Enough traffic.

Isn’t the biggest problem with A/B testing that very few web sites even have enough traffic to properly measure statistical differences.

Essentially making A/B testing for 99.9% of websites useless.

This is causing me some issues today!

We actually have a sidenote that mentions that GA can be used for event-based tracking, but we've decided to skip over it in v1 of the guide because it's missing some critical analytics functionality. We're focused on the big three event-based analytics tools for now, but are going to add more info on tools that can be used for event-based analytics, but aren't primarily designed for that purpose, e.g. Pendo, GA, etc.

In the early 80s, when I was 5 or 6, I got Basic for Beginners and Programming Tricks and Skills (along with a couple of other Usborne books which were about video games) from my local K-Mart in rural Australia.

These books kicked off my love affair with programming, and like many of you I was writing out code without even owning a computer! I remember trying to make a computer out of cardboard and graph paper, and was disappointed that it didn't work. The fact that I could comprehend a for loop before the laws of electricity is kind of trippy.

Anyway, these books were my introduction to a lifelong love affair with programming, and I owe my entire career to them.

At the risk of sounding like a greybeard, things were very different then. If you grew up in the Internet age, it may be difficult to grok that there was a time when information was scarce, and that just carrying around books like these gave you immense understanding and potential.