#ThinkingFastAndSlow

Deep Smartsdeepsmartsllc
2024-07-27

Inspired by Daniel Kahneman's "Thinking Fast and Slow," these notes dive into the two systems of thought: the fast, intuitive System 1 and the slow, deliberate System 2. Learn how recognizing these patterns can help minimize decision-making mistakes and improve judgment. Embrace cognitive biases, and use insights to make better decisions.

Deep Notes: briannwokedi.com/wp-content/up

"Thinking Fast and Slow Picture Summary by Brian Nwokedi. There are two systems of thought: The Intuitive System 1 and the Effortful System 2. Inspired by Daniel Kahneman's work, this summary explores how recognizing these patterns can minimize decision-making mistakes and improve judgment. Embrace cognitive biases and use insights to make better decisions.
2024-07-13

Pepper is checking out the new shelf in my office. She found a book next to her that she's read numerous times and had no idea that I'd read it too. #caturday #catsofmastodon #Kahneman #thinkingfastandslow

A gray cat is sitting on a shelf next to a copy of "Thinking Fast and Slow" by Kahneman. She has a light orange stripe like marking, vertical between her eyes. Her paws are out in front of her and she is gazing intently straight ahead. Her eyes are a light lime green.
:mastodon: Mike Amundsenmamund
2024-04-18

A Tribute to Daniel Kahneman: Three Things I Learned from Danny

linkedin.com/pulse/tribute-dan

"I was reflecting on Danny's passing yesterday and thinking about what I learned from the opportunity to interact closely with him. Obviously, his research has influenced many, many people. But here are three personal observations you may appreciate." --

broVbro 🇺🇲broVbro@toot.community
2024-03-29

My takeaway from the Daniel #Kahneman book #thinkingfastandslow is this - while people can choose to be #rational or #irrational, our brains are hardwired to sometimes be irrational. #CriticalThinking

alpha-o 💚🇪🇺🇺🇦alphao@mastodon.world
2024-03-28

Daniel Kahnemann died, aged 90…. I especially liked his book „Thinking fast and slow“ #Kahneman #thinkingfastandslow

bbc.com/news/world-us-canada-6

Flipboard Culture DeskCultureDesk@flipboard.social
2024-03-27

Daniel Kahneman, the Nobel Prize-winning psychologist and author of "Thinking Fast and Slow," died today at age 90. Here's a tribute to him from NPR. "Danny was a giant in the field," said Eldar Shafir, a professor at Princeton. "Many areas in the social sciences simply have not been the same since he arrived on the scene."

flip.it/cymi.b

#RIP #InMemoriam #ThinkingFastAndSlow #Psychology #Economics

2024-03-27

Recently, I have enjoy reading the books published by Daniel Kahneman.

It's sad to have a great man left in our realm.

Rest In Peace

bloomberg.com/news/articles/20

#DanielKahneman #Rest_in_Peace #ThinkingFastAndSlow #Noise

Not🐧A🐧Convicted🐧Felonsleepyfox@hachyderm.io
2024-03-17

@coffeegeek An instant message gets an instant answer, but usually no more than a short sentence, at best.
You're never going to get more than a 'yes', 'no', 'I don't know', or 'have you asked Jeeves?', it's a constraint of the medium.
Thoughtfulness is discouraged, response on IM is a system 1 activity.
#WorkingAsDesigned #ThinkingFastAndSlow

我鳗鱼 :unagi_sway: 也是一只自由泳的小鸟unagi@rhabarberbarbara.bar
2023-10-17

在读《Thinking, Fast and Slow》 :star_solid: :star_solid: :star_solid: :star_empty: :star_empty:
neodb.social/book/7HQXJ3S2Nfk1
不愧是诺贝尔经济学奖获得者,写文章跟掉钱眼里了一样,每一章都在问你一些类似选 90% 概率拿 1000 刀还是 100% 概率拿 900 刀之类的问题。我跟着做了几道,几乎每次都跟 great majority 选的不一样,几遍之后就没耐心读题了,因为我真的对钱没有那么大的兴趣!虽然作者有解释为什么用 simple gamble model 但读起来还是无聊透顶。
书开头几节印象还可以,我还做了点笔记的,越到后面越无聊,重复啰嗦而且很自大。讲话的角度经常让我感到完全不是一个世界的人,比如“开公司失败的概率总是远远超过人们预计,如果知道了失败率之后你还会选择开公司吗。”呃呃呃所以你们做事的唯一目的就是成功吗?还有讲到 hostile to algorithm 之类的,拜托,那是因为不信任 machinery 吗?那是因为 algorithm 也是人写的啊!我怎么能确信写 algorithm 的人有考虑到我认为重要的因素/有随着现代价值更新呢?
#ThinkingFastAndSlow #读书

Mikko Lehtovirtadrml@mastodontti.fi
2023-07-26

@hiljaisuus Ihmiset ovat siinä mielessä ihan tavallisia eläimiä että teemme aina sitä mikä on helppoa ja mukavaa. Kyllä #DanielKahneman’in #thinkingfastandslow -kirjan perusajatus pitää.

2023-07-22

You don’t know how many posts & replies I write and then delete. 😂😅

#ThinkingFastAndSlow

Christian Bertelsen (He/him)propergandist
2023-07-02

Good leaders are adept at thinking both fast & slow

我鳗鱼 :unagi_sway: 也是一只自由泳的小鸟unagi@rhabarberbarbara.bar
2022-12-26

在读 #ThinkingFastAndSlow,读到 10%,感觉跟我之前读的 #HowEmotionsAreMade#TheWillpowerInstinct 重叠还蛮多的。
#读书

Tim Y.C 🌐🌍clsytim@techhub.social
2022-12-25

Several things you realize about billionaires/super wealthy after reading Thinking Fast & Slow - and are themes in #TheGlassOnion.
1) Many ultra rich are extraordinarily lucky, and their contributions would have likely come about due to natural progress.
2) Many sycophants and ultra rich themselves are often plagued by survivor bias and don't realize the insanely small odds of (1)
3) Because of (1) and (2) many of them are actually incredibly ignorant and attribute their success to natural talents. This often leads to them majorly fucking up when moving to any problem out of their domain. Not every musician is a historian. Not every business man is a politician. Not every engineer, is a software engineer
#billionaires #tech #Politics #thinkingfastandslow #statistics

Shiwali Mohan | शिवाली मोहनshiwali@sigmoid.social
2022-11-17

This weekend will be exciting! John E. Laird (laird.engin.umich.edu/), Yoshua Bengio (yoshuabengio.org/) and @garymarcus are speaking at #AAAI #FSS 2022 on Thinking Fast and Slow - sites.google.com/view/aaai-fss.

Laird and Bengio represent the cognitive-symbolic and statistical-sub-symbolic views respectively. Both have architectures that implement some form of 'fast and slow'. @garymarcus ofcourse is the chief cynic :)

#AI #ML #ThinkingFastAndSlow #CognitiveArchitecture #NeuroSymbolic

乌克兰仍在人间PigeonAdultman@douchi.space
2020-12-15

“样本越大,估算结果越准确”

“小样本比大样本更容易产生极端结果”

第一句话算是一个没有任何异议,任何人都会不假思索赞同的常识表述了吧。然而看到第二句时候,还是会忍不住停下来思考一会儿。其实道理也很容易想明白,一个箱子里放着同样数量得红球和白球,A每次随机取出4个球记录颜色,B每次随机取出7个球记录颜色,只要时间够长,A拿到同样颜色球的次数就一定比B拿到同样颜色球的次数多。用这个例子来说明就很容易理解第二个表述了吧。

一项研究对美国肾癌发病率进行调查,调查显示,人口稀少的、共和党地盘的乡村发病率最低。你会如何解释这个现象?很多人直觉就会是:乡村空气更好、污染更少、致癌物更少、生活压力较小,因此致癌率低。而现在,假设发病率坐高的县,也是人口稀少的、共和党地盘,大家又会如何解释呢?也很容易:乡村医疗条件差,三高饮食,养生意识差,大家嗜烟嗜酒,自然致癌率高。
那么问题来了,怎么人口稀少,既可以成为发病率低又可以成为发病率高的理由呢?

这时候我们就可以回顾下上文的样本大小的规律,用这个统计学原理解释这个现象。尽管我以为我已经融会贯通了“大样本比小样本准确”这个常识,但是在实际应用时,我还是很难用它联想、解释观察的现象,甚至在上文中的第二个表述我都得思考一会儿才明白。

我觉得这就是很多人学习时候遇到的问题,我们以为我们已经彻底了解了某个原理,但是直到你遇到某个问题之前,你永远不知道你究竟掌握了多少。如果你不知道你不知道,你要怎么知道呢。

#til
#读书笔记
#thinkingfastandslow

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