If you drop your shoe and a coin side by side, they hit the ground at the same time. Why does not the shoe get there first, since gravity is pulling harder on it? How does the lens of your eye work, and why do your eye’s muscles need to squash its lens into different shapes in order to focus on objects nearby or far away? These are the kinds of questions that physics tries to answer about the behavior of light and matter, the two things that the universe is made of.
Until very recently in history, no progress was made in answering questions like these. Worse than that, the wrong answers written by thinkers like the ancient Greek physicist Aristotle were accepted without question for thousands of years. Why is it that scientific knowledge has progressed more since the Renaissance than it had in all the preceding millennia since the beginning of recorded history? Undoubtedly the industrial revolution is part of the answer. Building its centerpiece, the steam engine, required improved techniques for precise construction and measurement (early on, it was considered a major advance when English machine shops learned to build pistons and cylinders that fit together with a gap narrower than the thickness of a penny). But even before the industrial revolution, the pace of discovery had picked up, mainly because of the introduction of the modern scientific method. Although it evolved over time, most scientists today would agree on something like the following list of the basic principles of the scientific method:
Scientific theories are created to explain the results of experiments that were created under certain conditions. A successful theory will also make new predictions about new experiments under new conditions. Eventually, though, it always seems to happen that a new experiment comes along, showing that under certain conditions the theory is not a good approximation or is not valid at all. The ball is then back in the theorists’ court. If an experiment disagrees with the current theory, the theory has to be changed, not the experiment.
The requirement of predictive power means that a theory is only meaningful if it predicts something that can be checked against experimental measurements the theorist did not already have at hand. That is, a theory should be testable. Explanatory value means that many phenomena should be accounted for with few basic principles. If you answer every “why” question with “because that’s the way it is,” then your theory has no explanatory value. Collecting lots of data without being able to find any basic underlying principles is not science.
An experiment should be treated with suspicion if it only works for one person, or only in one part of the world. Anyone with the necessary skills and equipment should be able to get the same results from the same experiment. This implies that science transcends national and ethnic boundaries; you can be sure that nobody is doing actual science who claims that their work is “Aryan, not Jewish,” “Marxist, not bourgeois,” or “Christian, not atheistic.” An experiment cannot be reproduced if it is secret, so science is necessarily a public enterprise.
As an example of the cycle of theory and experiment, a vital step toward modern chemistry was the experimental observation that the chemical elements could not be transformed into each other, e.g., lead could not be turned into gold. This led to the theory that chemical reactions consisted of rearrangements of the elements in different combinations, without any change in the identities of the elements themselves. The theory worked for hundreds of years, and was confirmed experimentally over a wide range of pressures and temperatures and with many combinations of elements. Only in the twentieth century did we learn that one element could be trans-formed into one another under the conditions of extremely high pressure and temperature existing in a nuclear bomb or inside a star. That observation did not completely invalidate the original theory of the immutability of the elements, but it showed that it was only an approximation, valid at ordinary temperatures and pressures.
The scientific method as described here is an idealization, and should not be understood as a set procedure for doing science. Scientists have as many weaknesses and character flaws as any other group, and it is common for scientists to try to discredit other people’s experiments when the results run contrary to their own favored point of view. Successful science also has more to do with luck, intuition, and creativity than most people realize, and the restrictions of the scientific method do not stifle individuality and self-expression any more than the fugue and sonata forms stifled Bach and Haydn. There is a recent tendency among social scientists to go even further and to deny that the scientific method even exists, claiming that science is no more than an arbitrary social system that determines what ideas to accept based on an in-group’s criteria. I think that is going too far. If science is an arbitrary social ritual, it would seem difficult to explain its effectiveness in building such useful items as airplanes, CD players, and sewers. If alchemy and astrology were no less scientific in their methods than chemistry and astronomy, what was it that kept them from producing anything useful?
Sign up and we’ll send you ebook of 1254 samples like this for free!
- 80+ essay types
- 1000+ essay samples
- Pro writing tips
Related Writing Guides
Writing a Descriptive Essay
What is the scientific method? It is a process used to find answers to questions about the world around us. It begins with a question that comes from observation and is answered through an organized method of conducting and analyzing an experiment. (Mularella, 2007) In this hypothetical example, I would like to explore the answer to the following question: Can K-gro brand fertilizer increase tomato crop yields by up to 50%? First, this question must have originated through observation. I have noticed that my neighbor’s plants are producing much more fruit than mine, and I wondered why. Upon investigating, I discovered that one of the only differences in our gardening techniques is the use of different fertilizers. All other factors are the same. Our soil, weather conditions and daylight do not vary.
Therefore, it is my hypothesis, or educated guess, that it is our fertilizers that are producing the difference in our crops. I predict, or foresee the outcome of my investigation to be that my neighbor’s use of K-gro brand fertilizer results in this abundance of tomatoes that is nearly twice that of my plants. Now for the fun part, I will perform an experiment or test, to either prove or disprove my theory or hypothesis. I will set up three groups of tomato plants. All of them being the same age and brand of tomato. The growing medium and environment for the plants will all be the same. The only difference will be the type of fertilizer used on each group. Group A will receive K-gro brand, group B will receive my normal brand of fertilizer and Group C will not receive any fertilizer. This will be my control group. By keeping all conditions, except for the type of fertilizer, the same I am also creating a controlled environment. Therefore, this will eliminate the possibility of other factor to influence the tomato growth. The next phase of my experiment will be the results. This is the end of my experiment where I determine whether or not my hypothesis is supported. I measure the amount of fruit produced in each group of plants and compare the results among the groups.
This is considered to be analyzing the data. If group A has produced more fruit that Group B and C, than I can say that my hypothesis is supported. That is, if the yield was twice that of the other groups. Otherwise, my original hypothesis will be unsupported. In either case, my end result will be my conclusion. There is no right or wrong answer. If the result is not what I had expected, it still may assist someone else in further studying the effects of this fertilizer. By communicating my results, I may interest others in pursuing these questions which will then lead right back to step one! (w/c 471) Scientific Method – The Seven Step Process to Scientific Investigations, Mularella, Jeremy, August 22, 2007, retrieved from: www.slideshare.net/mrmlarella/scientific-method-95777