I have quit nearly all questions and resigned from serving as a Pro Forecaster. I'm now devoting my efforts to the research side. For example, what are the characteristics of a question being useful and forecastable, yet nontrivial? How might we most efficiently detect forecasting rationales written by a generative AI? (Hint: Shannon entropy, as suggested by @jrl) Past research, "What do forecasting rationales reveal about thinking patterns of top geopolitical forecasters?" https://www.sciencedirect.com/science/article/abs/pii/S0169207021001473, see also a webinar, https://youtu.be/iXuA2sE0Uzs. Serving as president of BestWorld, https://bestworld.net
