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Even in utero and after birth, for every moment of every day, our brain is processing the nonstop set of incoming signals from our senses. Sight, sound, touch, smell, taste—all of the raw sensory data that will result in these sensations enter the lower parts of the brain and begin a multistage process of being categorized, compared to previously stored patterns, and ultimately, if necessary, acted upon. In many cases the pattern of incoming signals is so repetitive, so familiar, so safe and the memory template that this pattern matches is so deeply engrained, that your brain essentially ignores them. This is a form of tolerance called habituation.
Bruce D. Perry (The Boy Who Was Raised As a Dog: And Other Stories from a Child Psychiatrist's Notebook)
In the face of uncertainty, our first instinct is often to reject novelty, looking for reasons why unfamiliar concepts might fail. When managers vet novel ideas, they’re in an evaluative mindset. To protect themselves against the risks of a bad bet, they compare the new notion on the table to templates of ideas that have succeeded in the past. When publishing executives passed on Harry Potter, they said it was too long for a children’s book; when Brandon Tartikoff saw the Seinfeld pilot, he felt it was “too Jewish” and “too New York” to appeal to a wide audience. Rice professor Erik Dane finds that the more expertise and experience people gain, the more entrenched they become in a particular way of viewing the world. He points to studies showing that expert bridge players struggled more than novices to adapt when the rules were changed, and that expert accountants were worse than novices at applying a new tax law. As we gain knowledge about a domain, we become prisoners of our prototypes.
Adam M. Grant (Originals: How Non-Conformists Move the World)
Working independently, Baltimore and Temin discovered an enzyme found in retroviruses that could build DNA from an RNA template. They called the enzyme reverse transcriptase-"reverse" because it inverted the normal direction of information flow: from RNA back to DNA, or from a gene's message backward to a gene, thereby violating Crick's "central dogma" (that genetic information only moved from genes to messages, but never backward). Using reverse transcriptase, ever RNA in a cell could be used as a template to build its corresponding gene. A biologist could thus generate a catalog, or "library" of all "active" genes in a cell-akin to a library of books grouped by subject. There would be a library of genes for T cells and another for red blood cells, a library for neurons in the retina, for insulin-secreting cells of the pancreas, and so forth. By comparing libraries derived from two cells-a T cell and a pancreas cell, say-an immunologist could fish out genes that were active in one cell and not the other (e.g., insulin or the T cell receptor). Once identified, that gene could be amplified a millionfold in bacteria. The gene could be isolated and sequenced, its RNA and protein sequence determined, its regulatory regions identified; it could be mutated an inserted into a different cell to decipher the gene's structure and function. In 1984 this technique was deployed to clone the T cell receptor-a landmark achievement in immunology.
Siddhartha Mukherjee (The Gene: An Intimate History)
In the EPJ results, there were two statistically distinguishable groups of experts. The first failed to do better than random guessing, and in their longer-range forecasts even managed to lose to the chimp. The second group beat the chimp, though not by a wide margin, and they still had plenty of reason to be humble. Indeed, they only barely beat simple algorithms like “always predict no change” or “predict the recent rate of change.” Still, however modest their foresight was, they had some. So why did one group do better than the other? It wasn’t whether they had PhDs or access to classified information. Nor was it what they thought—whether they were liberals or conservatives, optimists or pessimists. The critical factor was how they thought. One group tended to organize their thinking around Big Ideas, although they didn’t agree on which Big Ideas were true or false. Some were environmental doomsters (“We’re running out of everything”); others were cornucopian boomsters (“We can find cost-effective substitutes for everything”). Some were socialists (who favored state control of the commanding heights of the economy); others were free-market fundamentalists (who wanted to minimize regulation). As ideologically diverse as they were, they were united by the fact that their thinking was so ideological. They sought to squeeze complex problems into the preferred cause-effect templates and treated what did not fit as irrelevant distractions. Allergic to wishy-washy answers, they kept pushing their analyses to the limit (and then some), using terms like “furthermore” and “moreover” while piling up reasons why they were right and others wrong. As a result, they were unusually confident and likelier to declare things “impossible” or “certain.” Committed to their conclusions, they were reluctant to change their minds even when their predictions clearly failed. They would tell us, “Just wait.” The other group consisted of more pragmatic experts who drew on many analytical tools, with the choice of tool hinging on the particular problem they faced. These experts gathered as much information from as many sources as they could. When thinking, they often shifted mental gears, sprinkling their speech with transition markers such as “however,” “but,” “although,” and “on the other hand.” They talked about possibilities and probabilities, not certainties. And while no one likes to say “I was wrong,” these experts more readily admitted it and changed their minds. Decades ago, the philosopher Isaiah Berlin wrote a much-acclaimed but rarely read essay that compared the styles of thinking of great authors through the ages. To organize his observations, he drew on a scrap of 2,500-year-old Greek poetry attributed to the warrior-poet Archilochus: “The fox knows many things but the hedgehog knows one big thing.” No one will ever know whether Archilochus was on the side of the fox or the hedgehog but Berlin favored foxes. I felt no need to take sides. I just liked the metaphor because it captured something deep in my data. I dubbed the Big Idea experts “hedgehogs” and the more eclectic experts “foxes.” Foxes beat hedgehogs. And the foxes didn’t just win by acting like chickens, playing it safe with 60% and 70% forecasts where hedgehogs boldly went with 90% and 100%. Foxes beat hedgehogs on both calibration and resolution. Foxes had real foresight. Hedgehogs didn’t.
Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
First, distraction remains a destroyer of depth. Therefore, the hub-and-spoke model provides a crucial template. Separate your pursuit of serendipitous encounters from your efforts to think deeply and build on these inspirations. You should try to optimize each effort separately, as opposed to mixing them together into a sludge that impedes both goals. Second, even when you retreat to a spoke to think deeply, when it’s reasonable to leverage the whiteboard effect, do so. By working side by side with someone on a problem, you can push each other toward deeper levels of depth, and therefore toward the generation of more and more valuable output as compared to working alone.
Cal Newport (Deep Work: Rules for Focused Success in a Distracted World)
In the face of uncertainty, our first instinct is often to reject novelty, looking for reasons why unfamiliar concepts might fail.26 When managers vet novel ideas, they’re in an evaluative mindset. To protect themselves against the risks of a bad bet, they compare the new notion on the table to templates of ideas that have succeeded in the past. When
Adam Grant (Originals: How Non-conformists Change the World)
Of the seven Archons that had combined to form the Milky Way mind, Orion had been the Archon whose verve and remorseless drive inspired and frightened and tempted the others into cooperation. Of the twenty-five Authorities forming the long-lost Orion Arm, the Benedictine was the most significant and influential of the ancient forefathers. The Benedictines were combination of three Dominions, issuing from the Collective at the Praesepe Cluster, the Abstraction at Orion Nebula, and the Empyrean at the Hyades Cluster. The Empyreans issued from a world called Eden, allegedly outside Hyades itself, and had displaced the original inhabitants of Hyades, a rude confederation of Virtues, Hosts, and races who names even devout paleohistorians could not with certainty invoke. Occupying the debris of the oldest archival strata were traces of the legendary founder of this Domination, an Empyrean called the Judge of Ages. He was the direct lineal ancestor of the memory chains of the last-known warlord of the Milky Way. Variations of him existed everywhere, of course; he was the base template for nearly every emissary form known in the Milky Way, and the founder of the Count-to-Infinity cliometric which had replaced the Cold Equations of the Interregnum. But such emissaries had been sent to Andromeda and rejected, even destroyed. No recent version of the countless copies would do, nor was there time to send to the core of the Milky Way, where the vast warlord Archon was last known to have been active. Once of the necromancers—call her Alcina—sought his ghost where others had overlooked, in one of the oldest archives, well preserved, amid the Austerity of the Cygnus Arm. Alcina reconstructed him, mind and body, comparing this core to many other records, carefully parsing away amendments and mythical excrescences of later editors. And Menelaus Montrose came to life once more, swearing.
John C. Wright (Count to Infinity (Count to the Eschaton Sequence #6))
The separation of mind and body that informs medical practice is also the dominant ideology in our culture. We do not often think of socio-economic structures and practices as determinants of illness or well-being. They are not usually “part of the equation.” Yet the scientific data is beyond dispute: socio-economic relationships have a profound influence on health. For example, although the media and the medical profession — inspired by pharmaceutical research — tirelessly promote the idea that next to hypertension and smoking, high cholesterol poses the greatest risk for heart disease, the evidence is that job strain is more important than all the other risk factors combined. Further, stress in general and job strain in particular are significant contributors both to high blood pressure and to elevated cholesterol levels. Economic relationships influence health because, most obviously, people with higher incomes are better able to afford healthier diets, living and working conditions and stress-reducing pursuits. Dennis Raphael, associate professor at the School of Health Policy and Management at York University in Toronto has recently published a study of the societal influences on heart disease in Canada and elsewhere. His conclusion: “One of the most important life conditions that determine whether individuals stay healthy or become ill is their income. In addition, the overall health of North American society may be more determined by the distribution of income among its members rather than the overall wealth of the society…. Many studies find that socioeconomic circumstances, rather than medical and lifestyle risk factors, are the main causes of cardiovascular disease, and that conditions during early life are especially important.” The element of control is the less obvious but equally important aspect of social and job status as a health factor. Since stress escalates as the sense of control diminishes, people who exercise greater control over their work and lives enjoy better health. This principle was demonstrated in the British Whitehall study showing that second-tier civil servants were at greater risk for heart disease than their superiors, despite nearly comparable incomes. Recognizing the multigenerational template for behaviour and for illness, and recognizing, too, the social influences that shape families and human lives, we dispense with the unhelpful and unscientific attitude of blame. Discarding blame leaves us free to move toward the necessary adoption of responsibility, a matter to be taken up when we come in the final chapters to consider healing.
Gabor Maté (When the Body Says No: The Cost of Hidden Stress)
But whatever awkwardness it’s occasioned me is nothing compared to the suffocating societal pressure that women who don’t want children are subjected to. After all, there’s a sort of role model or template for a man who doesn’t want kids—the Confirmed Bachelor, roguish and irascible in the W. C. Fields tradition. At worst, we’re considered selfish or immature; women who don’t want to have children are regarded as unnatural, traitors to their sex, if not the species. Men who don’t want kids get a dismissive eye roll, but the reaction to women who don’t want them is more like: What’s wrong with you?
Meghan Daum (Selfish, Shallow, and Self-Absorbed: Sixteen Writers on The Decision Not To Have Kids)