no, any explanation of a ‘super spreader event’ is making a
post hoc rationalization, arising from the biases of the explainers. thermo-fluid models of such conditions are often similarly biased, but have the additional proof burden of not representing observed phenomena, just assumptions and suppositions about it. it’s just as likely that factory workers having lunch together is the cause of such a ‘super spreader event’. occam’s razor suggests we start with the simplest explanations before considering convolutions like that.
make no mistake, if covid menacingly floating in the air to catch you unaware were actually a meaningful method of spread, we’d have evidence all over the place being reported feverishly by those very same biased reporting sources.