axplusb
Joined 11 years ago
Joined 11 years ago
Permutation City by Greg Egan
Ubik by Philip K. Dick
Basically Pearl argues that classical statistics completely ignored the concept of causality so far and introduces a complete framework to bring causal inference into statistical/data analysis. The framework is based on graphs and asks for causal hypotheses (like econometricians would do with instrumental variables) and allows to compute/quantify causal effects.
Anyone working with data should probably read this book. The fact that Pearl brought in a professional math/science writer as co-author is a huge boost to the main ideas accessibility and make for a nice albeit deep summer read.
Edit: Actual Wikipedia entry = https://en.wikipedia.org/wiki/Insensitivity_to_sample_size
- scientific knowledge is embedded in some intellectual ether made of underlying hypotheses often not explicitly stated called paradigms
- paradigms follow a Darwinian evolutionary process, i.e. better paradigms evolve out of not-so-good previous paradigms
- paradigm replacements start with an epistemological crisis , i.e. facts that the current paradigms don't explain well enough.
Hope it helps !
Some things that are at stake on the lawyers side are their competence (can they actually make sure the contract is "secure" ?), their reputation (track record of competence established over time) and some insurance mechanism (if things go wrong can you get something back from their insurance).
All of the above seem to be missing in the case of "smart-contracts".
With this price for debt, IBM could be cash-flow positive on this deal within a couple of years even without any big synergy, just by the simple effect of cumulated growth on (net) income.
[0] https://www.macrotrends.net/stocks/charts/RHT/red-hat/net-in...