Discussion Overview
The discussion revolves around the concept of "truly random" phenomena, exploring examples and definitions of randomness outside of quantum physics. Participants debate the nature of randomness, its implications in physics, and whether certain processes can be considered truly random or merely unpredictable.
Discussion Character
- Debate/contested
- Conceptual clarification
- Exploratory
Main Points Raised
- Some participants argue that if all data about a phenomenon were known, it could theoretically be predicted, questioning the existence of truly random phenomena outside quantum mechanics.
- Others suggest that radioactive decay might be an example of randomness, although it is debated whether this falls under quantum phenomena.
- A participant raises the idea of deterministic chaos, questioning if unpredictability in chaotic systems could be considered true randomness.
- There is a discussion about the origins of probability and randomness in gambling, with some asserting that true randomness requires outcomes that are unpredictable even to the most knowledgeable observers.
- One participant claims that randomness is a mathematical concept and suggests that the discussion may not lead to useful conclusions.
- Another proposes a method involving Johnson white noise sources to generate unpredictable bits, emphasizing the challenges of achieving true randomness in computing.
- Concerns are raised about the practical implications of randomness in physics and whether certain processes can be deemed random or merely random enough for practical purposes.
Areas of Agreement / Disagreement
Participants express multiple competing views on the definition and existence of truly random phenomena, with no consensus reached on what constitutes true randomness outside quantum mechanics.
Contextual Notes
Participants acknowledge the complexity of defining randomness, with discussions highlighting the dependence on interpretations of determinism, chaos, and the role of quantum mechanics. The limitations of practical examples and the implications of manipulation in experiments are also noted.