Wisdom Era
018. Data truth seeking
This is a technique for handling information, traditionally averaging repetitions, we tried to use repetitions as a choice, for we established a principle two rule. This greatly simplifies our workload and ensures the correctness of the data. This requires a change in the method of further data processing, and in, the method of obtaining data in front of it also needs to be changed according to the new aspects of data processing.
PuYiHeTong
1.Data is generated by the system, so it is necessary to understand every detail of this system.
This requirement poses a challenge to traditional scientific research work. But we must do this, otherwise, our scientific research work will always be making fake papers.
2.What should be the correct method of data processing?
Only by studying the data can we know whether the method of collecting materials, the method of storage, the method of processing materials, and the method of research are correct, which are all contained in the system.
3.Such research poses methodological demands on us.
Be skilled in how to propose principles, rules.
The power of classification needs to be solid.
4.The importance of repetition lies in mutual verification and allowing us to make a choice.
Rough averaging is incorrect, correct incorrect = 0.
5. How to judge whether the research method is correct?
The right conclusion should be simple and it should simplify the study.
Data truth-seeking, hard work.
are you tough enough in your research methods?
It is currently impossible to translate "Data Authenticity Research on the Method of Counting Microorganisms on Plates" into English here, but this method is and unique in the world. Simplify it.