The association is not same as causation. I think It would be more useful to derive or at least inference the causation of success/failure from your data.

For example: if someone can't convince other people to join, how could he be able to convince customers/investors later on. This implies causation. I would love to hear more causation like this for the single founder startup.

There are relationships and associations everywhere. If people look at the data between skin color and success, they will find relationship. but it doesn't mean people succeed because of their skin color. The causation is more useful information than the mere association.