Today's Forecast Quotes

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.

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.

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.

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.

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.

Today's forecast, party cloudy and a sleight chance of Noah in your life

I do think that, of all the silly, irritating tomfoolishness by which we are plagued, this “weather-forecast” fraud is about the most aggravating.  It “forecasts” precisely what happened yesterday or a the day before, and precisely the opposite of what is going to happen to-day.

She fusses for the wrong reasons. She's not really fussing because severe weather is in today's forecast, or because my brother Ethan died, leaving her with only one child to fret about, or because I'm addicted to prescription drugs--which she doesn't even know--but because Mercury is in retrograde.

Times change! Before, no one believed the weather forecast. Today in the news only the weather forecast can be trusted.

Today's Terror Forecast has predicted a day of low-to-moderate unrest for East Jerusalem with mild political pressure moving inward from the west.

today’s forecast is rain of course but you won’t open the curtains to check there are six mugs half drunk by your bed and a broken vein from your heart to your hip. ‘you are a part of the universe’ your mother says with another cup in her hands- ‘isn’t that worth getting out of bed for?’ the rain begins then and hell the forecast could be an alien invasion and you still wouldn’t peel the blinds back to see.

Futurists are skilled at listening to and interpreting the signals talking. It’s a learnable skill, and a process anyone can master. Futurists look for early patterns—pre-trends, if you will—as the scattered points on the fringe converge and begin moving toward the mainstream. They know most patterns will come to nothing, and so they watch and wait and test the patterns to find those few that will evolve into genuine trends. Each trend is a looking glass into the future, a way to see over time’s horizon. The advantage of forecasting the future in this way is obvious. Organizations that can see trends early enough to take action have first-mover influence. But they can also help to inform and shape the broader context, conversing and collaborating with those in other fields to plan ahead.

do think that of all the silly, irritating tomfoolishness by which we are plagued, this ‘weather-forecast’ fraud is about the most aggravating. It ‘forecasts’ precisely what happened yesterday or the day before, and precisely the opposite of what is going to happen today.

The democracy of to-day hold the liberty of one man to be absolutely nothing when in conflict with another man's right of property... This is a world of compensations; and he would -be- no slave must consent to -have- no slave. Those who deny freedom to others, deserve it not for themselves; and, under a just God, can not long retain it. All honor to Jefferson - to the man who, in the concrete pressure of a struggle for national independence by a single people, had the coolness, forecast, and capacity to introduce into a merely revolutionary document, an abstract truth, applicable to all men and all times, and so embalm it there, that to-day, and in all coming days, it shall be a rebuke and a stumbling-block to the very harbingers of re-appearing tyranny and oppression. Your obedient Servant, [Abraham Lincoln] April 6, 1859, in a letter to MA State Rep Henry L. Pierce Springfield, Ill.

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.

Once upon a time there was much talk of the apathy of the masses. Their silence was the crucial fact for an earlier generation. Today, however, the masses act not by deflection but by infection, tainting opinion polls and forecasts with their multifarious phantasies. Their abstention and their silence are no longer determining factors (that stage was still nihilistic); what counts now is their use of the cogs in the workings of uncertainty. Where the masses once sported with their voluntary servitude, they now sport with their involuntary incertitude. Unbeknownst to the experts who scrutinize them and the manipulators who believe they can influence them, they have grasped the fact that politics is virtually dead, and that they now have a new game to play, just as exciting as the ups and downs of the stock market. This game enables them to make audiences, charismas, levels of prestige and the market prices of images dance up and down with an intolerable facility. The masses had been deliberately demoralized and de-ideologized in order that they might become the live prey of probability theory, but now it is they who destabilize all images and play games with political truth.

My master, sooner or later, will die of his dyspepsia. Old man Goldfield is already doomed by his greed. The autumn leaves have mostly fallen. All that has life must lose it. Since there seems so little point in living, perhaps those who die young are the only creatures wise. If one heeds the sages who assembled here today, mankind has already sentenced itself to extinction by suicide. If we don't watch out, even cats may find their individualities developing along the lethal crushing pattern forecast for these two-legged loons. It's an appalling prospect. Depression weighs upon me. Perhaps a sip of Sampei's beer would cheer me up.

Complex operations, in which agencies assume complementary roles and operate in close proximity-often with similar missions but conflicting mandates-accentuate these tensions. The tensions are evident in the processes of analyzing complex environments, planning for complex interventions, and implementing complex operations. Many reports and analyses forecast that these complex operations are precisely those that will demand our attention most in the indefinite future. As essayist Barton and O'Connell note, our intelligence and understanding of the root cause of conflict, multiplicity of motivations and grievances, and disposition of actors is often inadequate. Moreover, the problems that complex operations are intended and implemented to address are convoluted, and often inscrutable. They exhibit many if not all the characteristics of "wicked problems," as enumerated by Rittel and Webber in 1973: they defy definitive formulations; any proposed solution or intervention causes the problem to mutate, so there is no second chance at a solution; every situation is unique; each wicked problem can be considered a symptom of another problem. As a result, policy objectives are often compound and ambiguous. The requirements of stability, for example, in Afghanistan today, may conflict with the requirements for democratic governance. Efforts to establish an equitable social contract may well exacerbate inter-communal tensions that can lead to violence. The rule of law, as we understand it, may displace indigenous conflict management and stabilization systems. The law of unintended consequences may indeed be the only law of the land. The complexity of the challenges we face in the current global environment would suggest the obvious benefit of joint analysis - bringing to bear on any given problem the analytic tools of military, diplomatic and development analysts. Instead, efforts to analyze jointly are most often an afterthought, initiated long after a problem has escalated to a level of urgency that negates much of the utility of deliberate planning.

If a weather forecaster said today’s high temperature would be seventy degrees Fahrenheit and it is sixty-five degrees, the forecaster made an error of plus five degrees. Evidently, this approach does not work for nonverifiable judgments like the Gambardi problem, which have no true outcome. How, then, are we to decide what constitutes good judgment? The answer is that there is a second way to evaluate judgments. This approach applies both to verifiable and nonverifiable ones. It consists in evaluating the process of judgment. When we speak of good or bad judgments, we may be speaking either about the output (e.g., the number you produced in the Gambardi case) or about the process—what you did to arrive at that number.

We cannot be certain whether today’s Frankensteins will indeed fulfil this prophecy. The future is unknown, and it would be surprising if the forecasts of the last few pages were realised in full. History teaches us that what seems to be just around the corner may never materialise due to unforeseen barriers, and that other unimagined scenarios will in fact come to pass. When the nuclear age erupted in the 1940s, many forecasts were made about the future nuclear world of the year 2000. When sputnik and Apollo 11 fired the imagination of the world, everyone began predicting that by the end of the century, people would be living in space colonies on Mars and Pluto. Few of these forecasts came true. On the other hand, nobody foresaw the Internet.

Determinism is appealing because it implies that our world and our beliefs are a natural and inevitable product of history. It is natural and inevitable that we live in nation states, organise our economy along capitalist principles, and fervently believe in human rights. To acknowledge that history is not deterministic is to acknowledge that it is just a coincidence that most people today believe in nationalism, capitalism and human rights. 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.

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. A

The cheerleaders of the new data regime rarely acknowledge the impacts of digital decision-making on poor and working-class people. This myopia is not shared by those lower on the economic hierarchy, who often see themselves as targets rather than beneficiaries of these systems. For example, one day in early 2000, I sat talking to a young mother on welfare about her experiences with technology. When our conversation turned to EBT cards, Dorothy Allen said, “They’re great. Except [Social Services] uses them as a tracking device.” I must have looked shocked, because she explained that her caseworker routinely looked at her purchase records. Poor women are the test subjects for surveillance technology, Dorothy told me. Then she added, “You should pay attention to what happens to us. You’re next.” Dorothy’s insight was prescient. The kind of invasive electronic scrutiny she described has become commonplace across the class spectrum today. Digital tracking and decision-making systems have become routine in policing, political forecasting, marketing, credit reporting, criminal sentencing, business management, finance, and the administration of public programs. As these systems developed in sophistication and reach, I started to hear them described as forces for control, manipulation, and punishment

Nor, if the succession of events exercises a charm, is unpredictability by any means the least part of it. When a forecast is made, no matter what it may be, it is always tempting to prove it wrong. Events themselves often help us out in this regard. There are overpredicted events, for instance, that obligingly decline to occur; and then there are the exactly opposite kind - those which occur without forewarning. It behoves us to bank on such conjunctural surprises - such 'backdraughts'. We must bet on the Witz of events themselves. If we lose, at least we shall have had the satisfaction of defying the objective idiocy of the probabilities. This obligation is a vital function - part of our collective genetic heritage. Indeed, this is the only genuine function of the intellect: to embrace contradictions, to exercise irony, to take the opposite tack, to exploit rifts and reversibility - even to fly in the face of the lawful and the factual. If the intellectuals of today seem to have run out of things to say, this is because they have failed to assume this ironic function, confining themselves within the limits of their moral, political or philosophical consciousness despite the fact that the rules have changed, that all irony, all radical criticism now belongs exclusively to the haphazard, the viral, the catastrophic - to accidental or system-led reversals. Such are the new rules of the game - such is the new principle of uncertainty that now holds sway over all. [...]

You know the logics setup. You got a logic in your house. It looks like a vision receiver used to, only it's got keys instead of dials and you punch the keys for what you wanna get. It's hooked in to the tank, which has the Carson Circuit all fixed up with relays. Say you punch "Station SNAFU" on your logic. Relays in the tank take over an' whatever vision-program SNAFU is telecastin' comes on your logic's screen. Or you punch "Sally Hancock's Phone" an' the screen blinks an' sputters an' you're hooked up with the logic in her house an' if somebody answers you got a vision-phone connection. But besides that, if you punch for the weather forecast or who won today's race at Hialeah or who was mistress of the White House durin' Garfield's administration or what is PDQ and R sellin' for today, that comes on the screen too. The relays in the tank do it. The tank is a big buildin' full of all the facts in creation an' all the recorded telecasts that ever was made—an' it's hooked in with all the other tanks all over the country—an' everything you wanna know or see or hear, you punch for it an' you get it. Very convenient. Also it does math for you, an' keeps books, an' acts as consultin' chemist, physicist, astronomer, an' tea-leaf reader, with a "Advice to the Lovelorn" thrown in. The only thing it won't do is tell you exactly what your wife meant when she said, "Oh, you think so, do you?" in that peculiar kinda voice. Logics don't work good on women. Only on things that make sense. (1949)

I have an-odd ability-to read very quickly.” “Oh,” Elizabeth replied, “how lucky you are. I never heard of a talent like that.” A lazy glamorous smile swept across his face, and he squeezed her hand. “It’s not nearly as uncommon as your eyes,” he said. Elizabeth thought it must be a great deal more uncommon, but she wasn’t completely certain and she let it pass. The following day, that discovery was completely eclipsed by another one. At Ian’s insistence, she’d spread the books from Havenhurst across his desk in order to go over the quarter’s accounts, and as the morning wore on, the long columns of figures she’d been adding and multiplying began to blur together and transpose themselves in her mind-due in part, she thought with a weary smile, to the fact that her husband had kept her awake half the night making love to her. For the third time, she added the same long columns of expenditures, and for the third time, she came up with a different sum. So frustrated was she that she didn’t realize Ian had come into the room, until he leaned over her from behind and put his hands on the desk on either side of her own. “Problems?” he asked, kissing the top of her head. “Yes,” she said, glancing at the clock and realizing that the business acquaintances he was expecting would be there momentarily. As she explained her problem to him, she started shoving loose papers into the books, hurriedly trying to reassemble everything and clear his desk. “For the last forty-five minutes, I’ve been adding the same four columns, so that I could divide them by eighteen servants, multiply that by forty servants which we now have there, times four quarters. Once I know that, I can forecast the real cost of food and supplies with the increased staff. I’ve gotten three different answers to those miserable columns, and I haven’t even tried the rest of the calculations. Tomorrow I’ll have to start all over again,” she finished irritably, “and it takes forever just to get all this laid out and organized.” She reached out to close the book and shove her calculations into it, but Ian stopped her. “Which columns are they?” he asked calmly, his surprised gaze studying the genuine ire on her face. “Those long ones down the left-hand side. It doesn’t matter, I’ll fight it out tomorrow,” she said. She shoved the chair back, dropped two sheets of paper, and bent over to pick them up. They’d slid beneath the kneehole of the desk, and in growing disgust Elizabeth crawled underneath to get them. Above her, Ian said, “$364.” “Pardon?” she asked when she reemerged, clutching the errant sheets of paper. He was writing it down on a scrap of paper. “$364.” “Do not make light of my wanting to know the figures,” she warned him with an exasperated smile. “Besides,” she continued, leaning up and pressing an apologetic kiss on his cheek, loving the tangy scent of his cologne, “I usually enjoy the bookwork. I’m simply a little short of sleep today, because,” she whispered, “my husband kept me awake half the night.” “Elizabeth,” he began hesitantly, “there’s something I-“ Then he shook his head and changed his mind, and since Shipley was already standing in the doorway to announce the arrival of his business acquaintances, Elizabeth thought no more of it. Until the next morning.

Dear KDP Author, Just ahead of World War II, there was a radical invention that shook the foundations of book publishing. It was the paperback book. This was a time when movie tickets cost 10 or 20 cents, and books cost $2.50. The new paperback cost 25 cents – it was ten times cheaper. Readers loved the paperback and millions of copies were sold in just the first year. With it being so inexpensive and with so many more people able to afford to buy and read books, you would think the literary establishment of the day would have celebrated the invention of the paperback, yes? Nope. Instead, they dug in and circled the wagons. They believed low cost paperbacks would destroy literary culture and harm the industry (not to mention their own bank accounts). Many bookstores refused to stock them, and the early paperback publishers had to use unconventional methods of distribution – places like newsstands and drugstores. The famous author George Orwell came out publicly and said about the new paperback format, if “publishers had any sense, they would combine against them and suppress them.” Yes, George Orwell was suggesting collusion. Well… history doesn’t repeat itself, but it does rhyme. Fast forward to today, and it’s the e-book’s turn to be opposed by the literary establishment. Amazon and Hachette – a big US publisher and part of a $10 billion media conglomerate – are in the middle of a business dispute about e-books. We want lower e-book prices. Hachette does not. Many e-books are being released at $14.99 and even $19.99. That is unjustifiably high for an e-book. With an e-book, there’s no printing, no over-printing, no need to forecast, no returns, no lost sales due to out of stock, no warehousing costs, no transportation costs, and there is no secondary market – e-books cannot be resold as used books. E-books can and should be less expensive. Perhaps channeling Orwell’s decades old suggestion, Hachette has already been caught illegally colluding with its competitors to raise e-book prices. So far those parties have paid $166 million in penalties and restitution. Colluding with its competitors to raise prices wasn’t only illegal, it was also highly disrespectful to Hachette’s readers. The fact is many established incumbents in the industry have taken the position that lower e-book prices will “devalue books” and hurt “Arts and Letters.” They’re wrong. Just as paperbacks did not destroy book culture despite being ten times cheaper, neither will e-books. On the contrary, paperbacks ended up rejuvenating the book industry and making it stronger. The same will happen with e-books. Many inside the echo-chamber of the industry often draw the box too small. They think books only compete against books. But in reality, books compete against mobile games, television, movies, Facebook, blogs, free news sites and more. If we want a healthy reading culture, we have to work hard to be sure books actually are competitive against these other media types, and a big part of that is working hard to make books less expensive. Moreover, e-books are highly price elastic. This means that when the price goes down, customers buy much more. We've quantified the price elasticity of e-books from repeated measurements across many titles. For every copy an e-book would sell at $14.99, it would sell 1.74 copies if priced at $9.99. So, for example, if customers would buy 100,000 copies of a particular e-book at $14.99, then customers would buy 174,000 copies of that same e-book at $9.99. Total revenue at $14.99 would be $1,499,000. Total revenue at $9.99 is $1,738,000. The important thing to note here is that the lower price is good for all parties involved: the customer is paying 33% less and the author is getting a royalty check 16% larger and being read by an audience that’s 74% larger. The pie is simply bigger.

old management methods are not up to the task. Planning and forecasting

Please tell me it's going to rain today, Francois.' 'Ah!' he smiled. (This was obviously familiar territory.) 'I regret to inform you that the forecast calls for nothing but sunshine.' 'Relentless sunshine,' she corrected him.

Double-click degrees are a competency-based system within the current degree framework. As such, they are a way station on the road to unbundling. While many employers today request college transcripts, particularly for entry-level positions, transcripts are used for degree verification, not to specify competencies or skills that match the employer’s needs. This is because transcripts are opaque to employers. No human resources or hiring manager is equipped to decipher a particular transcript from a particular institution. No employer is able to forecast job performance from student transcripts.

Blessed are those who trust in the Lord.… —Jeremiah 17:7 (NRSV) You’re sure you know where you’re going?” My wife’s voice made it obvious she had her own answer to that question. And she was right. I was lost. We were in Cambridge, Massachusetts, staying with friends before Kate ran the Boston Marathon. The last time she’d run it, five years before, we’d stayed in Boston and spent a morning wandering around Cambridge. I thought it might be fun to find the café where we’d had lunch that day. Actually I had another reason for this search. A freak heat wave was forecast for marathon day; officials were warning runners susceptible to heat to drop out. Kate was determined to run. I didn’t try to dissuade her. Instead, I channeled my nervousness into seeking something familiar. “Maybe it’s down this street,” I suggested. Kate frowned. She was supposed to be taking it easy today, not trudging all over town. Suddenly, a few blocks away, I spotted it. “There it is!” We stood outside, peering in at the rickety old tables and racks of pastries. We smiled at each other. “Wasn’t it great when we found this last time?” Kate said. I thought back to that rainy day and how God had cared for us, bringing us to this warm, dry place, guarding Kate through the cold, wet race. God had been with us then; He’d be with us now. “Shall we go in?” said Kate. “Definitely,” I said. Help me to trust You in all things, Lord. —Jim Hinch Digging Deeper: Ps 56:3; Na 1:7

Planning and forecasting are only accurate when based on a long, stable operating history and a relatively static environment. Startups have neither.

To counter apathy, most change agents focus on presenting an inspiring vision of the future. This is an important message to convey, but it’s not the type of communication that should come first. If you want people to take risks, you need first to show what’s wrong with the present. To drive people out of their comfort zones, you have to cultivate dissatisfaction, frustration, or anger at the current state of affairs, making it a guaranteed loss. “The greatest communicators of all time,” says communication expert Nancy Duarte—who has spent her career studying the shape of superb presentations—start by establishing “what is: here’s the status quo.” Then, they “compare that to what could be,” making “that gap as big as possible.” We can see this sequence in two of the most revered speeches in American history. In his famous inaugural address, President Franklin D. Roosevelt opened by acknowledging the current state of affairs. Promising to “speak the whole truth, frankly and boldly,” he described the dire straits of the Great Depression, only then turning to what could be, unveiling his hope of creating new jobs and forecasting, “This great nation . . . will revive and will prosper. . . . The only thing we have to fear is fear itself.” When we recall Martin Luther King, Jr.’s, epic speech, what stands out is a shining image of a brighter future. Yet in his 16-minute oration, it wasn’t until the eleventh minute that he first mentioned his dream. Before delivering hope for change, King stressed the unacceptable conditions of the status quo. In his introduction, he pronounced that, despite the promise of the Emancipation Proclamation, “one hundred years later, the life of the Negro is still sadly crippled by the manacles of segregation and the chains of discrimination.” Having established urgency through depicting the suffering that was, King turned to what could be: “But we refuse to believe that the bank of justice is bankrupt.” He devoted more than two thirds of the speech to these one-two punches, alternating between what was and what could be by expressing indignation at the present and hope about the future. According to sociologist Patricia Wasielewski, “King articulates the crowd’s feelings of anger at existing inequities,” strengthening their “resolve that the situation must be changed.” The audience was only prepared to be moved by his dream of tomorrow after he had exposed the nightmare of today.

Brendan McMahan HomeMy Books Browse ▾ Community ▾ Find Quotes Results for "J.R.Nyquist" Showing 161-167 of 167 (0.02 seconds) “This brief overview of our situation does not lend itself to an optimistic forecast. Too many of our fellow citizens, year after year, have hidden themselves in the “riskless private sphere,” resting on the safe possession of their “private property,” staying out of political controversies, yielding political ground to increasingly pathological narratives and persons. At long last this “riskless private sphere” is no longer safe. The exits have been blocked. A confrontation is now unavoidable.” ― J.R. Nyquist tags: ayn-rand, libertarianism 0 likes in my quotes “There is a silver lining to all this, according to Jean Bodin. If an insurrection fails, its poison is purged from the body politic. A deluded mob can be cured once its ringleaders are apprehended. And who are these ringleaders, in truth? At beginning of Bodin’s book, On Sovereignty, there is a listing of principles necessary to a well-ordered commonwealth. The cornerstone of these principles might surprise you. In the first place, wrote Bodin, right ordering involves distinguishing “a commonwealth from a band of thieves or pirates. With them one should have neither intercourse, commerce, nor alliance.” ― J.R. Nyquist tags: ayn-rand, libertarianism 0 likes in my quotes “Since most whites are ashamed of America’s past treatment of blacks, they are susceptible to “white guilt.” This guilt is now being exploited to advance a communist agenda, as opposed to the color-blind agenda envisioned by conservatives. The political significance of this cannot be underestimated. According to Trevor Loudon, the organizations behind today’s revolutionary unrest are Maoist; that is, they are ideologically allied with the Chinese Communists in Beijing.

A century ago, as physicians were slowly professionalizing and medicine was on the cusp of becoming scientific, a Boston doctor named Ernest Amory Codman had an idea similar in spirit to forecaster scorekeeping. He called it the End Result System. Hospitals should record what ailments incoming patients had, how they were treated, and—most important—the end result of each case. These records should be compiled and statistics released so consumers could choose hospitals on the basis of good evidence. Hospitals would respond to consumer pressure by hiring and promoting doctors on the same basis. Medicine would improve, to the benefit of all. “Codman’s plan disregarded a physician’s clinical reputation or social standing as well as bedside manner or technical skills,” noted the historian Ira Rutkow. “All that counted were the clinical consequences of a doctor’s effort.”8 Today, hospitals do much of what Codman demanded, and more, and physicians would find it flabbergasting if anyone suggested they stop. But the medical establishment saw it differently when Codman first proposed the idea.

Action: Open Todoist and create a new project called Reviews (or you can call it Coram Deo). This project will not fall into any of your areas of responsibility, but will exist alongside them. Within the project add 6 tasks: [Get Focused] Pray [Get Clear] Bring: Task Inbox to 0 [Get Current] Check: Calendar & Alerts [Get Current] Check: Waiting for [Get Current] Check: Forecast for Next 7 days [Get Going] Choose: Today’s top tasks Set each task to repeat every day at or before the time you begin your workday. You can do so by clicking on the task and, where you see the words “no due date,” simply type “every day at 6 am” or “daily at 9 am.

A WORLD OF SLOWER GROWTH AND HIGHER INFLATION If triple-digit oil prices are the true culprit behind the recent recession, what happens if oil prices recover to triple-digit levels or even close to them when the economy recovers? Does the economy slip right back into recession again? Everything else being equal—or ceteris paribus, as they say in the economics textbooks—that’s probably as good a forecast as any. Every oil shock has produced a global recession, and the record price increase of the past few years may produce the biggest one of all. But recessions, no matter how severe, are finite events. Ultimately, we face a far more challenging economic verdict from oil. Any way you cut it, a return to triple-digit oil prices means a much slower-growing world economy than before. And not just for a couple of quarters of recession. That’s because virtually every dollar of world GDP requires energy to produce. Not all of that energy, of course, comes from oil, but far too much does for world GDP not to be affected by oil’s growing scarcity. And there is nothing at the end of the day that we can do about depletion. Big tax cuts and big spending increases can mitigate triple-digit oil’s bite, but the deficits they inevitably produce ultimately lead to tax hikes and spending cuts that just make the suffering all the more painful down the road. Taking out a loan to pay your mortgage might defer your problems for a month or so, but in the end, it often makes your difficulties more acute. Borrowing from the future just turns today’s problems into tomorrow’s, and by the time tomorrow comes, they’ve become a lot bigger than if we had dealt with them today. Trillion-dollar-plus deficits, just like a near-zero percent federal funds rate, can mask the impact of high energy prices for a while, but ultimately they can’t protect economies that still run on oil from the impact of higher energy prices and the toll that they take.

HouJeng provides expert betting picks and tips for horse races around Hong Kong using artificial intelligence. We Are A Collective Of Data Analysts And Machine Learning Enthusiasts. We Enjoy The Complexities Of Data Forecasting And Data Analysis. Boost your horse racing betting with our horse racing betting tips for today.

Neither past nor present, but the FUTURE has become the key to y’our existence, today. As without a future there is no meaning to life.

Neither past nor present, but the FUTURE has become the key to y’our existence, today. As without a future there is no meaning to life.

Most tools from general management are not designed to flourish in the harsh soil of extreme uncertainty in which startups thrive. The future is unpredictable, customers face a growing array of alternatives, and the pace of change is ever increasing. Yet most startups—in garages and enterprises alike—still are managed by using standard forecasts, product milestones, and detailed business plans.

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.

Unfortunately, standard accounting is not helpful in evaluating entrepreneurs. Startups are too unpredictable for forecasts and milestones to be accurate.

Microsoft Dynamics 365 Supply Chain Management Solutions Optimize your supply chain with Dynamics 365 Supply Chain Management. Our Microsoft expertise ensures efficient supply chain management. Introduction to Dynamics 365 Supply Chain Management In today's fast-paced business environment, managing a supply chain efficiently is crucial for success. Microsoft Dynamics 365 Supply Chain Management offers a comprehensive solution designed to streamline and enhance your supply chain operations. With our expertise in Microsoft technologies, we can help you achieve operational excellence and meet your business goals. Key Features of Dynamics 365 Supply Chain Management End-to-End Visibility: Gain complete visibility into your supply chain processes, from procurement to delivery. Real-Time Insights: Utilize advanced analytics and AI to make data-driven decisions. Seamless Integration: Integrate seamlessly with other Microsoft Dynamics 365 applications and third-party systems. Scalability: Easily scale your operations as your business grows. Enhanced Collaboration: Improve collaboration across departments with a unified platform. Benefits of Using Dynamics 365 Supply Chain Management Increased Efficiency: Automate and optimize your supply chain processes to reduce manual efforts and errors. Cost Savings: Identify cost-saving opportunities through better inventory management and demand forecasting. Improved Customer Satisfaction: Ensure timely delivery and high-quality products to enhance customer satisfaction. Risk Management: Mitigate risks by monitoring and managing potential disruptions in real-time. Why Choose Us? With our extensive experience in Microsoft Dynamics 365, we are committed to providing top-notch supply chain management solutions tailored to your business needs. Our team of experts will work with you to implement and optimize Dynamics 365 Supply Chain Management, ensuring you get the most out of your investment. Get Started Today Transform your supply chain with Dynamics 365 Supply Chain Management. Contact us today to learn more about how we can help you achieve a more efficient and effective supply chain.

there is no other way to produce a forecast without being a turkey somewhere, particularly in the complex environment in which we live today.

The system of profit equations that Jerome Levy wrote down in 1914 anticipated a similar set of equations written down by the Polish economist Michal Kalecki in 1935. And Kalecki’s system is regarded by a lot of people as containing nearly all of what’s useful in J. M. Keynes’ General Theory of Employment, Interest and Money, published in 1936 and widely accepted as one of the greatest works of economics ever. Levy went on to demonstrate that the proverb ‘if you’re so smart, why aren’t you rich?’ was not applicable in this case; aided by his sons, the Levy family went into finance with sufficient success that the Jerome Levy Forecasting Institute they endowed at Bard College continues to promote their approach to economics today. You used to be able to buy a copy of the book Jerome wrote in 1943, Economics Is an Exact Science, from them; I got mine in about 2002. In the introduction to that book, Levy sets out his view of the purpose of capitalism: The working class is the original and fundamental economic class . . . The function of the investing class is to serve the members of the working class by insuring them against loss and by providing them with desired goods. The justification for the existence of the investing class is the service it renders the working class, measured in terms of wages and desired goods. The contrary is not true. The working class does not exist to serve the investing class. The working class has the right to insure itself through organizations composed of its members or through government, thereby eliminating the investing class.

Validated learning is the process of demonstrating empirically that a team has discovered valuable truths about a startup’s present and future business prospects. It is more concrete, more accurate, and faster than market forecasting or classical business planning. It is the principal antidote to the lethal problem of achieving failure: successfully executing a plan that leads nowhere.

Or take the stock market. The valuation of every company is simply a number from today multiplied by a story about tomorrow. Some companies are incredibly good at telling stories, and during some eras investors become captivated by the wildest ideas of what the future might bring. If you’re trying to figure out where something is going next, you have to understand more than its technical possibilities. You have to understand the stories everyone tells themselves about those possibilities, because it’s such a big part of the forecasting equation.

Creating an algorithmic trading system should be every trader's goal. Yet, developing a trading system can be overwhelming since it involves several moving parts. Another challenge is that today's markets require an algorithm that adapts to different market conditions. In "Algorithmic Trading 101" Jacinta Chan sets you up by starting with the basics and walking you through the process, step-by-step. She touches on all aspects of a trading system. After going through the entire process detailed in the book, the trader will be ready to develop a customized trading system that follows the principles of professional traders." Jayanthi Gopalakrishnan,  Director, Site Content  StockCharts.com

Today, much attention is devoted to assessing the likely impact of rapid economic growth in China, where demand for luxury goods is forecast to quadruple in the next decade, or to considering social change in India, where more people have access to a mobile phone than to a flushing toilet.

Today’s forecast did not call for—or in any way predict—me fucking Cecelia Horner. But it didn’t feel like fucking. What that felt like was . . . otherworldly.

Consulting Sample Business Plans If you need a first-class Business Plan, Pitch Deck, or Financial Forecast, let us help. Talk to an expert startup business plan consultant today! Our business plan consultants will create a business strategy that will impress your investors. We provide unique and affordable Business Plan Writing Solutions delivered through a high level of quality service ensuring total client satisfaction. Business Solutions Consulting (BSC) is a start-up consulting firm focused on serving the comprehensive needs of businesses in the full range of the business cycle. Consultants need business plans too! Check out these sample business plans for consultants and consulting related businesses. An outline of some of the key pieces that should be in your plan, including an executive summary, business overview, risks, financial plan, and other key sections for your consulting company business plan.

THE FIRST STEP of forecasting the future requires a trip to the fringes of science, technology, design, and society,

As the ancients tried to understand the forces they encountered in the natural world, they invented personal names for them, much as weather forecasters still do with hurricanes. Further, they unconsciously projected their own consciousness into these storms and other natural phenomena. This is how the human mind first came to create the idea of personal spirits and gods; they were a class of unseen beings that were thought to be responsible for everything that happened in the natural world. We can easily understand how and why the ancients arrived at their polytheistic world-view, because even today we might find a two-year-old who hits his head on the table corner turning round to address the offending object by saying, ‘You naughty table!

Have you been crying?” She glanced away. “I’m sorry. I had one of those days.” He put his thumb and forefinger on her chin and pulled her eyes back to his. “What’s up?” he asked softly. “Need to talk about it?” “No,” she said, shaking her head. “I know you don’t want to—” “It’s okay. What made you cry? Homesick? Lonesome?” She took a deep breath. “It was a year ago today. Snuck up on me, I guess.” “Ah,” he said. He put his big arms around her. “That would make some tears, I guess. I’m sorry, Marcie. I’m sure it still hurts sometimes.” “That’s just it—it doesn’t exactly hurt. It’s just that I feel so useless.” She leaned against him. “Sometimes I feel all alone. I have lots of people in my life and can still feel so alone without Bobby.” She laughed softly. “And God knows, he wasn’t much company.” He tightened his embrace. “I think I understand.” Yeah, she thought, he might. Here was a guy who was around people regularly, yet completely unconnected to them. She pulled away and asked, “Why did you do this?” “I thought I could clean up a little and take you somewhere.” “Wait. You didn’t think I needed you to do this for me, did you? Because of Erin?” He laughed, and she could actually see the emotion on his face, given the absence of wild beard. “Actually, if you’d asked me to, I probably wouldn’t have. You really think you can match me for stubborn? Probably not. I kept the beard because of the scar,” he said, leaning his left cheek toward her. “That, and maybe a bit of attitude of who cares?” She gently fingered the beard apart to reveal a barely noticeable scar. “It’s hardly there at all. Ian, it’s only a thin line. You don’t have to cover it. You’re not disfigured.” She smiled at him. “You’re handsome.” “Memories from the scar, probably. Anyway, tonight is the truckers’ Christmas parade. A bunch of eighteen-wheelers in the area dress up their rigs and parade down the freeway. I see it every year—fantastic. You think you’re up to it? With it being that anniversary?” “Maybe it’s a good idea,” she said. “Getting out, changing the mood.” “We’ll eat out and—” “What’s all this?” she asked, looking at the bags and boxes. “Snow’s forecast. It’s just what you do up here. Be ready. But this time I got some different things, in case you’re sick of stew. And I never do this—but you’re a girl, so I bought some fresh greens. And fresh eggs. Just enough to last a couple of days. No fridge; and they’ll freeze if we leave ’em in the shed.” “Ian, what about the bathroom? What will we do about the bathroom if there’s a heavy snow?” He laughed at her. “No problem. We’ll tromp out there fine—but I’ll shovel a path. And I’ll plow out to the road, but it’s slow going and if the snow keeps coming, it’s going to be even slower.” “Wow. Is it safe to leave tonight? For the parade? Will we get back in?” “We don’t have blizzards, Marcie. Snow falls slow, but steady. Now, I’m thinking bath day. How about you?” She put her hands on her hips and looked up at him with a glare. “All right, be very careful here. I’ve had my bath. And a hair wash. I’m wearing makeup, Ian. Jesus. You wanna try to clean me up?” His eyes grew large for a moment. Then he said. “Bath day for me, I meant. I knew. You look great.” His thumb ran along her cheek under one eye. “Just a couple of tear marks, but you can take care of that. Let me put this stuff away and get my water ready. You have something to read? Or are you looking for the thrill of your life?” “I have something to read,” she said. And, she thought, at the end of the day, they all turn out to be just men. *

Today hasn’t started particularly well, and my schedule only forecasts worse. I have five hours of work this afternoon and several projects due in the next two days. Before I can tackle any of that, there’s the pesky issue of three hours of morning classes. I’ll be lucky to sleep before midnight. But counterbalancing that undoubtedly depressing list is one bright beacon: I’m wearing my favorite sweater.

A low current stock price forecasts a low future price. If today’s price is low, there is a good reason to buy more (it’s cheap) and also a good reason to buy less (it’s likely to stay cheap). The two reasons cancel out and make “buying more when the price is low” no more attractive than “buying more when the price is high.

It was the missionaries who became the brave storm troopers of Christianity, slashing their way through jungles, going where no one had gone before. Mission was now reserved for work among the unreached nations and no longer simply happened next door or around the corner. But the churches that had outsourced their missionary activity to the mission societies tended to drift languidly into the role of fund-raiser for the mission societies. This dilemma was seriously exacerbated when, after World War II, a number of parachurch societies, mainly aimed at reaching young people, were formed. These included Youth for Christ, the Navigators, Campus Crusade for Christ, and so on, and were aimed at reaching students and teens right under the noses of existing churches. Once again, mission was outsourced to specialist agencies, leaving the local church focused primarily around pastoral issues and Sunday worship. Not only did this create the great stepchild, the parachurch, it crippled the church’s witness beyond the Sunday gathering. And again, given the significant cultural effect of the postwar baby boom, we understand the historical reasons why such specialization of local mission occurred. But it only deepened the cleft between missionary activity and church activity. Again, long before all this happened, Roland Allen was deeply concerned. We may compare the relation of the societies to the Church with the institution of divorce in relation to marriage. Just as divorce was permitted for the hardness of men’s hearts because they were unable to observe the divine institution of marriage in its original perfection, so the organization of missionary societies was permitted for the hardness of our hearts, because we had lost the power to appreciate and to use the divine organization of the Church in its simplicity for the purpose for which it was first created.[155] In the end Allen himself despondently capitulated to this great divorce, concluding that “the divine perfection of the Church as a missionary society cannot be recovered simply by abolishing the missionary societies, and saying, let the Church be her own missionary society.”[156] Maybe not in 1926, but today there is an increasing unease with this “divorce” between mission and church. Allen was ahead of his time. He forecast the situation we now find ourselves in—with missionless churches and churchless missions, and neither one being all it should be. We contend that the whole missional church conversation was one that the church has been building toward for over a century. And now is the time to have it. A new generation of young Christians is desperate for the adventure of mission. They were raised in the hermetically sealed environment of missionless church, and those who have emerged with their faith still intact are hungry for the risk and ordeal that only true missional activity can offer.

Instead, recognize that investing intelligently is about controlling the controllable. You can’t control whether the stocks or funds you buy will outper-forms the market today, next week, this month, or this year; in the short run, your returns will always be hostage to Mr. Market and his whims. But you can control: your brokerage costs, by trading rarely, patiently, and cheaply your ownership costs, by refusing to buy mutual funds with excessive annual expenses your expectations, by using realism, not fantasy, to forecast your returns7 your risk, by deciding how much of your total assets to put at hazard in the stock market, by diversifying, and by rebalancing your tax bills, by holding stocks for at least one year and, whenever possible, for at least five years, to lower your capital-gains liability and, most of all, your own behavior.

Extremists with malicious tendencies…have always been with us, but today our culture is saturated with misinformation and conspiracy theories. Even when falsehoods don’t contribute to bloodshed, they frighten people and turn us against one another. The decline and respect for objective truth and facts, means we lack a stable underpinning on which to base our debates and ultimately out decisions. When I was a journalist starting out in Bosnia, I viewed the conflict there as a last gasp of ethnic chauvinism and demagoguery from a bygone era. Unfortunately, it now seems more like a harbinger of the way today’s autocrats and opportunists conjure up internal or external threats in order to expand their own power. Those of us who reject these tactics have yet to figure out how to assuage the fears of those who have been shaken or radicalized by false claims. While my generation was often told about the impending triumph of democracy and human rights, today’s youth are bombarded with commentary forecasting the retreat of liberal democracy or even its demise. A growing mistrust in democratic institutions breeds cynicism about politics and America’s future and encourages an inward focus.

If you want to learn more about the zodiac by examining all of the many branches of astrology, don’t skip this article. Astrology has grown in popularity since ancient times. When people interpreted the position of the stars concerning agricultural necessities and told stories around the fireplace inspired by the cosmos. It has developed in many different directions over time to meet the varying needs of humanity. As an immensely strong tool for self-discovery and all types of forecasting. Branches of astrology have served as anything from a king’s electoral tool to a beacon of hope for people in need. Its dark ages and degeneration turned out to have a positive impact on it as well. As it is today stronger than it has ever been, with a wide range of products and ways to meet every demand that arises.

According to research from the Sales Benchmark Index, 60 percent of all forecasted opportunities are lost to “no decision.

Making specific forecasts in uncertain situations was, is, and will always be problematic and often misleading. This lesson stands today. The bigger the potentially threatened population, the earlier the risk discussion must begin because preparation is more complicated. The earlier the alarm is raised, however, the more often, in the end, preparation will not have been not required.

demanded. Starting in the 1950s, however, as computers became more powerful, scientists found they could use Bayesian approaches to forecast events that were previously thought unpredictable, such as the likelihood of a war, or the odds that a drug will be broadly effective even if it has only been tested on a handful of people. Even today, though, calculating a Bayesian probability curve can, in some cases, tie up a computer for hours.

We misidentify trends (or miss them altogether) when we focus exclusively on technology, when the other factors in play are seemingly unrelated, or when the adjacent sources of change aren’t part of a compelling narrative. Forecasting the future doesn’t always yield headline-worthy results, even if certain trends promise to change how we live on this planet.

Regardless of the industry or circumstances, one forecast has always been right throughout history: technology will advance, it will invariably intersect with other sources of change within society, and trends are the signposts showing us how changes will manifest in real life.

THE FIRST STEP of forecasting the future requires a trip to the fringes of science, technology, design, and society, to where unusual experimentation is taking place. For it’s at the fringe that all trends are born.

The “edge” for Nicolelis is what I call “the fringe.” It’s that place where scientists, artists, technologists, philosophers, mathematicians, psychologists, ethicists, and social science thinkers are testing seemingly bizarre hypotheses, undertaking wildly creative research, and trying to discover new kinds of solutions to the problems confronting humanity. Finding fringe thinkers is the first part of the forecasting process.

THE FINAL STEP of our forecasting process is to pressure-test any strategy created to address a technology trend. Scenarios, as we’ve seen, help inform strategy; they fill in the necessary details in order to tell a complete story. However, in our zeal to pursue what’s new and what’s next, critical questions and details can be overlooked.

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. Politics, too, is a second-order chaotic system. Many people criticise Sovietologists for failing to predict the 1989 revolutions and castigate Middle East experts for not anticipating the Arab Spring revolutions of 2011. This is unfair. Revolutions are, by definition, unpredictable. A predictable revolution never erupts.

There’s a stable, robust relationship between the patterns you’ve seen before and what you encounter today. But if you’re a stockbroker or political forecaster, the events of the past don’t have reliable implications for the present. Kahneman and Klein review evidence that experience helps physicists, accountants, insurance analysts, and chess masters—they all work in fields where cause-and-effect relationships are fairly consistent. But admissions officers, court judges, intelligence analysts, psychiatrists, and stockbrokers didn’t benefit much from experience. In a rapidly changing world, the lessons of experience can easily point us in the wrong direction.

Be wary, however, when you come across phrases like “the computer thinks the Yankees will win the World Series.” If these are used as shorthand for a more precise phrase (“the output of the computer program is that the Yankees will win the World Series”), they may be totally benign. With all the information in the world today, it’s certainly helpful to have machines that can make calculations much faster than we can. But if you get the sense that the forecaster means this more literally—that he thinks of the computer as a sentient being, or the model as having a mind of its own—it may be a sign that there isn’t much thinking going on at all. Whatever biases and blind spots the forecaster has are sure to be replicated in his computer program. We have to view technology as what it always has been—a tool for the betterment of the human condition. We should neither worship at the altar of technology nor be frightened by it. Nobody has yet designed, and perhaps no one ever will, a computer that thinks like a human being.49 But computers are themselves a reflection of human progress and human ingenuity: it is not really “artificial” intelligence if a human designed the artifice.

Moderate P/E ratio. Graham recommends limiting yourself to stocks whose current price is no more than 15 times average earnings over the past three years. Incredibly, the prevailing practice on Wall Street today is to value stocks by dividing their current price by something called “next year’s earnings.” That gives what is sometimes called “the forward P/E ratio.” But it’s nonsensical to derive a price/earnings ratio by dividing the known current price by unknown future earnings. Over the long run, money manager David Dreman has shown, 59% of Wall Street’s “consensus” earnings forecasts miss the mark by a mortifyingly wide margin—either underestimating or overestimating the actual reported earnings by at least 15%.2 Investing your money on the basis of what these myopic soothsayers predict for the coming year is as risky as volunteering to hold up the bulls-eye at an archery tournament for the legally blind. Instead, calculate a stock’s price/earnings ratio yourself, using Graham’s formula of current price divided by average earnings over the past three years.3 As of early 2003, how many stocks in the Standard & Poor’s 500 index were valued at no more than 15 times their average earnings of 2000 through 2002? According to Morgan Stanley, a generous total of 185 companies passed Graham’s test.

With extraordinary prescience, Churchill then made another point, full of foreboding. ‘There is a danger,’ he warned, ‘of the odious conditions now ruling in Germany being extended by conquest to Poland, and another persecution and pogrom of Jews being begun in this new area.’6 There were six hundred thousand Jews in Germany in 1933, and more than three million in Poland. At a time when most British politicians doubted Germany’s aggressive intentions, Churchill’s forecast seemed far-fetched. Within ten years it had come to pass. The Nazis, who were assiduously courting Western opinion, were angered by Churchill’s speech, especially his censure of their anti-Jewish measures. On 19 April a correspondent of the Birmingham Post reported from Berlin: ‘Today newspapers are full with “sharp warnings” for England.’ One headline referred to ‘Mr Winston Churchill’s “impudence”’.

No one involved in the proposals and debate considered how restricting the airspace might impact us in ways that have nothing to do with midair collisions. They dealt with an issue in the present-day, but didn’t go through the process of forecasting likely developments that would intersect with this plan in the future.

1. Find the Fringe: Cast a wide enough net to harness information from the fringe. This involves creating a map showing nodes and the relationships between them, and rounding up what you will later refer to as “the unusual suspects.” 2. Use CIPHER: Uncover hidden patterns by categorizing data from the fringe. Patterns indicate a trend, so you’ll do an exhaustive search for Contradictions, Inflections, Practices, Hacks, Extremes, and Rarities. 3. Ask the Right Questions: Determine whether a pattern really is a trend. You will be tempted to stop looking once you’ve spotted a pattern, but you will soon learn that creating counterarguments is an essential part of the forecasting process, even though most forecasters never force themselves to poke holes into every single assumption and assertion they make. 4. Calculate the ETA: Interpret the trend and ensure that the timing is right. This isn’t just about finding a typical S-curve and the point of inflection. As technology trends move along their trajectory, there are two forces in play—internal developments within tech companies, and external developments within the government, adjacent businesses, and the like—and both must be calculated. 5. Create Scenarios and Strategies: Build scenarios to create probable, plausible, and possible futures and accompanying strategies. This step requires thinking about both the timeline of a technology’s development and your emotional reactions to all of the outcomes. You’ll give each scenario a score, and based on your analysis, you will create a corresponding strategy for taking action. 6. Pressure-Test Your Action: But what if the action you choose to take on a trend is the wrong one? In this final step, you must make sure the strategy you take on a trend will deliver the desired outcome, and that requires asking difficult questions about both the present and the future.

In physics, the Heisenberg uncertainty principle states that you can never know both the exact position and the exact speed of an object—essentially, everything influences everything else.67 (For example, to know the velocity of a quark, we have to measure it, and the very act of measuring it can affect it in some way.) If we subscribe to the laws of the universe, we must agree from the outset that there is no one, predetermined future, but rather a possibility of many futures, each depending on a variety of factors. Future forecasts are probabilistic in nature, in that we can determine the likelihood and direction of how technology will evolve. It is therefore possible to see elements of the future being woven in the present, as long as we know how to see the entire fabric at once, not just a small, finite piece of it.

This is forecasting: simultaneously recognizing patterns in the present, and thinking about how those changes will impact the future. You must flip the paradigm, so that you can be actively engaged in building what happens next. Or at least so that you’re not as surprised by what others develop.

Forecasting the future requires a certain amount of mental ambidexterity. Just as a piano player must control her left and right hands as she glides around the keyboard playing Monk, you need to learn how to think in two ways at once—both monitoring what’s happening in the present and thinking through how the present relates to the future.

The car is only one of many clues we must consider, starting with what is arguably a more important question: Why would an internet company build a car that can drive itself? In forecasting, the second step tells us that we need to do some more digging. Why is Google—a nineteen-year-old company that for much of its history has specialized only in products to help us use the web better—hiring teams of researchers to develop self-driving cars?

How did those in the highest ranks of the scientific community, the science journalists, and those in government charged with tracking these sorts of discoveries miss it again? The answer is simple: they weren’t following the forecasting methodology and monitoring the fringe.

what’s beyond the horizon. The fringe sketch is an outline of what and why, not how. Which is to say that now is not the time for process thinking, ruminating over procedures, or questioning whether something can actually be done. At this point in the forecasting process, our job is to expand our field of vision to include all of the unusual suspects and their work. Before starting a fringe sketch, it’s important to observe a few rules: 1. Include theoretical or even poor information. 2. Assume that a present-day obstacle might be overcome in the future. 3. Assume that if something can be hacked (or adapted for a slightly different use), it will.

organization and its ability to forecast the future. Within every organization are people whose dominant characteristic is either creativity or logic. If you’ve been on a team that includes both groups and didn’t have a great facilitator during your meetings, you probably clashed.

The duality dilemma was responsible for a lack of forward-thinking at BlackBerry, which never had an executable plan to remake the phone’s form factor and operating system. Right-brained staff wanted to make serious changes to the phone, while left-brained staff were fixated on risk and maintaining BlackBerry’s customer base. The future of the company hinged on its ability to bring both forces together to forecast trends and plan for the future.

The duality dilemma was responsible for a lack of forward-thinking at BlackBerry, which never had an executable plan to remake the phone’s form factor and operating system. Right-brained staff wanted to make serious changes to the phone, while left-brained staff were fixated on risk and maintaining BlackBerry’s customer base. The future of the company hinged on its ability to bring both forces together to forecast trends and plan for the future. Overcoming the duality dilemma is possible, and it’s a matter of highlighting—rather than discouraging or downplaying—the strengths of both sides. The Hasso Plattner Institute of Design at Stanford University (also known as “the d.school”) teaches a practice that addresses the duality dilemma and illuminates how an organization can harness both strengths in equal measure, alternately broadening (“ flaring”) or narrowing (“ focusing”) its thinking. 2

Forecasting the future is a matter of listening to, recognizing, and acting on signals. Every step isn’t entirely about logic and data—the process also requires active dreaming and creativity. Rather than prophesying, seeing trends is a matter of looking for emerging changes at the fringe, within organizations, and in our societies. It cannot be relegated to inventive visionaries, nor can it be mapped entirely by left-brain thinkers. Great trends forecasting unites opposing forces, harnessing both wild imagination and pragmatism.

The logical next step after determining where a trend is on its trajectory is to follow with an “if this, then that” statement. Step five of our forecasting method is to use Kahn’s technique of storytelling and put the facts into a narrative context to develop possible scenarios for the future. Our goal isn’t to predict something that will definitely happen. Instead, we must envision all of the possible outcomes and use them to help us make an informed decision about strategy to employ in the present.

If you were to zoom way out and look at the six steps of my forecasting method, you would see this duality in play. It’s not a happy accident. Scientific and technological advances depend on both ingenuity and rigorous evaluation. The future of our culture—how we communicate, work, shop, play games, and take care of ourselves—necessarily intersects with the future of science and technology. Daydreaming alone won’t bring new ideas to market; ideas require process engineering and budgeting before they can become tangible. However, too much emphasis on logic and linear thinking will kill moonshots while they’re still on the whiteboard. That is why it’s important to afford equal treatment to each hemisphere, alternating between broad creative thinking and more pragmatic, analytical assessment. When executed completely, the forces are balanced, allowing for innovation while ensuring a check-and-balance system for the future.

Amazon’s founder, Jeff Bezos, has said that when mapping the future, leaders must “be stubborn on vision but flexible on details.”1 You may have correctly forecast a new trend and set a course of action; now, you must explore the particulars of that course, looking for possible roadblocks.