@Tom33536@histories_arch Unless you make them look like unkempt filth, they don't look "different-enough" from us modern humans.
Pretty sure I saw one of these two at the hardware store last week.
@balloob This is why I'm just beginning to recommend Home Assistant to non-techy friends and those who are time poor. I feel UX + hardware could spur an inflexion point.
@Iwearbear@golfpepe @k_odcy @cyberbrew1@MDTaps@LayahHeilpern Option 2 of course plays out, but at what cost and how feasible is a fix if the funds are conjoined/spent rapidly?
Bitcoin's monoculture of node/software implementations means an inflation bug may not immediately fork the chain, so we're reliant on devs to fix it... Slowly.
@marketsensei I didn't see where experiments affected by SRM were removed - Did you explore this? It would have been interesting to see the rate of SRM errors contributing to FDR. https://t.co/oRD3QXSmrc
How are effects of online A/B tests distributed? How often are they not significant? Does achieving significance guarantee meaningful business impact?
We answer these questions in our new paper, “False Discovery in A/B Testing”, recently out in Management Science >>
@Jimalytics@AnalyticsNinja We managed to get a media company to refund $7k spent on a fraudulent publisher. It was all coming through one or two useragents and IPs. Bring with you 1) solid proof and; 2) the threat of losing future ad spend.