The coronavirus or COVID-19 pandemic is characterised by competing theories premised on layers of disinformation and some truth. Individual experts and analysts are attempting to interpret information and put forward their own hypotheses with varying degrees of certainty. Ego plays a large part and some prognostications are hubristic in the extreme. Of course, many observers too latch on to their own particular preference, particularly as it supports their own world view or narrative.
Today, through the distributed, co-creative learning network that has grown over the last 8 years or so, a new slant on the fake pandemic emerged that is worthy of exploration but with everyone working in compartmentalised silos and motivated under their own set of incentives and penalties, this angle is unlikely to be explored quickly enough to be useful, unless there is a fundamental change in the way we do science (and every other form of academic research and analysis).