"Old data, when seen in the light of new ideas, can give us an entirely new insight into a phenomenon; we have an impressive recent example of this in the Bayesian spectrum analysis of nuclear magnetic resonance data, which enables us to make accurate quantitative determinations of phenomena which were not accessible to observation at all with the previously used data analysis by Fourier transforms. When a data set is mutilated (or, to use the common euphemism, ‘filtered’) by processing according to false assumptions, important information in it may be destroyed irreversibly. As some have recognized, this is happening constantly from orthodox methods of detrending or seasonal adjustment in econometrics. However, old data sets, if preserved unmutilated by old assumptions, may have a new lease on life when our prior information advances." - Preface, pg. xxvii, Probability Theory: The Logic of Science (2003) by E.T. Jaynes
Hearing him speak, one may wrongly assume that this man is struggling, but behind the sttutering there is a clear mind that answers varied questions almost instantly. It is clear that this man is very wise.
For an 89 year old, he's doing very well. I had more trouble listening to the Web of Stories video clip of John Wheeler talking about tossing ideas around with friends.
@57:30 seemed to me DH was saying the electron motion is a null vector, but along a helix. So the question @57:30 should be about how a photon conceived of as an e± system propagates (or can, can it be a neutrino otherwise) along a "straight" timelike null path, rather than helical. I could not figure that out. Seems more likely to me the electron mass is gravitating energy and in pair production or annihilation we're seeing a topology change, not necessarily a coupled e± formation splitting to e- + e+ ? But who knows. I don't think his math tells us the correct picture, just that something like it could be the case.
"Old data, when seen in the light of new ideas, can give us an entirely new insight into
a phenomenon; we have an impressive recent example of this in the Bayesian spectrum
analysis of nuclear magnetic resonance data, which enables us to make accurate quantitative
determinations of phenomena which were not accessible to observation at all with the previously used data analysis by Fourier transforms. When a data set is mutilated (or, to use the common euphemism, ‘filtered’) by processing according to false assumptions, important information in it may be destroyed irreversibly. As some have recognized, this is happening constantly from orthodox methods of detrending or seasonal adjustment in econometrics. However, old data sets, if preserved unmutilated by old assumptions, may have a new lease on life when our prior information advances."
- Preface, pg. xxvii, Probability Theory: The Logic of Science (2003) by E.T. Jaynes
Great lecture! I am happy that it is online!
Where is this published?
Hearing him speak, one may wrongly assume that this man is struggling, but behind the sttutering there is a clear mind that answers varied questions almost instantly. It is clear that this man is very wise.
For an 89 year old, he's doing very well. I had more trouble listening to the Web of Stories video clip of John Wheeler talking about tossing ideas around with friends.
I absolutely must have a link to these slides!
Did anyone find the paper. I would like to see the calculation done for the double slit experiment for a single particle with his method.
@57:30 seemed to me DH was saying the electron motion is a null vector, but along a helix. So the question @57:30 should be about how a photon conceived of as an e± system propagates (or can, can it be a neutrino otherwise) along a "straight" timelike null path, rather than helical. I could not figure that out. Seems more likely to me the electron mass is gravitating energy and in pair production or annihilation we're seeing a topology change, not necessarily a coupled e± formation splitting to e- + e+ ? But who knows. I don't think his math tells us the correct picture, just that something like it could be the case.
cool