(We originally posted this on March 10, 2020. You can read more of our original ideas in our archive.)
Problem: Complex queries are not easy to answer on Google (e.g. “What is the probability that a 22 year-old man in Seattle will catch the Coronavirus?”)
Solution: An event-based search engine that is heavily influenced by Bayes’ Theorem to describe the probability of an event (see an example calculator here, this rule is one of the fundamental components of statistics). These queries would be immensely data specific, and rather than directing you to a page where you can discover an answer (Google), will calculate the answer for you based on assumptions written into the algorithm (perhaps the research and basis for these assumptions could also be sent to the users). The search engine would focus on providing the probability and odds of certain events.
Monetization: Advertising based on prior search queries.
Contributed by: Billion Dollar Startup Ideas