Can something be caused and be ontologically random?

In summary, the conversation discusses the concept of ontological probability and its existence in both deterministic and indeterministic theories. The author of the article argues that ontological probability is incoherent and unrelated to the famous saying "God does not play dice with the universe." However, there is debate about whether there is truly nothing that causes the actual result. The conversation also mentions the Heisenberg Uncertainty principle and the notion that this question is more of a philosophical one rather than a physics debate. The provided reference is also deemed invalid.
  • #1
JordanPolla
4
0
Or does ontological probability exist?

I was reading an article that came up in my google searches ( https://breakingthefreewillillusion.com/ontic-probability-doesnt-exist/ ) ignore the free will philosophy stuff.

But the author makes the claim that ontological probability simply does not exist and is incoherent in any formulation, this goes for both deterministic and indeterministic theories or interpretations.

What do you all think of this, besides the obviousness of him being a hack, I'd rather not use ad hominem to discuss his article.
 
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  • #2
This relates to the famous "God does not play dice with the universe".
There is not doubt that the Heisenberg Uncertainty principle limits what can be known about the results of a measurement before that measurement is made.
However, that is not sufficient to assert ontological probability. Whether there is truly nothing that causes the actual result is up for debate. It is a Physics debate only to the extent that a theory that is inconsistent with ontological probability or inconsistent with no ontological probability makes other predictions that can be repeatably tested.
 
  • #3
This question appears to be philosophy, not physics. Also, the reference given is not a valid source.

Thread closed.
 

1. Can something truly be random or is it always caused by something else?

This is a common philosophical question that has been debated for centuries. The answer is not clear-cut, as it depends on one's definition of "randomness." Some argue that everything has a cause and therefore true randomness does not exist. Others believe that there are certain events or phenomena that are truly random and cannot be explained by any underlying cause.

2. How does quantum mechanics play a role in the concept of randomness?

Quantum mechanics, the branch of physics that studies the behavior of particles at a subatomic level, has challenged our understanding of causality and randomness. According to the principles of quantum mechanics, particles can behave in unpredictable ways and their behavior cannot be fully explained by preceding causes. This has led some scientists to believe that true randomness does exist at a quantum level.

3. Can we ever truly know if something is random or caused?

It is difficult to determine if something is truly random or caused, as our understanding of causality and randomness is limited. We can use statistical analysis and mathematical models to make predictions and probabilities, but ultimately, the concept of randomness may be beyond our full understanding.

4. How do scientists study and measure randomness?

There are various methods that scientists use to study and measure randomness, depending on the specific phenomenon being studied. In some cases, they may use statistical analysis to look for patterns and determine the likelihood of certain outcomes. In others, they may use computer simulations or experiments to observe and measure the behavior of particles or systems.

5. Can randomness be beneficial or harmful?

The concept of randomness has both positive and negative implications. On one hand, randomness can lead to diversity and innovation, allowing for new and unexpected outcomes. On the other hand, it can also lead to chaos and unpredictability, which can be harmful in certain situations. The extent to which randomness affects us depends on our perception and interpretation of it.

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