of Illness)
In 2005 Rick Santorum, a senator from AccuWeather’s home state of Pennsylvania and a recipient of Myers family campaign contributions, introduced a bill that would have written this idea into law. The bill was a little vague, but it appeared to eliminate the National Weather Service’s website or any other means of communication with the public. It allowed the Weather Service to warn people about the weather just before it was about to kill them, but at no other time—and exactly how anyone would be any good at predicting extreme weather if he or she wasn’t predicting all the other weather was left unclear. Pause a moment to consider the audacity of that maneuver. A private company whose weather predictions were totally dependent on the billions of dollars spent by the U.S. taxpayer to gather the data necessary for those predictions, and on decades of intellectual weather work sponsored by the U.S. taxpayer, and on international data-sharing treaties made on behalf of the U.S. taxpayer, and on the very forecasts that the National Weather Service generated, was, in effect, trying to force the U.S. taxpayer to pay all over again for what the National Weather Service might be able to tell him or her for free.
Michael Lewis (The Fifth Risk: Undoing Democracy)
Nobody in Faha could remember when it started. Rain there on the western seaboard was a condition of living. It came straight-down and sideways, frontwards, backwards and any other wards God could think of. It came in sweeps, in waves, sometimes in veils. It came dressed as drizzle, as mizzle, as mist, as showers, frequent and widespread, as a wet fog, as a damp day, a drop, a dripping, and an out-and-out downpour. It came the fine day, the bright day, and the day promised dry. It came at any time of the day and night, and in all seasons, regardless of calendar and forecast, until in Faha your clothes were rain and your skin was rain and your house was rain with a fireplace. It came off the grey vastness of an Atlantic that threw itself against the land like a lover once spurned and resolved not to be so again. It came accompanied by seagulls and smells of salt and seaweed. It came with cold air and curtained light. It came like a judgment, or, in benign version, like a blessing God had forgotten he had left on. It came for a handkerchief of blue sky, came on westerlies, sometimes—why not?—on easterlies, came in clouds that broke their backs on the mountains in Kerry and fell into Clare, making mud the ground and blind the air. It came disguised as hail, as sleet, but never as snow. It came softly sometimes, tenderly sometimes, its spears turned to kisses, in rain that pretended it was not rain, that had come down to be closer to the fields whose green it loved and fostered, until it drowned them.
Niall Williams (This is Happiness)
Love is.... it's bringing an umbrella when rain is forecasted, but, like not for you. It's serenading someone off-key in the kitchen while they chop red peppers lenghtwise because they know you like them better that way. It's pulling the car in backward at night because your parner gets edgy when they have to back into morning traffic. It's buying moisturizer in bulk because one time they mentioned they liked the scent. It's noticing things.Seeing parts of them even they might not know exist because you've been studying them since the moment you first laid eyes on them. It's memorizing their phone number even if you have it programmed because God forbid you ever lost your contacts. It's reading their mood by the song blaring through their headphones. It's experiencing something so extraordinary you can't tell if it was just that mind-blowing or if it's only because they were there with you that you were so affected by it.
Erin Hahn (More Than Maybe)
Make then your forecasts, my lords Astrologers, with your slavish physicians, by means of those astrolabes with which you seek to discern the fantastic nine moving spheres; in these you finally imprison your own minds, so that you appear to me but as parrots in a cage, while I watch you dancing up and down, turning and hopping within those circles. We know that the Supreme Ruler cannot have a seat so narrow, so miserable a throne, so straight a tribunal, so scanty a court, so small and feeble a simulacrum that a phantasm can bring to birth, a dream shatter, a delusion restore, a chimera disperse, a calamity diminish, a misdeed abolish and a thought renew it again, so that indeed with a puff of air it were brimful and with a single gulp it were emptied. On the contrary we recognize a noble image, a marvellous conception, a supreme figure, an exalted shadow, an infinite representation of the represented infinity, a spectacle worthy of the excellence and supremacy of Him who transcendeth understanding, comprehension or grasp. Thus is the excellence of God magnified and the greatness of his kingdom made manifest; he is glorified not in one, but in countless suns; not in a single earth, a single world, but in a thousand thousand, I say in an infinity of worlds.
Giordano Bruno (On the Infinite, the Universe and the Worlds: Five Cosmological Dialogues (Collected Works of Giordano Bruno Book 2))
Isn’t it complicated to be human, though?” she said. “Animals seem to give up their lives so naturally…And after all, I grew up, I married John, I had Debby. So knowing, being able to understand and forecast and even predict an approximate date, shouldn’t make any difference. I guess consciousness makes individuals of us, and as individuals we lose the old acceptance…” “The one thing,” Marian said in a voice that went suddenly small and tight, “the thing I can hardly bear sometimes is that I won’t ever see her grow up. She’ll have to do it without whatever I could have given her.” “Time, too, time and everything that one could do in it, and the chance of wasting or losing or never even realizing it. It’s so important to us because we see it so close. We’re individuals, we’re full of ourselves, and so we’re bad historians. We get crazy and anxious because all of sudden there’s so little time left to be loving and generous as we wish we’d always been and always intended to be…do you suppose I feel the shortness of time because I want to experience everything and feel everything that the race has ever felt? Because there’s so much to feel and I’m greedy?
Wallace Stegner (All the Little Live Things)
America is in the earliest phase of its power. It is not fully civilized. America, like Europe in the sixteenth century, is still barbaric (a description, not a moral judgment). Its culture is unformed. Its will is powerful. Its emotions drive it in different and contradictory directions. Cultures live in one of three states. The first state is barbarism. Barbarians believe that the customs of their village are the laws of nature and that anyone who doesn’t live the way they live is beneath contempt and requiring redemption or destruction. The third state is decadence. Decadents cynically believe that nothing is better than anything else. If they hold anyone in contempt, it is those who believe in anything. Nothing is worth fighting for. Civilization is the second and most rare state. Civilized people are able to balance two contradictory thoughts in their minds. They believe that there are truths and that their cultures approximate those truths. At the same time, they hold open in their mind the possibility that they are in error. The combination of belief and skepticism is inherently unstable. Cultures pass through barbarism to civilization and then to decadence, as skepticism undermines self-certainty Civilized people fight selectively but effectively.
George Friedman (The Next 100 Years: A Forecast for the 21st Century)
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)