Posts

Negative voting

It's election year in my country and we'll be choosing our next president through the traditional two-round system . The two major contenders this year have both very high rejection in part of the electorate, and this rejection is usually manifested by supporting the candidate which is most likely to defeat the rejected candidate in the second round. I wish it was possible for voters to manifest their disapproval more directly, through some kind of negative voting schema. For example, if candidate A gets 50 votes for and 30 agains (net 20), Candidate B gets 40 votes for and 10 against (net 30) and candidate C gets 30 votes for and 5 (net 25) against, the second round would be against B and C. Since the second round is a binary option, negative votes count exactly the same as a vote for the opponent, so negative voting wouldn't be necessary. I know that there's an infinite number of potential voting schemas, and not any of them is perfect, but I believe that simplicity i

Weird thing on Spivak's definition of ordered pairs

 In the appendix of the third chapter of Spivak's Calculus, on case 1 of his definition of ordered pairs he admits that (1, 1) = {1} (from the way sets are defined). I don't get it. That is not a pair. What am I missing?

Business News Around the World - Asia Pt 1

Intro My media consumption is too provincial, mostly focused on national publications and major US outlets. I feel like there's a lot of stuff happening outside my view, so I started listing English language news publications around the world to use as references for significant events in the future and maybe following different perspectives on trends. I started with East and Southern Asia due to a mix of the region's share of global economic activity and population and focused on business-oriented publications because I was interested in understanding how different regions(' economic elites) read global developments. I don't know if these papers lead their respective geography, or how meaningful they are, but I tried to get major names from a not too deep Wikipedia reading. Greater China Mainland Caixin Global Hong Kong Interestingly enough, I didn't find on Wikipedia an obvious English-language business oriented publication. I'm sure there is one, or many, but

Shell Cryptorporation, Art Edition

Duplicating a question originally posted in hacker news , in case anyone reading this has an answer: Since NFTs are built to give a share of each future transaction to the original creator, would it be possible to hold an NFT in a smart contract (or coin, or token) that is itself transacted and/or fungible without any control from the author? Like a shell corporation with an artwork the only asset.

Short term learning plan, 2021-01-01 edition

I didn't finish Statistical Rethinking 2ed yet, but that didn't dissuade me from planning the few books I'll be reading next. I'm trying to mix fundamentals, application and some business/management. Of course, many books will belong to more than one category, but my idea for classification is something like "I need this to understand other things", "things that I can use to build things" and "how to execute on the things I'm building". In random order: - Statistical Rethinking 2ed by Richard McElreath (WIP) [Application] - Measure What Matters by John Doerr (WIP) [Business] - This is Marketing by Seth Godin [Business] - Causal Inference, a Primer by Judea Pearl [Application] - Introduction to Linear Algebra 5ed by Gilbert Strang [Fundamentals] - Calculus, by Michael Spivak [Fundamentals] - Seven Sketches in Compositionality [Fundamentals] I expect to finish them all, ankifying throughout, this year. I just won't call it a New Year

Update on Bayesian Survival Analysis

 As it happens, in the same week that I asked for recommendations, Prof. McElreath pointed out in a tweet that his Statistical Rethinking Winter 2019 series has a section on Survival Analysis on Lecture 13. I stopped watching the lectures as soon I as I got my hands on the 2ed of the book, when I had just finished... Lecture 12 :( Link to the moment in the lecture where he covers the subject: Lecture 13 - Survival I also got two related leads in the same tweet thread: -  Tobit models - Censored Data on Stan User's Guide I'll make sure to check it all when I finish the book!

Recommendations for Bayesian Survival Analysis?

I'm currently finishing the magnificent Statistical Rethinking, 2ed by Richard McElreath, and I really wish there was a bayesian survival analysis themed book with the same intuitionist and practical approach for beginners. I know there's a book called Bayesian Survival Analysis by Ibrahim, Chen and Sinha, but from a quick glance in Google books, it doesn't seem as approachable as I'd like