Group items tagged

Writers hover between a decent poverty and an indecent one; they are expected to render the fruits of their labors for little and even for nothing, and all the miracles of electronic dissemination somehow do not suffice for compensation, either of the fiscal or the spiritual kind.

Journalistic institutions slowly transform themselves into silent sweatshops in which words cannot wait for thoughts, and first responses are promoted into best responses, and patience is a professional liability.

the discussion of culture is being steadily absorbed into the discussion of business. There are “metrics” for phenomena that cannot be metrically measured. Numerical values are assigned to things that cannot be captured by numbers. Economic concepts go rampaging through noneconomic realms:

WE all can relate to the saying “One death is a tragedy; a million deaths is a statistic.” Our sympathy for suffering and loss declines precipitously when we are presented with increasing numbers of victims.

studied survivors of the atomic bombs dropped on Hiroshima and Nagasaki and discovered that a condition he labeled “psychic numbing” enabled them to withstand the psychological trauma of this experience.

concept of psychic numbing has implications in many other situations, such as our response to information about refugee crises, mass extinctions and climate change. This information can be deadening in its abstractness. We struggle to care when the numbers get big. The poet Zbigniew Herbert called this “the arithmetic of compassion.”

, in 2000, the Nobel Prize-winning chemist Paul Crutzen won permanent fame for stratigraphy. He proposed that humans had so throughly altered the fundamental processes of the planet—through agriculture, climate change, and nuclear testing, and other phenomena—that a new geological epoch had commenced: the Anthropocene, the age of humans.

Zalasiewicz should know. He is the chair of the Anthropocene working group, which the ICS established in 2009 to investigate whether the new epoch deserved a place in stratigraphic time.

In 2015, the group announced that the Anthropocene was a plausible new layer and that it should likely follow the Holocene. But the team has yet to propose a “golden spike” for the epoch: a boundary in the sedimentary rock record where the Anthropocene clearly begins.

While in school, her thinking was station to station: take that test, apply to that college, aim for a degree. But in young adulthood, there are no more stations. Everything is open seas. Your main problems are not about the assignment right in front of you; they are about the horizon far away. What should you be steering toward? It requires an entirely different set of navigational skills.

one of the oddest phenomena of modern life. Childhood is more structured than it has ever been. But then the great engine of the meritocracy spits people out into a young adulthood that is less structured than it has ever been.

There used to be certain milestones that young adults were directed toward by age 27: leaving home, becoming financially independent, getting married, buying a house, having a child. But the information economy has scrambled those timetables. Current 20-somethings are much less likely to do any of those things by 30. They are less likely to be anchored in a political party, church or some other creedal community.

Human decision-making shows systematic simplifications and deviations from the tenets of rationality (‘heuristics’) that may lead to suboptimal decisional outcomes (‘cognitive biases’). There are currently three prevailing theoretical perspectives on the origin of heuristics and cognitive biases: a cognitive-psychological, an ecological and an evolutionary perspective. However, these perspectives are mainly descriptive and none of them provides an overall explanatory framework for

the underlying mechanisms of cognitive biases. To enhance our understanding of cognitive heuristics and biases we propose a neural network framework for cognitive biases, which explains why our brain systematically tends to default to heuristic (‘Type 1’) decision making. We argue that many cognitive biases arise from intrinsic brain mechanisms that are fundamental for the working of biological neural networks. To substantiate our viewpoint, we discern and explain four basic neural network principles: (1) Association, (2) Compatibility, (3) Retainment, and (4) Focus. These principles are inherent to (all) neural networks which were originally optimized to perform concrete biological, perceptual, and motor functions. They form the basis for our inclinations to associate and combine (unrelated) information, to prioritize information that is compatible with our present state (such as knowledge, opinions, and expectations), to retain given information that sometimes could better be ignored, and to focus on dominant information while ignoring relevant information that is not directly activated. The supposed mechanisms are complementary and not mutually exclusive. For different cognitive biases they may all contribute in varying degrees to distortion of information. The present viewpoint not only complements the earlier three viewpoints, but also provides a unifying and binding framework for many cognitive bias phenomena.

The cognitive-psychological (or heuristics and biases) perspective (Evans, 2008; Kahneman and Klein, 2009) attributes cognitive biases to limitations in the available data and in the human information processing capacity (Simon, 1955; Broadbent, 1958; Kahneman, 1973, 2003; Norman and Bobrow, 1975)

Paradigm shifts come along maybe once in a generation. They create a profound realignment across the globe, across industries, across economies and across populations.

“Paradigm shifts arise when the dominant paradigm under which normal science operates is rendered incompatible with new phenomena, facilitating the adoption of a new theory or paradigm.”

COVID-19 is creating a paradigm shift that is realigning every system in every industry across the global at once – in an instant.

Any discussion of Einstein should begin with what is probably his single greatest contribution to physics—the theory of relativity.

Between the late 1600s and the beginning of the 20th century, the field of physics was dominated by the ideas of Isaac Newton. The Newtonian laws of motion and gravitation had, up to that point in time, been the most successful scientific theory in all of history.

Newton’s ideas were, of course, challenged from time to time during those two centuries, but these ideas always seemed to hold up

Sense-perception has long been a preoccupation of philosophers. One pervasive and traditional problem, sometimes called “the Problem of Perception”, is created by the phenomena of perceptual illusion and hallucination: if these kinds of error are possible, how can perception be what we ordinarily understand it to be, an openness to and awareness of the world? The present entry is about how these possibilities of error challenge the intelligibility of the phenomenon of perception, and how the major theories of experience in the last century are best understood as responses to this challenge.

According to Awareness, we are sometimes perceptually aware of ordinary mind-independent objects in perceptual experience. Such awareness can come from veridical experiences—cases in which one perceives an object for what it is. But it can also come from illusory experiences. For we think of an illusion as “any perceptual situation in which a physical object is actually perceived, but in which that object perceptually appears other than it really is” Smith (2002: 23). For example, a white wall seen in yellow light can look yellow to one. (In such cases it is not necessary that one is deceived into believing that things are other than they are). The argument from illusion, in a radical form, aims to show that we are never perceptually aware of ordinary objects. Many things have been called “the argument from illusion”

When we’re making decisions, we use two different systems of thinking. System 1 is our intuition or gut-feeling: fast, automatic, emotional, and subconscious. System 2 is slower and more deliberate: consciously working through different considerations, applying different concepts and models and weighing them all up.

One takeaway from the psychological research on dual process theory is that our System 1 (intuition) is more accurate in areas where we’ve gathered a lot of data with reliable and fast feedback, like social dynamics.

our System 2 tends to be better for decisions where we don’t have a lot of experience; involving numbers, statistics, logic, abstractions, or models; and phenomena our ancestors never dealt with.

The human brain is more complex than any other known structure in the universe.

Weighing in at three pounds, on average, this spongy mass of fat and protein is made up of two overarching types of cells—called glia and neurons—and it contains many billions of each.

The cerebrum is the largest part of the brain, accounting for 85 percent of the organ's weight. The distinctive, deeply wrinkled outer surface is the cerebral cortex. It's the cerebrum that makes the human brain—and therefore humans—so formidable. Animals such as elephants, dolphins, and whales actually have larger brains, but humans have the most developed cerebrum. It's packed to capacity inside our skulls, with deep folds that cleverly maximize the total surface area of the cortex.

Due to the arrangement of images, the effect of colors, the impact of light source or other variables, a wide range of misleading visual effects can be seen.

These phenomena demonstrate a very important principle of perception: we don't always see what's really there

When the viewer focused his or her attention on a specific dot, it is obvious that it is white. But as soon as attention is shifted away, the dot shifts to a gray color.

Infinity has its own special symbol: ∞. The symbol, sometimes called the lemniscate, was introduced by clergyman and mathematician John Wallis in 1655. The word "lemniscate" comes from the Latin word lemniscus, which means "ribbon," while the word "infinity" comes from the Latin word infinitas, which means "boundless."

Of all Zeno's paradoxes, the most famous is his paradox of the Tortoise and Achilles. In the paradox, a tortoise challenges the Greek hero Achilles to a race, providing the tortoise is given a small head start. The tortoise argues he will win the race because as Achilles catches up to him, the tortoise will have gone a bit further, adding to the distance.

Pi as an Example of Infinity Pi is a number consisting of an infinite number of digits. Jeffrey Coolidge / Getty Images Another good example of infinity is the number π or pi. Mathematicians use a symbol for pi because it's impossible to write the number down. Pi consists of an infinite number of digits. It's often rounded to 3.14 or even 3.14159, yet no matter how many digits you write, it's impossible to get to the end.

The idea that emotion impedes logic is pervasive and wrong. (Actually, it’s not even wrong.)

“Yet our criminal justice system is designed to establish a forum for unimpaired reason, not emotional reaction. Evidence which only appeals to sympathies, conveys a sense of horror, or engenders an instinct to punish should be excluded.”

emotions can bias our thinking. What’s not true is that the best thinking comes from a lack of emotion. “Emotion helps us screen, organize and prioritize the information that bombards us,” Bandes and Salerno write. “It influences what information we find salient, relevant, convincing or memorable.”

As many as one million seabirds died at sea in less than 12 months in one of the largest mass die-offs in recorded history -- and researchers say warm ocean waters are to blame.

The birds, a fish-eating species called the common murre, were severely emaciated and appeared to have died of starvation between the summer of 2015 and the spring of 2016, washing up along North America's west coast, from California to Alaska.

The heat wave created the Blob -- a 1,000-mile (1,600 km) stretch of ocean that was warmed by 3 to 6 degrees Celsius (5.4 to 10.8 Fahrenheit). A high-pressure ridge calmed the ocean waters -- meaning heat stays in the water, without storms to help cool it down.

The Journal aims to present research that will improve understanding of behavioral, in particular psychological, aspects of economic phenomena and processes.

By Scientism, I mean three interrelated ideas that, taken together, stand as one of the pillars of Technopoly.

The first and indispensable idea is, as noted, that the methods of the natural sciences can be applied to the study of human behavior. This idea is the backbone of much of psychology and sociology as practiced at least in America, and largely accounts for the fact that social science, to quote F. A. Hayek, "has cont~ibuted scarcely anything to our understanding of social phenomena." 2

The second idea is, as also noted, that social science generates specific principles which can be used to organize society on a rational and humane basis. This implies that technical meansmostly "invisible technologies" supervised by experts-can be designed to control human behavior and set it on the proper course.

For decades, scientists working to predict changes in the climate relied mostly on calculations involving simple laws of physics and chemistry but little data from the real world. But with temperatures world-wide continuing to rise—and with data-collection techniques and technologies continuing to advance—scientists now rely on meticulous measurements of temperatures, ocean currents, soil moisture, air quality, cloud cover and hundreds of other phenomena on Earth and in its atmosphere.

“Now we can truly do climate studies because now we have observations to precisely say how weather trends have changed and are changing,

“When you are trying to develop long-term environmental records, including climate records, consistent measurement is incredibly valuable,” says Kevin Murphy, who as NASA’s chief science data officer oversees an archive of Earth observation data used by 3.9 million people last year. “It’s irreplaceable data.”

For centuries, people have witnessed unexplained lights in the sky and thought that perhaps they might be ghosts or angels. However, it was in the summer of 1947 when a different explanation became popular. Following a widely reported incident over Mt. Rainier in Washington state, people began to believe that these unidentified flying objects (UFOs) are actually alien spacecraft prowling the Earth.

Over the past 70 years, more than ten thousand similar reports have been made.

The problem is that many people jump directly from the “unidentified” in “UFO” to “flying saucer.” And that’s just too large a jump to be reasonable. There is simply no credible evidence that the Earth is being visited by aliens. There are no artifacts, no clear photographs, no captured aliens, no alien bodies – nothing.