Experimentation is needed to find the right fit. But which one is the right experiment? When to do A/B and when is it a bad idea? Do you know that the sample size/distribution of any experiment heavily influences the result? Countering the bias in data through this episode. If you like the podcast give a shout-out to Sarosh (@SaroshMohammad) and Tanay(@tanaypratap) on Twitter.