# Book by Daniel Kahneman - Decision Making "Noise"

**URL:** <https://forum.gcaptain.com/t/book-by-daniel-kahneman-decision-making-noise/48119>\
**Category:** Scuttlebutt\
**Created:** [May 19, 2018, 9:25pm UTC](https://forum.gcaptain.com/t/book-by-daniel-kahneman-decision-making-noise/48119 "2018-05-19T21:25:57Z")\
**Posts on this page:** 1\
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**Author:** ![Kennebec\_Captain](https://sea2.discourse-cdn.com/flex016/user_avatar/forum.gcaptain.com/kennebec_captain/32/13_2.png) [@Kennebec\_Captain](https://forum.gcaptain.com/u/Kennebec_Captain)\
**Post date:** [May 19, 2018, 9:25pm UTC](https://forum.gcaptain.com/t/book-by-daniel-kahneman-decision-making-noise/48119/1 "2018-05-19T21:25:57Z")

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Kahneman, author of “Thinking Fast and Slow” has a new book coming out called “Noise” according to this post:[Erik Brynjolfsson interviews Daniel Kahneman](https://marginalrevolution.com/marginalrevolution/2018/05/erik-brynjolfsson-interviews-daniel-kahneman.html).

Meanwhile; [here’s an article in HBR about the subject](https://hbr.org/2016/10/noise).

From the book:

> We call the chance variability of judgments noise.

The article at HBR talks about using algorithms to reduce noise.

A definition from the internet:

> An algorithm is a set of steps (the instructions) each of which is simple and well defined, and that stops after a finite number of these steps.
> 
> If we wanted a less intimidating definition of an algorithm, we turn to the kitchen:
> 
> An algorithm is like a recipe. It takes “inputs” (the ingredients), performs a set of simple and (hopefully) well-defined steps, and then terminates after producing an “output” (the meal)