tarekatpf said:
Thank you very much. I needed that. I don't like things that are absolutely unpredictable. I mean who wants to live in a world in which everything happens by a 50/50 chance?
Since there are usually more than two ways that something could go, the odds of a particular thing happening would actually be a lot less than 50:50 were everything totally random.
Here - "totally random" would mean a "flat" probability distribution.
It would be like having to roll a million-sided dice each morning to see what the day may bring.
You've noticed that the world does not work like that - so you are puzzled when scientists keep going on about randomness.
I think this is core to your question.
You need to get a feel for probabilities before continuing.
So, I want to know how much can you predict about something?
Like everything in life it depends.
The field of study that answers that question is applied math: probability and statistics.
It is a big field, you need to find books about that to suit your education level.
A good primer, though, is John Allen Paulos'
Innumeracy - which I believe you can still get on Amazon.
Don't be put of the title.
I read somewhere it's possible to predict accurately around 90% of times the motion of an electron. Is that true?
I'm afraid the statement to far too vague to comment on.
Chances are the person you heard it from was just making numbers up.
Richard Feyman regularly stated that the methods of quantum electrodynamics could predict behavior of certain kinds for electrons and photons to something like 10 decimal places of accuracy ... that is a LOT more accurate that 90%.
How much can you predict about something as small as maybe an atom or subatomic particle? Is it different for larger things? What does predictability depend on?
It depends on how much of something you have, and what you need to know.
The position of a baseball only needs to be known well enough to catch it ... it is easy to predict it's position to within the size of a catchers mitt so catchers rarely miss.
You can use your experience of cards and dice to get other examples.
The main take-away lesson here is that probabilties are not all equal.
So does the universe strictly follow the laws of classical mechanics?
The "laws" of classical mechanics are only followed
on average.
The question should really be "
how strictly does the universe strictly follow the laws of classical mechanics?"
The short answer is "very".
Slightly longer: it depends.
We would describe how strictly something sticks close to an average course by telling you the distribution about that course ... but to understand that, you need to learn about probabilities.
I want to understand how the universe has come to such a state.
Lots of us do ... it's a popular obsession.
Nobody does yet though there are a lot of very shrewed ideas of how such a state, may have come about given certain assumptions.
Meantime, the quest for understanding is fascinating.
We know it's just a product of the big bang. Now, in the earliest moments, the universe had no matter. Then came matter and antimatter, but matter slightly more. I suppose all the matter particles were still behaving weirdly then: here and there at the same time. Then how did the universe get a stable form?
You are right - this is a new topic ... start a new thread.
However - I doubt the answers will do you a lot of good while you are still new to how probabilities behave.
If things keep switching between places, how come something as big as a planet or star can form?
Because the places they keep switching between are almost all inside the planet or star ... usually inside an atom.
Is the universe becoming more of less predictable? Does gravity alter predictability of particles?
The answers need you to know something of probability math so you can explain what you mean by "predictable" ... i.e. the entropy law says that the amount of chaos in a closed system increases (or stays the same). If we associate more chaos with less predictability, then, very loosely, this would mean that the Universe cannot get more predictable and is likely getting less. OTOH: that is a prediction that gets more certain over time... is that an increase or a decrease in predictability?
That's a rhetorical question btw.
What I want you to notice is how much of your confusion comes from being imprecise in your language. A lot of learning about science involves learning to be careful with language.
Summary:
1. not all probabilities are equal - you need to read up on probabilities.
2. much confusion is avoided by careful language