The Deterministic Nature of Probability in Quantum Mechanics

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In summary, probability is a descriptor of uncertain events, such as a coin toss. While there may be inherent uncertainty in certain scientific concepts, such as in quantum mechanics, probabilities are still used to describe and anticipate outcomes. Once an event has occurred, there is no longer uncertainty, and the outcome is determined by existing conditions and forces. Therefore, probability is not a core factor in determining outcomes, but rather a descriptor of uncertainty.
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Descartz2000
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Tossing a single coin is based on a 50/50 probability of landing on heads. It seems obvious that this is the numerical interpretation (the movement towards the 50/50 outcomes (the actual results) will increase when the number of throws increase as well). However, I think the actual potential of each individual toss is accounted for by the available variables and the initial conditions. So, if true, then in principle when a large number of trials are run, the outcomes move closer to a 50/50 probability. But, in an individual trial (1 single toss), there is not a 50/50 probability, as all is based on available variables and initial conditions. So, essentially there is not a 50/50 probability of the very next coin toss, rather there is a 100% dictation from existing conditions of the coin resulting in heads or tails, as each outcome is not based on any prior coin tosses. So, 50/50 is what we expect to see, and what we will see if there are numerous trials. However, probability does not guide the coin into its final state; existing conditions do. In other words, probability is not a core factor here, it is a descriptor. The core factors here are the conditions and forces that act upon the coin. It can be argued that an existing variable might be 'randomness' and that an outcome is not 100% dictated by existing conditions. But, it seems unless randomness acts as a force, the quantum effects or true randomness will be washed out by the macro scale properties. Since a coin and its processes are continuous then any future action can be determined (maybe in principle, but not in practice as too many variables are at play).
 
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Descartz2000 said:
In other words, probability is not a core factor here, it is a descriptor. The core factors here are the conditions and forces that act upon the coin. It can be argued that an existing variable might be 'randomness' and that an outcome is not 100% dictated by existing conditions. But, it seems unless randomness acts as a force, the quantum effects or true randomness will be washed out by the macro scale properties. Since a coin and its processes are continuous then any future action can be determined (maybe in principle, but not in practice as too many variables are at play).

Probability is a description of a process under uncertainty. Whether that uncertainty is innate or a measure of our ignorance is somewhat irrelevant to the application of probabilistic reasoning. Since, before the fact, a coin toss has an uncertain outcome; a probability is a descriptor of an anticipated event. Once the coin is tossed, there is no uncertainty.

Such important scientific concepts such as entropy and information are are based on probabilities So are the principles of thermodynamics and quantum mechanics (QM). Only in QM is it thought that uncertainty is innate.

EDIT: QM is usually described as deterministic. What's determined are probabilities, not outcomes.
 
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1. How can a coin toss be 100% determined?

A coin toss can be 100% determined by controlling the initial conditions of the toss, such as the force and angle at which the coin is flipped, and the surface it lands on. These factors can greatly influence the outcome of the toss and make it possible to predict with a high degree of accuracy.

2. Is it possible to always get the same result when flipping a coin?

Yes, it is possible to get the same result when flipping a coin if the initial conditions and external factors are kept constant. However, in real-world scenarios, it is difficult to replicate the exact same conditions, making it unlikely to get the same result every time.

3. What is the role of probability in a 100% determined coin toss?

Probability plays a crucial role in determining the outcome of a coin toss. While the initial conditions may be controlled, there is still a small chance for external factors to influence the toss and alter the expected outcome. Probability helps to quantify this uncertainty and determine the likelihood of a specific result.

4. Can a coin toss be manipulated to always land on a specific side?

In theory, yes, a coin toss can be manipulated to always land on a specific side by carefully controlling the initial conditions and external factors. However, in practice, it is nearly impossible to achieve this level of precision and consistency.

5. How is the concept of determinism related to a 100% determined coin toss?

The concept of determinism states that all events, including the outcome of a coin toss, are determined by prior causes and cannot be changed. In the case of a 100% determined coin toss, the outcome is determined by the initial conditions and external factors, rather than chance or randomness.

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