Why does scaling a Kafka consumer's Kubernetes Deployment beyond the topic's partition count not improve throughput?

Kafka assigns each partition to exactly one consumer within a consumer group at a time — if you have more pod replicas than partitions, the extra pods simply sit idle with no partitions assigned, since a single partition cannot be split across two consumers in the same group.