The travesty of diffusion theory is not that it has displaced overlay theory and source analysis, but that it has been allowed to fertilize a generation of academics and practitioners who liken its inventor and enthusiastic promoter, Suds Beamershiff, to an Einstein of crowd size analytics. Arch and preternaturally adroit in conversation, Beams (as his grad students and lovers call him) turned the narrow and strenuously academic discipline into a distinct ring in the big top (or lower circle, some might say) of contemporary politics with his recent smattering of talk news appearances where he would shake his warm chaos of bangs gelled up above his blond eyebrows as he raised his left index finger to make and hold a point. The camera was as fascinated as the public was and he found himself quickly voted onto the editorial board of Crowd Demography, Science and Philosophy, the preeminent publication for both the practitioner and the cognoscenti. There was scant support for diffusion, but there was genuine new enthusiasm for Beams that even infected the old-schoolers drowning in their musty beards and tweeds. The most obvious comparison to Beams’ rapid rise was the sudden global fascination with Australian Rules Breaking that was shattering expectations about dance, art, and even crowd-sizing issues during street performances in Wollongong and Perth. The Kangaroo Punch Up was gaining mindshare and the masses followed.

All of that overshadows Crowd Analytics 2024 (Crownal 2024) even as the National Institute of Standards and Technology (NIST) has started promoting a competition to ascertain the accuracy of all known methods for analysis, a shoot-out of sorts designed to evaluate the different approaches and enable better depths of crowd insights. The locals ride the Metro to Reston Town Center in their light professionals while the visiting crowd of academics in polos and hoodies bounces from restaurant to bar and then downtown for shadow vacations mashed onto the end of the conference.… Read the rest