Thank you for your comment, but it would be appreciated if you could prove my conclusion is wrong (e.g. either observer B1 or B2 is able to know or predict event C)
Akira Pyinya
Karma: −11
Sorry for the misleading, but I also believe that libertarian free will is not an illusion. I hope I can explain that in the next post on this topic.
(Maybe I should add a “(1)” behind the title?)
You are right, I should use “all initial state on a given spatial hypersurface” instead of “all causes”, but the conclusion is the same: wherever the hypersurface is, no observer is able to know all the initial state on that hypersurface which can affect event A, except when the observer is in the future of A.
The second question, I think that “high accuracy” is only the upper limit of a prediction, which is not that easy to reach. In oder to make high accuracy prediction, you need a large amount of resources for observations and calculations. The amount of resources can be some kind of measurement of my free will. However, if I have access to that resources, I can make myself much more difficult to predict, e.g. some optical or electric camouflage.
Thank you for your comment. Actually I am trying to build a practical and quantitative model of free will instead of just say free will is or is not an illusion, but I can’t find a better way to define free will in a practical way. That’s why I introduce an “observer” which can make prediction.
And I agree with you, claims like “not 100% correctly” are too weak. But possibly we can define some functions like “degree of free will”, representing how much one subject could be predicted or controlled. I’m not sure if this definition resembles the common meaning of “free will”, but it might be somewhat useful.