MENTAL MODEL · M7572

Information Filtering

BusinessHigh supportEconomics

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Updated 2026-08-10

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INTRODUCTION

English translation pending.

CORE DEFINITION

Information filtering is the active screening of incoming information by explicit standards, giving priority to what matters and blocking the rest with rules, algorithms, or strategies. Its purpose is to protect attention in an age of overload, and it reverses the default ambition: the goal is not to acquire more information but to filter out what is not needed.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Define the bar first: decide what counts as important from your goals and roles - Build the sieve: set keyword rules, source lists, and priority labels that run automatically - Move the filter upstream: screen at subscription time so the inbox never fills

anchor

Anchor fast decisions

Under overload, attention is the scarce resource, and filtering protects it by applying a clear, tunable standard before information reaches the mind. Filtering complements search: search pulls what is needed, filtering blocks what is not, and a filter works only when its standard is explicit and reviewable, otherwise it silently kills important messages.

MINIMUM ACTION

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Practice this model in one real situation:

Define what counts as important, driven by your goals and your roles 2. Set filters: keywords, source allowlists and blocklists, priority labels 3. Sort what remains into layers: act now, batch later, or ignore outright 4. Review the false kills and the escapees, then adjust the thresholds 5. Move the filter upstream so subscribing is itself an act of selecting

Check to track your progress (stored locally)

Learning progress0%

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Source support: Explicit

link
en.wikipedia.orghttps://en.wikipedia.org/wiki/Information_filtering_systemZH · Explicit
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