Disproving vs Proving: Certainty of Results

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SUMMARY

The discussion centers on the philosophical and practical differences between disproving and proving concepts in mathematics and science. It establishes that disproving a statement is often simpler due to the ability to find counterexamples, particularly in mathematics. In scientific contexts, the discussion emphasizes that no single experiment can definitively prove a theory; rather, a theory gains acceptance through repeated verifiable experiments. The 'swan experiment' is referenced as an example illustrating the challenges of establishing certainty in scientific claims.

PREREQUISITES
  • Understanding of mathematical proof techniques, particularly counterexamples.
  • Familiarity with the scientific method and theory validation.
  • Basic knowledge of statistics and experimental design.
  • Awareness of philosophical concepts regarding certainty and truth in science.
NEXT STEPS
  • Research the concept of counterexamples in mathematical proofs.
  • Study the scientific method and the criteria for theory acceptance.
  • Explore statistical methods for validating experimental results.
  • Investigate the implications of the 'swan experiment' in the context of falsifiability.
USEFUL FOR

Philosophers, mathematicians, scientists, and students interested in the foundations of proof and the nature of scientific inquiry.

15123
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Whyis it easier to disprove something than to prove something?

Why can you have more certainty of something being untrue?
Why is it hard to say something is true if the experiment's result yields it being true? Why is it a 'big maybe'?
 
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15123 said:
Whyis it easier to disprove something than to prove something?

Why can you have more certainty of something being untrue?
Why is it hard to say something is true if the experiment's result yields it being true? Why is it a 'big maybe'?

Are you asking a math question or a science question?

In math finding a counterexample is the easiest way to disprove something.

In science you can never "prove" anything. If the idea leads to many verifiable experiments then it could be an acceptable theory. One experiment may not be enough.
 
It is a statistics question. I followed the example of the 'swan experiment'.
 
15123 said:
It is a statistics question. I followed the example of the 'swan experiment'.
I am not familiar with the swan experiment. Does it have anything to do with black swans?
 
Direction of Entropy

The direction of entropy: it is easier to destroy than create
 

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