How to do it wrong

Generate N random points from measurements, treat them as pseudo-objects (weight 1/N)
Stack posteriors
Mixes uncertainty with intrinsic scatter
Can under-estimate or over-estimate
Also difficult: splitting sample (histograms, Vmax)