My questions, concerns and speculations about method arise because I
find it baffling
that your estimate and MFMP team's estimate of excess Power can be so different.

Harry

On Thu, Feb 7, 2013 at 5:56 PM, David Roberson <dlrober...@aol.com> wrote:
> Harry, I use a blindfold when the data is being optimized. :-)  The LMS
> routine takes the raw data and makes my simulated curve match it.  I do not
> have any idea what the result will be and it could be either positive or
> negative.  An earlier calibration sets the rules that the data is compared
> against.
>
> Most of the time I download the live data from the MFMP site and evaluate
> one of the power steps.  If there is a problem with the collection of the
> data, then that shows up in such a way as to generate a visual flag which I
> can review to determine why it is behaving in a strange manner.  That is a
> rare occurrence.
>
> How would you handle the evaluation in the absence of a calorimeter?   Time
> domain transient analysis is the best that I can do under the current
> restrictions.  I am open to suggestions provided they are possible to
> achieve, but do keep in mind that I can only request special tests by the
> MFMP group and I have no control over their decisions.
>
> I believe that it is preferable to do something instead of wait for someone
> else to spoon feed me.  I chose to post the results of my program runs to
> ensure that the vortex group is aware of any progress.
>
> If you are serious about blind analysis being useful and not kidding then I
> will answer.  Of course it is important and is essentially conducted every
> time I run a set of data through my program.  Initially, I was expecting to
> see positive results, but that is not what the program produced.   Any new
> data that I download might demonstrate either positive or negative excess
> power since I do not have a clue about what will be found.  I must admit
> that after so many runs with no excess power being determined, I am becoming
> biased toward that expectation, but I do not modify the way the program
> operates to achieve that result.
>
> Dave
>
>
> -----Original Message-----
> From: Harry Veeder <hveeder...@gmail.com>
> To: vortex-l <vortex-l@eskimo.com>
> Sent: Thu, Feb 7, 2013 3:52 pm
> Subject: Re: [Vo]: MFMP Null Result
>
> On Thu, Feb 7, 2013 at 1:07 PM, David Roberson <dlrober...@aol.com> wrote:
>> The questions that are being asked are important and the MFMP guys are
>> working very hard to answer them.  A number of additional measures have
>> been
>> taken at various times to root out unusual behavior and to improve the
>> accuracy of the results.  Everyone realizes how important this is to get
>> right.
>>
>> One test that they ran last month was per a request I made that is quite
>> similar to what is suggested by Jack.  First the cell was stabilized with
>> all of the power being applied to the test Celani wire.  At a specific
>> point
>> in time, the power was quickly shifted to the heating wire which is NiCr.
>> The input powers were matched to a close degree.  I noted that the
>> apparent
>> excess power changed by about .4 watts if I recall.  That actual value for
>> this discussion is not important, but if you need I can look it up.  The
>> source of the difference was not determined at that time, but both wires
>> were exposed to helium instead of hydrogen for that test.  A vacuum and
>> other attempts had been recently performed to remove any LENR activity
>> that
>> might be normally there.  The details are written in a log on their site.
>>
>> This lack of power output correlation concerned me then  and still does.
>> There are numerous variables to contend with and it is apparent that
>> control
>> of the accuracy is not trivial.  Everyone is getting a good education as
>> to
>> how difficult these tests are to confirm.
>>
>> Lately, I have been worried that the excess power being shown on their web
>> site(~5 watts) with the current technique that they have been using to
>> calculate it is far too large to be real.  I do not want to see too many
>> folks let down by reality when the calorimeter does is miracles.  Another
>> guy, Ascoli, used a technique to adjust their results that compensates for
>> the density changes of the hydrogen.  The final curve he determined
>> matches
>> my steady state program output closely.  I use the outside glass
>> temperature
>> minus the ambient to calculate the instantaneous power which is more
>> immune
>> to changes within the cell such as gas density.  Of course my program
>> takes
>> into account the delay associated with heating of the glass and monitor.
>>
>> The amount of direct hot wire generated IR that escapes through the glass
>> envelop is a potential contributor to inaccuracy.  If this drifts, then
>> the
>> power captured and monitored on the outer glass test point will vary.
>> There
>> has been evidence of this effect in the past when goop collected upon the
>> test wires leading to changes in emissivity.  That is the current theory I
>> apply to calibration drift.  Amazingly, the recent calibration factors
>> appear to be holding well after many days of burn.
>>
>> This is a learning experience for all of us.  Experimental science is a
>> form
>> of bondage!  Does it ever get better?
>>
>> Dave
>
>
> Doesn't S&M include blindfolds? ;-)
>
> Early you also said you believe in "letting the data speak for itself."
> In that case, you should also be blind as to whether the data set contains
> an expected positive or negative signal. In other words you should be
> analysing
> data sets without knowing what exactly is being tested in each set.
>
> Do you think in principle a blind analysis can be informative even
> without calibration data?
> One could choose any data set as their baseline and see how the data
> sets *compare*.
>
>
> Harry
>

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