Logical error slogan

First of all, I want to explain that when I was in junior high school, there was only one course in politics, and politics mainly focused on productivity and relations of production, so there was no so-called political thought discipline, so I didn't know what the political thought in middle school was, so I explained it from the perspective of philosophy and logic, hoping that the analysis would help you, and then you could use what you learned to sit in the right position.

This sentence is undoubtedly wrong, or unscientific.

(1) If this sentence is changed to "never too old to learn" or a little vulgar, "as long as you don't learn to die, you must learn to die" may also make people feel very sympathetic. However, learning from death and learning from death are two completely different realms. The so-called "learning from death" represents a concept of time, that is, we should remember lifelong learning and give ourselves a qualitative new promotion. This kind of learning is interesting, or related to the improvement of personal quality; Learning from death is different. It often corresponds to a kind of exam-oriented education, especially when we are faced with bugs such as senior high school entrance examination and college entrance examination, that is, in a special period, regardless of people's physiological characteristics, we blindly learn from death to increase the so-called exam scores by extending the time. This kind of learning state is not very good, or it is a kind of morbid state, which can not reach the realm of "learning from death", because "learning from death" can only maintain one kind.

(2) Therefore, this involves some questions about learning interest, or exam-oriented education and quality education, or the degree and efficiency of individual learning efforts. It depends on whether these points can be related to your textbook knowledge. I think so many divergent ideas should always conform to the contents of the book. Ha ha, in fact, the unscientific point of "death learning" is really expounded, as long as you compare it with the difference of "death learning" mentioned in the first point above.

It's definitely not a standard answer, but I hope it can inspire you ~