Why there is never absolutely accordance between good theory and experiment result?

In summary, even with perfect theories like quantum theory, there will always be a discrepancy between theoretical predictions and experimental results due to the limitations of our experimental instruments. We must smooth the data to account for statistical and systematic errors, but this does not change the actual data. The goal of science is not to change data to fit our hypothesis, but rather to design experiments that minimize the impact of known unknowns.
  • #1
ndung200790
519
0
Please teach me this:
Despite perfect theories(e.g quantum theory) we never have a absolutely fitted between theoretical and experiment results.Why is it?So it seem that we are hopeless to wait a ''absolutely'' perfect theory?
Thank you in advance.
 
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  • #2


And we must to smooth the experiment data to accord with the theory,then I think is it the theory were not perfect?
 
  • #3


Blame it on the experimentalists! :tongue:

Even if we had an absolutely perfect theory which predicted all physical phenomena with infinite precision, our experimental instruments would still presumably have only finite precision, and would be subject to all kinds of statistical and systematical errors, so you'd still have plenty of experiments.
 
  • #4


But I would like to say about the difference between the theory and experiment that greater than error limit in experiment.But after we ''smooth'' the data it fits with the theory.
 
  • #5


ndung200790 said:
But after we ''smooth'' the data it fits with the theory.

Sounds like taking into account systematic and statistical errors. We don't change data (well I hope not), just so it appears we're validating a prediction.
 
  • #6


ndung200790 said:
But I would like to say about the difference between the theory and experiment that greater than error limit in experiment.But after we ''smooth'' the data it fits with the theory.
Can you give an example for this?

I don't know what you mean by "smooth". Experimental challenges often require some sort of fancy analysis stuff to get results, but you don't modify the data. You just care about experimental issues.

A difference between theory and experiment which is too large to be explained by experimental errors would have a massive impact on physics (think about the OPERA experiment).
 
  • #7


The goal of science is to change our data to fit our hypothesis... wait, that doesn't sound quite right... Is your issue simply that with experiments come experimental error and only after errors analysis and lines of best fit do we recover the desired agreement with theory? There's nothing sinister about averaging or random error.
 
  • #8


ndung200790 said:
But I would like to say about the difference between the theory and experiment that greater than error limit in experiment.But after we ''smooth'' the data it fits with the theory.

This really depends on the experiment. There are plenty of experiments where the theory agrees extremely well even with the "raw" data.
However, when we model real experiments there are usually (but again not always) phenomena we can not model very well; either because it is simply too diffucult (and would e.g. require a lot of numerical simulations) or because we do not know the values for the relevant parameters.
Also, real measurement setups are always a compromise, even if you have good, well-calibrated instruments you still have to deal with things like noise and drift.

The trick is simply to try to design your experiments in such a way tha these known unknowns play as little roll as possible.
 

1. Why do experimental results sometimes deviate from theoretical predictions?

There are several reasons why experimental results may not perfectly align with theoretical predictions. One possibility is that the assumptions and simplifications made in the theoretical model do not fully capture the complexity of the real-world system. Additionally, experimental error and uncertainties in measurement can also contribute to discrepancies between theory and results.

2. Can experimental design affect the outcome of a study?

Yes, the way an experiment is designed and executed can significantly impact the results. Factors such as sample size, control groups, and the choice of measurement methods can all influence the outcome of a study. It is important for researchers to carefully consider and control these variables to minimize potential biases and ensure the validity of their results.

3. Are there any instances where theory and experiment perfectly align?

Yes, there are some cases where theoretical predictions and experimental results match perfectly. This often occurs when the system under study is relatively simple and well-understood, and when the experimental methods are highly precise and accurate. However, it is more common for there to be some degree of discrepancy between theory and experiment, which can actually lead to further scientific inquiry and advancements.

4. How can discrepancies between theory and experiment be beneficial for scientific progress?

Discrepancies between theory and experiment can actually drive scientific progress by highlighting areas where our current understanding is incomplete or incorrect. When experimental results do not align with theoretical predictions, it can inspire scientists to develop new theories or revise existing ones. This process of refining and updating our understanding of the world is crucial for scientific advancement.

5. Can discrepancies between theory and experiment ever be completely eliminated?

It is unlikely that discrepancies between theory and experiment will ever be completely eliminated. As our understanding of the world and our measurement techniques continue to improve, we may be able to reduce the margin of error and increase the accuracy of our predictions. However, there will always be unknown factors and complexities in natural systems that can make it difficult to achieve absolute accordance between theory and experiment.

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