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The issue is that accidental profanity (by allowing the board to correct to that language) does significant harm to their reputation and will genuinely make some meaningful portion of their userbase not use them. Regular touch screen keyboards already use invisible prediction magic to make the typing experience better, and swipe leans harder than that into their text prediction.
It's not as easy as you'd think to train two models to both correct to profanity and completely exclude profanity.
Do you mean, people using keyboards do harm a keyboard vendor's reputation?
Can I ask you a math question?
What is hypocrisy to the power of hypocrisy?
Both.
There are absolutely a meaningful number of people who are strongly opposed to profanity, and are not OK with their phone correcting to it, a much larger number of people who only wish to use profanity in certain contexts, and specific profanities (slurs) that absolutely can do real damage with a single use.
They don't correct away from profanity, but they don't correct to it either. That's a reasonable stance. The reason it doesn't work well with the swipe keyboards is because they're using the "correct" feature every time without biasing to the manual input, because that's the only to get decent results out of a bad input method like swipe.