On Oct 5, 2009, at 9:40 PM, William Beaty wrote:


Hey, SSE just published a new magazine on alt-science, edited by Patrick
Huyghe of The Anomalist.    (I'm buying the paper version, so they'll
actually earn a few dollars.) http://www.scientificexploration.org/ edgescience/

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EdgeScience Magazine
New from SSE!

Why EdgeScience? Because, contrary to public perception, scientific
knowledge is still full of unknowns. What remains to be discovered - what we don't know - very likely dwarfs what we do know. And what we think we know may not be entirely correct or fully understood. Anomalies, which
researchers tend to sweep under the rug, should be actively pursued as
clues to potential breakthroughs and new directions in science.


ISSUE 1, OCT 2009
  http://www.scientificexploration.org/edgescience/

THE OBSERVATORY
*  Doing Science Means Exploring: An Editorial by Henry Bauer

NEWS NOTEBOOK
*  "Surely There's Nothing Left to Discover"
*  Just Off By a Factor of 1,000
* A Mysterious Variation in Radioactive Decay Rates, By Peter Sturrock

FEATURES
*  Is the Global Mind Real?, By Roger D. Nelson
[snip]

Cool! And the first issue is free in PDF form.

From the "Is the Global Mind Real?" article I was surprised to find the noosphere or "Global Consciousness Project" is still alive and kicking. I posted the following in their statistics forum:

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The noosphere FAQ states under the topic "The XOR":
"To eliminate biases of the mean that might arise from such environmental stresses as temperature change, electromagnetic fields, or component aging, an exclusive or (XOR) mask is applied to the digital data stream. This is either an alternating 1/0 pattern (this is applied by the GCP software for the Orion devices, and in hardware for the PEAR devices) or a more complex mask comprising an array of all bytes with equal occurrence of 1/0 (this is in firmware in the Mindsong devices). Both types of XOR exclude bias of the mean, in principle, and the latter also excludes all short-lag bit-to-bit and byte-to-byte autocorrelations. Finally, data for the GCP are recorded as "trials" that are the sum of 200 bits drawn from the primary bit sequence. This sum across bits further mitigates any residual short- lag autocorrelations or other time-series predictability. The result is a data sequence of random numbers that conform to the appropriate theoretical binomial distribution and to its normal approximation."

I posted some comments in 2000 and 2003, in an anomalous science newslist, regarding the methodology employed in US Patent 5,830,064, the Mindsong Inc patent describing methods used in a REG. See:

http://www.mtaonline.net/~hheffner/RandPad.pdf

I think a superior method of data whitening, compensating for device bias, was suggested for your REG application.

If the sum of bits means the XORing of 200 bits to make one trial bit, and only trial bits are used for data, then the need for initial device bit XOR whitening is drawn into question. It raises the question of whether whitening of device data is actually desirable at all for your application. The whitening might actually be destroying useful data. It may more useful (sensitive) to record and develop baseline statistics for raw (non-whitened) data and then compare live data sample statistics with baseline statistics using student-t tests or similar.

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Best regards,

Horace Heffner
http://www.mtaonline.net/~hheffner/




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