PRODUCTIVITYDays to result

The Marginal Value Foraging Model for Attention

Treat your attention like a foraging animal treats food sources

Problem it solves

digital distraction or shallow focus patterns

Best for

Knowledge workers, students, and anyone struggling with digital distraction or shallow focus patterns

Not ideal for

Roles requiring constant context-switching such as customer support or emergency response coordinators

Overview

Why this framework exists

Dr. Michael Platt draws on mathematical ecologist Eric Charnov's 1976 marginal value theorem to explain how our brains allocate attention. Just as animals leave a food source when its return falls below the environmental average, our brains leave a task or information source when the perceived return drops below the average of all available sources. This is not a bug but a deeply evolved computation that every observed animal performs.

The critical insight is that the richness of your environment determines how quickly you abandon any single source. In a sparse environment (one book, no phone, no tabs), you stick with what you have and extract deep value. In a rich environment (12 browser tabs, phone nearby, TV on), you flit between sources rapidly, never going deep. Even having your phone in the same room degrades working memory because your brain unconsciously includes it in the foraging calculation.

The practical application is environmental impoverishment for deep work: remove devices, reduce available information sources, and make the remaining source the only game in town. Platt also notes that making a device less rewarding (e.g., setting your phone to monochrome mode) measurably reduces checking behavior by lowering the perceived return rate of that source.

Core principles

4 total
  1. Your brain leaves a task when its perceived return falls below the average return of all available alternatives
  2. The richer the environment (more devices, tabs, inputs), the faster you abandon any single source
  3. Even unconscious awareness of an alternative source (phone in the room) degrades focus by being included in the foraging calculation
  4. You can shift the equation by impoverishing the environment or degrading alternative sources

Steps

5 steps
  1. Audit Your Foraging Environment
    Before starting focused work, inventory every information source available to you: phone, tabs, notifications, screens, other people. Each one your brain registers as a potential foraging patch, pulling you away from your primary task.
    Pro tipResearch shows your phone must be in a completely separate room, not just face-down or in a bag, to eliminate its effect on working memory.
  2. Impoverish the Environment
    Physically remove all alternative sources. Close all browser tabs except what you need. Put your phone in another room. Turn off notifications. The goal is to make your primary task the only available foraging patch.
    Pro tipIf you cannot remove your phone, setting it to monochrome (grayscale) mode measurably reduces its appeal as a foraging source.
    WarningDo not rely on willpower alone. The foraging computation runs below conscious awareness, so environmental design beats discipline.
  3. Accept the Warm-Up Period
    Expect roughly 10 minutes of difficulty before dropping into focused attention. Platt and Huberman compare this to physical warm-ups before exercise: neural circuits need time to narrow their aperture of attention. This is normal, not a sign of ADHD or deficiency.
    Pro tipA brief visual focus exercise (staring at a single point for 60 seconds) can help narrow your attentional aperture before cognitive work, based on studies done with students in China.
  4. Use Focused Visual Attention as a Cognitive Warm-Up
    Before deep cognitive work, spend 1-2 minutes focusing your eyes on a small visual target at a set distance. This narrows your visual aperture which research shows carries over into a narrower cognitive aperture, priming your brain for focused rather than exploratory mode.
    Pro tipConversely, if you need creativity or exploration, spend time looking at wide panoramic views or dispersed visual fields. Panoramic vision is associated with decreased autonomic arousal and broader cognitive exploration.
  5. Monitor and Reset
    When you notice the urge to check something else, recognize it as the anterior cingulate cortex generating an urgency signal because perceived returns are dropping. Take a breath, re-engage with the material, and remember the signal is a feature of the foraging algorithm, not evidence that you should actually switch.
    WarningIf you reintroduce a rich source mid-session (check your phone once), you reset your brain's estimate of environmental richness, making it harder to return to focused work.

Checklist

Saved in your browser

Examples

3 cases
The Dial-Up Internet Deep Reader

Platt describes graduate school in the era of dial-up modems, where loading a single web page took 30 seconds or more. In this information-poor environment, students would read entire articles, print them out, and file them. The slow, sparse environment forced deep engagement with each source.

OutcomeThe same brain and the same foraging algorithm that produces distracted scrolling today produced deep scholarly reading in a sparser environment, demonstrating that the variable is environmental richness, not personal discipline.
Monochrome Phone Experiment

Research cited by Platt shows that when users set their smartphone displays to grayscale (monochrome), they check their phones less frequently and spend less time on them per session.

OutcomeBy degrading the return rate of the phone as a foraging source (less visual reward from the screen), the brain's foraging algorithm naturally deprioritizes it, reducing distraction without requiring willpower.
Pre-Task Visual Focus in Chinese Schools

Studies conducted in China had students focus on a fixation point before sitting down to do cognitive work. The narrow visual aperture primed the brain for focused rather than exploratory cognitive processing.

OutcomeStudents who performed the visual focus exercise showed improved attention and performance on subsequent cognitive tasks, demonstrating that behavioral tools can serve as pharmacology-free cognitive enhancers.

Common mistakes

4 traps
Relying on Willpower Instead of Environment Design
The foraging computation operates below conscious awareness. Research consistently shows environmental modification (removing devices) outperforms willpower-based approaches. You cannot out-think a system that runs unconsciously.
Skipping the Warm-Up Period
Many people interpret the first 5-10 minutes of difficulty as evidence they cannot focus, when it is simply the neural equivalent of a physical warm-up. Quitting during this period and switching to an easier task trains the brain to expect quick returns.
Assuming Multi-Tasking Is Efficient
What feels like productive multi-tasking is actually rapid foraging between depleting sources. Each switch resets the attention warm-up. The net result is shallow engagement with everything and deep engagement with nothing.
Keeping the Phone Face-Down on the Desk
Studies show that working memory is significantly worse when your phone is anywhere in the same room, even face-down or in a bag. The brain unconsciously factors it into foraging calculations. It must be in a completely separate space.

Origin story

How this framework came to be

This framework originates from Eric Charnov's marginal value theorem (1976) in mathematical ecology, which Platt's lab and computer scientists around 2000 began applying to web browsing and digital attention. Platt connects his own experience of graduate school dial-up internet (sparse environment, deep reading) to today's high-speed multi-tab browsing (rich environment, shallow skimming) to illustrate how the same foraging algorithm produces radically different attention patterns depending on environmental richness.

Source

Traced to primary
Source · PODCAST
How to Make Better Decisions
Andrew Huberman & Dr. Michael Platt · 2025
Open source →

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