Hidden variables & partial correlations

In summary, if Bell's inequalities were not violated by experiment, we would have to consider alternative explanations for the varying correlations at different angular separations, such as hidden variables. However, these explanations are not fully understood and do not fully account for all the results and predictions of quantum mechanics. This highlights the significance of Bell's theorem and the need for further research in this area.
  • #1
gabeeisenstei
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I recently understood Bell’s theorem (the inequality and the QM calculation), with the help of you guys. But something still bothers me: assuming for the moment that Bell’s inequalities were NOT violated by experiment, how we would we understand the dependence of the varying correlations on the angular separation between axes of measurement? How would the hidden variables produce non-correlation at 90 degrees and 50% correlation at 45 degrees?

In the QM framework, we just say that the operators for orthogonal measurements don’t commute, and we accept the cosine formula. But what do we say about the hidden variable model? Doesn’t the noncorrelation at 90 degrees already demand something like the “noncommuting operators” explanation?
 
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  • #2


First of all, congratulations on understanding Bell's theorem and the QM calculation! It can be a complex and challenging concept, so it's great that you were able to grasp it with the help of others.

To address your question, if Bell's inequalities were not violated by experiment, then we would have to consider alternative explanations for the varying correlations at different angular separations. One possibility is that there are hidden variables at play, as you mentioned. These hidden variables could potentially explain the non-correlation at 90 degrees and the 50% correlation at 45 degrees.

However, it's important to note that there is no agreed-upon hidden variable theory that can fully account for all the results and predictions of quantum mechanics. In fact, Bell's theorem was specifically designed to rule out certain types of hidden variable theories. So while the noncorrelation at 90 degrees may suggest the need for something like the "noncommuting operators" explanation, it's not as simple as that. The noncommuting operators in quantum mechanics are a fundamental aspect of the theory, while in hidden variable theories they are a result of underlying, unknown mechanisms.

In the end, the varying correlations at different angles of measurement are still not fully understood, and this is one of the reasons why Bell's theorem and the experiments that violate it are so significant. They show that there is something fundamentally different about the way the world works at the quantum level, and it cannot be explained by classical physics or hidden variables alone. Ultimately, further research and experimentation will continue to shed light on this fascinating and complex topic.
 

1. What are hidden variables in the context of scientific research?

Hidden variables refer to factors that may influence the relationship between two or more variables, but are not directly measured or accounted for in a study. These variables can impact the results of a study and are often unknown or unaccounted for by researchers.

2. How do hidden variables affect the interpretation of correlations?

Hidden variables can affect the interpretation of correlations by creating a false relationship between variables or by masking a true relationship. This can result in misleading conclusions and incorrect assumptions about the strength and direction of the relationship between variables.

3. What is a partial correlation and how is it different from a regular correlation?

A partial correlation is a statistical measure that examines the relationship between two variables while controlling for the influence of one or more other variables. It essentially measures the unique association between two variables, independent of any other factors. This differs from a regular correlation, which measures the overall relationship between two variables without controlling for any other factors.

4. When should researchers use partial correlations instead of regular correlations?

Researchers should use partial correlations when they want to isolate the unique relationship between two variables, independent of any other factors. This is particularly useful when there are confounding variables present that may be influencing the relationship between the variables of interest.

5. Can partial correlations be used to establish causality?

No, partial correlations cannot be used to establish causality. While they can help identify potential relationships between variables, they cannot determine the direction or cause of the relationship. Additional research and experimental designs are necessary to establish causality.

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