Science students are like CPUs, while humanities students are like storage or GPUs. CPUs: Science students all have computing power, with most falling around medium levels. The number of students with strong or weak computing power is relatively small. Indeed, as Professor CyberPhilos said, science students follow a normal distribution, while humanities students follow a power-law distribution. (Undoubtedly, Professor CyberPhilos is a left-tailed CPU.) Storage: Most humanities students have storage (memory) capabilities. Some are like mechanical hard drives, capable of storing (memorizing) knowledge for long periods; some are like flash memory, capable of storing (memorizing) knowledge quickly; and some are like RAM, capable of quickly memorizing, only to forget it after the exam 😂. GPUs: A small number of humanities students are the long tail. They are not storage-type, but rather parallel computing-type. They don't just memorize; they can thoroughly understand and integrate vast amounts of knowledge, using this foundation to render and create more powerful and impactful content. The Douyin poetry teacher—"Teacher Han Xiao's Poetry Lessons"—is a GPU-type humanities student. He can logically and progressively explain poetry to the reader's psychology, simultaneously gaining both rational acceptance and emotional resonance. Actually, Li Xueqin is somewhat similar to a humanities student with a GPU background. Personally, I feel that @Bitwux and @mscryptojiayi are humanities students with a GPU background, I wonder if I'm right haha. Do you guys think I'm a science or humanities student? And you yourself, what type of CPU? What type of storage? Or perhaps a powerful GPU?

The words "long tail" are missing from the bottom right corner of the image. This is: