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in general what he argues is that if you take a look at animal cognition, human too, it's computational systems. Therefore, you want to look the units of computation. Think about a Turing machine, say, which is the simplest form of computation, you have to find units that have properties like "read", "write" and "address." That's the minimal computational unit, so you got to look in the brain for those. You're never going to find them if you look for strengthening of synaptic connections or field properties, and so on. You've got to start by looking for what's there and what's working and you see that from Marr's highest level.

it's basically in the spirit of Marr's analysis. So when you're studying vision, he argues, you first ask what kind of computational tasks is the visual system carrying out. And then you look for an algorithm that might carry out those computations and finally you search for mechanisms of the kind that would make the algorithm work. Otherwise, you may never find anything.

"Good Old Fashioned AI," as it's labeled now, made strong use of formalisms in the tradition of Gottlob Frege and Bertrand Russell, mathematical logic for example, or derivatives of it, like nonmonotonic reasoning and so on. It's interesting from a history of science perspective that even very recently, these approaches have been almost wiped out from the mainstream and have been largely replaced -- in the field that calls itself AI now -- by probabilistic and statistical models. My question is, what do you think explains that shift and is it a step in the right direction?

AI and robotics got to the point where you could actually do things that were useful, so it turned to the practical applications and somewhat, maybe not abandoned, but put to the side, the more fundamental scientific questions, just caught up in the success of the technology and achieving specific goals.

The approximating unanalyzed data kind is sort of a new approach, not totally, there's things like it in the past. It's basically a new approach that has been accelerated by the existence of massive memories, very rapid processing, which enables you to do things like this that you couldn't have done by hand. But I think, myself, that it is leading subjects like computational cognitive science into a direction of maybe some practical applicability... ..in engineering? Chomsky: ...But away from understanding.

I was very skeptical about the original work. I thought it was first of all way too optimistic, it was assuming you could achieve things that required real understanding of systems that were barely understood, and you just can't get to that understanding by throwing a complicated machine at it.

if success is defined as getting a fair approximation to a mass of chaotic unanalyzed data, then it's way better to do it this way than to do it the way the physicists do, you know, no thought experiments about frictionless planes and so on and so forth. But you won't get the kind of understanding that the sciences have always been aimed at -- what you'll get at is an approximation to what's happening.

Suppose you want to predict tomorrow's weather. One way to do it is okay I'll get my statistical priors, if you like, there's a high probability that tomorrow's weather here will be the same as it was yesterday in Cleveland, so I'll stick that in, and where the sun is will have some effect, so I'll stick that in, and you get a bunch of assumptions like that, you run the experiment, you look at it over and over again, you correct it by Bayesian methods, you get better priors. You get a pretty good approximation of what tomorrow's weather is going to be. That's not what meteorologists do -- they want to understand how it's working. And these are just two different concepts of what success means, of what achievement is.

if you get more and more data, and better and better statistics, you can get a better and better approximation to some immense corpus of text, like everything in The Wall Street Journal archives -- but you learn nothing about the language.

the right approach, is to try to see if you can understand what the fundamental principles are that deal with the core properties, and recognize that in the actual usage, there's going to be a thousand other variables intervening -- kind of like what's happening outside the window, and you'll sort of tack those on later on if you want better approximations, that's a different approach.

take a concrete example of a new field in neuroscience, called Connectomics, where the goal is to find the wiring diagram of very complex organisms, find the connectivity of all the neurons in say human cerebral cortex, or mouse cortex. This approach was criticized by Sidney Brenner, who in many ways is [historically] one of the originators of the approach. Advocates of this field don't stop to ask if the wiring diagram is the right level of abstraction -- maybe it's no

if you went to MIT in the 1960s, or now, it's completely different. No matter what engineering field you're in, you learn the same basic science and mathematics. And then maybe you learn a little bit about how to apply it. But that's a very different approach. And it resulted maybe from the fact that really for the first time in history, the basic sciences, like physics, had something really to tell engineers. And besides, technologies began to change very fast, so not very much point in learning the technologies of today if it's going to be different 10 years from now. So you have to learn the fundamental science that's going to be applicable to whatever comes along next. And the same thing pretty much happened in medicine.

that's the kind of transition from something like an art, that you learn how to practice -- an analog would be trying to match some data that you don't understand, in some fashion, maybe building something that will work -- to science, what happened in the modern period, roughly Galilean science.

it turns out that there actually are neural circuits which are reacting to particular kinds of rhythm, which happen to show up in language, like syllable length and so on. And there's some evidence that that's one of the first things that the infant brain is seeking -- rhythmic structures. And going back to Gallistel and Marr, its got some computational system inside which is saying "okay, here's what I do with these things" and say, by nine months, the typical infant has rejected -- eliminated from its repertoire -- the phonetic distinctions that aren't used in its own language.

people like Shimon Ullman discovered some pretty remarkable things like the rigidity principle. You're not going to find that by statistical analysis of data. But he did find it by carefully designed experiments. Then you look for the neurophysiology, and see if you can find something there that carries out these computations. I think it's the same in language, the same in studying our arithmetical capacity, planning, almost anything you look at. Just trying to deal with the unanalyzed chaotic data is unlikely to get you anywhere, just like as it wouldn't have gotten Galileo anywhere.

with regard to cognitive science, we're kind of pre-Galilean, just beginning to open up the subject

You can invent a world -- I don't think it's our world -- but you can invent a world in which nothing happens except random changes in objects and selection on the basis of external forces. I don't think that's the way our world works, I don't think it's the way any biologist thinks it is. There are all kind of ways in which natural law imposes channels within which selection can take place, and some things can happen and other things don't happen. Plenty of things that go on in the biology in organisms aren't like this. So take the first step, meiosis. Why do cells split into spheres and not cubes? It's not random mutation and natural selection; it's a law of physics. There's no reason to think that laws of physics stop there, they work all the way through. Well, they constrain the biology, sure. Chomsky: Okay, well then it's not just random mutation and selection. It's random mutation, selection, and everything that matters, like laws of physics.

What I think is valuable is the history of science. I think we learn a lot of things from the history of science that can be very valuable to the emerging sciences. Particularly when we realize that in say, the emerging cognitive sciences, we really are in a kind of pre-Galilean stage. We don't know wh

at we're looking for anymore than Galileo did, and there's a lot to learn from that.

For Bronowski, science and art were two neighboring mighty rivers that flowed from a common source: the human imagination.

For Dr. Bronowski, there was no absolute knowledge and anyone who claims it — whether a scientist, a politician or a religious believer — opens the door to tragedy. All scientific information is imperfect and we have to treat it with humility. Such, for him, was the human condition.

This is the condition for what we can know, but it is also, crucially, a moral lesson. It is the lesson of 20th-century painting from Cubism onwards, but also that of quantum physics. All we can do is to push deeper and deeper into better approximations of an ever-evasive reality

Errors are inextricably bound up with pursuit of human knowledge, which requires not just mathematical calculation but insight, interpretation and a personal act of judgment for which we are responsible.

Dr. Bronowski insisted that the principle of uncertainty was a misnomer, because it gives the impression that in science (and outside of it) we are always uncertain. But this is wrong. Knowledge is precise, but that precision is confined within a certain toleration of uncertainty.

The emphasis on the moral responsibility of knowledge was essential for all of Dr. Bronowski’s work. The acquisition of knowledge entails a responsibility for the integrity of what we are as ethical creatures.

Pursuing knowledge means accepting uncertainty. Heisenberg’s principle has the consequence that no physical events can ultimately be described with absolute certainty or with “zero tolerance,” as it were. The more we know, the less certain we are.

Our relations with others also require a principle of tolerance. We encounter other people across a gray area of negotiation and approximation. Such is the business of listening and the back and forth of conversation and social interaction.

For Dr. Bronowski, the moral consequence of knowledge is that we must never judge others on the basis of some absolute, God-like conception of certainty. All knowledge, all information that passes between human beings, can be exchanged only within what we might call “a play of tolerance,” whether in science, literature, politics or religion.

The play of tolerance opposes the principle of monstrous certainty that is endemic to fascism and, sadly, not just fascism but all the various faces of fundamentalism. When we think we have certainty, when we aspire to the knowledge of the gods, then Auschwitz can happen and can repeat itself.

The pursuit of scientific knowledge is as personal an act as lifting a paintbrush or writing a poem, and they are both profoundly human. If the human condition is defined by limitedness, then this is a glorious fact because it is a moral limitedness rooted in a faith in the power of the imagination, our sense of responsibility and our acceptance of our fallibility. We always have to acknowledge that we might be mistaken.

Medieval science was guided by "logical consistency."

The logical empiricist's conception of scientific progress was thus a continuous one; more comprehensive theory replaced compatible, older theory

Hempel also believed that science evolved in a continuous manner. New theory did not contradict past theory: "theory does not simply refute the earlier empirical generalizations in its field; rather, it shows that within a certain limited range defined by qualifying conditions, the generalizations hold true in fairly close approximation." [21]

movement combined induction, based on empiricism, and deduction in the form of logic

e notion of scientific realism held by Newton led to the evolutionary view of the progress of science

he entities and processes of theory were believed to exist in nature, and science should discover those entities and processes

Particularly disturbing discoveries were made in the area of atomic physics. For instance, Heisenberg's indeterminacy (25)principle, according to historian of science Cecil Schneer, yielded the conclusion that "the world of nature is indeterminate.

"even the fundamental principle of causality fail[ed] ."

was not until the second half of the twentieth century that the preservers of the evolutionary idea of scientific progress, the logical empiricists, were seriously challenged

revolutionary model of scientific change and examined the role of the scientific community in preventing and then accepting change. Kuhn's conception of scientific change occurring through revolutions undermined the traditional scientific goal, finding "truth" in nature

Textbooks inform scientists-to-be about this common body of knowledge and understanding.

for the world is too huge and complex to be explored randomly.

a scientist knows what facts are relevant and can build on past research

Normal science, as defined by Kuhn, is cumulative. New knowledge fills a gap of ignorance

ne standard product of the scientific enterprise is missing. Normal science does not aim at novelties of fact or theory and, when successful, finds none."

ntain a mechanism that uncovers anomaly, inconsistencies within the paradigm.

eventually, details arise that are inconsistent with the current paradigm

hese inconsistencies are eventually resolved or are ignored.

y concern a topic of central importance, a crisis occurs and normal science comes to a hal

that the scientists re-examine the foundations of their science that they had been taking for granted

it resolves the crisis better than the others, it offers promise for future research, and it is more aesthetic than its competitors. The reasons for converting to a new paradigm are never completely rational.

Unlike evolutionary science, in which new knowledge fills a gap of ignorance, in Kuhn's model new knowledge replaces incompatible knowledge.

In a sense, we have circled back to the ancient and medieval practice of separating scientific theory from physical reality; both medieval scientists and Kuhn would agree that no theory corresponds to reality and therefore any number of theories might equally well explain a natural phenomenon. [36] Neither twentieth-century atomic theorists nor medieval astronomers are able to claim that their theories accurately describe physical phenomena. The inability to return to scientific realism suggests a tripartite division of the history of science, with a period of scientific realism fitting between two periods in which there is no insistence that theory correspond to reality. Although both scientific realism and the evolutionary idea of scientific progress appeal to common sense, both existed for only a few hundred years.

all you're guaranteed is a chance to make the woman fall for you.

Based on a six-month study of dates successfully brokered through the site, they found that "men who want to date women over 10 years younger than themselves have to pay approximately 13% more than the average to close every year of age gap." A man 40 years older than his object of affection "will have to pay approximately 400% (or 4 times) more than a man who is only 10 years older to attract the interest of the same woman,"

I was using what trainers call "approximations," rewarding the small steps toward learning a whole new behavior. You can't expect a baboon to learn to flip on command in one session, just as you can't expect an American husband to begin regularly picking up his dirty socks by praising him once for picking up a single sock.

With Scott the husband, I began to praise every small act every time: if he drove just a mile an hour slower, tossed one pair of shorts into the hamper, or was on time for anything.

Enlightened trainers learn all they can about a species, from anatomy to social structure, to understand how it thinks, what it likes and dislikes, what comes easily to it and what doesn't.

(50.4 percent) of cases are mild

the pooled percentage was 45.2 percent for the combined group of mild AD dementia and MCI that later progressed to AD.

We found that approximately 45 percent of all those who are cognitively impaired or diagnosed with AD-dementia had early AD.

Diagnosis and severity were assessed by consensus dementia review.

According to the researchers the finding that half of the people living with AD have mild disease underscores the need for research and interventions to slow decline or prevent progression of this burdensome disease.

The researchers believe that most people who have AD are still at a stage when there is still some preserved quality of life.

in the face of a publicly available birth certificate of the 44th President of the United States, there are diverse opinions regarding his birthplace.

But what actually determines whether someone will be persuaded by our argument or whether we will be ignored?

In one study, for example, my colleague Micha Edelson and I, together with others, recorded people’s brain activity while we exposed them to misinformation. A week later we invited everyone back to our lab and told them that the information we gave them before was randomly generated. About half the time our volunteers were able to correct the false beliefs we induced in them, but about half the time they continued believing misinformation.

Science has shown that waiting just a couple of minutes before making judgments reduces the likelihood that they will be based solely on instinct.

good news was more likely to impact people’s beliefs than bad news. But that under stress, negative information, such as learning about unexpectedly high rates of disease and violent acts, is more likely to alter people’s beliefs.

Twitter is perfectly designed to engage our emotions because its features naturally call on our affective system; messages are fast, short and transferred within a social context.

information on Twitter (and other social platforms that use short and fast messages) is particularly likely to be evaluated based on emotional responses with little input from higher cognitive functions.

This structure is called the amygdala and it is important for producing emotional arousal. We found that if the amygdala was activated when people were first exposed to misinformation, it was less likely we would be able to correct their judgments later.

people’s feelings, hopes and fears that play a central role in whether a piece of evidence will influence their beliefs.

While education used to revolve around learning Latin, Greek, and philosophy (even today, literacy rates are high at approximately 99%), the education system today is well-rounded.

The government invests heavily in education, approximately 8% of its budget, and education is free for students until they turn 15 or 16 years old.

The public system is divided into six years of primary school, three years of secondary school, and then three years of either academic or vocational school.

allows students time each day to take a course of their choice that isn't included in their regular curriculum

. Students in South Korea take education seriously: many also are involved in supplemental tutoring and after-school programs called "hagwons."

The link between countries with outstanding educational systems and strong financial service sectors is becoming increasingly prominent, and the speed with which nations recovered from the effects of the global recession also showcased extraordinary robustnes

It is interesting to note that each nation is extremely federated, flexible, and far removed from the centralized model favored historically by developed nations.

Administering a nationally representative phone survey with 1,008 respondents, they found that people who got most of their information from mainstream print and broadcast outlets tended to have an accurate assessment of the severity of the pandemic and their risks of infection.

But those who relied on conservative sources, such as Fox News and Rush Limbaugh, were more likely to believe in conspiracy theories or unfounded rumors, such as the belief that taking vitamin C could prevent infection, that the Chinese government had created the virus, and that the U.S. Centers for Disease Control and Prevention was exaggerating the pandemic’s threat “to damage the Trump presidency.”

“The effect that we measure could be driven by the long-term message of Fox News, which is that the mainstream media often report ‘fake news’ and have a political agenda,” Simonov said. “This could result in lowering trust in institutions and experts, including health experts in the case of the pandemic.”

Our results indicate that a one standard deviation increase in relative viewership of Hannity relative to Tucker Carlson Tonight is associated with approximately 32 percent more COVID-19 cases on March 14 and approximately 23 percent more COVID-19 deaths on March 28,

“If the results hold, the research demonstrates the influence that broadcast media can have on behavior,”

I don’t know if that sounds too complicated. But the point is, it’s not just giving up domination. It’s giving up this sense of separateness in favor of a sense of kinship. And those people who do often wonder how they failed to see how much continuity there is in the more-than-human world with the human world.

to go from terror into being and into that sense that the experiment is sacred, not this one outcome of the experiment, is to immediately transform the way that you think even about very fundamental social and economic and cultural things. If the experiment is sacred, how can we possibly justify our food systems, for instance?

when I first went to the Smokies and hiked up into the old growth in the Southern Appalachians, it was like somebody threw a switch. There was some odd filter that had just been removed, and the world sounded different and smelled different.

richard powersYeah. In human exceptionalism, we may be completely aware of evolutionary continuity. We may understand that we have a literal kinship with the rest of creation, that all life on Earth employs the same genetic code, that there is a very small core of core genes and core proteins that is shared across all the kingdoms and phyla of life. But conceptually, we still have this demented idea that somehow consciousness creates a sanctity and a separation that almost nullifies the continuous elements of evolution and biology that we’ve come to understand.

if we want to begin this process of rehabilitation and transformation of consciousness that we are going to need in order to become part of the living Earth, it is going to be other kinds of minds that give us that clarity and strength and diversity and alternative way of thinking that could free us from this stranglehold of thought that looks only to the maximizing return on investment in very leverageable ways.

richard powersIt amazed me to get to the end of the first draft of “Bewilderment” and to realize how much Buddhism was in the book, from the simplest things.

I think there is nothing more science inflected than being out in the living world and the more-than-human world and trying to understand what’s happening.

And of course, we can combine this with what we were talking about earlier with death. If we see all of evolution as somehow leading up to us, all of human, cultural evolution leading up to neoliberalism and here we are just busily trying to accumulate and make meaning for ourselves, death becomes the enemy.

And you’re making the point in different ways throughout the book that it is the minds we think of as unusual, that we would diagnose as having some kind of problem or dysfunction that are, in some cases, are the only ones responding to the moment in the most common sense way it deserves. It is almost everybody else’s brain that has been broken.

it isn’t surprising. If you think of the characteristics of this dominant culture that we’ve been talking about — the fixation on control, the fixation on mastery, the fixation on management and accumulation and the resistance of decay — it isn’t surprising that that culture is also threatened by difference and divergence. It seeks out old, stable hierarchies — clear hierarchies — of control, and anything that’s not quite exploitable or leverageable in the way that the normal is terrifying and threatening.

And the more I looked for it, the more it pervaded the book.

ezra kleinI’ve heard you say that it has changed the way you measure a good day. Can you tell me about that?richard powersThat’s true.I suppose when I was still enthralled to commodity-mediated individualist market-driven human exceptionalism — we need a single word for this

And since moving to the Smokies and since publishing “The Overstory,” my days have been entirely inverted. I wake up, I go to the window, and I look outside. Or I step out onto the deck — if I haven’t been sleeping on the deck, which I try to do as much as I can in the course of the year — and see what’s in the air, gauge the temperature and the humidity and the wind and see what season it is and ask myself, you know, what’s happening out there now at 1,700 feet or 4,000 feet or 5,000 feet.

let me talk specifically about the work of a scientist who has herself just recently published a book. It’s Dr. Suzanne Simard, and the book is “Finding the Mother Tree.” Simard has been instrumental in a revolution in our way of thinking about what’s happening underground at the root level in a forest.

it was a moving moment for me, as an easterner, to stand up there and to say, this is what an eastern forest looks like. This is what a healthy, fully-functioning forest looks like. And I’m 56 years old, and I’d never seen it.

the other topics of that culture tend to circle back around these sorts of trends, human fascinations, ways of magnifying our throw weight and our ability and removing the last constraints to our desires and, in particular, to eliminate the single greatest enemy of meaning in the culture of the technological sublime that is, itself, such a strong instance of the culture of human separatism and commodity-mediated individualist capitalism— that is to say, the removal of death.

Why is it that we have known about the crisis of species extinction for at least half a century and longer? And I mean the lay public, not just scientists. But why has this been general knowledge for a long time without public will demanding some kind of action or change

And when you make kinship beyond yourself, your sense of meaning gravitates outwards into that reciprocal relationship, into that interdependence. And you know, it’s a little bit like scales falling off your eyes. When you do turn that corner, all of the sources of anxiety that are so present and so deeply internalized become much more identifiable. And my own sense of hope and fear gets a much larger frame of reference to operate in.

I think, for most of my life, until I did kind of wake up to forests and to trees, I shared — without really understanding this as a kind of concession or a kind of subscription — I did share this cultural consensus that meaning is a private thing that we do for ourselves and by ourselves and that our kind of general sense of the discoveries of the 19th and 20th century have left us feeling a bit unsponsored and adrift beyond the accident of human existence.

The largest single influence on any human being’s mode of thought is other human beings. So if you are surrounded by lots of terrified but wishful-thinking people who want to believe that somehow the cavalry is going to come at the last minute and that we don’t really have to look inwards and change our belief in where meaning comes from, that we will somehow be able to get over the finish line with all our stuff and that we’ll avert this disaster, as we have other kinds of disasters in the past.

I think what was happening to me at that time, as I was turning outward and starting to take the non-human world seriously, is my sense of meaning was shifting from something that was entirely about me and authored by me outward into this more collaborative, reciprocal, interdependent, exterior place that involved not just me but all of these other ways of being that I could make kinship with.

And I think I was right along with that sense that somehow we are a thing apart. We can make purpose and make meaning completely arbitrarily. It consists mostly of trying to be more in yourself, of accumulating in one form or another.

I can’t really be out for more than two or three miles before my head just fills with associations and ideas and scenes and character sketches. And I usually have to rush back home to keep it all in my head long enough to get it down on paper.

for my journey, the way to characterize this transition is from being fascinated with technologies of mastery and control and what they’re doing to us as human beings, how they’re changing what the capacities and affordances of humanity are and how we narrate ourselves, to being fascinated with technologies and sciences of interdependence and cooperation, of those sciences that increase our sense of kinship and being one of many, many neighbors.

And that’s an almost impossible persuasion to rouse yourself from if you don’t have allies. And I think the one hopeful thing about the present is the number of people trying to challenge that consensual understanding and break away into a new way of looking at human standing is growing.

And when you do subscribe to a culture like that and you are confronted with the reality of your own mortality, as I was when I was living in Stanford, that sense of stockpiling personal meaning starts to feel a little bit pointless.

And I just head out. I head out based on what the day has to offer. And to have that come first has really changed not only how I write, but what I’ve been writing. And I think it really shows in “Bewilderment.” It’s a totally different kind of book from my previous 12.

the marvelous thing about the work, which continues to get more sophisticated and continues to turn up newer and newer astonishments, is that there was odd kind of reciprocal interdependence and cooperation across the species barrier, that Douglas firs and birches were actually involved in these sharing back and forth of essential nutrients. And that’s a whole new way of looking at forest.

she began to see that the forests were actually wired up in very complex and identifiable ways and that there was an enormous system of resource sharing going on underground, that trees were sharing not only sugars and the hydrocarbons necessary for survival, but also secondary metabolites. And these were being passed back and forth, both symbiotically between the trees and the fungi, but also across the network to other trees so that there were actually trees in wired up, fungally-connected forests where large, dominant, healthy trees were subsidizing, as it were, trees that were injured or not in favorable positions or damaged in some way or just failing to thrive.

so when I was still pretty much a card-carrying member of that culture, I had this sense that to become a better person and to get ahead and to really make more of myself, I had to be as productive as possible. And that meant waking up every morning and getting 1,000 words that I was proud of. And it’s interesting that I would even settle on a quantitative target. That’s very typical for that kind of mindset that I’m talking about — 1,000 words and then you’re free, and then you can do what you want with the day.

there will be a threshold, as there have been for these other great social transformations that we’ve witnessed in the last couple of decades where somehow it goes from an outsider position to absolutely mainstream and common sense.

I am persuaded by those scholars who have showed the degree to which the concept of nature is itself an artificial construction that’s born of cultures of human separatism. I believe that everything that life does is part of the living enterprise, and that includes the construction of cities. And there is no question at all the warning that you just gave about nostalgia creating a false binary between the built world and the true natural world is itself a form of cultural isolation.

Religion is a technology to discipline, to discipline certain parts of the human impulse. A lot of the book revolves around the decoded neurofeedback machine, which is a very real literalization of a technology, of changing the way we think

one of the things I think that we have to take seriously is that we have created technologies to supercharge some parts of our natural impulse, the capitalism I think should be understood as a technology to supercharge the growth impulse, and it creates some wonders out of that and some horrors out of that.

richard powersSure. I base my machine on existing technology. Decoded neurofeedback is a kind of nascent field of exploration. You can read about it; it’s been publishing results for a decade. I first came across it in 2013. It involves using fMRI to record the brain activity of a human being who is learning a process, interacting with an object or engaged in a certain emotional state. That neural activity is recorded and stored as a data structure. A second subsequent human being is then also scanned in real time and fed kinds of feedback based on their own internal neural activity as determined by a kind of software analysis of their fMRI data structures.

And they are queued little by little to approximate, to learn how to approximate, the recorded states of the original subject. When I first read about this, I did get a little bit of a revelation. I did feel my skin pucker and think, if pushed far enough, this would be something like a telepathy conduit. It would be a first big step in answering that age-old question of what does it feel like to be something other than we are

in the book I simply take that basic concept and extend it, juke it up a little bit, blur the line between what the reader might think is possible right now and what they might wonder about, and maybe even introduce possibilities for this empathetic transference

ezra kleinOne thing I loved about the role this played in the book is that it’s highlighting its inverse. So a reader might look at this and say, wow, wouldn’t that be cool if we had a machine that could in real time change how we think and change our neural pathways and change our mental state in a particular direction? But of course, all of society is that machine,

Robin and Theo are in an airport. And you’ve got TVs everywhere playing the news which is to say playing a constant loop of outrage, and disaster, and calamity. And Robbie, who’s going through these neural feedback sessions during this period, turns to his dad and says, “Dad, you know how the training’s rewiring my brain? This is what is rewiring everybody else.”

ezra kleinI think Marshall McLuhan knew it all. I really do. Not exactly what it would look like, but his view and Postman’s view that we are creating a digital global nervous system is a way they put it, it was exactly right. A nervous system, it was such the exact right metaphor.

the great insight of McLuhan, to me, what now gets called the medium is the message is this idea that the way media acts upon us is not in the content it delivers. The point of Twitter is not the link that you click or even the tweet that you read; it is that the nature and structure of the Twitter system itself begins to act on your system, and you become more like it.If you watch a lot of TV, you become more like TV. If you watch a lot of Twitter, you become more like Twitter, Facebook more like Facebook. Your identities become more important to you — that the content is distraction from the medium, and the medium changes you

it is happening to all of us in ways that at least we are not engaging in intentionally, not at that level of how do we want to be transformed.

richard powersI believe that the digital neural system is now so comprehensive that the idea that you could escape it somewhere, certainly not in the Smokies, even more remotely, I think, becomes more and more laughable. Yeah, and to build on this idea of the medium being the message, not the way in which we become more like the forms and affordances of the medium is that we begin to expect that those affordances, the method in which those media are used, the physiological dependencies and castes of behavior and thought that are required to operate them and interact with them are actual — that they’re real somehow, and that we just take them into human nature and say no, this is what we’ve always wanted and we’ve simply been able to become more like our true selves.

Well, the warpage in our sense of time, the warpage in our sense of place, are profound. The ways in which digital feedback and the affordances of social media and all the rest have changed our expectations with regard to what we need to concentrate on, what we need to learn for ourselves, are changing profoundly.

If you look far enough back, you can find Socrates expressing great anxiety and suspicion about the ways in which writing is going to transform the human brain and human expectation. He was worried that somehow it was going to ruin our memories. Well, it did up to a point — nothing like the way the digital technologies have ruined our memories.

my tradition is Jewish, the Sabbath is a technology, is a technology to create a different relationship between the human being, and time, and growth, and productive society than you would have without the Sabbath which is framed in terms of godliness but is also a way of creating separation from the other impulses of the weak.

Governments are a technology, monogamy is a technology, a religiously driven technology, but now one that is culturally driven. And these things do good and they do bad. I’m not making an argument for any one of them in particular. But the idea that we would need to invent something wholly new to come up with a way to change the way human beings act is ridiculous

My view of the story of this era is that capitalism was one of many forces, and it has become, in many societies, functionally the only one that it was in relationship with religion, it was in relationship with more rooted communities.

it has become not just an economic system but a belief system, and it’s a little bit untrammeled. I’m not an anti-capitalist person, but I believe it needs countervailing forces. And my basic view is that it doesn’t have them anymore.

the book does introduce this kind of fable, this kind of thought experiment about the way the affordances that a new and slightly stronger technology of empathy might deflect. First of all, the story of a little boy and then the story of his father who’s scrambling to be a responsible single parent. And then, beyond that, the community of people who hear about this boy and become fascinated with him as a narrative, which again ripples outward through these digital technologies in ways that can’t be controlled or whose consequences can be foreseen.

I’ve talked about it before is something I’ve said is that I think a push against, functionally, materialism and want is an important weight in our society that we need. And when people say it is the way we’ll deal with climate change in the three to five year time frame, I become much more skeptical because to the point of things like the technology you have in the book with neural feedback, I do think one of the questions you have to ask is, socially and culturally, how do you move people’s minds so you can then move their politics?

You’re going to need something, it seems to me, outside of politics, that changes humans’ sense of themselves more fundamentally. And that takes a minute at the scale of billions.

richard powersWell, you are correct. And I don’t think it’s giving away any great reveal in the book to say that a reader who gets far enough into the story probably has this moment of recursive awareness where they, he or she comes to understand that what Robin is doing in this gradual training on the cast of mind of some other person is precisely what they’re doing in the act of reading the novel “Bewilderment” — by living this act of active empathy for these two characters, they are undergoing their own kind of neurofeedback.

The more we understand about the complexities of living systems, of organisms and the evolution of organisms, the more capable it is to feel a kind of spiritual awe. And that certainly makes it easier to have reverence for the experiment beyond me and beyond my species. I don’t think those are incommensurable or incompatible ways of knowing the world. In fact, I think to invoke one last time that Buddhist precept of interbeing, I think there is a kind of interbeing between the desire, the true selfless desire to understand the world out there through presence, care, measurement, attention, reproduction of experiment and the desire to have a spiritual affinity and shared fate with the world out there. They’re really the same project.

richard powersWell, sure. If we turn back to the new forestry again and researchers like Suzanne Simard who were showing the literal interconnectivity across species boundaries and the cooperation of resource sharing between different species in a forest, that is rigorous science, rigorous reproducible science. And it does participate in that central principle of practice, or collection of practices, which always requires the renunciation of personal wish and ego and prior belief in favor of empirical reproduction.

I’ve begun to see people beginning to build out of the humbling sciences a worldview that seems quite spiritual. And as you’re somebody who seems to me to have done that and it has changed your life, would you reflect on that a bit?

So much of the book is about the possibility of life beyond Earth. Tell me a bit about the role that’s playing. Why did you make the possibility of alien life in the way it might look and feel and evolve and act so central in a book about protecting and cherishing life here?

richard powersI’m glad that we’re slipping this in at the end because yes this framing of the book around this question of are we alone or does the universe want life it’s really important. Theo, Robin’s father, is an astrobiologist.

Imagine that everything happens just right so that every square inch of this place is colonized by new forms of experiments, new kinds of life. And the father trying to entertain his son with the story of this remarkable place in the sun just stopping him and saying, Dad, come on, that’s asking too much. Get real, that’s science fiction. That’s the vision that I had when I finished the book, an absolutely limitless sense of just how lucky we’ve had it here.

one thing I kept thinking about that didn’t make it into the final book but exists as a kind of parallel story in my own head is the father and son on some very distant planet in some very distant star, many light years from here, playing that same game. And the father saying, OK, now imagine a world that’s just the right size, and it has plate tectonics, and it has water, and it has a nearby moon to stabilize its rotation, and it has incredible security and safety from asteroids because of other large planets in the solar system.

they make this journey across the universe through all kinds of incubators, all kinds of petri dishes for life and the possibilities of life. And rather than answer the question — so where is everybody? — it keeps deferring the question, it keeps making that question more subtle and stranger

For the purposes of the book, Robin, who desperately believes in the sanctity of life beyond himself, begs his father for these nighttime, bedtime stories, and Theo gives him easy travel to other planets. Father and son going to a new planet based on the kinds of planets that Theo’s science is turning up and asking this question, what would life look like if it was able to get started here?

In the attention schema theory, attention is the physical phenomenon and awareness is the brain’s approximate, slightly incorrect model of it.

if I think that simply explaining the facts to the other side is going to change their mind, then I’m in for a rude awakening.

As a philosopher, I found to be somewhat more disturbing the idea that denialism isn’t even about critical thinking.

what the large variety of denialisms have in common is a very strong, overwhelming, ideological commitment that helps define the denialist identity in a core manner. This commitment can be religious, ethnical or political in nature, but in all cases it fundamentally shapes the personal identity of the people involved, thus generating a strong emotional attachment, as well as an equally strong emotional backlash against critics.

To begin with, of course, they think of themselves as “skeptics,” thus attempting to appropriate a word with a venerable philosophical pedigree and which is supposed to indicate a cautiously rational approach to a given problem. As David Hume put it, a wise person (i.e., a proper skeptic) will proportion her beliefs to the evidence. But there is nothing of the Humean attitude in people who are “skeptical” of evolution, climate change, vaccines, and so forth.

Denialists have even begun to appropriate the technical language of informal logic: when told that a majority of climate scientists agree that the planet is warming up, they are all too happy to yell “argument from authority!” When they are told that they should distrust statements coming from the oil industry and from “think tanks” in their pockets they retort “genetic fallacy!” And so on. Never mind that informal fallacies are such only against certain background information, and that it is eminently sensible and rational to trust certain authorities (at the least provisionally), as well as to be suspicious of large organizations with deep pockets and an obvious degree of self-interest.

What commonalities can we uncover across instances of denialism that may allow us to tackle the problem beyond facts and elementary logic?

the evidence from the literature is overwhelming that denialists have learned to use the vocabulary of critical thinking against their opponents.

Another important issue to understand is that denialists exploit the inherently tentative nature of scientific or historical findings to seek refuge for their doctrines.

. Scientists have been wrong before, and doubtlessly will be again in the future, many times. But the issue is rather one of where it is most rational to place your bets as a Bayesian updater: with the scientific community or with Faux News?

Science should be portrayed as a human story of failure and discovery, not as a body of barely comprehensible facts arrived at by epistemic priests.

Is there anything that can be done in this respect? I personally like the idea of teaching “science appreciation” classes in high school and college [2], as opposed to more traditional (usually rather boring, both as a student and as a teacher) science instruction

Denialists also exploit the media’s self imposed “balanced” approach to presenting facts, which leads to the false impression that there really are two approximately equal sides to every debate.

This is a rather recent phenomenon, and it is likely the result of a number of factors affecting the media industry. One, of course, is the onset of the 24-hr media cycle, with its pernicious reliance on punditry. Another is the increasing blurring of the once rather sharp line between reporting and editorializing.

The problem with the media is of course made far worse by the ongoing crisis in contemporary journalism, with newspapers, magazines and even television channels constantly facing an uncertain future of revenues,

he push back against denialism, in all its varied incarnations, is likely to be more successful if we shift the focus from persuading individual members of the public to making political and media elites accountable.

This is a major result coming out of Brendan’s research. He showed data set after data set demonstrating two fundamental things: first, large sections of the general public do not respond to the presentation of even highly compelling facts, indeed — as mentioned above — are actually more likely to entrench further into their positions.

Second, whenever one can put pressure on either politicians or the media, they do change their tune, becoming more reasonable and presenting things in a truly (as opposed to artificially) balanced way.

Third, and most crucially, there is plenty of evidence from political science studies that the public does quickly rally behind a unified political leadership. This, as much as it is hard to fathom now, has happened a number of times even in somewhat recent times

when leaders really do lead, the people follow. It’s just that of late the extreme partisan bickering in Washington has made the two major parties entirely incapable of working together on the common ground that they have demonstrably had in the past.

Another thing we can do about denialism: we should learn from the detailed study of successful cases and see what worked and how it can be applied to other instances

Yet another thing we can do: seek allies. In the case of evolution denial — for which I have the most first-hand experience — it has been increasingly obvious to me that it is utterly counterproductive for a strident atheist like Dawkins (or even a relatively good humored one like yours truly) to engage creationists directly. It is far more effective when we have clergy (Barry Lynn of Americans United for the Separation of Church and State [6] comes to mind) and religious scientists

Make no mistake about it: denialism in its various forms is a pernicious social phenomenon, with potentially catastrophic consequences for our society. It requires a rallying call for all serious public intellectuals, academic or not, who have the expertise and the stamina to join the fray to make this an even marginally better world for us all. It’s most definitely worth the fight.

(An early conclusion: while we were late to understand how angry white voters were, a perhaps even more serious lapse was in failing to recognize how many disaffected Democrats there were who would stay home rather than support their party’s flawed candidate.)

Stories that would have killed any other politician—truly worrisome revelations about everything from the federal taxes Trump dodged to the charitable donations he lied about, the women he insulted and allegedly assaulted, and the mob ties that have long dogged him—did not stop Trump from thriving in this election year

the Oxford Dictionaries announced that “post-truth” had been chosen as the 2016 word of the year, defining it as a condition “in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief.”

Meantime, Trump personally blacklisted news organizations like Politico and The Washington Post when they published articles he didn’t like during the campaign, has openly mused about rolling back press freedoms enshrined by the U.S. Supreme Court, and has now named Stephen Bannon, until recently the executive chairman of Breitbart—a right-wing fringe website with a penchant for conspiracy theories and anti-Semitic tropes—to serve as one of his top White House advisers.

none of this has any modern precedent. And what makes it unique has nothing to do with the outcome of the election. This time, the victor was a right-wing demagogue; next time, it may be a left-wing populist who learns the lessons of Trump’s win.

This is no mere academic argument. The election of 2016 showed us that Americans are increasingly choosing to live in a cloud of like-minded spin, surrounded by the partisan political hackery and fake news that poisons their Facebook feeds.

To help us understand it all, there were choices, but not that many: three TV networks that mattered, ABC, CBS, and NBC; two papers for serious journalism, The New York Times and The Washington Post; and two giant-circulation weekly newsmagazines, Time and Newsweek. That, plus whatever was your local daily newspaper, pretty much constituted the news.

Fake news is thriving In the final three months of the presidential campaign, the 20 top-performing fake election news stories generated more engagement on Facebook than the top stories from major news outlets such as The New York Times.

Eventually, I came to think of the major media outlets of that era as something very similar to the big suburban shopping malls we flocked to in the age of shoulder pads and supply-side economics: We could choose among Kmart and Macy’s and Saks Fifth Avenue as our budgets and tastes allowed, but in the end the media were all essentially department stores, selling us sports and stock tables and foreign news alongside our politics, whether we wanted them or not. It may not have been a monopoly, but it was something pretty close.

This was still journalism in the scarcity era, and it affected everything from what stories we wrote to how fast we could produce them. Presidents could launch global thermonuclear war with the Russians in a matter of minutes, but news from the American hinterlands often took weeks to reach their sleepy capital. Even information within that capital was virtually unobtainable without a major investment of time and effort. Want to know how much a campaign was raising and spending from the new special-interest PACs that had proliferated? Prepare to spend a day holed up at the Federal Election Commission’s headquarters down on E Street across from the hulking concrete FBI building, and be sure to bring a bunch of quarters for the copy machine.

I am writing this in the immediate, shocking aftermath of a 2016 presidential election in which the Pew Research Center found that a higher percentage of Americans got their information about the campaign from late-night TV comedy shows than from a national newspaper. Don Graham sold the Post three years ago and though its online audience has been skyrocketing with new investments from Amazon.com founder Jeff Bezos, it will never be what it was in the ‘80s. That same Pew survey reported that a mere 2 percent of Americans today turned to such newspapers as the “most helpful” guides to the presidential campaign.

In 2013, Mark Leibovich wrote a bestselling book called This Town about the party-hopping, lobbyist-enabling nexus between Washington journalists and the political world they cover. A key character was Politico’s Mike Allen, whose morning email newsletter “Playbook” had become a Washington ritual, offering all the news and tidbits a power player might want to read before breakfast—and Politico’s most successful ad franchise to boot. In many ways, even that world of just a few years ago now seems quaint: the notion that anyone could be a single, once-a-day town crier in This Town (or any other) has been utterly exploded by the move to Twitter, Facebook, and all the rest. We are living, as Mark put it to me recently, “in a 24-hour scrolling version of what ‘Playbook’ was.”

Whether it was Walter Cronkite or The New York Times, they preached journalistic “objectivity” and spoke with authority when they pronounced on the day’s developments—but not always with the depth and expertise that real competition or deep specialization might have provided. They were great—but they were generalists.

I remained convinced that reporting would hold its value, especially as our other advantages—like access to information and the expensive means to distribute it—dwindled. It was all well and good to root for your political team, but when it mattered to your business (or the country, for that matter), I reasoned, you wouldn’t want cheerleading but real reporting about real facts. Besides, the new tools might be coming at us with dizzying speed—remember when that radical new video app Meerkat was going to change absolutely everything about how we cover elections?—but we would still need reporters to find a way inside Washington’s closed doors and back rooms, to figure out what was happening when the cameras weren’t rolling.

And if the world was suffering from information overload—well, so much the better for us editors; we would be all the more needed to figure out what to listen to amid the noise.

Trump turned out to be more correct than we editors were: the more relevant point of the Access Hollywood tape was not about the censure Trump would now face but the political reality that he, like Bill Clinton, could survive this—or perhaps any scandal. Yes, we were wrong about the Access Hollywood tape, and so much else.

These days, Politico has a newsroom of 200-odd journalists, a glossy award-winning magazine, dozens of daily email newsletters, and 16 subscription policy verticals. It’s a major player in coverage not only of Capitol Hill but many other key parts of the capital, and some months during this election year we had well over 30 million unique visitors to our website, a far cry from the controlled congressional circulation of 35,000 that I remember Roll Call touting in our long-ago sales materials.

, we journalists were still able to cover the public theater of politics while spending more of our time, resources, and mental energy on really original reporting, on digging up stories you couldn’t read anywhere else. Between Trump’s long and checkered business past, his habit of serial lying, his voluminous and contradictory tweets, and his revision of even his own biography, there was lots to work with. No one can say that Trump was elected without the press telling us all about his checkered past.

politics was NEVER more choose-your-own-adventure than in 2016, when entire news ecosystems for partisans existed wholly outside the reach of those who at least aim for truth

Pew found that nearly 50 percent of self-described conservatives now rely on a single news source, Fox, for political information they trust.

As for the liberals, they trust only that they should never watch Fox, and have MSNBC and Media Matters and the remnants of the big boys to confirm their biases.

And then there are the conspiracy-peddling Breitbarts and the overtly fake-news outlets of this overwhelming new world; untethered from even the pretense of fact-based reporting, their version of the campaign got more traffic on Facebook in the race’s final weeks than all the traditional news outlets combined.

When we assigned a team of reporters at Politico during the primary season to listen to every single word of Trump’s speeches, we found that he offered a lie, half-truth, or outright exaggeration approximately once every five minutes—for an entire week. And it didn’t hinder him in the least from winning the Republican presidential nomination.

when we repeated the exercise this fall, in the midst of the general election campaign, Trump had progressed to fibs of various magnitudes just about once every three minutes!

By the time Trump in September issued his half-hearted disavowal of the Obama “birther” whopper he had done so much to create and perpetuate, one national survey found that only 1 in 4 Republicans was sure that Obama was born in the U.S., and various polls found that somewhere between a quarter and a half of Republicans believed he’s Muslim. So not only did Trump think he was entitled to his own facts, so did his supporters. It didn’t stop them at all from voting for him.

in part, it’s not just because they disagree with the facts as reporters have presented them but because there’s so damn many reporters, and from such a wide array of outlets, that it’s often impossible to evaluate their standards and practices, biases and preconceptions. Even we journalists are increasingly overwhelmed.

So much terrific reporting and writing and digging over the years and … Trump? What happened to consequences? Reporting that matters? Sunlight, they used to tell us, was the best disinfectant for what ails our politics.

2016 suggests a different outcome: We’ve achieved a lot more transparency in today’s Washington—without the accountability that was supposed to come with it.

Just as the loss of a species decreases the richness of an ecosystem, the addition of new animals could achieve the opposite effect.

National Geographic Society hosted a larger conference to debate the scientific and ethical questions raised by the prospect of “de-extinction.

“De-extinction went from concept to potential reality right before our eyes,

“This may be the biggest attraction and possibly the biggest benefit of de-extinction. It would surely be very cool to see a living woolly mammoth.”

less scientific, if more persuasive, argument was advanced by the ethicist Hank Greely and the law professor Jacob Sherkow, both of Stanford. De-extinction should be pursued, they argued in a paper published in Science, because it would be really

They will replace chunks of band-tailed-pigeon DNA with synthesized chunks of passenger-pigeon DNA, until the cell’s genome matches their working passenger-pigeon genome.

Scientists predict that changes made by human beings to the composition of the atmosphere could kill off a quarter of the planet’s mammal species, a fifth of its reptiles and a sixth of its birds by 2050

This cloning method, called somatic cell nuclear transfer, can be used only on species for which we have cellular material.

There is a shortcut. The genome of a closely related species will have a high proportion of identical DNA, so it can serve as a blueprint, or “scaffold.”

By comparing the fragments of passenger-pigeon DNA with the genomes of similar species, researchers can assemble an approximation of an actual passenger-pigeon genome.

“We’ve framed it in terms of conservation,”

the genome will have to be inscribed into a living cell.

As with any translation, there may be errors of grammar, clumsy phrases and perhaps a few missing passages, but the book will be legible. It should, at least, tell a good story.

MAGE (Multiplex Automated Genome Engineering). MAGE is nicknamed the “evolution machine” because it can introduce the equivalent of millions of years of genetic mutations within minutes

Developmental and behavioral biologists would take over, just in time to answer some difficult questions. Chicks imitate their parents’ behavior. How do you raise a passenger pigeon without parents of its own species? And how do you train band-tailed pigeons to nurture the strange spawn that emerge from their eggs; chicks that, to them, might seem monstrous: an avian Rosemary’s Baby?

For endangered species with tiny populations, scientists would introduce genetic diversity to offset inbreeding.

They will try to alter the birds’ diets, migration habits and environment. The behavior of each subsequent generation will more closely resemble that of their genetic cousins.

“There’s always this fear that somehow, if we do it, we’re going to accidentally make something horrible, because only nature can really do it right. But nature is totally random. Nature makes monsters. Nature makes threats. Many of the things that are most threatening to us are a product of nature. Revive & Restore is not going to tip the balance in any way.”

For species threatened by contagion, an effort would be made to fortify their DNA with genes that make them disease-resistant

This optimistic, soft-focus fantasy of de-extinction, while thrilling to Ben Novak, is disturbing to many conservation biologists, who consider it a threat to their entire discipline and even to the environmental movement.

The first question posed by conservationists addresses the logic of bringing back an animal whose native habitat has disappeared. Why go through all the trouble just to have the animal go extinct all over again?

There is also anxiety about disease

“If you recreate a species genetically and release it, and that genotype is based on a bird from a 100-year-old environment, you probably will increase risk.”

The scientific term for this type of genetic intervention is “facilitated adaptation.”

De-extinction also poses a rhetorical threat to conservation biologists. The specter of extinction has been the conservation movement’s most powerful argument. What if extinction begins to be seen as a temporary inconvenience?

De-extinction suggests that we can technofix our way out of environmental issues generally, and that’s very, very bad.

How will we decide which species to resurrect?

Philip Seddon recently published a 10-point checklist to determine the suitability of any species for revival, taking into account causes of its extinction, possible threats it might face upon resurrection and man’s ability to destroy the species “in the event of unacceptable ecological or socioeconomic impacts.”

But the most visceral argument against de-extinction is animal cruelty.

“Is it fair to do this to these animals?” Shapiro asked. “Is ‘because we feel guilty’ a good-enough reason?” Stewart Brand made a utilitarian counterargument: “We’re going to go through some suffering, because you try a lot of times, and you get ones that don’t take. On the other hand, if you can bring bucardos back, then how many would get to live that would not have gotten to live?”

In “How to Permit Your Mammoth,” published in The Stanford Environmental Law Journal, Norman F. Carlin asks whether revived species should be protected by the Endangered Species Act or regulated as a genetically modified organism.

He concludes that revived species, “as products of human ingenuity,” should be eligible for patenting.

The term “de-extinction” is misleading. Passenger pigeons will not rise from the grave

Our understanding of the passenger pigeon’s behavior derives entirely from historical accounts.

There is no authoritative definition of “species.” The most widely accepted definition describes a group of organisms that can procreate with one another and produce fertile offspring, but there are many exceptions.

Theseus’ ship, therefore, “became a standing example among the philosophers . . . one side holding that the ship remained the same, and the other contending that it was not the same.”

What is coming will go well beyond the resurrection of extinct species. For millenniums, we have customized our environment, our vegetables and our animals, through breeding, fertilization and pollination. Synthetic biology offers far more sophisticated tools. The creation of novel organisms, like new animals, plants and bacteria, will transform human medicine, agriculture, energy production and much else.

invoked an old metaphor to explain why he isn’t convinced by the analysis: He compared it to establishing a theory of how weather works by pointing a video camera out the window for 7 hours.

Indeed, among neuroscientists, the new “comprehensive atlas” of the cerebral cortex is almost as controversial as a historical atlas of the Middle East. That’s because every word has a constellation of meanings and associations — and it’s hard for scientists to agree about how best to study them in the lab.

For this study, neuroscientist Jack Gallant and his team at the University of California, Berkeley played more than two hours’ worth of stories from the Moth Radio Hour for seven grad students and postdocs while measuring their cerebral blood flow using functional magnetic resonance imaging. Then, they linked the activity in some 50,000 pea-sized regions of the cortex to the “meaning” of the words being heard at that moment.

How, you might ask, did they establish the meaning of words? The neuroscientists pulled all the nouns and verbs from the podcasts. With a computer program, they then looked across millions of pages of text to see how often the words from the podcasts are used near 985 common words taken from Wikipedia’s List of 1,000 Basic Words. “Wolf,” for instance, would presumably be used more often in proximity to “dog” than to, say, “eggplant.” Using that data, the program assigned numbers that approximated the meaning of each individual word from the podcasts — and, with some fancy number crunching, they figured out what areas of the brain were activated when their research subjects heard words with certain meanings.

Everyone agrees that the research is innovative in its method. After all, linking up the meanings of thousands of words to the second-by-second brain activity in thousands of tiny brain regions is no mean feat. “That’s way more data than any human being can possibly think about,” said Gallant.

What they can’t agree on is what it means. “In this study, our goal was not to ask a specific question. Our goal was to map everything so that we can ask questions after that,” said Gallant. “One of the most frequent questions we get is, ‘What does it mean?’ If I gave you a globe, you wouldn’t ask what it means, you’d start using it for stuff. You can look for the smallest ocean or how long it will take to get to San Francisco.”

This “data-driven approach” still involves assumptions about how to break up language into different categories of meaning

“Of course it’s a very simplified version of how meaning is captured in our minds, but it seems to be a pretty good proxy,” she said.

hordes of unanswered questions: “We can map where your brain represents the meaning of a narrative text that is associated with family, but we don’t know why the brain is responding to family at that location. Is it the word ‘father’ itself? Is it your memories of your own father? Is it your own thinking about being a parent yourself?” He hopes that it’s just those types of questions that researchers will ask, using his brain map as a guide.

it’s impossible to know for sure, but, according to one publisher’s estimate, book sales in the U.S. now make up no more than seven per cent of the company’s roughly seventy-five billion dollars in annual revenue.

A monopoly is dangerous because it concentrates so much economic power, but in the book business the prospect of a single owner of both the means of production and the modes of distribution is especially worrisome: it would give Amazon more control over the exchange of ideas than any company in U.S. history.

“The key to understanding Amazon is the hiring process,” one former employee said. “You’re not hired to do a particular job—you’re hired to be an Amazonian. Lots of managers had to take the Myers-Briggs personality tests. Eighty per cent of them came in two or three similar categories, and Bezos is the same: introverted, detail-oriented, engineer-type personality. Not musicians, designers, salesmen. The vast majority fall within the same personality type—people who graduate at the top of their class at M.I.T. and have no idea what to say to a woman in a bar.”

According to Marcus, Amazon executives considered publishing people “antediluvian losers with rotary phones and inventory systems designed in 1968 and warehouses full of crap.” Publishers kept no data on customers, making their bets on books a matter of instinct rather than metrics. They were full of inefficiences, starting with overpriced Manhattan offices.

For a smaller house, Amazon’s total discount can go as high as sixty per cent, which cuts deeply into already slim profit margins. Because Amazon manages its inventory so well, it often buys books from small publishers with the understanding that it can’t return them, for an even deeper discount

According to one insider, around 2008—when the company was selling far more than books, and was making twenty billion dollars a year in revenue, more than the combined sales of all other American bookstores—Amazon began thinking of content as central to its business. Authors started to be considered among the company’s most important customers. By then, Amazon had lost much of the market in selling music and videos to Apple and Netflix, and its relations with publishers were deteriorating

In its drive for profitability, Amazon did not raise retail prices; it simply squeezed its suppliers harder, much as Walmart had done with manufacturers. Amazon demanded ever-larger co-op fees and better shipping terms; publishers knew that they would stop being favored by the site’s recommendation algorithms if they didn’t comply. Eventually, they all did.

Brad Stone describes one campaign to pressure the most vulnerable publishers for better terms: internally, it was known as the Gazelle Project, after Bezos suggested “that Amazon should approach these small publishers the way a cheetah would pursue a sickly gazelle.”

ithout dropping co-op fees entirely, Amazon simplified its system: publishers were asked to hand over a percentage of their previous year’s sales on the site, as “marketing development funds.”

The figure keeps rising, though less for the giant pachyderms than for the sickly gazelles. According to the marketing executive, the larger houses, which used to pay two or three per cent of their net sales through Amazon, now relinquish five to seven per cent of gross sales, pushing Amazon’s percentage discount on books into the mid-fifties. Random House currently gives Amazon an effective discount of around fifty-three per cent.

In December, 1999, at the height of the dot-com mania, Time named Bezos its Person of the Year. “Amazon isn’t about technology or even commerce,” the breathless cover article announced. “Amazon is, like every other site on the Web, a content play.” Yet this was the moment, Marcus said, when “content” people were “on the way out.”

By 2010, Amazon controlled ninety per cent of the market in digital books—a dominance that almost no company, in any industry, could claim. Its prohibitively low prices warded off competition

In 2004, he set up a lab in Silicon Valley that would build Amazon’s first piece of consumer hardware: a device for reading digital books. According to Stone’s book, Bezos told the executive running the project, “Proceed as if your goal is to put everyone selling physical books out of a job.”

Lately, digital titles have levelled off at about thirty per cent of book sales.

The literary agent Andrew Wylie (whose firm represents me) says, “What Bezos wants is to drag the retail price down as low as he can get it—a dollar-ninety-nine, even ninety-nine cents. That’s the Apple play—‘What we want is traffic through our device, and we’ll do anything to get there.’ ” If customers grew used to paying just a few dollars for an e-book, how long before publishers would have to slash the cover price of all their titles?

As Apple and the publishers see it, the ruling ignored the context of the case: when the key events occurred, Amazon effectively had a monopoly in digital books and was selling them so cheaply that it resembled predatory pricing—a barrier to entry for potential competitors. Since then, Amazon’s share of the e-book market has dropped, levelling off at about sixty-five per cent, with the rest going largely to Apple and to Barnes & Noble, which sells the Nook e-reader. In other words, before the feds stepped in, the agency model introduced competition to the market

But the court’s decision reflected a trend in legal thinking among liberals and conservatives alike, going back to the seventies, that looks at antitrust cases from the perspective of consumers, not producers: what matters is lowering prices, even if that goal comes at the expense of competition. Barry Lynn, a market-policy expert at the New America Foundation, said, “It’s one of the main factors that’s led to massive consolidation.”

Publishers sometimes pass on this cost to authors, by redefining royalties as a percentage of the publisher’s receipts, not of the book’s list price. Recently, publishers say, Amazon began demanding an additional payment, amounting to approximately one per cent of net sales

brick-and-mortar retailers employ forty-seven people for every ten million dollars in revenue earned; Amazon employs fourteen.

Since the arrival of the Kindle, the tension between Amazon and the publishers has become an open battle. The conflict reflects not only business antagonism amid technological change but a division between the two coasts, with different cultural styles and a philosophical disagreement about what techies call “disruption.”

Bezos told Charlie Rose, “Amazon is not happening to bookselling. The future is happening to bookselling.”

n Grandinetti’s view, the Kindle “has helped the book business make a more orderly transition to a mixed print and digital world than perhaps any other medium.” Compared with people who work in music, movies, and newspapers, he said, authors are well positioned to thrive. The old print world of scarcity—with a limited number of publishers and editors selecting which manuscripts to publish, and a limited number of bookstores selecting which titles to carry—is yielding to a world of digital abundance. Grandinetti told me that, in these new circumstances, a publisher’s job “is to build a megaphone.”

it offers an extremely popular self-publishing platform. Authors become Amazon partners, earning up to seventy per cent in royalties, as opposed to the fifteen per cent that authors typically make on hardcovers. Bezos touts the biggest successes, such as Theresa Ragan, whose self-published thrillers and romances have been downloaded hundreds of thousands of times. But one survey found that half of all self-published authors make less than five hundred dollars a year.

The business term for all this clear-cutting is “disintermediation”: the elimination of the “gatekeepers,” as Bezos calls the professionals who get in the customer’s way. There’s a populist inflection to Amazon’s propaganda, an argument against élitist institutions and for “the democratization of the means of production”—a common line of thought in the West Coast tech world

“Book publishing is a very human business, and Amazon is driven by algorithms and scale,” Sargent told me. When a house gets behind a new book, “well over two hundred people are pushing your book all over the place, handing it to people, talking about it. A mass of humans, all in one place, generating tremendous energy—that’s the magic potion of publishing. . . . That’s pretty hard to replicate in Amazon’s publishing world, where they have hundreds of thousands of titles.”

By producing its own original work, Amazon can sell more devices and sign up more Prime members—a major source of revenue. While the company was building the

Like the publishing venture, Amazon Studios set out to make the old “gatekeepers”—in this case, Hollywood agents and executives—obsolete. “We let the data drive what to put in front of customers,” Carr told the Wall Street Journal. “We don’t have tastemakers deciding what our customers should read, listen to, and watch.”

book publishers have been consolidating for several decades, under the ownership of media conglomerates like News Corporation, which squeeze them for profits, or holding companies such as Rivergroup, which strip them to service debt. The effect of all this corporatization, as with the replacement of independent booksellers by superstores, has been to privilege the blockbuster.

The combination of ceaseless innovation and low-wage drudgery makes Amazon the epitome of a successful New Economy company. It’s hiring as fast as it can—nearly thirty thousand employees last year.

the long-term outlook is discouraging. This is partly because Americans don’t read as many books as they used to—they are too busy doing other things with their devices—but also because of the relentless downward pressure on prices that Amazon enforces.

he digital market is awash with millions of barely edited titles, most of it dreck, while r

Amazon believes that its approach encourages ever more people to tell their stories to ever more people, and turns writers into entrepreneurs; the price per unit might be cheap, but the higher number of units sold, and the accompanying royalties, will make authors wealthier

In Friedman’s view, selling digital books at low prices will democratize reading: “What do you want as an author—to sell books to as few people as possible for as much as possible, or for as little as possible to as many readers as possible?”

The real talent, the people who are writers because they happen to be really good at writing—they aren’t going to be able to afford to do it.”

Seven-figure bidding wars still break out over potential blockbusters, even though these battles often turn out to be follies. The quest for publishing profits in an economy of scarcity drives the money toward a few big books. So does the gradual disappearance of book reviewers and knowledgeable booksellers, whose enthusiasm might have rescued a book from drowning in obscurity. When consumers are overwhelmed with choices, some experts argue, they all tend to buy the same well-known thing.

These trends point toward what the literary agent called “the rich getting richer, the poor getting poorer.” A few brand names at the top, a mass of unwashed titles down below, the middle hollowed out: the book business in the age of Amazon mirrors the widening inequality of the broader economy.

“If they did, in my opinion they would save the industry. They’d lose thirty per cent of their sales, but they would have an additional thirty per cent for every copy they sold, because they’d be selling directly to consumers. The industry thinks of itself as Procter & Gamble*. What gave publishers the idea that this was some big goddam business? It’s not—it’s a tiny little business, selling to a bunch of odd people who read.”

Bezos is right: gatekeepers are inherently élitist, and some of them have been weakened, in no small part, because of their complacency and short-term thinking. But gatekeepers are also barriers against the complete commercialization of ideas, allowing new talent the time to develop and learn to tell difficult truths. When the last gatekeeper but one is gone, will Amazon care whether a book is any good? ♦

Third, as an ethical matter, pseudoscience is not — contrary to popular belief — merely a harmless pastime of the gullible; it often threatens people’s welfare,

It is precisely in the area of medical treatments that the science-pseudoscience divide is most critical, and where the role of philosophers in clarifying things may be most relevant.

some traditional Chinese remedies (like drinking fresh turtle blood to alleviate cold symptoms) may in fact work

There is no question that some folk remedies do work. The active ingredient of aspirin, for example, is derived from willow bark, which had been known to have beneficial effects since the time of Hippocrates. There is also no mystery about how this happens: people have more or less randomly tried solutions to their health problems for millennia, sometimes stumbling upon something useful

What makes the use of aspirin “scientific,” however, is that we have validated its effectiveness through properly controlled trials, isolated the active ingredient, and understood the biochemical pathways through which it has its effects

In terms of empirical results, there are strong indications that acupuncture is effective for reducing chronic pain and nausea, but sham therapy, where needles are applied at random places, or are not even pierced through the skin, turn out to be equally effective (see for instance this recent study on the effect of acupuncture on post-chemotherapy chronic fatigue), thus seriously undermining talk of meridians and Qi lines

Asma at one point compares the current inaccessibility of Qi energy to the previous (until this year) inaccessibility of the famous Higgs boson,

But the analogy does not hold. The existence of the Higgs had been predicted on the basis of a very successful physical theory known as the Standard Model. This theory is not only exceedingly mathematically sophisticated, but it has been verified experimentally over and over again. The notion of Qi, again, is not really a theory in any meaningful sense of the word. It is just an evocative word to label a mysterious force

Philosophers of science have long recognized that there is nothing wrong with positing unobservable entities per se, it’s a question of what work such entities actually do within a given theoretical-empirical framework. Qi and meridians don’t seem to do any, and that doesn’t seem to bother supporters and practitioners of Chinese medicine. But it ought to.

what’s the harm in believing in Qi and related notions, if in fact the proposed remedies seem to help?

we can incorporate whatever serendipitous discoveries from folk medicine into modern scientific practice, as in the case of the willow bark turned aspirin. In this sense, there is no such thing as “alternative” medicine, there’s only stuff that works and stuff that doesn’t.

Second, if we are positing Qi and similar concepts, we are attempting to provide explanations for why some things work and others don’t. If these explanations are wrong, or unfounded as in the case of vacuous concepts like Qi, then we ought to correct or abandon them.

pseudo-medical treatments often do not work, or are even positively harmful. If you take folk herbal “remedies,” for instance, while your body is fighting a serious infection, you may suffer severe, even fatal, consequences.

Indulging in a bit of pseudoscience in some instances may be relatively innocuous, but the problem is that doing so lowers your defenses against more dangerous delusions that are based on similar confusions and fallacies. For instance, you may expose yourself and your loved ones to harm because your pseudoscientific proclivities lead you to accept notions that have been scientifically disproved, like the increasingly (and worryingly) popular idea that vaccines cause autism.

Philosophers nowadays recognize that there is no sharp line dividing sense from nonsense, and moreover that doctrines starting out in one camp may over time evolve into the other. For example, alchemy was a (somewhat) legitimate science in the times of Newton and Boyle, but it is now firmly pseudoscientific (movements in the opposite direction, from full-blown pseudoscience to genuine science, are notably rare).

The verdict by philosopher Larry Laudan, echoed by Asma, that the demarcation problem is dead and buried, is not shared by most contemporary philosophers who have studied the subject.

the criterion of falsifiability, for example, is still a useful benchmark for distinguishing science and pseudoscience, as a first approximation. Asma’s own counterexample inadvertently shows this: the “cleverness” of astrologers in cherry-picking what counts as a confirmation of their theory, is hardly a problem for the criterion of falsifiability, but rather a nice illustration of Popper’s basic insight: the bad habit of creative fudging and finagling with empirical data ultimately makes a theory impervious to refutation. And all pseudoscientists do it, from parapsychologists to creationists and 9/11 Truthers.

The borderlines between genuine science and pseudoscience may be fuzzy, but this should be even more of a call for careful distinctions, based on systematic facts and sound reasoning. To try a modicum of turtle blood here and a little aspirin there is not the hallmark of wisdom and even-mindedness. It is a dangerous gateway to superstition and irrationality.

The essence of the Web is the linking of individual “pages” on websites, one to another. Every link represents a recommendation—a vote of interest, if not quality. So the algorithm assigns every page a rank, depending on how many other pages link to it. Furthermore, all links are not valued equally. A recommendation is worth more when it comes from a page that has a high rank itself. The math isn’t trivial—PageRank is a probability distribution, and the calculation is recursive, each page’s rank depending on the ranks of pages that depend…and so on. Page and Brin patented PageRank and published the details even before starting the company they called Google.

As they saw it from the first, their mission encompassed not just the Internet but all the world’s books and images, too.