Here’s the thing: a p-value is not a magic wand. A low p-value doesn’t mean your finding is important—it just means it’s probably not random. It’s like finding a $5 bill on the sidewalk: cool, but it won’t pay your rent. Always ask yourself: “Is this effect big enough to matter?”
Also, never calculate a p-value on tiny data sets (like three data points). Excel will give you a number, but it’s basically a lie. It’s like asking a toddler for stock advice—technically free, but probably not helpful. Aim for at least 10–15 data points per group to keep things respectable.
Remember: p-values are tools, not trophies. Use them to guide your thinking, not to blind you with false confidence. And if someone tells you their p-value is exactly 0.05, just smile and nod—trust me, it’s never exactly 0.05.
