What do you think the mechanism is on the connection between ads and pageviews? Or the mechanism for the autocorrelation of pageviews? Have you been able connect the dots on something like sharing to sites like HN?
The mechanism that makes the most sense to me is via influence in social media resharing. This requires affecting only a few people (power users/the '1%') but can plausibly deliver the necessary effect size. The logical next step in the analysis would be to go back into Google Analytics and pull out another set of time-series and try to split between search engine, direct, and referrals; the decrease should be concentrated as search engine > Or the mechanism for the autocorrelation of pageviews?
Well, some of the mechanisms there are obvious just from the referring URLs. Many people don't read HN via the front page, they use a third-party interface or a daily newsletter; so while OP is getting substantial traffic today, it'll also get traffic tomorrow from people catching up with today's 'best of HN' etc. And from HN it gets auto-posted to Twiter, and of course many people will only see the tweets later when they log into Twitter the next morning or evening. Then you have timezones - perhaps someone is asleep now even if they do read the HN frontpage directly. It might get included in blogger link roundups or sites like The Browser weeks or months from now - more autocorrelation. What about search engines? They'll notice, and will update. No one has mentioned any comparable experiments so right now my A/B test appears to be _sui generis_, so people debating the costs and benefits of advertising might link it over the next few months. And so on. Lots of possible ways.