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What do we mean by motivation? It's been defined as a predisposition to behave in a purposeful manner to achieve specific, unmet needs and the will to achieve, and the inner force that drives individuals to accomplish personal and organizational goals. And why do we need motivated employees? The answer is survival.

It turns out that people are motivated by interesting work, challenge, and increasing responsibility—intrinsic factors. People have a deep-seated need for growth and achievement.

Even understanding what constitutes human motivation  has been a centuries old puzzle, addressed as far back as Aristotle.

. Pink concludes that extrinsic motivators work only in a surprisingly narrow band of circumstances; rewards often destroy creativity and employee performance; and the secret to high performance isn’t reward and punishment but that unseen intrinsic drive—the drive to do something  because it is meaningful.

true motivation boils down to three elements: Autonomy, the desire to direct our own lives; mastery, the desire to continually improve at something that matters to us, and purpose, the desire to do things in service of something larger than ourselves.

The carrot-and-stick approach worked well for typical tasks of the early 20th century —routine, unchallenging and highly controlled. For these tasks, where the process is straightforward and lateral thinking is not required, rewards can provide a small motivational boost without any harmful side effects

obs in the 21st century have changed dramatically. They have become more complex, more interesting and more self-directed, and this is where the carrot-and-stick approach has become unstuck.

I learned something more useful: the existence of non-fiction literature that can teach you anything.

something felt odd. Whenever a conversation revolved around a serious non-fiction book I read, such as ‘Sapiens’ or ‘Thinking Fast and Slow,’ I could never remember much. Turns out, I hadn’t absorbed as much information as I’d believed. Since I couldn’t remember much, I felt as though reading wasn’t an investment in knowledge but mere entertainment.

When I opened up about my struggles, many others confessed they also can’t remember most of what they read, as if forgetting is a character flaw. But it isn’t.

It’s the way we work with books that’s flawed.

there’s a better way to read. Most people rely on techniques like highlighting, rereading, or, worst of all, completely passive reading, which are highly ineffective.

Since I started applying evidence-based learning strategies to reading non-fiction books, many things have changed. I can explain complex ideas during dinner conversations. I can recall interesting concepts and link them in my writing or podcasts. As a result, people come to me for all kinds of advice.

What’s the Architecture of Human Learning and Memory?

Human brains don’t work like recording devices. We don’t absorb information and knowledge by reading sentences.

we store new information in terms of its meaning to our existing memory

we give new information meaning by actively participating in the learning process — we interpret, connect, interrelate, or elaborate

To remember new information, we not only need to know it but also to know how it relates to what we already know.

Learning is dependent on memory processes because previously-stored knowledge functions as a framework in which newly learned information can be linked.”

Human memory works in three stages: acquisition, retention, and retrieval. In the acquisition phase, we link new information to existing knowledge; in the retention phase, we store it, and in the retrieval phase, we get information out of our memory.

Retrieval, the third stage, is cue dependent. This means the more mental links you’re generating during stage one, the acquisition phase, the easier you can access and use your knowledge.

we need to understand that the three phases interrelate

creating durable and flexible access to to-be-learned information is partly a matter of achieving a meaningful encoding of that information and partly a matter of exercising the retrieval process.”

Next, we’ll look at the learning strategies that work best for our brains (elaboration, retrieval, spaced repetition, interleaving, self-testing) and see how we can apply those insights to reading non-fiction books.

The strategies that follow are rooted in research from professors of Psychological & Brain Science around Henry Roediger and Mark McDaniel. Both scientists spent ten years bridging the gap between cognitive psychology and education fields. Harvard University Press published their findings in the book ‘Make It Stick.

#1 Elaboration

“Elaboration is the process of giving new material meaning by expressing it in your own words and connecting it with what you already know.”

Why elaboration works: Elaborative rehearsal encodes information into your long-term memory more effectively. The more details and the stronger you connect new knowledge to what you already know, the better because you’ll be generating more cues. And the more cues they have, the easier you can retrieve your knowledge.

How I apply elaboration: Whenever I read an interesting section, I pause and ask myself about the real-life connection and potential application. The process is invisible, and my inner monologues sound like: “This idea reminds me of…, This insight conflicts with…, I don’t really understand how…, ” etc.

For example, when I learned about A/B testing in ‘The Lean Startup,’ I thought about applying this method to my startup. I added a note on the site stating we should try it in user testing next Wednesday. Thereby the book had an immediate application benefit to my life, and I will always remember how the methodology works.

How you can apply elaboration: Elaborate while you read by asking yourself meta-learning questions like “How does this relate to my life? In which situation will I make use of this knowledge? How does it relate to other insights I have on the topic?”

While pausing and asking yourself these questions, you’re generating important memory cues. If you take some notes, don’t transcribe the author’s words but try to summarize, synthesize, and analyze.

#2 Retrieval

With retrieval, you try to recall something you’ve learned in the past from your memory. While retrieval practice can take many forms — take a test, write an essay, do a multiple-choice test, practice with flashcards

the authors of ‘Make It Stick’ state: “While any kind of retrieval practice generally benefits learning, the implication seems to be that where more cognitive effort is required for retrieval, greater retention results.”

Whatever you settle for, be careful not to copy/paste the words from the author. If you don’t do the brain work yourself, you’ll skip the learning benefits of retrieval

Retrieval strengthens your memory and interrupts forgetting and, as other researchers replicate, as a learning event, the act of retrieving information is considerably more potent than is an additional study opportunity, particularly in terms of facilitating long-term recall.

How I apply retrieval: I retrieve a book’s content from my memory by writing a book summary for every book I want to remember. I ask myself questions like: “How would you summarize the book in three sentences? Which concepts do you want to keep in mind or apply? How does the book relate to what you already know?”

I then publish my summaries on Goodreads or write an article about my favorite insights

How you can apply retrieval: You can come up with your own questions or use mine. If you don’t want to publish your summaries in public, you can write a summary into your journal, start a book club, create a private blog, or initiate a WhatsApp group for sharing book summaries.

a few days after we learn something, forgetting sets in

#3 Spaced Repetition

With spaced repetition, you repeat the same piece of information across increasing intervals.

The harder it feels to recall the information, the stronger the learning effect. “Spaced practice, which allows some forgetting to occur between sessions, strengthens both the learning and the cues and routes for fast retrieval,”

Why it works: It might sound counterintuitive, but forgetting is essential for learning. Spacing out practice might feel less productive than rereading a text because you’ll realize what you forgot. Your brain has to work harder to retrieve your knowledge, which is a good indicator of effective learning.

How I apply spaced repetition: After some weeks, I revisit a book and look at the summary questions (see #2). I try to come up with my answer before I look up my actual summary. I can often only remember a fraction of what I wrote and have to look at the rest.

“Knowledge trapped in books neatly stacked is meaningless and powerless until applied for the betterment of life.”

How you can apply spaced repetition: You can revisit your book summary medium of choice and test yourself on what you remember. What were your action points from the book? Have you applied them? If not, what hindered you?

By testing yourself in varying intervals on your book summaries, you’ll strengthen both learning and cues for fast retrieval.

Why interleaving works: Alternate working on different problems feels more difficult as it, again, facilitates forgetting.

How I apply interleaving: I read different books at the same time.

1) Highlight everything you want to remember

#5 Self-Testing

While reading often falsely tricks us into perceived mastery, testing shows us whether we truly mastered the subject at hand. Self-testing helps you identify knowledge gaps and brings weak areas to the light

“It’s better to solve a problem than to memorize a solution.”

Why it works: Self-testing helps you overcome the illusion of knowledge. “One of the best habits a learner can instill in herself is regular self-quizzing to recalibrate her understanding of what she does and does not know.”

How I apply self-testing: I explain the key lessons from non-fiction books I want to remember to others. Thereby, I test whether I really got the concept. Often, I didn’t

instead of feeling frustrated, cognitive science made me realize that identifying knowledge gaps are a desirable and necessary effect for long-term remembering.

How you can apply self-testing: Teaching your lessons learned from a non-fiction book is a great way to test yourself. Before you explain a topic to somebody, you have to combine several mental tasks: filter relevant information, organize this information, and articulate it using your own vocabulary.

Now that I discovered how to use my Kindle as a learning device, I wouldn’t trade it for a paper book anymore. Here are the four steps it takes to enrich your e-reading experience

How you can apply interleaving: Your brain can handle reading different books simultaneously, and it’s effective to do so. You can start a new book before you finish the one you’re reading. Starting again into a topic you partly forgot feels difficult first, but as you know by now, that’s the effect you want to achieve.

it won’t surprise you that researchers proved highlighting to be ineffective. It’s passive and doesn’t create memory cues.

2) Cut down your highlights in your browser

After you finished reading the book, you want to reduce your highlights to the essential part. Visit your Kindle Notes page to find a list of all your highlights. Using your desktop browser is faster and more convenient than editing your highlights on your e-reading device.

Now, browse through your highlights, delete what you no longer need, and add notes to the ones you really like. By adding notes to the highlights, you’ll connect the new information to your existing knowledge

3) Use software to practice spaced repetitionThis part is the main reason for e-books beating printed books. While you can do all of the above with a little extra time on your physical books, there’s no way to systemize your repetition praxis.

Readwise is the best software to combine spaced repetition with your e-books. It’s an online service that connects to your Kindle account and imports all your Kindle highlights. Then, it creates flashcards of your highlights and allows you to export your highlights to your favorite note-taking app.

Common Learning Myths DebunkedWhile reading and studying evidence-based learning techniques I also came across some things I wrongly believed to be true.

#2 Effective learning should feel easyWe think learning works best when it feels productive. That’s why we continue to use ineffective techniques like rereading or highlighting. But learning works best when it feels hard, or as the authors of ‘Make It Stick’ write: “Learning that’s easy is like writing in sand, here today and gone tomorrow.”

In Conclusion

I developed and adjusted these strategies over two years, and they’re still a work in progress.

Try all of them but don’t force yourself through anything that doesn’t feel right for you. I encourage you to do your own research, add further techniques, and skip what doesn’t serve you

“In the case of good books, the point is not to see how many of them you can get through, but rather how many can get through to you.”— Mortimer J. Adler

when technology changes the travel experience itself — from immersion and surprise to documentary one-upmanship — it defeats the point of the journey. We travel to freshen senses dulled by routine. We travel for discovery and reinvention.

a park ranger in Washington State told me about a group of kids trying to get a fix on 500-year-old trees at the lower elevation of Mount Rainier. They could not fully fathom what they were experiencing, he said, until they could filter it through their phones — as pictures or Wikipedia definitions. Nature deficit disorder, so called, is a symptom of being connected to everything, while being unable to connect to anything.

Gillespie has seen this same pattern before, among Hawaii’s long-jawed goblin spiders. Each island has its own representatives of the four basic types: green, maroon, small brown, and large brown. At first, Gillespie assumed that all the green species were related to each other. But the spiders’ DNA revealed that the ones that live on the same islands are most closely related, regardless of their colors. They too have hopped from one island to another, radiating into the same four varieties wherever they land.

One of the most common misunderstandings about evolution is that it is a random process. Mutations are random, yes, but those mutations then rise and fall in ways that are anything but random. That’s why stick spiders, when they invade a new island, don’t diversify into red species, or zebra-striped ones. The environment of Hawaii sculpts their bodies in a limited number of ways.

Gillespie adds that there’s an urgency to this work. For millions of years, islands like Hawaii have acted as crucibles of evolution, allowing living things to replay evolution’s tape in the way that Gould envisaged. But in a much shorter time span, humans have threatened the results of those natural experiments. “The Hawaiian islands are in dire trouble from invasive species, and environmental modifications,” says Gillespie. “And you have all these unknown groups of spiders—entire lineages of really beautiful, charismatic animals, most of which are undescribed.”

In the summer of 2020, “public-health experts” decided that racism is a public-health crisis comparable to the coronavirus pandemic. It was therefore, they claimed, within their purview to express public support for the Black Lives Matter protests following the murder of George Floyd and to argue that the benefits of such protests outweighed the increased risk of spreading the disease. Those supposed experts actually knew nothing about the likely effects of the protests. They made no concrete predictions about whether they would in any way ameliorate racism in America, just as Nature can make no concrete predictions about whether its political endorsements will actually help a preferred candidate without jeopardizing its other important goals. The political action was expressive, not evidence-based...

as is often the case, a debate which appears to be about the neutrality of institutions is not really about neutrality at all... Rather, it is about whether there is any room left for soberly weighing our goals and values and thinking in a measured way about the consequences of our actions rather than simply reacting to situations in an impulsive and expressive manner, broadcasting our views to the world so that people know where we stand.

Our goals and values might not be “neutral” at all, but they might still be best served by procedures, institutions, and even individuals that follow neutral principles.

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.

“It depends on who’s defining it. One man’s trash is another man’s treasure.”

“All of a sudden they got this big push of registered voters,” Mr. Montgomery said, referring to California. “They were all illegals. The same thing in the state of Washington, Los Angeles and Houston, too.”

That type of insult increases the partisan divide. Paul Indre, a project manager for a hardware goods company in Akron, Ohio, who gets his news from podcasts and television, avoids much of online news. But he understands why people go there in a polarized era.

In other words, people are doing their best to blend in with the crowd.

The challenge of achieving true anonymity, though, is that evading surveillance makes your behavior anomalous—and anomalies stick out. As the Japanese proverb says, "A nail that sticks out gets hammered down." Glenn Greenwald explained recently that simply using encryption can make you a target. For me, this was all the more motivation to disappear.

For those of us who feel confident that we have nothing to hide, the future of Internet security might not seem like a major concern. But we underestimate the many ways in which our online identities can be manipulated.

The U.S. Department of Defense has also figured out how influential Facebook and Twitter can be. In 2011, it announced a new “Social Media in Strategic Communication” (SMISC) program to detect and counter information the U.S. government deemed dangerous. “Since everyone is potentially an influencer on social media and is capable of spreading information,” one researcher involved in a SMISC study told The Guardian, “our work aims to identify and engage the right people at the right time on social media to help propagate information when needed.”

Private companies are also using personal information in hidden ways. They don’t simply learn our tastes and habits, offering us more of what want and less of what we don’t. As Michael Fertik wrote in a 2013 Scientific American article titled “The Rich See a Different Internet Than the Poor,” credit lenders have the ability to hide their offers from people who may need loans the most. And Google now has a patent to change its prices based on who’s buying. 

It is essentially impossible to achieve anonymity online. It requires a complete operational posture that extends from the digital to the physical. Downloading a secure messaging app and using Tor won’t all of a sudden make you “NSA-proof.” And doing it right is really, really hard.

Weighing these trade-offs in my day-to-day life led to a few behavioral changes, but I have a mostly normal relationship with the Internet—I deleted my Facebook account, I encrypt my emails whenever I can, and I use a handful of privacy minded browser extensions. But even those are steps many people are unwilling, or unable, to take.

there has been an uptick in the online discussion on what roll emotion plays in the art and science of raising animals.

The old saying that “people don’t care how much you know until they know how much you care” applies to agvocacy just as much as anything else. Animal rights activists gained ground because, rather than lead with the facts and figures, they tell stories that tug at the heartstrings of those who don’t know better.

Dropping science from the discussion saves time. Think of all the time it takes to spout off some numbers and paste a link to a study. We can use that time to truly listen to our customers and answer them with our own personal stories.

sticking with just the science of what we do is simply not effective. When it comes to talking about how we care for our land and animals, cutting corners straight to the facts and playing it safe hasn’t been working for us. We must show the softer side of farming.

A recent set of experiments shows us that there is a way to help reduce the effects of misinformation on people: the authors amusingly call it the “inoculation.”

which even then were heavily influenced by their pre-existing worldviews.

teaching about misconceptions leads to greater learning overall then just telling somebody the truth.

“Privacy is really about being able to define for ourselves who we are for the world and on our own terms,”

“hyperobjects,” a concept so all-encompassing that it is impossible to adequately describe

invite skepticism because their scale is so vast and sometimes abstract.

When technology governs so many aspects of our lives — and when that technology is powered by the exploitation of our data — privacy isn’t just about knowing your secrets, it’s about autonomy

“Privacy” is an impoverished word — far too small a word to describe what we talk about when we talk about the mining, transmission, storing, buying, selling, use and misuse of our personal information.

not a choice that belongs to an algorithm or data brokerEntities that collect, aggregate and sell individuals’ personal data, derivatives and inferences from disparate public and private sources. Glossary and definitely not to Facebook.”

privacy is about how that data is used to take away our control

real-time data, once assumed to be protected by phone companies, was available for sale to bounty hunters for a $300 fee

ICE officials partnered with a private data firm to track license plate data.

It means reckoning with private surveillance databases armed with dossiers on regular citizens and outsourced to the highest bidder

“Years ago we worried about the N.S.A. building huge server farms, but now it’s much cheaper to go to a private-service vendor and outsource this to a company who can cloak their activity in trade secrets,

“It’s comparable to asking people to stop using air conditioning because of the ozone layer. It’s not likely to happen because the immediate comfort is more valuable than the long-term fear.

The second kind, autonomous motivation, is what we’re seeking. This is when you feel like you’re self-directed, whether you have a natural affinity for the task at hand, or you’re doing something because you understand why it’s worthwhile.

Ms. Winder, who teaches workshops on reconnecting to your sense of purpose, often has students free write about what makes them come alive.

Clinical psychologist Richard M. Ryan, one of two scientists who developed a well-known approach to understanding motivation called self-determination theory, encourages those seeking lasting motivation to take a deep dive into their values.

when you connect the things that are important to you to the things you need to do — even the drudgeries — you can feel more in control of your actions. What do you love about your work? What core value does it meet?

Looking forward to a reward isn’t the best for long-term motivation. But several studies suggest that pairing small, immediate rewards to a task improves both motivation and fun.

Social connections like this are critical to rekindling motivation,

suggested considering how your motivation is tied to the people around you, whether that’s your family or your basketball team.

Reaching out lifts others, too. “Letting someone know that you are thinking of them is enough to kick-start their motivation,” and reminds them that you care,

People also motivate each other through competition.

Students in competitive groups exercised much more often than those in supportive social networks,

New athletic adventures can be motivational gold, too. A 2020 study suggested that trying out novel activities can help you stick with exercise.

Treating ourselves with compassion works much more effectively than beating ourselves up,

“People think they’re going to shame themselves into action,” yet self-compassion helps people stay focused on their goals, reduces fear of failure and improves self-confidence, which can also improve motivation, she said.

Students who were encouraged to be compassionate toward themselves after the test studied longer and performed better on a follow-up test, compared to students given either simple self-esteem-boosting comments or no instruction.

“The key thing about self-compassion and motivation is that it allows you to learn from your failures,”

Moreover, when they attempt to give their expert knowledge for policy decisions, conservatives will choose to ignore the evidence, claiming a liberal bias.

most of the bad news is the potential impact on scientists. Why? Because scientists, he believes -- once perceived by Republicans to be a Democratic interest group -- will lose bipartisan support for federal science funding.

this sort of thinking might well be bad for scientists, but is simply dangerous for the country. As professionals, scientists should not be put into a subservient place by politicians and ideologues. They should never be felt that their advice might well be attached to carrots or sticks.

Political choices can be made after the evidence is presented, but the evidence should stand for what it is. If the evidence itself is rejected by politicians -- as is currently going on -- then the ignorance of the political class should indeed be exposed, and all threats resisted.

This might seem to be a diatribe against conservatives. But really this criticism is aimed at all unscientific thinking.

there are a number on the left who have their own dogmatic beliefs; the most notable are unscientific theories with regard to the dangers of vaccinations, genetically modified produce, or nuclear energy.

While it’s somewhat reassuring that almost half the US stories (41 percent) tried, to varying degrees, to rebut the vaccine-autism connection, the study raises the problem of “objectivity” in stories for which a preponderance of evidence is on one side of a “debate.” In such cases, “balanced” coverage can be irresponsible, because it suggests a controversy where none really exists. (Think climate change, and how such he-said-she-said coverage helped sustain the illusion of a genuine debate within the science community.)

A follow-up study by Clarke and Graham Dixon, published in November 2012, makes this point. The two scholars assigned 320 undergrads to read either a “balanced” article or one that was one-sided for or against a link between vaccines and autism. Those students who read the “balanced” articles were far more likely to believe that a link existed than those who read articles that said no link exits.

Today, people who worry that childhood inoculations trigger autism prefer to be described as “vaccine-hesitant,” rather than “anti-vaccine,” and think the CDC’s immunization schedule “overwhelms” kids’ immune systems. This rhetorical shift is illustrates how those who claim a link exists keep moving the goalposts.

"the presence of Abaaoud in the immediate vicinity of the attacks provides an indication of his degree of implication in the supervision and control of the plot, and suggests he was giving direct orders and instructions to his team inside the Bataclan."

right until the moment the three suicide bombers at the Stade de France started blowing themselves up.

Abaaoud's phone was geo-located in the vicinity of the attacks between 10:28pm and 12:28am that night, inlcuding in proximity to the Bataclan before the attack was over.

Abaaoud had previously appeared in videos produced by ISIS

He was killed five days later when police raided an apartment in the Paris district of St. Denis

"More than 2,000 French citizens and residents are involved in Syrian and Iraqi jihadi networks. Among them, 600 are believed to be fighting alongside terrorist organizations abroad and 250 are believed to have returned," he says.

Abdeslam and Abaaoud are believed to have planned and co-ordinated the attacks. Abdeslam had made several trips between the French and Belgian capitals in September and October, and he had also traveled to Italy, Hungary and Austria.

Paris attacks have focused attention on the substantial French contingent within ISIS

Fabien Clain -- who is now thought to be a senior figure within ISIS according to Brisard.

Salah Abdeslam, who drove three of the suicide bombers to the Stade de France, is still being sought.

Abaaoud had been in contact with that group by cell phone from Greece, according to investigators.

rench foreign fighter told investigators he had attended a training camp for a week in Raqqa, ISIS' headquarters in Syria, before being told by Abaaoud to launch an attack

"Abaaoud had provided him a USB stick containing encryption software and 2,000 euros,"

Paris attacks "demonstrated major failures in European border control policy and the exchange of information between European Union member states.

The 2004 campaign was the year of the “Web log,” or blog, when mainstream reporters and campaigns officially began losing any control they may have had over political new

Marco Rubio’s campaign marched into the election season ready to fight the usual news-cycle-by-news-cycle skirmishes. It was surprised to learn that, lo and behold, “There was no news cycle — everything was one big fire hose,” Alex Conant, a senior Rubio strategist, told me. “News was constantly breaking and at the end of the day hardly anything mattered. Things would happen; 24 hours later, everyone was talking about something else.”

Snapchat represents a change to something else: the longevity of news, how durably it keeps in our brain cells and our servers.

Snapchat is recording the here and the now, playing for today. Tomorrow will bring something new that renders today obsolete. It’s a digital Tibetan sand painting made in the image of the millennial mind.

Snapchat executives say they set up the app this way because this is what their tens of millions of younger users want; it’s how they live.

They can’t possibly have enough bandwidth to process all the incoming information and still dwell on what already was, can they?

Experienced strategists and their candidates, who could always work through their election plans methodically — promoting their candidacies one foot in front of the other, adjusting here and there for the unexpected — suddenly found that they couldn’t operate the way they always did.

The question this year has been whether 2016 will be the “Snapchat election,

Then there was Jeb Bush, expecting to press ahead by presenting what he saw as leading-edge policy proposals that would set off a prolonged back-and-forth. When Mr. Bush rolled out a fairly sweeping plan to upend the college loan system, the poor guy thought this was going to become a big thing.

It drew only modest coverage and was quickly buried by the latest bit from Donald Trump.

In this “hit refresh” political culture, damaging news does not have to stick around for long, either. The next development, good or bad, replaces it almost immediately.

Mr. Miller pointed to a recent episode in which Mr. Trump said a protester at a rally had “ties to ISIS,” after that protester charged the stage. No such ties existed. “He says ‘ISIS is attacking me’; this was debunked in eight minutes by Twitter,” Mr. Miller said. “Cable talked about it for three hours and it went away.”

“Hillary Clinton said that she was under sniper fire in Bosnia” — she wasn’t — “and that has stuck with her for 20 years,”

Mr. Trump has mastered this era of short attention spans in politics by realizing that if you’re the one regularly feeding the stream, you can forever move past your latest trouble, and hasten the mass amnesia.

It was with this in mind that The Washington Post ran an editorial late last week reminding its readers of some of Mr. Trump’s more outlandish statements and policy positions

The Post urged its readers to “remember” more than two dozen items from Mr. Trump’s record, including that he promised “to round up 11 million undocumented immigrants and deport them,” and “lied about President Obama’s birth certificate.”

as the media habits of the young drive everybody else’s, I’m reminded of that old saw about those who forget history. Now, what was I saying?

go this route if you believe privacy is dead, but find social networking too good to miss out on.

While we should be attuned to constraints and their consequences, there are at least four problems with conceptualizing the social media user's dilemma as a version of "if you can't stand the heat, get out of the kitchen".

The efficacy of abandoning social media can be questioned when others are free to share information about you on a platform long after you've left.

Second, while abandoning a single social technology might seem easy, this "love it or leave it" strategy -- which demands extreme caution and foresight from users and punishes them for their naivete -- isn't sustainable without great cost in the aggregate. If we look past the consequences of opting out of a specific service (like Facebook), we find a disconcerting and more far-reaching possibility: behavior that justifies a never-ending strategy of abandoning every social technology that threatens privacy -- a can being kicked down the road in perpetuity without us resolving the hard question of whether a satisfying balance between protection and publicity can be found online

if your current social network has no obligation to respect the obscurity of your information, what justifies believing other companies will continue to be trustworthy over time?

Sticking with the opt-out procedure turns digital life into a paranoid game of whack-a-mole where the goal is to stay ahead of the crushing mallet. Unfortunately, this path of perilously transferring risk from one medium to another is the direction we're headed if social media users can't make reasonable decisions based on the current context of obscurity, but instead are asked to assume all online social interaction can or will eventually lose its obscurity protection.

The fourth problem with the "leave if you're unhappy" ethos is that it is overly individualistic. If a critical mass participates in the "Opt-Out Revolution," what would happen to the struggling, the lonely, the curious, the caring, and the collaborative if the social web went dark?

Our point is that there is a middle ground between reclusion and widespread publicity, and the reduction of user options to quitting or coping, which are both problematic, need not be inevitable, especially when we can continue exploring ways to alleviate the user burden of retreat and the societal cost of a dark social web.

it is easy to presume that "even if you unfriend everybody on Facebook, and you never join Twitter, and you don't have a LinkedIn profile or an About.me page or much else in the way of online presence, you're still going to end up being mapped and charted and slotted in to your rightful place in the global social network that is life." But so long it remains possible to create obscurity through privacy enhancing technology, effective regulation, contextually appropriate privacy settings, circumspect behavior, and a clear understanding of how our data can be accessed and processed, that fatalism isn't justified.