TL;DR Click a bookmark → paste four numbers → instantly know whether two conversion rates are meaningfully different.
No tools. No spreadsheets. No dashboards. Just your browser.
Why? Have you ever been in a meeting, a Slack thread, or staring at an A/B test dashboard and thought:
“2.3% vs. 2.7% — is that actually meaningful, or just noise?”
Well then this bookmarklet is for you! Other recipients include but are not limited to…
Einleitung und Fragestellung In den letzten Jahren2 konnten in diversen Ländern der Aufstieg populistischer Phänomene beobachtet werden: der Aufstieg der AfD in Deutschland, die seit ihrer Gründung binnen 5 Jahren in sämtlichen deutschen Landtagen, dem Bundestag und dem europäischen Parlament vertreten ist; der Wahlsieg Donald J. Trumps in den USA; der Aufstieg der Lega in Italien und viele weitere Beispiele. Ein Verlaufsmuster, das bei jedem einzelnen dieser Aufstiege in der Öffentlichkeit auftritt ist das folgende Ping-Pong-Spiel zwischen Medien und Umfragewerten: Je größer die gesellschaftliche Bekanntheit, desto größer das Medienecho, desto größer die Bekanntheit, etc.
Great news: a scientific article I have co-authored has been accepted for publication and can now be found online here or via the DOI 10.1016/j.spa.2020.01.011. Yes, my list of publications has been amended 1. This article has been through quite a lengthy review process, and was the main motivation for another one of my blog posts. This post dates to September 2018, yet I only started working on these simulations in the framework of the second round of peer review…
A Standard Problem: Determining Sample Size Recently, I was tasked with a straightforward question: "In an A/B test setting, how many samples do I have to collect in order to obtain significant results?" As ususal in statistics, the answer is not quite as straightforward as the question, and it depends quite a bit on the framework. In this case, the A/B test was supposed to test whether the effect of a treatment on the success rate p had the assumed size e.
I have a personal Google account, complete with gmail, gdrive and everything else. I first opened it up as a sort of spam email for all kinds of logins, but started to it use more and more due to its convenience. I was always slightly worried about the magnitude of data collected by Google on me, yet I never found a way to pinpoint exactly the extent of my slight worrying.
