Mindsets, social science, national pedagogies, cognitive bias, statistics, legal history, epistemology, knowledge systems and complexity...
This is the lowest rank of popular science, where Wan broadly defines different concepts without congregating them into one topic. Intellectual can not be isolated from its historical writing, and modernity has its own struggles. The author emphasizes on not relying on theories, but seemingly uses theories to support his own arguments. Probably not the most well-structured book on successful theory, but you can read it if time is spared.
Very interesting book, cover a wide range of topics, which are critical to modern life.
One topic is that when AI can take over majority of jobs, what can we do to the people who lose their jobs. The answer is to give free money, so that they can spend on the products and services AI produces and provides. Otherwise, the economy will be halted.
And even for now, to boost economy, spending becomes a virtue. However, I guess wise people would wait for other people to spend, so that they can save :)
A 'book' of book summaries thrown together. Below are some of the concepts discussed at the beginning...
• Broken windows theory/copycat effect - media's tendency to over dramatise crime/events -維穩 • Pluralism vs monism • The unpredictability of information (or any) cascading • Democracy fails precisely because it gives voters what they want, whereas all those dim-wits want are 'narratives' • Author believes that the Free Market will solve all issues (?!)
New to me: Claude Shannon's definition of self-information: (1) an event with probability 100% is perfectly unsurprising and yields no information. (2) The less probable an event is, the more surprising it is and the more information it yields.
Topic modelling: a type of statistical modelling that uses unsupervised Machine Learning to identify clusters or groups of similar words within a body of text.