I didn't downvote you, but this isn't a problem with computers. It's a problem with the (mis)use of floats. Floats are not decimals. That's unfortunately a rea

I didn't downvote you, but this isn't a problem with computers. It's a problem with the (mis)use of floats. Floats are not decimals. That's unfortunately a really, really common misconception, owing in part to poor education. Developers reach for floats to represent decimals without thinking about the precision ramifications. When you're working with decimals that don't need a lot of precision this doesn't generally come up (and naturally, those are the numbers typically used in textbooks). But when you start doing floating point arithmetic with decimals that require significant precision, things get bizarre very fast. Unfortunately if a developer isn't expecting it, that's likely to happen in production processing code at a very inopportune time. But the computer is just doing what it's told - we have the tools to support safe and precise arithmetic with decimals that need it. It's a matter of knowing how and when to use floating point.