Why You Feel Overwhelmed All The Time (and how to fix it) - David Epstein

David derived this from a combination of Gloria Mark’s research on task‑switching and the Hemingway principle (stopping in the middle of a sentence). Mark’s data show that high switching frequency harms productivity and raises stress, and that people self‑interrupt at the rate they’ve become accustomed to. By working in blocks, you reduce the frequency of switching and retrain your attention. The end‑of‑day decision rule removes the need to decide what to do when willpower is low; you wake up with a clear starting point. He finds it particularly helpful to avoid the mere urgency effect, where people gravitate toward tasks that feel urgent even if they are less important. David personally combines this with keeping a notepad for spontaneous thoughts, so he can stay in the block without losing ideas.

Herbert Simon coined satisficing after observing that humans cannot feasibly maximize utility. Research by Barry Schwarz shows maximizers are more prone to regret and less satisfied even when they make objectively good choices. David applies this to his newsletter: he sends it when he feels it’s a 6.5 out of 10, overcoming the paralysis that would prevent him from publishing. He also notes that satisficing is inherently a maximizing long‑term strategy because it avoids the cost of agonizing and allows more practice and feedback. It can be especially powerful when paired with irreversible commitments, which further reduce regret.

David explains that before 2000, most cardiovascular trials were positive because researchers sifted data retrospectively. After 2000, a funding agency required pre‑registration, and almost all trials turned negative—revealing that earlier ‘positives’ were artifacts. The same logic applies in business: a study randomized companies to hypothesis‑driven training vs. standard market research, and the hypothesis‑driven ones pivoted more and succeeded more. David recommends this for personal decisions too: state your expectation, then let the outcome update your mental model incrementally.

Patricia Stokes’ research on artistic innovators found that they repeatedly used this two‑step method: first define and block the default, then mandate a new element. Claude Monet forbade black and dark shading, forcing him to use pure color side by side to create the impression of light—birth of Impressionism. The method also maps to Jock Butcher’s design constraint (one font, one colorway) and the constraints‑led approach in sport, where coaches architect environments that force athletes to discover their own best solutions. David also applied it to his podcast by removing the trailer and forcing himself to start with a single focused question, clarifying his priority.

David contrasts sliding with deciding, using examples like a couple moving in together because a lease is up rather than because they’ve decided to deepen the commitment. Such passive transitions lead to higher divorce rates and lower happiness, exactly the opposite of what people think when they try to preserve optionality. The same logic underpins the General Magic story: without a clear focus, resources get diluted and collapse. David ties this to Ellen Langer’s maxim: 'Don’t make the right decision, make the decision and then make it right.'

David uses the analogy of fat loss vs. muscle building: dedicating 6 months to each separately yields more fat loss and muscle gain over a year than trying to do both for 12 months. The same principle holds for creative work: Isabel Allende writes one novel at a time on a strict annual schedule, without juggling other books. This approach mirrors the benefits of irreversible, committed focus—it clarifies priorities and reduces the mental residue of switching. It’s an explicit strategy to avoid the trap of multitasking goal pursuit.

David shadowed Allende, who has produced a bestseller roughly every 18 months for 44 years by adhering to extreme discipline: she starts a new book on January 8th (assuming the previous is done), clears a room, lights a candle, blows it out at the end, and keeps a book of Pablo Neruda poems under her computer. All these rituals are associative triggers, like a free‑throw routine, that help her enter her performance zone. Her family knows not to disturb her after January 7th. This structure became so essential to her identity that when she set an unusually short deadline and finished early, she felt lost and began searching for new boundaries (emailing David for ideas).

This principle applies broadly: our brains are energy-saving devices that default to the path of least resistance, making it nearly impossible to be creative when the easiest solution is available. Psychologists call this 'desirable difficulty'—when fewer choices seem to hamper you, you actually think harder and explore the available space more vigorously. This effect powers breakthroughs in art, science, and business, but it’s counterintuitive because surveys consistently show people believe they are most creative when they are most free. The green eggs and ham effect is therefore a corrective to that intuition, showing that constraints are a structured lever for innovation.

The concept has implications for AI art. David suggests that the outrage at AI music might stem from the visibility of the 'plagiarism'—the corpus is literally copied from everyone—whereas human creativity relies on the same undetected borrowing. Historically, every musical movement built on what came before, and constraints (like a guitar with only four strings) forced novel directions. The ethical line blurs when the human involvement declines, but the underlying creative process remains analogous.

The company’s emblematic failure came from engineer Steve Perlman, who, when asked to extend a calendar function, took months coding from the Big Bang to the future instead of a simple four-line code. The experience traumatized employees like Tony Fadell, who then led development of the iPod and founded Nest, where he forced teams to prototype packaging before the product to ensure priorities were clear. Bill Gurley crystallized the lesson: 'More startups die of indigestion than starvation.' The story illustrates that constraints are essential to compel prioritization.

When people switch tasks, they drop one set of rules and activate another, leaving a mental residue that interferes with the next task. Mark found that the more switches per day, the lower end-of-day productivity and the higher stress (measured by heart rate variability and immune markers). Alarmingly, even when people turn off notifications, they self-interrupt at the cadence they’ve become accustomed to, as if an internal distraction barometer wants to maintain the rhythm. To regain focus, Mark advocates working in blocks—e.g., answering email in a few dedicated sessions rather than 77 times a day—which can retrain sustained attention.

This insight extends to decision-making in high-stakes contexts. When people are allowed to exchange items, they are less happy than those who cannot—commitment reduces regret. Scott Stanley’s research on relationships shows that 'sliding' into escalating commitments without explicit decisions leads to less happy marriages and higher divorce rates. David sums it up with Ellen Langer’s advice: don’t make the right decision, make the decision and then make it right. In an age of infinite scrolling and constant comparison, deliberately satisficing in chosen areas frees cognitive resources for what truly matters.

In the lead‑up to 2000, most cardiovascular trials were positive; after 2000, when funding agencies required pre‑registration of predictions, nearly all turned negative. The earlier ‘positive’ studies had been HARKing—hypothesizing after results are known. A similar experiment randomized businesses to training in forming and testing explicit hypotheses about their product‑market fit; those who did pivoted when their theory proved wrong and were more successful. David advocates applying this in personal life: whenever you try something, first state explicitly what you think will happen, then see if the data confirm it, and adjust incrementally.