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Why Computers Suck At Math
antdude writes "This TechRadar article explains why computers suck at math, and how simple calculations can be a matter of life and death, like in the case of a Patriot defense system failing to take down a Scud missile attack: 'The calculation of where to look for confirmation of an incoming missile requires knowledge of the system time, which is stored as the number of 0.1-second ticks since the system was started up. Unfortunately, 0.1 seconds cannot be expressed accurately as a binary number, so when it's shoehorned into a 24-bit register — as used in the Patriot system — it's out by a tiny amount. But all these tiny amounts add up. At the time of the missile attack, the system had been running for about 100 hours, or 3,600,000 ticks to be more specific. Multiplying this count by the tiny error led to a total error of 0.3433 seconds, during which time the Scud missile would cover 687m. The radar looked in the wrong place to receive a confirmation and saw no target. Accordingly no missile was launched to intercept the incoming Scud — and 28 people paid with their lives.'"
What Every Computer Scientist Should Know About Floating-Point Arithmetic
This particular story took place in 1991, and most of the code for Patriot was written in the 70s - needless to say, software QA was a little more lax back then. The fix for this problem was out a couple days after the incident.
Fixed point never rounds when operating in the range and precision for which it is designed. In this case they needed a precision of .1, using INT/10 would be 100% accurate and never give them any rounding errors for this use case.
So, in other words: You are wrong, and should probably considering using fixed point more.