Andrew Gurung
  • Introduction
  • Data Science
    • Natural Language Processing
      • Sentiment analysis using Twitter
    • Linear Algebra
      • Linear algebra explained in four pages
      • Vectors
        • Vector Basics
        • Vector Projection
        • Cosine Similarity
        • Vector Norms and Orthogonality
        • Linear combination and span
        • Linear independence and Basis vectors
      • Matrices
        • Matrix Arithmetic
        • Matrix Operations
        • Functions and Linear Transformations
        • Matrix types
      • Eigendecomposition, Eigenvectors and Eigenvalues
      • Principle Component Analysis (PCA)
      • Singular-Value Decomposition(SVD)
      • Linear Algebra: Deep Learning Book
    • Calculus
      • Functions, Limits, Continuity and Differentiability
      • Scalar Derivative and Partial Derivatives
      • Gradient
      • Matrix Calculus
      • Maxima and Minima using Derivatives
      • Gradient Descent and its types
    • Statistics and Probability
      • Probability Rules and Axioms
      • Types of Events
      • Frequentist vs Bayesian View
      • Random Variables
      • MLE, MAP, and Naive Bayes
      • Probability Distributions
      • P-Value and hypothesis test
    • 7 Step DS Process
      • 1: Business Requirement
      • 2: Data Acquisition
      • 3: Data Processing
        • SQL Techniques
        • Cleaning Text Data
      • 4: Data Exploration
      • 5: Modeling
      • 6: Model deployment
      • 7: Communication
    • Miscellaneous
      • LaTeX commands
  • Computer Science
    • Primer
      • Big O Notation
  • Life
    • Health
      • Minimalist Workout Routine
      • Reddit FAQ on Nootropics
      • Hiking/Biking Resources
    • Philosophy
      • Aristotle's Defense of Private Property
    • Self-improvement
      • 100 Mental Models
      • Don't break the chain
      • Cal Newport's 5 Productivity tips
      • Andrew Ng's advice on deliberate practice
      • Atomic Habits
      • Turn sound effects off in Outlook
    • Food and Travel
      • 2019 Guide to Pesticides in Produce
      • Recipe
        • Spicy Sesame Noodles
      • Travel
        • Hiking
    • Art
      • Scott Adams: 80% of the rules of good writing
      • Learn Blues Guitar
    • Tools
      • Software
        • Docker
        • Visual Studio Code
        • Terminal
        • Comparing Git Workflow
      • Life Hacks
        • DIY Deck Cleaner
  • Knowledge Vault
    • Book
      • The Almanack of Naval Ravikant
    • Media
    • Course/Training
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On this page
  • Four Laws of Behavior Change
  • The Habit Loop
  • How to Build a Habit
  • How to Break a Habit (Inversion)

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  1. Life
  2. Self-improvement

Atomic Habits

Four Laws of Behavior Change

  1. Cue

  2. Craving

  3. Response

  4. Reward

Habits + Deliberate Practice = Mastery

The Habit Loop

The cue triggers a craving, which motivates a response, which provides a reward, which satisfies the craving and, ultimately, becomes associated with the cue forming a neurological feedback loop.

The Two-Minute Rule states, “When you start a new habit, it should take less than two minutes to do.”

How to Build a Habit

  1. Cue: Make it obvious

  2. Craving: Make it attractive

  3. Response: Make it easy

  4. Reward: Make it satisfying

Incentives can start a habit. Identity sustains a habit.

How to Break a Habit (Inversion)

  1. Cue: Make it invisible

  2. Craving: make it unattractive

  3. Response: make it difficult

  4. Reward: make it unsatisfying

Feeling motivated gets you to act. Feeling successful gets you to repeat.

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Last updated 6 years ago

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Link:

https://jamesclear.com/atomic-habits