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Thanos5150 Wrote:
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>
> And by the same token, if my headphones went up to
> 11 and all my 8-tracks went to 20 then would they
> not all be at least 11?
I don't think that's an applicable metaphor to RCD methods applied to the pyramids.
Since we need to introduce the possibility of contamination with modern carbon, that would be akin to mixing a lower volume (e.g., relatively modern) signal into your original signal which would artifactually reduce the resulting volume of the original signal, so you might never get above a 9 or 10 even though the original signal was up at 20.
Also, we need to consider the possibility that the sampled mortar might have been applied by the OK long after the original date of construction either because of "restorations" to repair less durable mortar that was originally applied to the core blocks and which eroded significantly over the centuries/millennia before the OK but after the casings had been removed, or because there wasn't any mortar applied originally at all, and that the mortar was only added during the OK during a "restoration" by an adaption culture that make the pyramids "their own". In this sense, the original recorded signal of 20 was replace by a new guy that moved into the recording studio and produced a different signal which you are measuring today at 9 or 10 but which has little or nothing to do with the original signal of 20 which was replaced by the new owner.
And of course, there's the artifacts introduced by the assumptions made in the "expected" distribution to ensure the data samples fit that distribution (as hinted by drrayeye's post in this thread). The calibration curve is essentially a raw data filter than massages the data to either fit into the expected distribution or be excluded as an outlier. Obviously, that's very problematic if, say, the real distribution is something like "a multivariate distribution including 15k-10k BC and 5k-2.5k BC" whereas the presumed distribution is "a univariate normal distribution including 4k-2.5k BC". It's like trying to impose the definition that the electromagnetic spectrum only consists of the color spectrum since that's all we know about so everything electromagnetic must therefore be rescaled (aka "calibrated") to "best fit" into that narrow spectrum.
Edited 2 time(s). Last edit at 19-Jun-16 14:42 by Origyptian.
-------------------------------------------------------
>
> And by the same token, if my headphones went up to
> 11 and all my 8-tracks went to 20 then would they
> not all be at least 11?
I don't think that's an applicable metaphor to RCD methods applied to the pyramids.
Since we need to introduce the possibility of contamination with modern carbon, that would be akin to mixing a lower volume (e.g., relatively modern) signal into your original signal which would artifactually reduce the resulting volume of the original signal, so you might never get above a 9 or 10 even though the original signal was up at 20.
Also, we need to consider the possibility that the sampled mortar might have been applied by the OK long after the original date of construction either because of "restorations" to repair less durable mortar that was originally applied to the core blocks and which eroded significantly over the centuries/millennia before the OK but after the casings had been removed, or because there wasn't any mortar applied originally at all, and that the mortar was only added during the OK during a "restoration" by an adaption culture that make the pyramids "their own". In this sense, the original recorded signal of 20 was replace by a new guy that moved into the recording studio and produced a different signal which you are measuring today at 9 or 10 but which has little or nothing to do with the original signal of 20 which was replaced by the new owner.
And of course, there's the artifacts introduced by the assumptions made in the "expected" distribution to ensure the data samples fit that distribution (as hinted by drrayeye's post in this thread). The calibration curve is essentially a raw data filter than massages the data to either fit into the expected distribution or be excluded as an outlier. Obviously, that's very problematic if, say, the real distribution is something like "a multivariate distribution including 15k-10k BC and 5k-2.5k BC" whereas the presumed distribution is "a univariate normal distribution including 4k-2.5k BC". It's like trying to impose the definition that the electromagnetic spectrum only consists of the color spectrum since that's all we know about so everything electromagnetic must therefore be rescaled (aka "calibrated") to "best fit" into that narrow spectrum.
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How can any of us ever know, when all we can do is think?
How can any of us ever know, when all we can do is think?
Edited 2 time(s). Last edit at 19-Jun-16 14:42 by Origyptian.
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