Developer warns against drawing conclusions from tiny datasets after misreading own site stats

A developer writing on DEV Community reflected on three analytical mistakes made after just two weeks of running a personal website with minimal traffic data. He mistakenly treated comments from a single reader as evidence of broader audience preference, and used an undercounted page-view figure — caused by missing analytics tags — to explain another metric. He also nearly rewrote eight article titles based on search impression data that predated his pages even being indexed, meaning his actual sample size was zero. The author identified a common thread: in each case, he described sparse evidence as more conclusive than it actually was. He now advocates writing down both what a number supports and what it does not, and distinguishing between having very little data versus having none at all.