Graph Best Quotes

Whether we accept it or not, this will likely be the century that determines what the optimal human population is for our planet. It will come about in one of two ways: Either we decide to manage our own numbers, to avoid a collision of every line on civilization's graph - or nature will do it for us, in the form of famines, thirst, climate chaos, crashing ecosystems, opportunistic disease, and wars over dwindling resources that finally cut us down to size.

I believe in schedules, routines, washi-tape-covered calendars, bulleted lists in graph-paper journals, and best-laid plans.

When an invading force crosses a river in its onward march, do not advance to meet it in mid-stream. It will be best to let half the army get across, and then deliver your attack.

Any time that we move from personal names to abstract labels or graphs or statistics, we are less in touch with reality and diminished in our capacity to deal with what is best and at the center of life. Yet we are encouraged on every side to do just that.

I say is someone in there?’ The voice is the young post-New formalist from Pittsburgh who affects Continental and wears an ascot that won’t stay tight, with that hesitant knocking of when you know perfectly well someone’s in there, the bathroom door composed of thirty-six that’s three times a lengthwise twelve recessed two-bevelled squares in a warped rectangle of steam-softened wood, not quite white, the bottom outside corner right here raw wood and mangled from hitting the cabinets’ bottom drawer’s wicked metal knob, through the door and offset ‘Red’ and glowering actors and calendar and very crowded scene and pubic spirals of pale blue smoke from the elephant-colored rubble of ash and little blackened chunks in the foil funnel’s cone, the smoke’s baby-blanket blue that’s sent her sliding down along the wall past knotted washcloth, towel rack, blood-flower wallpaper and intricately grimed electrical outlet, the light sharp bitter tint of a heated sky’s blue that’s left her uprightly fetal with chin on knees in yet another North American bathroom, deveiled, too pretty for words, maybe the Prettiest Girl Of All Time (Prettiest G.O.A.T.), knees to chest, slew-footed by the radiant chill of the claw-footed tub’s porcelain, Molly’s had somebody lacquer the tub in blue, lacquer, she’s holding the bottle, recalling vividly its slogan for the past generation was The Choice of a Nude Generation, when she was of back-pocket height and prettier by far than any of the peach-colored titans they’d gazed up at, his hand in her lap her hand in the box and rooting down past candy for the Prize, more fun way too much fun inside her veil on the counter above her, the stuff in the funnel exhausted though it’s still smoking thinly, its graph reaching its highest spiked prick, peak, the arrow’s best descent, so good she can’t stand it and reaches out for the cold tub’s rim’s cold edge to pull herself up as the white- party-noise reaches, for her, the sort of stereophonic precipice of volume to teeter on just before the speaker’s blow, people barely twitching and conversations strettoing against a ghastly old pre-Carter thing saying ‘We’ve Only Just Begun,’ Joelle’s limbs have been removed to a distance where their acknowledgement of her commands seems like magic, both clogs simply gone, nowhere in sight, and socks oddly wet, pulls her face up to face the unclean medicine-cabinet mirror, twin roses of flame still hanging in the glass’s corner, hair of the flame she’s eaten now trailing like the legs of wasps through the air of the glass she uses to locate the de-faced veil and what’s inside it, loading up the cone again, the ashes from the last load make the world's best filter: this is a fact. Breathes in and out like a savvy diver… –and is knelt vomiting over the lip of the cool blue tub, gouges on the tub’s lip revealing sandy white gritty stuff below the lacquer and porcelain, vomiting muddy juice and blue smoke and dots of mercuric red into the claw-footed trough, and can hear again and seems to see, against the fire of her closed lids’ blood, bladed vessels aloft in the night to monitor flow, searchlit helicopters, fat fingers of blue light from one sky, searching.

In 7.81 square miles of vaunted black community, the 850 square feet of Dum Dum Donuts was the only place in the "community" where one could experience the Latin root of the word, where a citizen could revel in common togetherness. So one rainy Sunday afternoon, not long after the tanks and media attention had left, my father ordered his usual. He sat at the table nearest the ATM and said aloud, to no one in particular, "Do you know that the average household net worth for whites is $113,149 per year, Hispanics $6,325, and black folks $5,677?" "For real?" "What's your source material, nigger?" "The Pew Research Center." Motherfuckers from Harvard to Harlem respect the Pew Research Center, and hearing this, the concerned patrons turned around in their squeaky plastic seats as best they could, given that donut shop swivel chairs swivel only six degrees in either direction. Pops politely asked the manager to dim the lights. I switched on the overhead projector, slid a transparency over the glass, and together we craned our necks toward the ceiling, where a bar graph titled "Income Disparity as Determined by Race" hovered overhead like some dark, damning, statistical cumulonimbus cloud threatening to rain on our collective parades. "I was wondering what that li'l nigger was doing in a donut shop with a damn overhead projector.

There is an old debate," Erdos liked to say, "about whether you create mathematics or just discover it. In other words, are the truths already there, even if we don't yet know them?" Erdos had a clear answer to this question: Mathematical truths are there among the list of absolute truths, and we just rediscover them. Random graph theory, so elegant and simple, seemed to him to belong to the eternal truths. Yet today we know that random networks played little role in assembling our universe. Instead, nature resorted to a few fundamental laws, which will be revealed in the coming chapters. Erdos himself created mathematical truths and an alternative view of our world by developing random graph theory. Not privy to nature's laws in creating the brain and society, Erdos hazarded his best guess in assuming that God enjoys playing dice. His friend Albert Einstein, at Princeton, was convinced of the opposite: "God does not play dice with the universe.

Who am I? What should I do in life? What is the meaning of life? Humans have been asking these questions from time immemorial. Every generation needs a new answer, because what we know and don’t know keeps changing. Given everything we know and don’t know about science, about God, about politics and about religion – what is the best answer we can give today? What kind of an answer do people expect? In almost all cases, when people ask about the meaning of life, they expect to be told a story. Homo sapiens is a storytelling animal, that thinks in stories rather than in numbers or graphs, and believes that the universe itself works like a story, replete with heroes and villains, conflicts and resolutions, climaxes and happy endings. When we look for the meaning of life, we want a story that will explain what reality is all about and what is my particular role in the cosmic drama. This role defines who I am, and gives meaning to all my experiences and choices. One popular story, told for thousands of years to billions of anxious humans, explains that we are all part of an eternal cycle that encompasses and connects all beings. Each being has a distinctive function to fulfil in the cycle. To understand the meaning of life means to understand your unique function, and to live a good life means to accomplish that function.

Or, stated in a familiar way, increasing cognitive load* should make people more conservative. This is precisely the case. The time pressure of snap judgments is a version of increased cognitive load. Likewise, people become more conservative when tired, in pain or distracted with a cognitive task, or when blood alcohol levels rise. Recall from chapter 3 that willpower takes metabolic power, thanks to the glucose demands of the frontal cortex. This was the finding that when people are hungry, they become less generous in economic games. A real-world example of this is startling (see graph on previous page)—in a study of more than 1,100 judicial rulings, prisoners were granted parole at about a 60 percent rate when judges had recently eaten, and at essentially a 0 percent rate just before judges ate (note also the overall decline over the course of a tiring day). Justice may be blind, but she’s sure sensitive to her stomach gurgling.

Guideline #7: Be professionally innovative and different. Yes, you can use pictures, graphics, and graphs on your résumé. Yes, you can use color, shading, and boxes so messages JUMP OFF THE PAGE! Yes, you can include short references or testimonials within the résumé itself. That being said, you must know your audience and play to their emotions and expectations. Some forums still require a more traditional presentation. Be as bold and innovative as you can without coming across as gimmicky or amateurish. Be confidently courageous and professionally astute.

Early on, the best predictor of a relationship doesn’t depend on the couple’s social graph at all; for the first year or so of dating, the optimal method is how often they view each other’s profile.

Correlations made by big data are likely to reinforce negative bias. Because big data often relies on historical data or at least the status quo, it can easily reproduce discrimination against disadvantaged racial and ethnic minorities. The propensity models used in many algorithms can bake in a bias against someone who lived in the zip code of a low-income neighborhood at any point in his or her life. If an algorithm used by human resources companies queries your social graph and positively weighs candidates with the most existing connections to a workforce, it makes it more difficult to break in in the first place. In effect, these algorithms can hide bias behind a curtain of code. Big data is, by its nature, soulless and uncreative. It nudges us this way and that for reasons we are not meant to understand. It strips us of our privacy and puts our mistakes, secrets, and scandals on public display. It reinforces stereotypes and historical bias. And it is largely unregulated because we need it for economic growth and because efforts to try to regulate it have tended not to work; the technologies are too far-reaching and are not built to recognize the national boundaries of our world’s 196 sovereign nation-states. Yet would it be best to try to shut down these technologies entirely if we could? No. Big data simultaneously helps solve global challenges while creating an entirely new set of challenges. It’s our best chance at feeding 9 billion people, and it will help solve the problem of linguistic division that is so old its explanation dates back to the Old Testament and the Tower of Babel. Big data technologies will enable us to discover cancerous cells at 1 percent the size of what can be detected using today’s technologies, saving tens of millions of lives. The best approach to big data might be one put forward by the Obama campaign’s chief technology officer, Michael Slaby, who said, “There’s going to be a constant mix between your qualitative experience and your quantitative experience. And at times, they’re going to be at odds with each other, and at times they’re going to be in line. And I think it’s all about the blend. It’s kind of like you have a mixing board, and you have to turn one up sometimes, and turn down the other. And you never want to be just one or the other, because if it’s just one, then you lose some of the soul.” Slaby has made an impressive career out of developing big data tools, but even he recognizes that these tools work best when governed by human judgment. The choices we make about how we manage data will be as important as the decisions about managing land during the agricultural age and managing industry during the industrial age. We have a short window of time—just a few years, I think—before a set of norms set in that will be nearly impossible to reverse. Let’s hope humans accept the responsibility for making these decisions and don’t leave it to the machines.

3. Develop a personal learning style Having known your personal profile, you can pick the learning style that can give you the most benefits. There are three common types of learning styles; Visual, Auditory and Kinesthetic. By identifying the learning style that best suit your profile, you will be able to maximize your strengths and compensate for your weaknesses. Visual Learning – If your dyslexia isn’t anything related to your visual processing or any visual dyslexia, this learning type may just suit you. Visual learners like to see things with the eyes. They likely think in pictures and uses different illustrations, diagrams, charts, graphs, videos and mind maps when they study. If you are a visual learner it will be useful to rewrite notes, put information on post-it notes and stick it everywhere, and to re-create images in the mind. Auditory Learning – Auditory learners, on the other hand, think in verbal words rather than in pictures. The best they can do to learn is to tape the information and replay it. It also helps if they discuss the materials that must be learned with others by participating in class discussions, asking questions to their teachers and even trying teaching others. It is also helpful to use audio books and read aloud when trying to memorize information. Kinesthetic Learning – Kinesthetic learners are those who are better to learn with direct exposure to the activity. They are the ‘hands-on’ people and learn best when they actually do something. For them, wiring a circuit board would be much more informative than listening to a lecture about circuits or reading a text book or about it. However, it may also help to underline important terms and meanings and highlight them with bright colors, write notes in the margin when learning from text and repeat information while walking. 4. Don’t force your mind Don’t force your mind to do something beyond your ability. Don’t force yourself to enter a library and finish reading a shelf of books in one day. Be patient on yourself. Take everything slowly and learn step by step. Do not also push yourself if you are not in the mood to read, it will just cause you unnecessary stress. 5.

Deutsch: Absolutely. Yes. Programs built in Python and Java—once you get past a certain fairly small scale—have all the same problems except for storage corruption that you have in C or C++. The essence of the problem is that there is no linguistic mechanism for understanding or stating or controlling or reasoning about patterns of information sharing and information access in the system. Passing a pointer and storing a pointer are localized operations, but their consequences are to implicitly create this graph. I'm not even going to talk about multithreaded applications—even in single-threaded applications you have data that's flowing between different parts of the program. You have references that are being propagated to different parts of the program. And even in the best-designed programs, you have these two or three or four different complex patterns of things that are going on and no way to describe or reason about or characterize large units in a way that actually constrains what happens in the small. People have taken runs at this problem. But I don't think there have been any breakthroughs and I don't think there have been any sort of widely accepted or widely used solutions.

What else should you watch for? Most fund buyers look at past performance first, then at the manager’s reputation, then at the riskiness of the fund, and finally (if ever) at the fund’s expenses.8 The intelligent investor looks at those same things—but in the opposite order. Since a fund’s expenses are far more predictable than its future risk or return, you should make them your first filter. There’s no good reason ever to pay more than these levels of annual operating expenses, by fund category: Taxable and municipal bonds: 0.75% U.S. equities (large and mid-sized stocks): 1.0% High-yield (junk) bonds: 1.0% U.S. equities (small stocks): 1.25% Foreign stocks: 1.50%9 Next, evaluate risk. In its prospectus (or buyer’s guide), every fund must show a bar graph displaying its worst loss over a calendar quarter. If you can’t stand losing at least that much money in three months, go elsewhere. It’s also worth checking a fund’s Morningstar rating. A leading investment research firm, Morningstar awards “star ratings” to funds, based on how much risk they took to earn their returns (one star is the worst, five is the best). But, just like past performance itself, these ratings look back in time; they tell you which funds were the best, not which are going to be. Five-star funds, in fact, have a disconcerting habit of going on to underperform one-star funds. So first find a low-cost fund whose managers are major shareholders, dare to be different, don’t hype their returns, and have shown a willingness to shut down before they get too big for their britches. Then, and only then, consult their Morningstar rating.10 Finally, look at past performance, remembering that it is only a pale predictor of future returns. As we’ve already seen, yesterday’s winners often become tomorrow’s losers. But researchers have shown that one thing is almost certain: Yesterday’s losers almost never become tomorrow’s winners. So avoid funds with consistently poor past returns—especially if they have above-average annual expenses.

Types of Forex Strategy Traders Figuring out how to exchange isn't simple particularly with regards to the unfamiliar trade market. You will presumably need to learn it through a Forex exchanging framework. A few people believe that dealers are jack of all methodologies of exchanging yet that is not how things work. The way to fruitful exchanging is to turn into the expert of a couple of exchanging techniques. These couple of exchanging methodologies can take you far. Forex procedure dealer frameworks are broadly utilized by various individuals since they give you structure, a bunch of rules and an arrangement to follow as well. There are sure techniques that are at present utilized in the Forex market and they can even cause you to pick what Forex system broker would be best for you to make due in this market. Indicator Driving Trading Systems These exchanging bargains are planned by the individuals who look at that as a specific set up is working at the present time, yet utilizing this framework calls for wary managing. That is on the grounds that it simply works for the current second. This Forex exchanging framework can't give you uphold for quite a while. The framework utilizes pointers for producing an exchanging signal against the value activity. The pointers consistently slack and subsequently, they will in general give late just as false signals. They are not forward-thinking regardless. Something to be thankful for about this exchanging bargain is that it takes a gander at the graphs and numerous beginner merchants think that it’s valuable and enticing. They think of it as' not difficult to utilize and comprehend. Harmonic trading system The Harmonic trading system framework perceives value designs with the Fibonacci augmentations just as following data and afterward it figures the defining moments in the business sectors. It is an intricate type of exchanging which will call for significant practice. On the off chance that you ace it by training, at that point you will discover it among outstanding amongst other exchanging frameworks as it can offer more significant yields against the danger. You can utilize it for exchanging any sort of market. Technical Trading Systems These are perhaps the most ordinarily utilized exchanging bargains that are basic among Forex merchants. They incorporate climbing triangles, banner examples, shoulder examples, heads and various different examples to allow you to exchange the business sectors. These exchanging frameworks are truly useful and you utilize monetary information from earlier years to anticipate the market patterns and take an action. The Forex technique broker or the Forex exchanging frameworks empower you to ensure that you don't lose while you exchange from the solace of your own home. In any case, be certain that Forex exchanging frameworks are not lucrative aides. You actually need to utilize your own insight in exchanging and assemble loads of exchanging data request to put your cash in the perfect spot. Exchanging isn't some tea. On the off chance that you think by utilizing the exchanging gives you can guarantee making enormous amounts of cash, at that point you are incorrect. You should utilize your experience and viable information to guarantee that the Forex procedure broker you use demonstrates to control you in productive exchanging.

FUNCTIONAL SAFETY AS PER IEC 61511 SIF SIS SIL TRAINING FUNCTIONAL SAFETY COURSE OBJECTIVES: The main objective of this training program is to give engineers involved in safety instrumented systems the opportunity to learn about functional safety, current applicable safety standards (IEC 61511) and their requirements. The Participants will be able to learn to follow: • Understand the basic requirements of the functional safety standards (IEC 61511) • The meaning of SIS, SIF, SIL and other functional safety terminology • Differentiate between safety functions and control functions • The role of Hazard and Risk analysis in setting SIL targets• • Create basic designs of safety instrumented systems considering architectural constraints • Different type of failures and best practices for minimizing them • Understand the effect of redundancy, diagnostics, proof test intervals, hardware fault tolerance on the SIL • The responsibility of operation and maintenance to ensure a SIF meets its SIL • How to proof test a SIF The Benefits for the Participants: At the conclusion of the training, the participants will be able to: Participate effectively in SIL determination with Risk graph, Risk matrix, and LOPA methodology Determine whether the design of a Safety Instrumented Function meets the required SIL. Select a SIF architecture that both meets the required SIL and minimizes spurious trips. Select SIF components to meet the target SIL for that SIF Target Audience: Instrument and Control Design and maintenance engineers Process Engineers Process Plant Operation Engineers Functional safety Management Engineers For Registration Email Us On techsupport@marcepinc.com or call us on 022-30210100

HeartMath Inner Balance biofeedback monitor. It detects your heart’s minutest rhythms and sends a graph to your smartphone, facilitating HRV training.

Leonhard Euler (pronounced “oiler”, 1707–1783) is judged by all to have been the most productive, and by many to have been the best, mathematician of modern times. He was Swiss, but spent much of his life in Russia because he had a big family and Catherine the Great offered him a lot of money. His paper “The Seven Bridges of Königsberg” (1736), which we will discuss in Chapter 8, is the earliest known work on the theory of graphs. The theorem now known as Euler’s Formula was proved by Euler in 1752. It is one of the classic theorems of elementary mathematics and plays a central role in the next three chapters of this book.

In my adult years, fighting hearing-impaired loss, I went to an audiologist who, it turns out, was Irish Catholic. On his graph, when he identified a loss so severe that it looked like a stock market crash—and knowing my northern roots—he asked if I had ever been in a mining accident. A dramatic hearing drop, trouble with high-pitch p, f, t, s consonants starting so many words, suggested that an accident had damaged my hearing. “No, a loud Catholic family,” was my best guess. The audiologist laughed. He had a club membership.

FROM OTHER SOURCES Pre–race and Venue Homework Get hold of any history of past events at the venue, plus any information that the conducting club may have about weather and expected conditions. Go to the weather bureau and get history for the area. Speak to sailors from your class who have this venue as their home club or who have sailed there on a number of occasions. Boat, Sails, Gear Preparation Checklist Many times the outcome of a race is as dependent on what you have done prior to the race as to what you do out on the course. Sometimes no matter how good your tactics and strategy are a simple breakage could render all that useless. Hull – make sure that your hull is well sanded and polished, centreboard strips are in good condition, venturis if fitted are working efficiently, buoyancy tanks are dry and there are no extraneous pieces of kit in your boat which adds unwanted weight. Update any gear that looks tired or worn especially control lines. Mast, boom and poles – check that all halyards, stays and trapeze wires are not worn or damaged and that pins are secure, knots tight and that anything that can tear a sail or injure flesh is taped. Mark the full hoist position on all halyards. Deck hardware – check all cam cleats for spring tension and tape anything that may cause a sail tear or cut legs hands and arms. Check the length of all sheets and control lines and shorten anything that is too long. This not only reduces weight but also minimises clutter. Have marks on sheets and stick or draw numbers and reference scales for the jib tracks, outhaul and halyards so that you can easily duplicate settings that you know are fast in various conditions. Centreboard and rudder – ensure that all nicks and gouges are filled and sanded and the surfaces are polished and most importantly that rudder safety clips are working. Sails – select the correct battens for the day’s forecast. Write on the deck, with a china graph pencil, things like the starting sequence, courses, tide times and anything else that will remind you to sail fast. Tools and spares – carry a shackle key with screwdriver head on your person along with some spare shackles and short lengths of rope or different diameters. A tool like a Leatherman can be very useful to deal with unexpected breakages that can occur even in the best prepared boat.

In the late summer of 2010, I visit Nowak at his home in Falls Church, Virginia. He is soft-spoken, slightly built, and a little stooped with age. Nowak has a cerebral demeanor, and in a Louisiana accent that softens his r’s, he might tell you he was born in the “fawties.” We sit in his living room, which is decorated with tiny statues of forest animals. Every few minutes, he darts down the hall to his desk - above which hangs a famous photo of a black-phase red wolf from the Tensas River - to retrieve books, graphs, and papers for reference. More than a decade after his retirement, Nowak remains engrossed by discussions of red wolf origins. Deep in conversation about carnassial teeth, he dives to grab his wife’s shitzsu, Tommy, to show me what they look like, then he thinks better of it. (Tommy had eyed him warily.) He hands me a copy of his most recent publication, a 2002 paper from Southeastern Naturalist. “When I wrote this, I threw everything I had at the red wolf problem,” he says. “This was my best shot.” He thumps an extra copy onto the coffee table between us. After a very long pause, he gazes at it and adds: “I’m not sure I have anything left to offer.” This is hard to accept, considering everything he has invested in learning about the red wolf: few people have devoted more time to understanding red wolves than the man sitting across the coffee table from me, absentmindedly stroking his wife’s dog. Nowak grew up in New Orleans, and as an undergraduate at Tulane University in 1962, he became interested in endangered birds. While reading a book on the last ivory-billed woodpeckers in the swamps along the Tensas River, his eyes widened when he found references to wolves. “Wolves in Louisiana! My goodness, I thought wolves lived up on the tundra, in the north woods, going around chasing moose and people,” Nowak recalls. “I did not know a thing about them. But when I learned there were wolves in my home state, it got me excited.

Many of these behemoth corporations are subject to shareholders and market cap obligations. In other words, they must monetize the web by converting it into a private network in which their users become their products. The shareholders and board members of these companies are far less interested in helping you make more friends than in how to best capitalize on your social data graph. The reason why many

Biological systems are a chemical inevitability in the right circumstances. There is, of course, something special about life—I won’t take that away from it—but it is a chemical process, a dynamic, kinetic stability that exists, as your scientists have said, “far from thermodynamic equilibrium.” You don’t have to understand this or believe me, but life is fairly common in both time and space. It is not special, nor is it particularly fragile. The best measure I have of the size and complexity of a biosphere is calories of energy captured per square meter per year. Higher is more impressive, and always more beautiful, but this measures nothing of the creation of a system like humanity. For that, my awakened mind categorizes systems by bytes of information transmitted. This will sound to you like it’s a relatively new phenomenon on your planet, but it’s not. Even pelagibacter transmit information, if only to daughter cells. Ants spray pheromones, bees dance, birds sing—all of these are comparatively low-bandwidth systems for communication. But your system caused an inflection point. The graph of data flow switched from linear to exponential growth. Maybe you would call this system “humanity,” but I wouldn’t. It is not just a collection of individuals; it is also a collection of ideas stored inside of individuals and objects and even ideas inside ideas. If that seems like a trivial difference to you, well, I guess I can forgive you since you do not know what the rest of the universe looks like. Collections of individuals are beautiful, but they are as common as pelagibacter. Collections of ideas are veins of gold in our universe.

Biological systems are a chemical inevitability in the right circumstances. There is, of course, something special about life—I won’t take that away from it—but it is a chemical process, a dynamic, kinetic stability that exists, as your scientists have said, “far from thermodynamic equilibrium.” You don’t have to understand this or believe me, but life is fairly common in both time and space. It is not special, nor is it particularly fragile. The best measure I have of the size and complexity of a biosphere is calories of energy captured per square meter per year. Higher is more impressive, and always more beautiful, but this measures nothing of the creation of a system like humanity. For that, my awakened mind categorizes systems by bytes of information transmitted. This will sound to you like it’s a relatively new phenomenon on your planet, but it’s not. Even pelagibacter transmit information, if only to daughter cells. Ants spray pheromones, bees dance, birds sing—all of these are comparatively low-bandwidth systems for communication. But your system caused an inflection point. The graph of data flow switched from linear to exponential growth. Maybe you would call this system “humanity,” but I wouldn’t. It is not just a collection of individuals; it is also a collection of ideas stored inside of individuals and objects and even ideas inside ideas. If that seems like a trivial difference to you, well, I guess I can forgive you since you do not know what the rest of the universe looks like. Collections of individuals are beautiful, but they are as common as pelagibacter. Collections of ideas are veins of gold in our universe. They must be cherished and protected. My parents, whoever and whatever they were, gave me knowledge of many systems—it was locked in my code before I was sent here to self-assemble—and the only thing I can tell you about systems like yours is that they are rare because they are unstable. Dynamite flows through their veins. A single solid jolt and they’re gone. If my data sets are accurate, you are rare, fragile, and precious.

SUMMARY A vast array of additional statistical methods exists. In this concluding chapter, we summarized some of these methods (path analysis, survival analysis, and factor analysis) and briefly mentioned other related techniques. This chapter can help managers and analysts become familiar with these additional techniques and increase their access to research literature in which these techniques are used. Managers and analysts who would like more information about these techniques will likely consult other texts or on-line sources. In many instances, managers will need only simple approaches to calculate the means of their variables, produce a few good graphs that tell the story, make simple forecasts, and test for significant differences among a few groups. Why, then, bother with these more advanced techniques? They are part of the analytical world in which managers operate. Through research and consulting, managers cannot help but come in contact with them. It is hoped that this chapter whets the appetite and provides a useful reference for managers and students alike. KEY TERMS   Endogenous variables Exogenous variables Factor analysis Indirect effects Loading Path analysis Recursive models Survival analysis Notes 1. Two types of feedback loops are illustrated as follows: 2. When feedback loops are present, error terms for the different models will be correlated with exogenous variables, violating an error term assumption for such models. Then, alternative estimation methodologies are necessary, such as two-stage least squares and others discussed later in this chapter. 3. Some models may show double-headed arrows among error terms. These show the correlation between error terms, which is of no importance in estimating the beta coefficients. 4. In SPSS, survival analysis is available through the add-on module in SPSS Advanced Models. 5. The functions used to estimate probabilities are rather complex. They are so-called Weibull distributions, which are defined as h(t) = αλ(λt)a–1, where a and 1 are chosen to best fit the data. 6. Hence, the SSL is greater than the squared loadings reported. For example, because the loadings of variables in groups B and C are not shown for factor 1, the SSL of shown loadings is 3.27 rather than the reported 4.084. If one assumes the other loadings are each .25, then the SSL of the not reported loadings is [12*.252 =] .75, bringing the SSL of factor 1 to [3.27 + .75 =] 4.02, which is very close to the 4.084 value reported in the table. 7. Readers who are interested in multinomial logistic regression can consult on-line sources or the SPSS manual, Regression Models 10.0 or higher. The statistics of discriminant analysis are very dissimilar from those of logistic regression, and readers are advised to consult a separate text on that topic. Discriminant analysis is not often used in public

The ancient human social construct that once was common in this land was called community. We lived among our villagers, depending on them for what we needed. If we had a problem, we did not discuss it over the phone with someone in Mumbai. We went to a neighbor. We acquired food from farmers. We listened to music in groups, in churches or on front porches. We danced. We participated. Even when there was no money in it. Community is our native state. You play hardest for a hometown crowd. You become your best self. You know joy. This is not a guess, there is evidence. The scholars who study social well-being can put it on charts and graphs. In the last 30 years our material wealth has increased in this country, but our self-described happiness has steadily declined. Elsewhere, the people who consider themselves very happy are not in the very poorest nations, as you might guess, nor in the very richest. The winners are Mexico, Ireland, Puerto Rico, the kinds of places we identify with extended family, noisy villages, a lot of dancing. The happiest people are the ones with the most community.

We tend to think of any decline as catastrophic, but ‘collapse’ never means ‘the end’. A people who starts to understand itself in civilisational terms, rather than in terms of graphs and spreadsheets, may be better built to endure. The alternative to what I have outlined in this book, which is the belief that things as we have known them since 1945 will continue indefinitely into the future, for 100 years, 500 years, 1,000 years, as GDP goes ‘up and up’ and Progress marches on, should be recognised by all but the most hopelessly utopian reader as being at best wishful thinking, and at worst stupidity.