1 – manufacturing errors are possible
2 – a percentage of people much higher than 2% lie and/or use products in ways they were not intended
3 – numbers like this are built off of estimates that include thousands, if not millions, of test cases. 2% does not really mean 1 out of 50 in every sample size. It means that when they test 10 million of these things about 2% of them failed the quality assurance test likely for reasons stemming from points 1 or 2
Latest Answers