Skip to content
HomeVideosBooks
AllTopicsTrends
BlogsPodcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K
    Chaos making a new sciencejames gleick

    Chaos making a new science

    james gleick · 1987

    The author describes how scientists studying the growth of complexity in nature are discovering order and pattern in chaos. He explains concepts such as nonlinearity, the Butterfly Effect, universal constants, fractals, and strange attractors, and examines the work of scientists such as Mitchell J. Feigenbaum, Edward Lorenz, and Benoit Mandelbrot.

    Psychology & BehaviorPopular Science
    Open LibraryAmazon
    Stats for nerds
    22recommend
    39mentions
    34people
    2010–2025years
    62% recommend36% neutral3% critical

    Mentions per year

    201020122014201620182020202220242025

    What Hacker News says

    1. dmbcheApr 2025
      You've stumbled upon Chaos Theory (https://en.m.wikipedia.org/wiki/Chaos_theory), which aims to study chaotic systems (charactesised by very high relation to initial variables - see weather prediction, double pendulum, etc).

      Some problems are too sensible to initial variables and solutions are not prescriptive like regular physics - meaning that variability at the 20th decimal in your initial variables will induce massive output differences. Lorentz discovery of this is interesting as he was working on weather modelling, it's a clear example of the issues with chaotic systems. He was running simulations of weather systems with multiple fixed initial variables (temperature, wind speed, etc) and seeing how the system progressed over a few hours. He realised that after a typo on a very far away decimal on a single parameter, the system was modelling the complete opposite of what we had seen in the previous test (think it was forecasting a typhoon when it used to say sunny day), even while using values that would be "equal" with relation to the precision of the measuring equipement. And that's nothing to talk about getting clean, precise enough data for such models, which is practically impossible (see the observer effect, between other causes). Garbage in, garbage out.

      All this to say that problems in this sphere are characterized by quickly becoming untractable and impossible to model precisely how they evolve over time.

      I can recommend James Gleick's Chaos: Making a new science for a overview for the layperson.

      thread
    2. taneqOct 2024
      Yep, you're getting it. That same universal principle where the interesting things all happen in that boundary between boring and random (ie. trivially-predictable, and not-predictable-under-any-conditions).

      If you haven't already, I heartily recommend James Gleick's book "Chaos" (https://en.wikipedia.org/wiki/Chaos:_Making_a_New_Science) which is, to me, the introduction to both self similarity and sensitive dependence on initial conditions.

      thread
    3. orielJul 2024
      This has been a topic of interest for me for almost a decade so far.

      See also: non-linear dynamics, dynamical systems

      The study of Complexity in the US Sciences is fairly recent, with the notable kickoff of the Santa Fe Institute [1]. They have all the resources there, from classes to scientific conferences.

      A few book recommendations I've picked up over the years:

      - Lewin, Complexity: Life at the Edge of Chaos [2] (recommended for a gentle introduction with history)

      - Gleick, Chaos: Making a New Science [3]

      - Holland, Emergence: From Chaos To Order [4]

      - Holland, Signals and Boundaries: Building Blocks for Complex Adaptive Systems [5]

      - Holland, Hidden Order: How Adaptation Builds Complexity [6] (unread but part of the series)

      - Miller, Complex Adaptive Systems: An Introduction to Computational Models of Social Life [7]

      - Strogatz, Nonlinear Dynamics And Chaos: With Applications To Physics, Biology, Chemistry, And Engineering [11] (edit: forgot i had this on my desk)

      Also a shoutout to Stephen Wolfram, reading one of his articles [8] about underlying structures while stuck at an airport proved to be a pivotal moment in my life.

      - Wolfram's New Kind of Science, as an exploration of simple rules computed to the point of complex behavior. [9]

      - Wolfram's Physics Project, a later iteration on NKS ideas with some significant and thorough publication of work. [10]

      Links:

      [1] https://www.santafe.edu/

      [2] https://www.amazon.com/gp/product/0226476553

      [3] https://www.amazon.com/gp/product/0143113453

      [4] https://www.amazon.com/gp/product/0738201421

      [5] https://www.amazon.com/gp/product/0262525933

      [6] https://www.amazon.com/Hidden-Order-Adaptation-Builds-Comple...

      [7] https://www.amazon.com/gp/product/0691127026

      [8] https://writings.stephenwolfram.com/2015/12/what-is-spacetim...

      [9] https://www.wolframscience.com/nks/

      [10] https://wolframphysics.org/

      [11] https://www.amazon.com/Nonlinear-Dynamics-Chaos-Applications...

      thread
    4. dmbcheAug 2023
      James Gleick's "Chaos: Making a new science" will answer your questions and is a fun read!
      thread
    5. belfalasJan 2023
      Many more beyond this but these are my for sures.

      People / Soft Skills:

      * How to win friends and Influence People - Dale Carnegie

      * Secrets of Consulting - Gerald Weinberg

      * Peopleware - Tom DeMarco & Timothy Lister

      * Nurtured by Love - Shinici Suzuki

      * Turn the Ship Around! - David Marquet

      * Never Split the Difference - Chris Voss

      http://dhemery.com/articles/resistance_as_a_resource/

      http://dhemery.com/articles/managing_yourself_through_change...

      Macro Skills:

      * Toyota Production System - Taiichii Ohno

      * Workplace Management - Taiichii Ohno

      * Thinking in Systems - Donella Meadows

      * Fifth Discipline - Peter Senge

      Agile:

      * Extreme Programming, Explained (2nd ed.) - Kent Beck (the annotated bibliography is a goldmine)

      * Chaos: Making a New Science - James Gleick

      Programming:

      * Implementation Patterns - Kent Beck

      * Test-Driven Development, By Example - Kent Beck

      * Refactoring (both editions) - Martin Fowler

      * Refactoring to Patterns - Joshua Kerievsky

      * Practical Object Oriented Design - Sandi Metz

      * Functional Programming in Scala - Chiusano & Bjarnason

      * Growing Object-Oriented Software, Guided By Tests - Freeman & Pryce ("The Goose Book")

      * Modern Java in Action - Raoul-Gabriel Urma

      * Java Concurrency in Practice - Brian Goetz

      * Grokking Algorithms - Aditya Y. Bhargava

      Architecture:

      * Righting Software - Juval Lowy

      * Release It! - Michael Nygard

      * Site Reliability Engineering - Beyer, et al. ("The SRE Book”)

      * Domain Driven Design - Eric Evans

      * Introduction to Permaculture - Bill Mollison and Mia Slay

      * Fun with a Pencil - Andrew Loomis

      Design:

      * All books by Edward Tufte, especially “The visual display of quantitative information”

      * The Elements of Typographic Style - Robert Bringhurst

      * Understanding Comics - Scott McCloud

      * Design of Everyday Things - Don Norman

      * Notes on the Synthesis of Form - Christopher Alexander

      * The Timeless Way of Building - Christopher Alexander

      thread
    6. wglbNov 2022
      I was unable to finish "Tipping Point" as it was, in my view, a failed kindergarten-level attempt to explain Chaos, which was done so superbly in 'Chaos: Making a New Science' by James Gleick.

      That plus his howler about "Igon Value."

      A good storyteller, yes, but that is the limit.

      thread

    Related

    Cover of Chaos
    2008–2026

    Chaos

    James Gleick
    45 recommend · 71
    Cover of Complex adaptive systems
    2019–2024

    Complex adaptive systems

    John H. Miller
    1 recommend · 2
    Cover of A new kind of science
    2007–2026

    A new kind of science

    Stephen Wolfram
    44 recommend · 388
    Cover of Emergence
    2013–2024

    Emergence

    John H. Holland
    3 recommend · 3
    Cover of Complexity
    2007–2024

    Complexity

    Roger Lewin
    3 recommend · 4
    Cover of The Information
    2011–2026

    The Information

    James Gleick
    61 recommend · 92
    Cover of Nonlinear dynamics and Chaos
    2008–2026

    Nonlinear dynamics and Chaos

    Steven H. Strogatz
    24 recommend · 35
    Cover of The essence of chaos
    2011–2023

    The essence of chaos

    Edward N. Lorenz
    1 recommend · 4