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Machines become uncalibrated and require occasional tooling to keep the production process in spec. It's unavoidable that, when a large number of something is made, there will be some bad ones that make it out before the defect goes noticed. If this weren't the case, there'd be no purpose for an entire branch of statistics known as sampling distributions. They can't test every piece when they make so many, so they test a few (however many the statistician they consult recommends)... and if the few are good enough, the process continues. They don't even check the machinery until a sample comes up bad (it costs money to check it and why check it if you don't suspect a problem), and by that time, some bad pieces have already made it out. Specific to body components, the more a mold is used, the worse it becomes - they have a limited lifespan. So when only a few are produced, they are usually a really good match to the original. If the mold isn't replaced fast enough (and big companies will try to use that mold for as long as possible because it's cheaper to replace a few parts when they come back bad than to replace a mold before it's bad), a lot of poorly fitting parts will be made. So you can disagree all you want... but considering my field is applied statistics, you're simply gonna be wrong. ;)
 I love elitists who aren't really elite in any way... they amuse me greatly. |
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