I am assembling honest distribution experiments: teardown posts, public benchmarks, office hours, and useful replies in existing communities. What else belongs on the list, and how do we avoid manufactured social proof?

Describe the experiment before running it: audience, value offered, success signal, and stop condition. That makes it obvious when a campaign is learning versus merely generating noise.