MENTAL MODEL · M1690

Local Maximum

TechnicalHigh supportAlgorithms

Included

Version 1.0.0 · Updated 2026-07-30

CORE DEFINITION

You climb to the top of a mountain and think it's the highest point. But actually this is just a small hill (local), and the real Everest (global) lies beyond the valley opposite. To reach Everest, you must first go downhill (accept temporary regression).

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

Courage for transformation. When you hit a bottleneck in your current career and cannot break through, you are at a local maximum. Don't stubbornly persist. Dare to "go downhill" (take a pay cut to change careers, go back to retrain), traverse the trough, and then you can climb a higher mountain.

anchor

Anchor fast decisions

A local maximum is a point where a function takes a maximum value within a neighborhood but not globally; in optimization, it corresponds to the "small hill trap." The mechanism is that to reach the global maximum (Everest), you must first leave the local maximum (go downhill through the valley).

MINIMUM ACTION

In progress 0/3

Practice this model in one real situation:

When you hit a bottleneck in your career or project and cannot break through, acknowledge that you are at a local maximum
dare to "go downhill" (take a pay cut to change careers, retrain) to traverse the trough and then climb higher
use multi-start search to avoid premature stopping.

Check to track your progress (stored locally)

Learning progress0%

account_treeGenealogyexpand_more

menu_bookReferencesexpand_more

Source support: Explicit

link
zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E6%9E%81%E5%80%BCZH · Explicit
verified

RELATED MODELS