Murphy’s Law of Scientific Research.
In order to defend your theory, you can always conduct a sufficient number of studies.
Two types of people dominate the technological process:
1. People who understand that they can not.
2. People who get what they do not understand.
The first law of Gardon.
If research is not worth it, then it makes no sense to do it qualitatively.
The fourth law of correcting.
After a painful and careful analysis of the sample, you suddenly find out that the sample was taken is not the one and has nothing to do with the matter.
The law of accuracy.
If you are working on a solution to a problem, knowing the answer always helps to solve it.
The law of the great problems of Hoare.
There is a small problem in every big problem, which one wants to get free.
No problem is so huge that it can not just be dismissed.
If the facts do not confirm the theory, they must be eliminated.
1. The theory is better than it is more verbose.
2. The experiment can be considered successful if you can drop no more than 50% of the measurements taken to achieve compliance with the theory.
The number of hypotheses that explain this phenomenon is inversely proportional to the volume of knowledge about it.
The law of verification.
No matter how painstakingly and carefully you prepare the sample, you can always be told that it is wrong and unacceptable to this work.
The precision rule.
While working on the solution of the problem, it is always useful to know the correct answer.
The law of Hoare large problems.
There is a small inside of every big task, trying to get out.
The law of Fett’s laboratory.
Never try to repeat a successful experiment.
The laws of Vesilind’s experimentation.
1. If you can not reproduce the experiment, spend it once.
2. If you want to draw a straight line, get it only by two points.
All great discoveries are made by mistake.
If you do not understand a word in the technical text, do not pay attention to it. The text will remain meaningless without it.
Law of Parkinson.
The progress of science is inversely proportional to the number of published scientific journals.
The principle of completeness.
Scientists have gone so far in their heads that they do not see a single phenomenon as a whole, including their own research.
The Law of Mesquimenas.
There is always not enough time to do the work as it should, but the time is there to change it.
The laws of Enon.
1. If the problem has an unknown scale factor, assume that it obeys a power law with an exponent of 0.70.
2. All characteristic numbers in daily life usually have a 25% spread, which only rarely reduces to 10%. The experimental data error is almost always greater than 1%.
3. Any truly useful classification contains three to six categories.
4. Whatever quality we do not want to evaluate, there will always be at least three conflicting criteria for its evaluation.