Going the same way as many other non-profits (like colleges and universities), which pursue for-profit incentives while building bloat. After all, what could go wrong with spending $50 million to build out marketing that can increase revenue by $55 million?
Encouraging students to take coding classes is great, but maybe not at the expense of expanding horizons and knowledge of other cultures around the world. Learning a foreign language conveys many benefits beyond just the language itself.
Gifted students will always have AOPS, which my daughter has been doing since 5th grade. Legislating math deceleration is an attempt to fix the symptom (math inequity) but not the cause (likely cultural attitudes and societal expectations).
Legislators should watch the movie "Stand and Deliver".
Nowadays RL and Gaussian processes are very popular on the trading side, as is applying attention-based NLP techniques for pattern recognition. If you are interested in stochastic calculus and convex strategies, John Hull's "Options, Futures and Other Derivatives" is a classic read. Another good book is Marcos Lopez de Prado's "Advances in Financial Machine Learning."
Don’t waste your time or money on a CFA, unless you want a slow buy-side job or aim to become a financial advisor. The curriculum is out-of-date and in some parts wrong. It’s also missing the ‘tech’ in fin-tech. You are better off self-studying quantitative finance or learn about payments (stay away from asset allocation as this eventually leads to a high paying sales job as head of asset allocation).
On the ham radio side, Winlink 2000 is a mesh radio network that allows email transmission over radio frequencies. It runs parallel to the internet with nodes that interconnect the two networks. You do not need to be a ham radio operator to use the Winlink system - only if you intend to stand up a node with transmission capability. For more info see https://winlink.org
Validaton of hypotheses by data should consider the explanatory power of variables and possible presence of confounders. Does the distribution of inSPIRE citations reflect the lack of women in HEP, or does the lack of women in HEP result in the distribution of inSPIRE citations due to other confounders? What is the R^2 of the gender-equality-paradox line? Given that citations accumulate over 20-30 years, and the prevalence of men in HEP in the past, is it statistically significant to use gender citation ratios? Experimental research is often authored by the entire lab team, and a gender imbalance in the lab could account for greater gender disparity w.r.t. individuals with significant citation counts. Just saying, proper (data) science should validate a hypothesis and include a discussion of potential confounders and limitations in the data.
Brings to mind the quote: "He failed in business in '31. He was defeated for state legislator in '32. He tried another business in '33. It failed. His fiancee died in '35. He had a nervous breakdown in '36. In '43 he ran for congress and was defeated. He tried again in '48 and was defeated again. He tried running for the Senate in '55. He lost. The next year he ran for Vice President and lost. In '59 he ran for the Senate again and was defeated. In 1860, the man who signed his name A. Lincoln, was elected the 16th President of the United States."
Someone can easily spoof the name guard0g. We don't require everyone in the world to have a different name, but instead use context to disambiguate identities. Can't we do that online?
I cancelled, but only because I want an extended battery version with autopilot. I'm sure others cancelled their orders for the base version to speed up delivery.
Given voter turnout rates around 50% for presidential elections and even lower for House and Senate votes, getting the vote out is an old-fashioned but still viable strategy without resorting to ranked choice.
I doubt voters are sufficiently aware or engaged in most issues to make ranked choice effective.