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Kindle Notes & Highlights
by
Cal Newport
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November 22 - November 28, 2025
Deep Work: Professional activities performed in a state of distraction-free concentration that push your cognitive capabilities to their limit. These efforts create new value, improve your skill, and are hard to replicate. Deep work is necessary to wring every last drop of value out of your current intellectual capacity.
2012 McKinsey study found that the average knowledge worker now spends more than 60 percent of the workweek engaged in electronic communication and Internet searching, with close to 30 percent of a worker’s time dedicated to reading and answering e-mail alone. This state of fragmented attention cannot accommodate deep work, which requires long periods of uninterrupted thinking. At the same time, however, modern knowledge workers are not loafing. In fact, they report that they are as busy as ever. What explains the discrepancy? A lot can be explained by another type of effort, which provides a
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Deep work is not some nostalgic affectation of writers and early-twentieth-century philosophers. It’s instead a skill that has great value today. There are two reasons for this value. The first has to do with learning. We have an information economy that’s dependent on complex systems that change rapidly. Some of the computer languages Benn learned, for example, didn’t exist ten years ago and will likely be outdated ten years from now. Similarly, someone coming up in the field of marketing in the 1990s probably had no idea that today they’d need to master digital analytics. To remain valuable
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it’s the rise of digital technology in particular that’s transforming our labor markets in unexpected ways. “We are in the early throes of a Great Restructuring,” Brynjolfsson and McAfee explain early in their book. “Our technologies are racing ahead but many of our skills and organizations are lagging behind.” For many workers, this lag predicts bad news. As intelligent machines improve, and the gap between machine and human abilities shrinks, employers are becoming increasingly likely to hire “new machines” instead of “new people.” And when only a human will do, improvements in
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I just identified two groups that are poised to thrive and that I claim are accessible: those who can work creatively with intelligent machines and those who are stars in their field. What’s the secret to landing in these lucrative sectors of the widening digital divide? I argue that the following two core abilities are crucial. Two Core Abilities for Thriving in the New Economy 1. The ability to quickly master hard things. 2. The ability to produce at an elite level, in terms of both quality and speed.
To learn hard things quickly, you must focus intensely without distraction. To learn, in other words, is an act of deep work. If you’re comfortable going deep, you’ll be comfortable mastering the increasingly complex systems and skills needed to thrive in our economy. If you instead remain one of the many for whom depth is uncomfortable and distraction ubiquitous, you shouldn’t expect these systems and skills to come easily to you.
Like fingers pointing to the moon, other diverse disciplines from anthropology to education, behavioral economics to family counseling, similarly suggest that the skillful management of attention is the sine qua non of the good life and the key to improving virtually every aspect of your experience. This concept upends the way most people think about their subjective experience of life. We tend to place a lot of emphasis on our circumstances, assuming that what happens to us (or fails to happen) determines how we feel. From this perspective, the small-scale details of how you spend your day
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We can now step back and use Gallagher’s grand theory to better understand the role of deep work in cultivating a good life. This theory tells us that your world is the outcome of what you pay attention to, so consider for a moment the type of mental world constructed when you dedicate significant time to deep endeavors. There’s a gravity and sense of importance inherent in deep work—whether
Among many breakthroughs, Csikszentmihalyi’s work with ESM helped validate a theory he had been developing over the preceding decade: “The best moments usually occur when a person’s body or mind is stretched to its limits in a voluntary effort to accomplish something difficult and worthwhile.” Csikszentmihalyi calls this mental state flow (a term he popularized with a 1990 book of the same title). At the time, this finding pushed back against conventional wisdom. Most people assumed (and still do) that relaxation makes them happy. We want to work less and spend more time in the hammock. But
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To elaborate this point, let’s jump from the old-fashioned examples of carving wood or smithing metal to the modern example of computer programming. Consider this quote from the coding prodigy Santiago Gonzalez describing his work to an interviewer: Beautiful code is short and concise, so if you were to give that code to another programmer they would say, “oh, that’s well written code.” It’s much like as if you were writing a poem. Gonzalez discusses computer programming similarly to the way woodworkers discuss their craft in the passages quoted by Dreyfus and Kelly. The Pragmatic Programmer,
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In our current culture, we place a lot of emphasis on job description. Our obsession with the advice to “follow your passion” (the subject of my last book), for example, is motivated by the (flawed) idea that what matters most for your career satisfaction is the specifics of the job you choose. In this way of thinking, there are some rarified jobs that can be a source of satisfaction—perhaps working in a nonprofit or starting a software company—while all others are soulless and bland. The philosophy of Dreyfus and Kelly frees us from such traps. The craftsmen they cite don’t have rarified
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the monastic philosophy of deep work scheduling. This philosophy attempts to maximize deep efforts by eliminating or radically minimizing shallow obligations. Practitioners of the monastic philosophy tend to have a well-defined and highly valued professional goal that they’re pursuing, and the bulk of their professional success comes from doing this one thing exceptionally well. It’s this clarity that helps them eliminate the thicket of shallow concerns that tend to trip up those whose value proposition in the working world is more varied.
the bimodal philosophy of deep work. This philosophy asks that you divide your time, dedicating some clearly defined stretches to deep pursuits and leaving the rest open to everything else. During the deep time, the bimodal worker will act monastically—seeking intense and uninterrupted concentration. During the shallow time, such focus is not prioritized. This division of time between deep and open can happen on multiple scales. For example, on the scale of a week, you might dedicate a four-day weekend to depth and the rest to open time. Similarly, on the scale of a year, you might dedicate
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“I saw my chance. I had to ask Seinfeld if he had any tips for a young comic. What he told me was something that would benefit me for a lifetime.” Seinfeld began his advice to Isaac with some common sense, noting “the way to be a better comic was to create better jokes,” and then explaining that the way to create better jokes was to write every day. Seinfeld continued by describing a specific technique he used to help maintain this discipline. He keeps a calendar on his wall. Every day that he writes jokes he crosses out the date on the calendar with a big red X. “After a few days you’ll have
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concept is simple: By leveraging a radical change to your normal environment, coupled perhaps with a significant investment of effort or money, all dedicated toward supporting a deep work task, you increase the perceived importance of the task. This boost in importance reduces your mind’s instinct to procrastinate and delivers an injection of motivation and energy.
the whiteboard effect. For some types of problems, working with someone else at the proverbial shared whiteboard can push you deeper than if you were working alone. The presence of the other party waiting for your next insight—be it someone physically in the same room or collaborating with you virtually—can short-circuit the natural instinct to avoid depth.
“The more you try to do, the less you actually accomplish.” They elaborate that execution should be aimed at a small number of “wildly important goals.” This simplicity will help focus an organization’s energy to a sufficient intensity to ignite real results. For an individual focused on deep work, the implication is that you should identify a small number of ambitious outcomes to pursue with your deep work hours. The general exhortation to “spend more time working deeply” doesn’t spark a lot of enthusiasm. To instead have a specific goal that would return tangible and substantial professional
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Once you’ve identified a wildly important goal, you need to measure your success. In 4DX, there are two types of metrics for this purpose: lag measures and lead measures. Lag measures describe the thing you’re ultimately trying to improve. For example, if your goal is to increase customer satisfaction in your bakery, then the relevant lag measure is your customer satisfaction scores. As the 4DX authors explain, the problem with lag measures is that they come too late to change your behavior: “When you receive them, the performance that drove them is already in the past.” Lead measures, on the
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The scientific literature has emphasized the benefits of conscious deliberation in decision making for hundreds of years… The question addressed here is whether this view is justified. We hypothesize that it is not. Lurking in this bland statement is a bold claim. The authors of this study, led by the Dutch psychologist Ap Dijksterhuis, set out to prove that some decisions are better left to your unconscious mind to untangle. In other words, to actively try to work through these decisions will lead to a worse outcome than loading up the relevant information and then moving on to something else
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A frequently cited 2008 paper appearing in the journal Psychological Science describes a simple experiment. Subjects were split into two groups. One group was asked to take a walk on a wooded path in an arboretum near the Ann Arbor, Michigan, campus where the study was conducted. The other group was sent on a walk through the bustling center of the city. Both groups were then given a concentration-sapping task called backward digit-span. The core finding of the study is that the nature group performed up to 20 percent better on the task. The nature advantage still held the next week when the
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The concept of a shutdown ritual might at first seem extreme, but there’s a good reason for it: the Zeigarnik effect. This effect, which is named for the experimental work of the early-twentieth-century psychologist Bluma Zeigarnik, describes the ability of incomplete tasks to dominate our attention. It tells us that if you simply stop whatever you are doing at five p.m. and declare, “I’m done with work until tomorrow,” you’ll likely struggle to keep your mind clear of professional issues, as the many obligations left unresolved in your mind will, as in Bluma Zeigarnik’s experiments, keep
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I propose an alternative to the Internet Sabbath. Instead of scheduling the occasional break from distraction so you can focus, you should instead schedule the occasional break from focus to give in to distraction. To make this suggestion more concrete, let’s make the simplifying assumption that Internet use is synonymous with seeking distracting stimuli. (You can, of course, use the Internet in a way that’s focused and deep, but for a distraction addict, this is a difficult task.) Similarly, let’s consider working in the absence of the Internet to be synonymous with more focused work. (You
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productive meditation. The goal of productive meditation is to take a period in which you’re occupied physically but not mentally—walking, jogging, driving, showering—and focus your attention on a single well-defined professional problem. Depending on your profession, this problem might be outlining an article, writing a talk, making progress on a proof, or attempting to sharpen a business strategy. As in mindfulness meditation, you must continue to bring your attention back to the problem at hand when it wanders or stalls.
wasn’t born with an exceptional memory,” Kilov told me. Indeed, during high school he considered himself forgetful and disorganized. He also struggled academically and was eventually diagnosed with attention deficit disorder. It was after a chance encounter with Tansel Ali, one of the country’s most successful and visible memory champions, that Kilov began to seriously train his memory. By the time he earned his college degree he had won his first national competition medal. This transformation into a world-class mental athlete was rapid, but not unprecedented. In 2006, the American science
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If you can find some extra benefit in using a service like Facebook—even if it’s small—then why not use it? I call this way of thinking the any-benefit mind-set, as it identifies any possible benefit as sufficient justification for using a network tool. In more detail: The Any-Benefit Approach to Network Tool Selection: You’re justified in using a network tool if you can identify any possible benefit to its use, or anything you might possibly miss out on if you don’t use it. The problem with this approach, of course, is that it ignores all the negatives that come along with the tools in
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The Craftsman Approach to Tool Selection: Identify the core factors that determine success and happiness in your professional and personal life. Adopt a tool only if its positive impacts on these factors substantially outweigh its negative impacts. Notice that this craftsman approach to tool selection stands in opposition to the any-benefit approach. Whereas the any-benefit mind-set identifies any potential positive impact as justification for using a tool, the craftsman variant requires that these positive impacts affect factors at the core of what’s important to you and that they outweigh
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The first step of this strategy is to identify the main high-level goals in both your professional and your personal life. If you have a family, for example, then your personal goals might involve parenting well and running an organized household. In the professional sphere, the details of these goals depend on what you do for a living. In my own work as a professor, for example, I pursue two important goals, one centered on being an effective teacher in the classroom and effective mentor to my graduate students, and another centered on being an effective researcher. While your goals will
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The Law of the Vital Few*: In many settings, 80 percent of a given effect is due to just 20 percent of the possible causes. For example, it might be the case that 80 percent of a business’s profits come from just 20 percent of its clients, 80 percent of a nation’s wealth is held by its richest 20 percent of citizens, or 80 percent of computer software crashes come from just 20 percent of the identified bugs. There’s a formal mathematical underpinning to this phenomenon (an 80/20 split is roughly what you would expect when describing a power law distribution over impact—a type of distribution
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This strategy picks specifically on social media because among the different network tools that can claim your time and attention, these services, if used without limit, can be particularly devastating to your quest to work deeper. They offer personalized information arriving on an unpredictable intermittent schedule—making them massively addictive and therefore capable of severely damaging your attempts to schedule and succeed with any act of concentration. Given these dangers, you might expect that more knowledge workers would avoid these tools altogether—especially those like computer
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depth: entertainment-focused websites designed to capture and hold your attention for as long as possible. At the time of this writing, the most popular examples of such sites include the Huffington Post, BuzzFeed, Business Insider, and Reddit. This list will undoubtedly continue to evolve, but what this general category of sites shares is the use of carefully crafted titles and easily digestible content, often honed by algorithms to be maximally attention catching. Once you’ve landed on one article in one of these sites, links on the side or bottom of the page beckon you to click on another,
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Schedule every minute of your day. Here’s my suggestion: At the beginning of each workday, turn to a new page of lined paper in a notebook you dedicate to this purpose. Down the left-hand side of the page, mark every other line with an hour of the day, covering the full set of hours you typically work. Now comes the important part: Divide the hours of your workday into blocks and assign activities to the blocks. For example, you might block off nine a.m. to eleven a.m. for writing a client’s press release. To do so, actually draw a box that covers the lines corresponding to these hours, then
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The purpose of this strategy is to give you an accurate metric for resolving such ambiguity—providing you with a way to make clear and consistent decisions about where given work tasks fall on the shallow-to-deep scale. To do so, it asks that you evaluate activities by asking a simple (but surprisingly illuminating) question: How long would it take (in months) to train a smart recent college graduate with no specialized training in my field to complete this task?
This question is meant as a thought experiment (I’m not going to ask you to actually hire a recent college graduate to take over tasks that score low). But the answers it provides will help you objectively quantify the shallowness or depth of various activities. If our hypothetical college graduate requires many months of training to replicate a task, then this indicates that the task leverages hard-won expertise. As argued earlier, tasks that leverage your expertise tend to be deep tasks and they can therefore provide a double benefit: They return more value per time spent, and they stretch
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Here’s an important question that’s rarely asked: What percentage of my time should be spent on shallow work? This strategy suggests that you ask it. If you have a boss, in other words, have a conversation about this question. (You’ll probably have to first define for him or her what “shallow” and “deep” work means.) If you work for yourself, ask yourself this question. In both cases, settle on a specific answer. Then—and this is the important part—try to stick to this budget. (The strategies that precede and follow this one will help you achieve this goal.) For most people in most
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conversations, I sent exactly five e-mails after five thirty p.m. The immediate story told by these statistics is that, with few exceptions, I don’t send e-mails after five thirty. But given how intertwined e-mail has become with work in general, there’s a more surprising reality hinted by this behavior: I don’t work after five thirty p.m. I call this commitment fixed-schedule productivity, as I fix the firm goal of not working past a certain time, then work backward to find productivity strategies that allow me to satisfy this declaration. I’ve practiced fixed-schedule productivity
To summarize, the technologies underlying e-mail are transformative, but the current social conventions guiding how we apply this technology are underdeveloped. The notion that all messages, regardless of purpose or sender, arrive in the same undifferentiated inbox, and that there’s an expectation that every message deserves a (timely) response, is absurdly unproductive. The sender filter is a small but useful step toward a better state of affairs, and is an idea whose time has come—at least for the increasing number of entrepreneurs and freelancers who both receive a lot of incoming
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Consider the following standard e-mails: E-mail #1: “It was great to meet you last week. I’d love to follow up on some of those issues we discussed. Do you want to grab coffee?” E-mail #2: “We should get back to the research problem we discussed during my last visit. Remind me where we are with that?” E-mail #3: “I took a stab at that article we discussed. It’s attached. Thoughts?” These three examples should be familiar to most knowledge workers, as they’re representative of many of the messages that fill their inboxes. They’re also potential productivity land mines: How you respond to them
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The process-centric approach to e-mail can significantly mitigate the impact of this technology on your time and attention. There are two reasons for this effect. First, it reduces the number of e-mails in your inbox—sometimes significantly (something as simple as scheduling a coffee meeting can easily spiral into half a dozen or more messages over a period of many days, if you’re not careful about your replies). This, in turn, reduces the time you spend in your inbox and reduces the brainpower you must expend when you do. Second, to steal terminology from David Allen, a good process-centric
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Deep work is way more powerful than most people understand. It’s a commitment to this skill that allowed Bill Gates to make the most of an unexpected opportunity to create a new industry, and that allowed me to double my academic productivity the same year I decided to concurrently write a book. To leave the distracted masses to join the focused few, I’m arguing, is a transformative experience. The deep life, of course, is not for everybody. It requires hard work and drastic changes to your habits. For many, there’s a comfort in the artificial busyness of rapid e-mail messaging and social
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