Can someone explain to me why Zwifts ride variability index is still so poorly optimized for real-world application? It seems like the algorithm is still heavily biased towards rewarding riders who can maintain a consistent power output over short intervals, rather than actually simulating the variability of real-world terrain. I mean, who rides in perfect 2-minute intervals in real life? And yet, Zwifts algorithm still seems to prioritize this type of riding over, say, a rider who can adapt to changing terrain and pace themselves accordingly. Is this just a case of Zwift being too focused on catering to the competitive crowd, or is there actually some logical reasoning behind this approach that Im missing? And does anyone know if Zwift has any plans to revamp the ride variability index to make it more representative of real-world riding?