They are probably trying to save GPU power on already hooked users. This is a common trick in Recommendation Systems. You want to spend the most resources / run your most expensive model on users that are just checking out your platform.
A bit like how Poker sites give you better cards in the beginning.
It's less idiotic if you assume the bias goes the other way. People who stick with online poker had better cards in the beginning leading to them early winning and continuing to play. They then experience a reversion to the mean. Those who lose too often too early lose interest and sign off.
They say the worst result to get on your first roulette spin is to hit your number.
Obviously, these are just trends among people. Some gambling addicts never won and skilled poker players won't go on tilt after 20 bad hands.
Eh, it’s bad, but not as bad as the “companies intentionally leak false information to make their upcoming products look unappealing just so the real announcement is a pleasant surprise” 8D chess players.
A bit like how Poker sites give you better cards in the beginning.