That's for sure; the key here is still that the trust is computed from a specific source pubkey. So, if there is a more relevant pubkey in the social graph than the impersonator's, it will rank higher because it will likely have more favorable validators. Definitely, this approach can be improved and strengthened. We could sample distances to a target pubkey from different direct contacts of the source pubkey to get more paths validated. The architecture will allow this thanks to the Nostr social graph lib by nostr:npub1g53mukxnjkcmr94fhryzkqutdz2ukq4ks0gvy5af25rgmwsl4ngq43drvk that we are using.

Thanks for the feedback; it is very appreciated. As we mentioned, this is still an experiment, and we need to keep tweaking it to get more relevant results and metrics.