That's a good question. Unfortunately, we don't have any data about the heterogeneity of the user pool. So we have to guess. In the simplified simulation, the a

That's a good question. Unfortunately, we don't have any data about the heterogeneity of the user pool. So we have to guess. In the simplified simulation, the agents have random expectation levels and compare that to the submissions quality. They only upvote if the quality exceeds their expectation. We thought about modeling quality and agent preference with higher dimensional vectors, like in a recommender system. And to see if a user will upvote a specific content, you calculate the dot product. A simplified 1-dimensional user expectation and 1-dimensional quality can be seen as working on the scalars of the dot products itself. There was a Master thesis which did some simulations with high-dimensional vectors and how many dimensions make sense. The result was that it basically doesn't matter. In the end, we have to make a real-world experiment with the HN community to see if it works as expected.