Hello,
Thanks for the question! In a random forest, individual trees are trained at the same time (parallelly), not one after another. If one tree makes a mistake, it will affect the whole ensemble because new trees do not correct or minimize the error created by that tree.

I hope this will be helpful for you. If you have any further questions regarding this, please let me know.

Regards,
Rukshan.