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The authors were critical of studies of neonicotinoids on bee health that tested the insects’ ability to survive a single exposure to a given quantity of pesticide dust; they noted that the effect of the chemicals is cumulative and irreversible, meaning that repeated sublethal doses will eventually be deadly if a certain threshold is passed.

The restrictive approach used by European regulators contrasts with the more lenient stance of United States regulators. In March, American opponents of neonicotinoid use delivered more than four million signatures to the White House calling for stronger action to protect pollinators.

critics say the E.P.A.’s interim policy is rife with loopholes, allowing continued use of existing products for approved applications, for example. They also criticized the agency for not halting the approval of some products that are chemically quite similar to neonicotinoids but classified differently for regulatory purposes.

Pollination — the transfer of pollen from one flower to another, typically by wind, bug or bird — is essential to the global food supply. An estimated 75 percent of all traded crops, including apples, soybeans and corn, depend on pollination.

Neonicotinoids are absorbed by a plant so that the neurotoxic poison spreads throughout its tissues, including the sap, nectar and pollen. Far more deadly to insects than to mammals, they do not discriminate between harmful pests and beneficial pollinators.

David Marr, a neuroscientist colleague of Chomsky's at MIT, defined a general framework for studying complex biological systems (like the brain) in his influential book Vision,

a complex biological system can be understood at three distinct levels. The first level ("computational level") describes the input and output to the system, which define the task the system is performing. In the case of the visual system, the input might be the image projected on our retina and the output might our brain's identification of the objects present in the image we had observed. The second level ("algorithmic level") describes the procedure by which an input is converted to an output, i.e. how the image on our retina can be processed to achieve the task described by the computational level. Finally, the third level ("implementation level") describes how our own biological hardware of cells implements the procedure described by the algorithmic level.

The emphasis here is on the internal structure of the system that enables it to perform a task, rather than on external association between past behavior of the system and the environment. The goal is to dig into the "black box" that drives the system and describe its inner workings, much like how a computer scientist would explain how a cleverly designed piece of software works and how it can be executed on a desktop computer.

As written today, the history of cognitive science is a story of the unequivocal triumph of an essentially Chomskyian approach over Skinner's behaviorist paradigm -- an achievement commonly referred to as the "cognitive revolution,"

While this may be a relatively accurate depiction in cognitive science and psychology, behaviorist thinking is far from dead in related disciplines. Behaviorist experimental paradigms and associationist explanations for animal behavior are used routinely by neuroscientists

Chomsky critiqued the field of AI for adopting an approach reminiscent of behaviorism, except in more modern, computationally sophisticated form. Chomsky argued that the field's heavy use of statistical techniques to pick regularities in masses of data is unlikely to yield the explanatory insight that science ought to offer. For Chomsky, the "new AI" -- focused on using statistical learning techniques to better mine and predict data -- is unlikely to yield general principles about the nature of intelligent beings or about cognition.

Behaviorist principles of associations could not explain the richness of linguistic knowledge, our endlessly creative use of it, or how quickly children acquire it with only minimal and imperfect exposure to language presented by their environment.

it has been argued in my view rather plausibly, though neuroscientists don't like it -- that neuroscience for the last couple hundred years has been on the wrong track.

Implicit in this endeavor is the assumption that with enough sophisticated statistical tools and a large enough collection of data, signals of interest can be weeded it out from the noise in large and poorly understood biological systems.

Brenner, a contemporary of Chomsky who also participated in the same symposium on AI, was equally skeptical about new systems approaches to understanding the brain. When describing an up-and-coming systems approach to mapping brain circuits called Connectomics, which seeks to map the wiring of all neurons in the brain (i.e. diagramming which nerve cells are connected to others), Brenner called it a "form of insanity."

These debates raise an old and general question in the philosophy of science: What makes a satisfying scientific theory or explanation, and how ought success be defined for science?

Ever since Isaiah Berlin's famous essay, it has become a favorite pastime of academics to place various thinkers and scientists on the "Hedgehog-Fox" continuum: the Hedgehog, a meticulous and specialized worker, driven by incremental progress in a clearly defined field versus the Fox, a flashier, ideas-driven thinker who jumps from question to question, ignoring field boundaries and applying his or her skills where they seem applicable.

Chomsky's work has had tremendous influence on a variety of fields outside his own, including computer science and philosophy, and he has not shied away from discussing and critiquing the influence of these ideas, making him a particularly interesting person to interview.

If you take a look at the progress of science, the sciences are kind of a continuum, but they're broken up into fields. The greatest progress is in the sciences that study the simplest systems. So take, say physics -- greatest progress there. But one of the reasons is that the physicists have an advantage that no other branch of sciences has. If something gets too complicated, they hand it to someone else.

If a molecule is too big, you give it to the chemists. The chemists, for them, if the molecule is too big or the system gets too big, you give it to the biologists. And if it gets too big for them, they give it to the psychologists, and finally it ends up in the hands of the literary critic, and so on.

An unlikely pair, systems biology and artificial intelligence both face the same fundamental task of reverse-engineering a highly complex system whose inner workings are largely a mystery

neuroscience developed kind of enthralled to associationism and related views of the way humans and animals work. And as a result they've been looking for things that have the properties of associationist psychology.

Although he already speaks English well, he says meeting native speakers has been helpful for picking up new phrases and mastering the art of both British and American slang.

Language teachers aren’t surprised by the trend, and see it as a natural progression given improved access to technology in countries like India. “In a developing country many people don’t have the disposable income to invest in self-improvement with things like language lessons. But access to the internet creates opportunities for self-directed study and to learn from the wealth of English language [content] available,”

“Smart learning is all about learning the English you need to deal with day-to-day situations that you may encounter. The instant gratification of learning something and being able to apply it in a meaningful way is a huge motivator,”

New research suggests that one possible answer can be found in the brain’s so-called central executive network, which helps regulate emotions, thinking and behavior

used M.R.I. to study the brains of a racially diverse group of 218 people, ages 12 to 14, living in violent neighborhoods in Chicago

the youths who had higher levels of functional connectivity in the central executive network had better cardiac and metabolic health than their peers with lower levels of connectivity

when neighborhood homicide rates went up, the young people’s cardiometabolic risk — as measured by obesity, blood-pressure and insulin levels, among other variables — also increased, but only in youths who showed lower activity in this brain network

“Active resilience happens when people who are vulnerable find resources to cope with stress and bounce back, and do so in a way that leaves them stronger, ready to handle additional stress, in more adaptive ways.”

the more medically hardy young people were no less anxious or depressed than their less fortunate peers, which suggests that while being more resilient makes you less vulnerable to adversity, it doesn’t guarantee happiness — or even an awareness of being resilient.

there is good reason to believe the link may be causal because other studies have found that we can change the activity in the self-control network, and increase healthy behaviors, with simple behavioral interventions

One plausible explanation is that greater activity in this network increases self-control, which most likely reduces some unhealthy behaviors people often use to cope with stress, like eating junk food or smoking

n one study, two weeks of mindfulness training produced a 60 percent reduction in smoking, compared with no reduction in a control group that focused on relaxation. An M.R.I. following mindfulness training showed increased activity in the anterior cingulate cortex and prefrontal cortex, key brain areas in the executive self-control network

Clearly self-control is one critical component of resilience that can be easily fostered. But there are others.

For example, mindfulness training, which involves attention control, emotion regulation and increased self-awareness, can increase connectivity within this network and help people to quit smoking.

she and colleagues studied the brains of depressed patients who died. They found that the most disrupted genes were those for growth factors, proteins that act like a kind of brain fertilizer.

“We came to realize that depressed people have lost their power to remodel their brains. And that is in fact devastating because brain remodeling is something we need to do all the time — we are constantly rewiring our brains based on past experience and the expectation of how we need to use them in the future,

one growth factor that is depleted in depressed brains, called fibroblast growth factor 2, also plays a role in resilience. When they gave it to stressed animals, they bounced back faster and acted less depressed. And when they gave it just once after birth to animals that had been bred for high levels of anxiety and inhibition, they were hardier for the rest of their lives.

The good news is that we have some control over our own brain BDNF levels: Getting more physical exercise and social support, for example, has been shown to increase BDNF.

Perhaps someday we might be able to protect young people exposed to violence and adversity by supplementing them with neuroprotective growth factors. We know enough now to help them by fortifying their brains through exercise, mindfulness training and support systems

Some people have won the genetic sweepstakes and are naturally tough. But there is plenty the rest of us can do to be more resilient and healthier.

The agency also relies on industry data to develop rules on chemical safety that is often kept confidential for business reasons.

So why would he want to prohibit his own agency from using these studies? It’s not a mystery. Time and again the Trump administration has put the profits of regulated industries over the health of the American people. Fundamental research on the effects of air pollution on public health has long been a target of those who oppose the E.P.A.’s air quality regulations, like the rule that requires power plants to reduce their mercury emissions.

What none of these parents understand is that their children’s and teens’ destructive obsession with technology is the predictable consequence of a virtually unrecognized merger between the tech industry and psychology.

Dr. B.J. Fogg, is a psychologist and the father of persuasive technology, a discipline in which digital machines and apps — including smartphones, social media, and video games — are configured to alter human thoughts and behaviors. As the lab’s website boldly proclaims: “Machines designed to change humans.”

These parents have no idea that lurking behind their kids’ screens and phones are a multitude of psychologists, neuroscientists, and social science experts who use their knowledge of psychological vulnerabilities to devise products that capture kids’ attention for the sake of industry profit.

psychology — a discipline that we associate with healing — is now being used as a weapon against children.

This alliance pairs the consumer tech industry’s immense wealth with the most sophisticated psychological research, making it possible to develop social media, video games, and phones with drug-like power to seduce young users.

Likewise, social media companies use persuasive design to prey on the age-appropriate desire for preteen and teen kids, especially girls, to be socially successful. This drive is built into our DNA, since real-world relational skills have fostered human evolution.

Called “the millionaire maker,” Fogg has groomed former students who have used his methods to develop technologies that now consume kids’ lives. As he recently touted on his personal website, “My students often do groundbreaking projects, and they continue having impact in the real world after they leave Stanford… For example, Instagram has influenced the behavior of over 800 million people. The co-founder was a student of mine.”

Persuasive technology (also called persuasive design) works by deliberately creating digital environments that users feel fulfill their basic human drives — to be social or obtain goals — better than real-world alternatives.

Kids spend countless hours in social media and video game environments in pursuit of likes, “friends,” game points, and levels — because it’s stimulating, they believe that this makes them happy and successful, and they find it easier than doing the difficult but developmentally important activities of childhood.

While persuasion techniques work well on adults, they are particularly effective at influencing the still-maturing child and teen brain.

“Video games, better than anything else in our culture, deliver rewards to people, especially teenage boys,” says Fogg. “Teenage boys are wired to seek competency. To master our world and get better at stuff. Video games, in dishing out rewards, can convey to people that their competency is growing, you can get better at something second by second.”

it’s persuasive design that’s helped convince this generation of boys they are gaining “competency” by spending countless hours on game sites, when the sad reality is they are locked away in their rooms gaming, ignoring school, and not developing the real-world competencies that colleges and employers demand.

Persuasive technologies work because of their apparent triggering of the release of dopamine, a powerful neurotransmitter involved in reward, attention, and addiction.

As she says, “If you don’t get 100 ‘likes,’ you make other people share it so you get 100…. Or else you just get upset. Everyone wants to get the most ‘likes.’ It’s like a popularity contest.”

there are costs to Casey’s phone obsession, noting that the “girl’s phone, be it Facebook, Instagram or iMessage, is constantly pulling her away from her homework, sleep, or conversations with her family.

Casey says she wishes she could put her phone down. But she can’t. “I’ll wake up in the morning and go on Facebook just… because,” she says. “It’s not like I want to or I don’t. I just go on it. I’m, like, forced to. I don’t know why. I need to. Facebook takes up my whole life.”

B.J. Fogg may not be a household name, but Fortune Magazine calls him a “New Guru You Should Know,” and his research is driving a worldwide legion of user experience (UX) designers who utilize and expand upon his models of persuasive design.

“No one has perhaps been as influential on the current generation of user experience (UX) designers as Stanford researcher B.J. Fogg.”

the core of UX research is about using psychology to take advantage of our human vulnerabilities.

As Fogg is quoted in Kosner’s Forbes article, “Facebook, Twitter, Google, you name it, these companies have been using computers to influence our behavior.” However, the driving force behind behavior change isn’t computers. “The missing link isn’t the technology, it’s psychology,” says Fogg.

UX researchers not only follow Fogg’s design model, but also his apparent tendency to overlook the broader implications of persuasive design. They focus on the task at hand, building digital machines and apps that better demand users’ attention, compel users to return again and again, and grow businesses’ bottom line.

the “Fogg Behavior Model” is a well-tested method to change behavior and, in its simplified form, involves three primary factors: motivation, ability, and triggers.

“We can now create machines that can change what people think and what people do, and the machines can do that autonomously.”

Regarding ability, Fogg suggests that digital products should be made so that users don’t have to “think hard.” Hence, social networks are designed for ease of use

Finally, Fogg says that potential users need to be triggered to use a site. This is accomplished by a myriad of digital tricks, including the sending of incessant notifications

moral questions about the impact of turning persuasive techniques on children and teens are not being asked. For example, should the fear of social rejection be used to compel kids to compulsively use social media? Is it okay to lure kids away from school tasks that demand a strong mental effort so they can spend their lives on social networks or playing video games that don’t make them think much at all?

Describing how his formula is effective at getting people to use a social network, the psychologist says in an academic paper that a key motivator is users’ desire for “social acceptance,” although he says an even more powerful motivator is the desire “to avoid being socially rejected.”

the startup Dopamine Labs boasts about its use of persuasive techniques to increase profits: “Connect your app to our Persuasive AI [Artificial Intelligence] and lift your engagement and revenue up to 30% by giving your users our perfect bursts of dopamine,” and “A burst of Dopamine doesn’t just feel good: it’s proven to re-wire user behavior and habits.”

Ramsay Brown, the founder of Dopamine Labs, says in a KQED Science article, “We have now developed a rigorous technology of the human mind, and that is both exciting and terrifying. We have the ability to twiddle some knobs in a machine learning dashboard we build, and around the world hundreds of thousands of people are going to quietly change their behavior in ways that, unbeknownst to them, feel second-nature but are really by design.”

Programmers call this “brain hacking,” as it compels users to spend more time on sites even though they mistakenly believe it’s strictly due to their own conscious choices.

Banks of computers employ AI to “learn” which of a countless number of persuasive design elements will keep users hooked

A persuasion profile of a particular user’s unique vulnerabilities is developed in real time and exploited to keep users on the site and make them return again and again for longer periods of time. This drives up profits for consumer internet companies whose revenue is based on how much their products are used.

“The leaders of Internet companies face an interesting, if also morally questionable, imperative: either they hijack neuroscience to gain market share and make large profits, or they let competitors do that and run away with the market.”

Social media and video game companies believe they are compelled to use persuasive technology in the arms race for attention, profits, and survival.

Children’s well-being is not part of the decision calculus.

one breakthrough occurred in 2017 when Facebook documents were leaked to The Australian. The internal report crafted by Facebook executives showed the social network boasting to advertisers that by monitoring posts, interactions, and photos in real time, the network is able to track when teens feel “insecure,” “worthless,” “stressed,” “useless” and a “failure.”

The report also bragged about Facebook’s ability to micro-target ads down to “moments when young people need a confidence boost.”

These design techniques provide tech corporations a window into kids’ hearts and minds to measure their particular vulnerabilities, which can then be used to control their behavior as consumers. This isn’t some strange future… this is now.

The official tech industry line is that persuasive technologies are used to make products more engaging and enjoyable. But the revelations of industry insiders can reveal darker motives.

Revealing the hard science behind persuasive technology, Hopson says, “This is not to say that players are the same as rats, but that there are general rules of learning which apply equally to both.”

After penning the paper, Hopson was hired by Microsoft, where he helped lead the development of the Xbox Live, Microsoft’s online gaming system

“If game designers are going to pull a person away from every other voluntary social activity or hobby or pastime, they’re going to have to engage that person at a very deep level in every possible way they can.”

This is the dominant effect of persuasive design today: building video games and social media products so compelling that they pull users away from the real world to spend their lives in for-profit domains.

Persuasive technologies are reshaping childhood, luring kids away from family and schoolwork to spend more and more of their lives sitting before screens and phones.

“Since we’ve figured to some extent how these pieces of the brain that handle addiction are working, people have figured out how to juice them further and how to bake that information into apps.”

Today, persuasive design is likely distracting adults from driving safely, productive work, and engaging with their own children — all matters which need urgent attention

Still, because the child and adolescent brain is more easily controlled than the adult mind, the use of persuasive design is having a much more hurtful impact on kids.

But to engage in a pursuit at the expense of important real-world activities is a core element of addiction.

younger U.S. children now spend 5 ½ hours each day with entertainment technologies, including video games, social media, and online videos.

Even more, the average teen now spends an incredible 8 hours each day playing with screens and phones

U.S. kids only spend 16 minutes each day using the computer at home for school.

Quietly, using screens and phones for entertainment has become the dominant activity of childhood.

Younger kids spend more time engaging with entertainment screens than they do in school

teens spend even more time playing with screens and phones than they do sleeping

kids are so taken with their phones and other devices that they have turned their backs to the world around them.

many children are missing out on real-life engagement with family and school — the two cornerstones of childhood that lead them to grow up happy and successful

persuasive technologies are pulling kids into often toxic digital environments

A too frequent experience for many is being cyberbullied, which increases their risk of skipping school and considering suicide.

And there is growing recognition of the negative impact of FOMO, or the fear of missing out, as kids spend their social media lives watching a parade of peers who look to be having a great time without them, feeding their feelings of loneliness and being less than.

The combined effects of the displacement of vital childhood activities and exposure to unhealthy online environments is wrecking a generation.

as the typical age when kids get their first smartphone has fallen to 10, it’s no surprise to see serious psychiatric problems — once the domain of teens — now enveloping young kids

Self-inflicted injuries, such as cutting, that are serious enough to require treatment in an emergency room, have increased dramatically in 10- to 14-year-old girls, up 19% per year since 2009.

While girls are pulled onto smartphones and social media, boys are more likely to be seduced into the world of video gaming, often at the expense of a focus on school

it’s no surprise to see this generation of boys struggling to make it to college: a full 57% of college admissions are granted to young women compared with only 43% to young men.

Economists working with the National Bureau of Economic Research recently demonstrated how many young U.S. men are choosing to play video games rather than join the workforce.

The destructive forces of psychology deployed by the tech industry are making a greater impact on kids than the positive uses of psychology by mental health providers and child advocates. Put plainly, the science of psychology is hurting kids more than helping them.

Hope for this wired generation has seemed dim until recently, when a surprising group has come forward to criticize the tech industry’s use of psychological manipulation: tech executives

Tristan Harris, formerly a design ethicist at Google, has led the way by unmasking the industry’s use of persuasive design. Interviewed in The Economist’s 1843 magazine, he says, “The job of these companies is to hook people, and they do that by hijacking our psychological vulnerabilities.”

Marc Benioff, CEO of the cloud computing company Salesforce, is one of the voices calling for the regulation of social media companies because of their potential to addict children. He says that just as the cigarette industry has been regulated, so too should social media companies. “I think that, for sure, technology has addictive qualities that we have to address, and that product designers are working to make those products more addictive, and we need to rein that back as much as possible,”

“If there’s an unfair advantage or things that are out there that are not understood by parents, then the government’s got to come forward and illuminate that.”

Since millions of parents, for example the parents of my patient Kelly, have absolutely no idea that devices are used to hijack their children’s minds and lives, regulation of such practices is the right thing to do.

Another improbable group to speak out on behalf of children is tech investors.

How has the consumer tech industry responded to these calls for change? By going even lower.

Facebook recently launched Messenger Kids, a social media app that will reach kids as young as five years old. Suggestive that harmful persuasive design is now honing in on very young children is the declaration of Messenger Kids Art Director, Shiu Pei Luu, “We want to help foster communication [on Facebook] and make that the most exciting thing you want to be doing.”

the American Psychological Association (APA) — which is tasked with protecting children and families from harmful psychological practices — has been essentially silent on the matter

APA Ethical Standards require the profession to make efforts to correct the “misuse” of the work of psychologists, which would include the application of B.J. Fogg’s persuasive technologies to influence children against their best interests

Manipulating children for profit without their own or parents’ consent, and driving kids to spend more time on devices that contribute to emotional and academic problems is the embodiment of unethical psychological practice.

“Never before in history have basically 50 mostly men, mostly 20–35, mostly white engineer designer types within 50 miles of where we are right now [Silicon Valley], had control of what a billion people think and do.”

Some may argue that it’s the parents’ responsibility to protect their children from tech industry deception. However, parents have no idea of the powerful forces aligned against them, nor do they know how technologies are developed with drug-like effects to capture kids’ minds

Others will claim that nothing should be done because the intention behind persuasive design is to build better products, not manipulate kids

similar circumstances exist in the cigarette industry, as tobacco companies have as their intention profiting from the sale of their product, not hurting children. Nonetheless, because cigarettes and persuasive design predictably harm children, actions should be taken to protect kids from their effects.

in a 1998 academic paper, Fogg describes what should happen if things go wrong, saying, if persuasive technologies are “deemed harmful or questionable in some regard, a researcher should then either take social action or advocate that others do so.”

I suggest turning to President John F. Kennedy’s prescient guidance: He said that technology “has no conscience of its own. Whether it will become a force for good or ill depends on man.”

The APA should begin by demanding that the tech industry’s behavioral manipulation techniques be brought out of the shadows and exposed to the light of public awareness

Changes should be made in the APA’s Ethics Code to specifically prevent psychologists from manipulating children using digital machines, especially if such influence is known to pose risks to their well-being.

Moreover, the APA should follow its Ethical Standards by making strong efforts to correct the misuse of psychological persuasion by the tech industry and by user experience designers outside the field of psychology.

It should join with tech executives who are demanding that persuasive design in kids’ tech products be regulated

The APA also should make its powerful voice heard amongst the growing chorus calling out tech companies that intentionally exploit children’s vulnerabilities.

The living, breathing source of the data and images we juggle, meanwhile, is in the bed and left wondering: Where is everyone? What are they doing? Hello! It’s my body, you know

How we salivated at the idea of searchable records, of being able to graph fever trends, or white blood counts, or share records at a keystroke with another institution — “interoperability”

I can get cash and account details all over America and beyond. Yet I can’t reliably get a patient record from across town, let alone from a hospital in the same state, even if both places use the same brand of E.H.R

the leading E.H.R.s were never built with any understanding of the rituals of care or the user experience of physicians or nurses. A clinician will make roughly 4,000 keyboard clicks during a busy 10-hour emergency-room shift

In the process, our daily progress notes have become bloated cut-and-paste monsters that are inaccurate and hard to wade through. A half-page, handwritten progress note of the paper era might in a few lines tell you what a physician really thought

so much of the E.H.R., but particularly the physical exam it encodes, is a marvel of fiction, because we humans don’t want to leave a check box empty or leave gaps in a template.

For a study, my colleagues and I at Stanford solicited anecdotes from physicians nationwide about patients for whom an oversight in the exam (a “miss”) had resulted in real consequences, like diagnostic delay, radiation exposure, therapeutic or surgical misadventure, even death. They were the sorts of things that would leave no trace in the E.H.R. because the recorded exam always seems complete — and yet the omission would be glaring and memorable to other physicians involved in the subsequent care. We got more than 200 such anecdotes.

The reason for these errors? Most of them resulted from exams that simply weren’t done as claimed. “Food poisoning” was diagnosed because the strangulated hernia in the groin was overlooked, or patients were sent to the catheterization lab for chest pain because no one saw the shingles rash on the left chest.

I worry that such mistakes come because we’ve gotten trapped in the bunker of machine medicine. It is a preventable kind of failure

Our $3.4 trillion health care system is responsible for more than a quarter of a million deaths per year because of medical error, the rough equivalent of, say, a jumbo jet’s crashing every day.

Much of that is a result of poorly coordinated care, poor communication, patients falling through the cracks, knowledge not being transferred and so on, but some part of it is surely from failing to listen to the story and diminishing skill in reading the body as a text.

What if the computer gave the nurse the big picture of who he was both medically and as a person?

a professor at M.I.T. whose current interest in biomedical engineering is “bedside informatics,” marvels at the fact that in an I.C.U., a blizzard of monitors from disparate manufacturers display EKG, heart rate, respiratory rate, oxygen saturation, blood pressure, temperature and more, and yet none of this is pulled together, summarized and synthesized anywhere for the clinical staff to use

What these monitors do exceedingly well is sound alarms, an average of one alarm every eight minutes, or more than 180 per patient per day. What is our most common response to an alarm? We look for the button to silence the nuisance because, unlike those in a Boeing cockpit, say, our alarms are rarely diagnosing genuine danger.

By some estimates, more than 50 percent of physicians in the United States have at least one symptom of burnout, defined as a syndrome of emotional exhaustion, cynicism and decreased efficacy at work

It is on the increase, up by 9 percent from 2011 to 2014 in one national study. This is clearly not an individual problem but a systemic one, a 4,000-key-clicks-a-day problem.

The E.H.R. is only part of the issue: Other factors include rapid patient turnover, decreased autonomy, merging hospital systems, an aging population, the increasing medical complexity of patients. Even if the E.H.R. is not the sole cause of what ails us, believe me, it has become the symbol of burnou

burnout is one of the largest predictors of physician attrition from the work force. The total cost of recruiting a physician can be nearly $90,000, but the lost revenue per physician who leaves is between $500,000 and $1 million, even more in high-paying specialties.

I hold out hope that artificial intelligence and machine-learning algorithms will transform our experience, particularly if natural-language processing and video technology allow us to capture what is actually said and done in the exam room.

as with any lab test, what A.I. will provide is at best a recommendation that a physician using clinical judgment must decide how to apply.

True clinical judgment is more than addressing the avalanche of blood work, imaging and lab tests; it is about using human skills to understand where the patient is in the trajectory of a life and the disease, what the nature of the patient’s family and social circumstances is and how much they want done.

The seriously ill patient has entered another kingdom, an alternate universe, a place and a process that is frightening, infantilizing; that patient’s greatest need is both scientific state-of-the-art knowledge and genuine caring from another human being. Caring is expressed in listening, in the time-honored ritual of the skilled bedside exam — reading the body — in touching and looking at where it hurts and ultimately in localizing the disease for patients not on a screen, not on an image, not on a biopsy report, but on their bodies.

As he was nearing death, Avedis Donabedian, a guru of health care metrics, was asked by an interviewer about the commercialization of health care. “The secret of quality,” he replied, “is love.”/•/

Reading ability in kindergarten predicted reading, math and language skills later on; and math proficiency correlated with math and reading performance over time.

Measuring the impact of one skill on another, in addition to measuring growth in the same skill, provides more of a "whole child" perspective, Pace said. A child who enters school with little exposure to number sense or spatial concepts but with strong social skills may benefit from that emotional buffer.

Researchers expected to find that the effects of kindergarten readiness would wear off by third grade, the time when elementary school curriculum transitions from introducing foundational skills to helping students apply those skills as they delve deeper into content areas. But according to the study, children's performance in kindergarten continues to predict their performance in grades three through five.

The study also represents an opportunity to rethink what skills are considered measures of kindergarten-readiness, she said.

The findings suggest that a lot of the time, energy, and money poured into traditional campaigning methods is wasted, and that the campaign operatives hawking tried-and-true tactics don’t have the evidence to back up their claims.

It also casts doubt on the theory of the swing voter who can be persuaded with enough flyers, ad exposure, and conversations with earnest volunteers

In reality, Broockman and Kalla find, direct outreach is most effective at improving voter turnout, suggesting that campaigns should focus on getting their core supporters to the polls than reaching out to a mythical middle.

This new study suggests that intentionally curated, issue-specific persuasion campaigns may shift people’s views more easily than partisan political campaigns.

Emma Green: So, is political campaigning useless?Joshua Kalla: The short answer is ‘no.

There are lots of things that campaigning can accomplish. Two decades of research on voter registration and hundreds of field experiments show really cost-effective ways to increase turnout in the base.But on persuasion, yes, we find that on average, there are very small effects.

Kalla: A lot of campaign operatives think there’s this big pool of moderate, undecided voters that we can spend money on to persuade them to our side. That strategy is probably not the right strategy. And we should be skeptical of big claims of persuasion.

Kalla: All the money is being poured into the same time and the same place. It’s hard to imagine that the hundredth TV ad that a person views is really worth it from a monetary perspective, versus that same money spent in a different race or a lower race. There’s a case to be made that too much money is being spent in the same ways and on the same people.

But the takeaway from this paper should not be that campaigns should stop. Campaigns do a lot of work that is measurable in return on getting voters to vote, and persuading voters. It’s just a question of how the money is spent.

Kalla: The first order of understanding an election and how people vote is partisan identity. Most people vote based on whether there’s a D or an R next to their name. Unpacking that should be more the focus than the horserace.

We don’t see persuasive effects in general elections where a Democrat is talking to a Republican. But in ballot-measure campaigns and primaries and the transgender work, it seems that persuasion is possible.

Most Americans view themselves in a partisan lens. When it comes time to vote, it’s less a function of a person running for office than a person with a party label beside his or her name.

Green: But what about the roughly 39 percent of Americans who identify as independents?Kalla: A lot of independents tend to be what political scientists term as “closeted partisans.” They might not explicitly identify with a party, but if you ask them which party they lean toward, they’ll often give you an answer. Their behavior tends to look a lot like the behavior of people who explicitly identify as partisans.

Green: Our democracy is based on this romantic idea that encounters in the public square—conversations, essays, speeches, etc.— have the power to change how people view the world. If you’re saying that’s basically not true, where does that leave us? Are we all just destined to remain isolated in the prisons of our own convictions?

Kalla: I want to draw a distinction with the transgender canvassing work. That was very much focusing on getting people to be introspective and think about times that they or their loved ones have been discriminated against, and how that made them feel, and how that real, lived experience informs their views on non-discrimination laws and views toward LGBT people. That’s close to an ideal of how we want democracy to function.

That’s not the type of discourse you see in campaigns. I don’t think TV ads or every glossy postcard is really going to lead to enlightened discourse among the American public.

This is a key point about language use: rarely is natural language ever limited to speech alone. When we are speaking, we constantly use gestures to illustrate what we mean. For this reason, linguists say that language is “multi-modal”. Writing takes away that extra non-verbal information, but emoji may allow us to re-incorporate it into our text.

Emoji are not always used as embellishments, however – sometimes, strings of the characters can themselves convey meaning in a longer sequence on their own. But to constitute their own language, they would need a key component: grammar.

A grammatical system is a set of constraints that governs how the meaning of an utterance is packaged in a coherent way. Natural language grammars have certain traits that distinguish them. For one, they have individual units that play different roles in the sequence – like nouns and verbs in a sentence. Also, grammar is different from meaning

When emoji are isolated, they are primarily governed by simple rules related to meaning alone, without these more complex rules. For instance, according to research by Tyler Schnoebelen, people often create strings of emoji that share a common meaning

This sequence has little internal structure; even when it is rearranged, it still conveys the same message. These images are connected solely by their broader meaning. We might consider them to be a visual list: “here are all things related to celebrations and birthdays.” Lists are certainly a conventionalised way of communicating, but they don’t have grammar the way that sentences do.

What if the order did matter though? What if they conveyed a temporal sequence of events? Consider this example, which means something like “a woman had a party where they drank, and then opened presents and then had cake”:

These rules may seem like the seeds of grammar, but psycholinguist Susan Goldin-Meadow and colleagues have found this order appears in many other systems that would not be considered a language. For example, this order appears when people arrange pictures to describe events from an animated cartoon, or when speaking adults communicate using only gestures. It also appears in the gesture systems created by deaf children who cannot hear spoken languages and are not exposed to sign languages.

In all cases, the doer of the action (the agent) precedes the action. In fact, this pattern is commonly found in both full languages and simple communication systems. For example, the majority of the world’s languages place the subject before the verb of a sentence.

describes the children as lacking exposure to a language and thus invent their own manual systems to communicate, called “homesigns”. These systems are limited in the size of their vocabularies and the types of sequences they can create. For this reason, the agent-act order seems not to be due to a grammar, but from basic heuristics – practical workarounds – based on meaning alone. Emoji seem to tap into this same system.

Nevertheless, some may argue that despite emoji’s current simplicity, this may be the groundwork for emerging complexity – that although emoji do not constitute a language at the present time, they could develop into one over time.

Could an emerging “emoji visual language” be developing in a similar way, with actual grammatical structure? To answer that question, you need to consider the intrinsic constraints on the technology itself.Emoji are created by typing into a computer like text. But, unlike text, most emoji are provided as whole units, except for the limited set of emoticons which convert to emoji, like :) or ;). When writing text, we use the building blocks (letters) to create the units (words), not by searching through a list of every whole word in the language.

emoji force us to convey information in a linear unit-unit string, which limits how complex expressions can be made. These constraints may mean that they will never be able to achieve even the most basic complexity that we can create with normal and natural drawings.

What’s more, these limits also prevent users from creating novel signs – a requisite for all languages, especially emerging ones. Users have no control over the development of the vocabulary. As the “vocab list” for emoji grows, it will become increasingly unwieldy: using them will require a conscious search process through an external list, not an easy generation from our own mental vocabulary, like the way we naturally speak or draw. This is a key point – it means that emoji lack the flexibility needed to create a new language.

we already have very robust visual languages, as can be seen in comics and graphic novels. As I argue in my book, The Visual Language of Comics, the drawings found in comics use a systematic visual vocabulary (such as stink lines to represent smell, or stars to represent dizziness). Importantly, the available vocabulary is not constrained by technology and has developed naturally over time, like spoken and written languages.

grammar of sequential images is more of a narrative structure – not of nouns and verbs. Yet, these sequences use principles of combination like any other grammar, including roles played by images, groupings of images, and hierarchic embedding.

measured participants’ brainwaves while they viewed sequences one image at a time where a disruption appeared either within the groupings of panels or at the natural break between groupings. The particular brainwave responses that we observed were similar to those that experimenters find when violating the syntax of sentences. That is, the brain responds the same way to violations of “grammar”, whether in sentences or sequential narrative images.

I would hypothesise that emoji can use a basic narrative structure to organise short stories (likely made up of agent-action sequences), but I highly doubt that they would be able to create embedded clauses like these. I would also doubt that you would see the same kinds of brain responses that we saw with the comic strip sequences.

Vice President Mike Pence to enact the 25th Amendment on the House floor.

House Democrat introduces resolution calling on Pence to invoke 25th Amendment

“Total waste of time,”

 reject the call to invoke the 25th Amendment to remove President Trump.

Pence also wrote that invoking the 25th Amendment "in such a manner would set a terrible precedent."

He urged Pelosi and all members of Congress to "lower the temperature and unite our country as we prepare to inaugurate President-elect Joe Biden."

a pardon could stave off prosecution."

main concern is protecting himself and his family.

The riot at the Capitol raises the potential of new legal exposure for the President

Trump defended his remarks from Jan. 6, saying they were "appropriate

Trump might issue a blanket pardon to cover himself and his children up

he thinks that he and his family have been unfairly targeted

attack on the Capitol creates a new dynamic surrounding the messaging and "public relations"

there are many reasons our tree canopy is declining, including hurricanes, tornadoes, fires, insects and disease.

But the one reason for tree loss that humans can control is sensible development.

“Every time we put a road down, we put a building and we cut a tree or add a tree, it not only affects that site, it affects the region.”

The study placed a value on tree loss based on trees’ role in air pollution removal and energy conservation. The lost value amounted to $96 million a year.

Trees provide shade for homes, office buildings, parks and roadways, cooling surface temperatures.

Trees absorb carbon and remove pollutants from the atmosphere.

Trees reduce energy costs by $4 billion a year, according to Nowak’s study.

Trees act as water filters, taking in dirty surface water and absorbing nitrogen and phosphorus into the soil.

Trees reduce flooding by absorbing water and reducing runoff into streams.

Trees can deflect sound

Trees absorb 96% of ultraviolet radiation, Nowak says.

Many studies have found connections between exposure to nature and better mental and physical health.

And studies have associated living near green areas with lower death rates.

Worldwide, forests provide for a huge diversity of animal life.

there’s a downside to trees too, such as pollen allergies or large falling branches in storms, “and people don’t like raking leaves.”

Urban forests especially need our help to replace fallen trees. Unlike rural areas, it is very difficult for trees to repopulate themselves in a city environment with so much pavement and asphalt.

Don’t remove old trees if it’s not necessary: Instead, try taking smaller actions like removing branches.

This habituation stems from a principle well-known in psychological therapy: The more we’re exposed to a given threat, the less intimidating it seems.

As the pandemic drags on, people are unknowingly performing a kind of exposure therapy on themselves, said University of Oregon psychologist Paul Slovic, author of “The Perception of Risk” — and the results can be deadly.

“You have an experience and the experience is benign. It feels okay and comfortable. It’s familiar. Then you do it again,” Slovic said. “If you don’t see anything immediately bad happening, your concerns get deconditioned.”

The end result of all this desensitizing is a kind of overriding heedlessness decoupled from evidence — the anti-mask movements, the beach gatherings, the overflowing dance parties

One of the best ways to reinforce a certain behavior is to make sure that behavior is rewarded and that deviations from it are punished (or ignored).

But when it comes to lifesaving behaviors such as mask-wearing or staying home from parties, this reward-punishment calculus gets turned on its head.

With parties, when you do the right thing and stay home, “you feel an immediate cost: You’re not able to be with your friends,

while there is an upside to this decision — helping to stop the spread of the virus — it feels distant. “The benefit is invisible, but the costs are very tangible.”

By contrast, Slovic said, when you flout guidelines about wearing masks or avoiding gatherings, you get an immediate reward: You rejoice at not having to breathe through fabric, or you enjoy celebrating a close friend’s birthday in person.

Because risk perception fails as we learn to live with covid-19, Griffin and other researchers are calling for the renewal of tough government mandates to curb virus spread. They see measures such as strict social distancing, enforced masking outside the home and stay-at-home orders as perhaps the only things that can protect us from our own faulty judgment.

But these kinds of measures aren’t enough on their own, Griffin said. It’s also important for authorities to supply in-your-face reminders of those mandates, especially visual cues, so people won’t draw their own erroneous conclusions about what’s safe.

“A few parks have drawn circles [on their lawns]: ‘Don’t go out of the circle,’ ” Griffin said. “We need to take those kinds of metaphors and put them throughout the entire day.”

“The first step is awareness that sometimes you can’t trust your feelings.”

For people considering how to assess covid-19 risks, Slovic advised pivoting from emotionally driven gut reactions to what psychologist Daniel Kahneman — winner of the 2002 Nobel Prize in economics for his integration of psychological research into economic science — calls “slow thinking.” That means making decisions based on careful analysis of the evidence. “You need to either do the slow thinking yourself,” Slovic said, “or trust experts who do the slow thinking and understand the situation.”

Thousands of us are less afraid than we were at the pandemic’s outset, even though in many parts of the country mounting case counts have increased the danger of getting the virus. We’re swarming the beaches and boardwalks, often without masks.

what it means to have been in “close contact”

cumulative

He wore a mask, but there were times during the day when he was with individuals who did not.

nd it will likely change how schools and offices handle positive cases. If, say, a child is exposed to a person with COVID-19 for five minutes at three points during the day, there may need to be considerations for quarantine

his second round of illness was much more severe and required hospitalization.

virus twice

it appears to be extremely rare as of now.

There just has not been a lot of data so far.

Also, just because a person no longer has antibodies does not mean they’ve necessarily lost immunity

Researchers analyzed child care centers that stayed open throughout the pandemic and found that employees who watched those kids all day were not at any greater risk of contracting COVID-19 than they would have been otherwise.

wear a mask.

five months

under the age of 6

Perhaps most importantly, day cares were generally very good about preventive measures, especially hand-washing and disinfecting frequently.

the virus may be associated with significant mental decline in some cases.

They found that some test-takers who had had COVID-19 had an “equivalent to the average 10-year decline in global performance between the ages of 20 to 70,” the researchers said.

Still, the new research provides clues about COVID-19′s long-term effects, and it’s certainly something experts will be paying attention to moving forward.

Chronic poor sleep can cause a whole range of mental and physical health issues, including depression and heart disease.

In many cases, they may help the dreamer ameliorate some of their daytime anxieties. Research has found that nightmares can help some people learn to better manage stress.

In much the same way, nightmares—especially those following an upsetting event—may allow a person’s brain to relive the event and move past it, Nadorff says.

“We have the person talk through their nightmare and change it in a way that’s not threatening, and then they practice the new dream during the day using visual imagery,” Nadorff explains. This kind of daily rehearsal can help reshape the scary dream even while a person is sleeping.

But recent research in my lab suggested that people don’t agree much about what, if anything, they hear in the EVP sounds – a result readily explained by the fallibility of human perception.

In some instances, alleged EVP are the voices of the investigators or interference from radio transmissions – problems that indicate shoddy data collection practices. Other research, however, has suggested that EVP have been captured under acoustically controlled circumstances in recording studios.

Research in mainstream psychology has shown that people will readily perceive words in strings of nonsensical speech sounds.

People’s expectations about what they’re supposed to hear can result in the illusory perception of tones, nature sounds, machine sounds, and even voices when only acoustic white noise – like the sound of a detuned radio – exists.

Interpretations of speech in noise – a situation similar to EVP where the alleged voice is difficult to discern – can shift entirely based upon what the listener expects to hear.

In my lab, we recently conducted an experiment to examine how expectations might influence the perception of purported EVP

So suggesting a paranormal research topic mattered only when the audio was ambiguous.

when people said they heard a voice in the EVP, only 13% agreed about exactly what the voice said. To compare, 95% percent of people on average agreed about what the voice said when they heard actual speech.

These findings suggest that paranormal researchers should not use their own subjective judgments to confirm the contents of EVP.

But perhaps most importantly, we showed that the mere suggestion of a paranormal research context made people more likely to hear voices in ambiguous stimuli, although they couldn’t agree on what the voices were saying.

pareidolia – the tendency to perceive human characteristics in meaningless perceptual patterns

There are many visual examples of pareidolia – things like seeing human faces in everyday objects (such as Jesus in a piece of toast).

Research from cognitive psychology has shown that paranormal believers may be especially prone to misperceiving chance events.

Another characteristic of pseudoscience is a lack of integration with related areas of inquiry. There is a rich history of using experimental methods to examine auditory perception, yet EVP enthusiasts are either unaware or willfully ignorant of this relevant work.

parsimony – the idea that the simplest explanation is preferred

we need a theory to account for how and why a human listener sometimes misperceives ambiguous stimuli.

In fact, this very tendency is one of many well-documented cognitive shortcuts that may have adaptive value. A voice may indicate the presence of a potential mate or foe, so it may be useful to err on the side of perceiving agency in ambiguous auditory stimuli.

Currently, there is only limited, tentative evidence to link exposure to pseudoscience on television to pseudoscientific beliefs. Still, one study showed that people find paranormal research to be more credible and scientific when it is shown using technological tools such as recording devices. Other evidence has suggested that popular opinion may outweigh scientific credibility when people evaluate pseudoscientific claims.

Our brain is hard wired to make sense.

our brain works in a way if it doesn’t understand what the eyes perceive or “see” it makes a picture for us.

The strange thing is, our minds are wired to hear and see things that make sense, like hearing words or talking due to fluctuations in sound itself.

Not everything we hear or see is paranormal. Sadly as a researcher you’ll deal with some individuals that think everything is spirit, but that is far from “reality.”

Many individuals use white noise to sleep; it is very common for people to use fans and white noise machines, these are the most common source and they’re very popular.

Noise is classified by different colours, each is made up of different sound properties and frequencies.

While there’s isn’t significant evidence in humans to suggest that lower-volume sound like background white noise could bring about these kinds of changes in the central auditory system, Attarha’s team cite animal studies that suggest prolonged exposure in animals does affect their brains.