Earlier that year a paper appeared arguing that string failed as a "theory of everything" because (at least in present form) it did not lead to a unique solution but instead led to millions of different versions of the universe. To put it simply, Susskind made this a virtue by promoting the idea that there WERE millions of universes but that we live in one of those favorable to life. This made string (technically "M-theory") seem very important because it was not "merely" the theory of our one universe. It was theory covering all those million of universes that were imagined to exist.
But actually this is not a real advantage. A theory must fit the universe we know (once its parameters are adjusted) so we can make predictions about the universe we have here. It needs to have a unique solution.
jshort wrote:I find the statements in bold particularly interesting....It shows we make unproven assumptions about how the universe is governed because those assumptions would allow the universe to lend itself to our scientific analysis. Does anyone find this a little troubling?
jshort wrote:...It shows we make unproven assumptions about how the universe is governed because those assumptions would allow the universe to lend itself to our scientific analysis...
Paralith wrote:jshort wrote:I find the statements in bold particularly interesting....It shows we make unproven assumptions about how the universe is governed because those assumptions would allow the universe to lend itself to our scientific analysis. Does anyone find this a little troubling?
I think you might be misunderstanding what Marshall was saying. All models start with certain assumptions, and an "assumption" by the very definition is not something we already know to be true. But we make assumptions because if we didn't, we couldn't make models at all. Then you take the predictions your model makes about the universe, go out to the universe, and measure those things. If what we observe and what the model says are two different things, then we know the model is wrong. Something somewhere in that model is incorrect. And it may very well be one or more of the starting assumptions. So then we can develop a different model (and really, a model is the exact same thing as a hypothesis), with different assumptions, and test it against the universe again, etc etc. The assumptions themselves are being tested as much as anything else. We don't just make them and then ignore them.
But I see no reason why you should fail to throw out a soundly disproven hypothesis simply because you have not yet contrived an alternative hypothesis.
jshort wrote:But I see no reason why you should fail to throw out a soundly disproven hypothesis simply because you have not yet contrived an alternative hypothesis.
But String theory isn't disproven as far as I know....My understanding is that it has been thrown out because it isn't predictive enough. The predictive law rule says that a theory should be able to make accurate measurable predictions in order to be accepted as a theory.
Lincoln wrote:jshort...
Don't get hung up on the precise definitions of "theory" and "model" and stuff. While they have a specific and well-defined meaning in 8th grade science, the borders become fuzzier later in life. Language is sloppy and this just reflects that.
String theory is, in principle, verifiable. However at this time it is unverified. In the parlance of 8th grade, it's really an uber-hypothesis more than a theory. However, an enormous amount of work has been done on it and it hasn't been definitively killed yet. This is why it's called a theory before its time.
Nobody really believes string theory...even most of the theorists who have been so entranced by the theory's beauty. But neither has it been thrown out. It's just proven to be tough going and people are looking around for ideas that might bear fruit more quickly. Superstrings could be real though.
jshort wrote:But String theory isn't disproven as far as I know....My understanding is that it has been thrown out because it isn't predictive enough. The predictive law rule says that a theory should be able to make accurate measurable predictions in order to be accepted as a theory.
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