www.cloakanddagger.de
presents:
ANDROMEDANS,
BELLATRICIANS AND US
Part 7: The
Alien Aspect of 9-11
By: Dr.
Stefan Grossmann, www.gallerize.com, 2008-01-10
This part 7 looks at
9-11 on the background that the previous parts have presented. It would be a
mistake to believe that the insider terror attacks on September 11, 2001 had no
Alien aspect. In other words: 9-11 does have an Alien aspect. Another question
is, what to make of it. This is very strange and is discussed among 9-11
researchers preferably behind closed doors, for fear of making a fool of
oneself. Presenting materials that might help the truth along is never foolish,
however. In this vein, here goes:
I. THE PRINCETON UNIVERSITY EGG DATA FOR 9-11-1:
This is one of the
most important points of 9-11, but it is hardly ever discussed. Even more
seldom is it ever understood. I do not claim to fully understand it. But it
definitely belongs in our context.
The Princeton EGG
data are scientific proof from university computers that during 9-11, somehow
the matrix of our reality was tampered with. You tell me the best name for this, such as, proposed: holographic
insert, reality tampering, manipulation of the matrix, precursor engineering
(engineering concept of Thomas E. Bearden), opening an alternate timeline for
history, etc.
We find these more
than strange yet undisputable computer source materials from 9-11-1 on the
internet, see
http://noosphere.princeton.edu/terror.html
with a number of
sub-links branching off this page presenting additional details.
The key finding of
the scientists at Princeton University is told in the last sentence of the
following quote from the aforementioned web page, highlighted by me in red:
„The following material shows
the behavior of the Global Consciousness Project’s network of 37 REG devices
called ‘eggs’ placed around the world as they responded during various periods
of time surrounding September 11. A book chapter gives a compact summary.
These eggs generate random data continuously and send it for archiving and analysis
to a dedicated server in Princeton, New Jersey, USA. We analyse the data to
determine whether the normally random array of values shows structure
correlated with global events. This page shows a wide range of exploratory
analyses that provide context for the formal hypothesis testing related to the events on
September 11. A number of people have done supplementary and complementary
analyses, as well as direct replications. Links to these are provided below. An
especially interesting effort was undertaken by Bryan Williams, who used data
in 15-minute blocks, to compare with the seconds
resolution used in the formal analyses. To the extent his results are similar,
this provides some response to the question whether a general, external
influence is at work, as opposed to an ‘experimenter effect’ operating via
fortuitous (albeit anomalous) selection of the analysis specifications.
The underlying motivation for
this work is to discover whether there is evidence for an anomalous interaction
driving the eggs to non-random behavior. In a metaphoric sense, we are looking
for evidence of a developing global consciousness that might react to events
with deep meaning. The whole world reeled in disbelief and horror as the news
of the terrorist attack and the unspeakable tragedy unfolded. Our analyses show that the EGG network registered an
unmistakable and profound response.”
The Princeton
University scientists cautiously proffer the argument that our planet, Earth,
Gaia, has a consciousness that registered the attacks in horror. I would
personally tend to agree with this assumption, but I do not believe that it is
a sufficient explanation for the non-randomness of the statistics generator
computers of the EGG network on 9-11-1. I offer the following additional
explanation: The EGG computer network registered Satanic Illuminati Alien
tampering of our reality, a tampering that took place wholesale on causal
levels above the zeroth bioframe (term of Bearden), i.e. above the physical
realm and causative for the same. I also argue that this feat was achieved in
such a way as to rule out the use of even the most exotic and secretive
weaponry presently available to any non-ET terrestrial humans. I am not saying
that this is certain, but I believe that it is the most plausible explanation.
Here are some details
from one of the follow-up pages, the „extended analysis” page,
http://noosphere.princeton.edu/terror1.html,
everything in Times
New Roman font following is a direct quote from the Princeton University web
site quoted. I would call this direct stochastical evidence of anti-Christ
activity:
A striking picture
is generated when the smoothing is applied later in the computations directly
to the odds ratios. The resulting picture is remarkable, but the details vary
greatly if different window sizes are chosen. The impressive main peak is
actually driven by the inclusion of the extreme score previously mentioned,
because it dominates each average as the one-hour window moves over it.
Variance
Analyses
For a broader
perspective, the next set of analyses used a different measure. Instead of
looking at the shift of the mean values of the REG devices, we ask whether the
variability among the eggs changes. Is there an increase or decrease in the
range of scores that may be correlated with the event of the attack? The
procedure used for visualization is the same as before, but we plot the
accumulated deviation of the variance across the 35 or 36 eggs from its expected
value.
The first figure
shows the cumulative deviation of the variance over the the 20 hours from
midnight to 20:00. No probability calculation has been made for this figure,
but it shows a normal fluctuation around the horizontal line of expectation
until about 05:00, followed by a precipitous rise, indicating a great excess of
variance continuing until about 11:00. Shortly after, a long period begins
during which the data show an equally impressive deficit of variance. Again
there is an indication that the effects registered for this horrendous event
actually began to be noticeable several hours prior to the first attack. John
Walker comments that the distinctive shape of the graph is suggestive of a
classic „head and shoulders„ graph seen in stock market analysis.
No probability calculation has been made for this
figure, but the extreme excursion reaches a level of about three sigma, which
corresponds to odds of about 1 in 1000. For a visual indication of the
likelihood that this is merely a random fluctuation, the automatically
generated pseudo-data for September 11 are plotted in the same format for
comparison. In contrast to the real data, there are no long-sustained periods of
strong deviation in the algorithmically generated data, although there is a
small positive slope.
Again, a larger context reinforces the impression that
the variance measure is highly unusual around the time of the attacks. The
following graph shows three days centered on the 11th, and shows the
corresponding pseudo-data for comparison to the cumulative variance of the
actual EGG data.
A longer context is perhaps even more
thought-provoking. Visually the next graph is striking in several respects.
Because we do not have a priori expectations or permutation analysis to examine
the likelihood of the trends, any interpretations we make are speculative. With
that acknowledgement, we can note that the cumulative deviation trends suggest
that the spike on the 11th was part of a buildup that began several days
earlier, and took several days after the 11th to return to the level trends
expected for random walks. The primary spike on the 11th is the most prominent
in this context, but note that it is not unique; there are some other trends
that, while not so sharp for so long, are also visually striking.
Refining the Analyses, Dean Radin:
I have been continuing to analyze data from the Global
Consciousness Project to confirm and then extend what Roger Nelson and I have
found, associated with the events of 9-11.
For the technically
inclined, the steps in creating the basic z-score plot were as follows:
0) download raw
data from the GCP site (http://noosphere.princeton.edu)
1) calculate an
empirical mean and sd for each GCP egg (i.e., RNG), over each day
2) calculate one
z-score per egg, based on above mean and sd, per second, using daily empirical
mean & sd
3) calculate sum of
z-squares for all eggs in non-overlapping 5-minute periods, per day
4) keep track of
number of degrees of freedom (same as # eggs reporting), for step 3
5) calculate
chi-square for sum of z-squares for 6 hour sliding window, with right edge of
sliding window at „present time“
6) calculate
z-score equivalent for step 5
7) draw the plot
This graph shows
results for a 6-hour sliding window, in terms of z scores, from Sept 6 - 13. In
this graph, positive z’s mean the RNGs became „more ordered“ than expected by
chance. Negative z’s mean the RNGs became „more random“ than expected by
chance. The peak value in this graph is 9:10 AM, Sept 11. Between the beginning
of the tragedy and 7 hours later this data shows a drop of 6.5 sigma (odds
against chance of 29 billion to 1). Such large changes will eventually occur by
chance, of course, but this particular change happened during an unprecedented
event, suggesting that this „spike“ and „rebound“ were not coincidental.
This shows the
one-tailed odds against chance associated with the above z-score plot, in log
space. The peak is at 9:10 AM. The „0“ in the x-axis shows the start of each
day.
This shows the
two-tailed odds against chance associated with the above z-score plot, in log
space. The first peak is at 9:10 AM, the second is at 4:20 PM. I show this to
emphasize that unexpected negentropic and entropic changes both appeared during
the crisis.
This shows the
result for the z-score plot above when pseudorandom data are substitued for the
real data.
This shows the
one-tailed odds ratio plot when pseudorandom data are substitued for the real
data.
This shows the
two-tailed odds ratio plot when pseudorandom data are substitued for the real
data.
A draft report is now available giving the details of a sequence of
analyses by Dean Radin examining the timing of significant spikes in the data
and the effect of the distance of the eggs from New York and Washington.
More Context
The extraordinary results around the day of the
disaster can be seen more clearly in the context of variations that are found
in earlier data. Here is a picture of a month of data, from July 15 to Sept 16
odds against chance, using empirical mean and sd. The highest
peak is at 9:10 AM 9-11.
In the process of exploratory analysis, various
parameters such as the width of the sliding window for the moving average. In
some respects, the process is one of seeking an optimal algorithm for
extracting signal from noise. This leads to some combinations that may be
unusually successful, and although the analytical results have to be understood
in context, we think it is worthwhile to show some of these special cases. Dean’s
accompanying remarks for the next figure were simply: „odds for 9/6 - 9/16, wow“
The figure shows the one-tailed odds ratio for the 11 day period centered on 11
September. I was checking descriptions and technical information and asked
whether I had correctly expanded the rather brief explanation of the figure.
Dean responded, „I said wow because it was the first graph I did where Sept 11
was in the middle of the graph, and the spike just sits there all by itself,
mocking us in our ignorance of what it means (I know we have some speculations,
but sometimes I think we’re more like a couple of clever neurons trying to
figure out what the nature of a brain is).“
Premonition and Prayer
Just an hour and a half before these terrible events
transpired, I had sent one of the occasional updates to my mailing list of
people interested in the Global Consciousness Project. In it, I said that it
had been rather quiet for the last couple of months, and ventured that this
might be a good sign. Quoting from a followup note,
It is a terrible irony that I should have sent a GCP note with such an
optimistic impression just an hour before the first explosive crash of the
terrorist attacks in New York. Before the end of this day, I want to say how
deeply saddened I am that this global event occurred, and I pray it will not
lead to more events born of hatred and evil intent.
Please join us all in that prayer.
Since the horrible event, innumerable calls for prayer
have been made. On the 14th of September there was a special emphasis on such
collective spiritual moments, including major organized periods of silence in
Europe and America. Doug Mast made a specific and formal prediction for a
deviation of the Chisquare „over the time periods 1000 to 1003 GMT,
corresponding to a European organized mourning
(http://www.cnn.com/2001/WORLD/europe/09/14/europe.mourning/) and the time
period 1200 to 1203 EDT (1600 to 1603 GMT) corresponding to the beginning of
the Washington service and many organized mourning events in the Eastern US.“
Here is the resulting graph.
The result is very interesting, I think -- a
marginally significant *decrease* in variance. The Chisquare is 150.68 on 180
degrees of freedom, with probability 0.9455. The trend is steadily opposite to
the usual (and specified) direction, but I think it somehow looks right --
symbolic of the moment’s contrast to the preceding days. It may be worth noting
that this is one of only two cases in the database of 80 formal GCP predictions
where the result goes in the opposite direction.
Heroism
There were four
planes taken by the terrorists. Only three made it to their destructive
destinations. The fourth was apparently brought down to crash in western
Pennsylvania by passengers who attacked and overcame the terrorists, in a
deliberate sacrifice of their own lives. We did not make a formal prediction
about this event, but it certainly deserves analysis from the point of view of
the EGG network. We do not have precise timing information, so the times
selected for analysis here are speculative and selected with emphasis on the
dramatic trends.
The first of the
two following figures shows the data during what was likely the buildup and the
struggle. The spike at the end is driven by a one-second trial during which the
eggs were so highly correlated as to produce a Z-score of 4.8, which has odds
of less than 1 in a million. Such an extreme score might happen by chance once
in 15 days; the odds of ocurring during the 1.5 hour span of the terror attacks
is about 1 in 200.. The second figure shows 15 minutes immediately preceding
the crash. We will never know whether this picture reflects anything of what
was happening in reality, but I like to imagine it represents an acceptance of
the sacrifice.
Statistics Notes
What is the
difference in the Chisquare and Variance graphs. How does one change the „deviation“
calculation to arrive at „variance“?
The Chisquare figures
show the cumulative deviation of the second-by-second Z-scores (squared),
compounded across the N eggs (N=36 to 38 at this time). That is, for each
second, the Z’s for all the N eggs are added and normalized by sqrt(N), then
the resulting Z is squared to yield a Chisquare with 1 df, and finally the
Chisquares-1 (Chisq=1 is the expectation) are cumulatively summed, to represent
the departure from expectation.
The Variance
figures show something similar, but instead of the compounded Z across eggs, the
variance (squared standard deviation) is computed across the N eggs for each
second. The sequence of Variance-50 (Var=50 is the expectation) is then
cumulatively summed as before.
The Chisquare
figure displays extreme departures, in either direction, of the trial scores of
the egg from what is expected by chance. The Variance figure displays the
degree of variability among the trial scores for the eggs. Chisquare addresses
movement of the central value of the distribution, Variance represents changes in
the range or width of the distribution.
What is the
difference in the the analyses by Roger Nelson and Dean Radin?
The most important
difference is in the treatment of the data at the finest scale. Neither way is
superior, but there is a difference in what is expected or hypothesized about
the behavior of the eggs in the presence of a possible influence. The two
perspectives are complementary, and though they are not fully independent,
using both contributes to our confidence that the apparent effects are not
accidents or mistakes.
For each second,
Roger calculates what is called a Stouffer Z across the eggs as described
above. This means that in order to produce a large deviation, the eggs have to
have a positive correlation  to be doing the same thing. This composite Z is
squared, so it does not matter whether the average value is shifted to the high
or low direction, but there must be some excess deviation and there must be a
tendency toward inter-egg consistency in the direction of deviation. The result
is a single squared Z-score, which is Chi-square distributed, for each second.
Dean calculates a
Z-score for each egg separately, and squares these individual Z-scores. He then
sums the squared Z’s across the eggs, producing a a single Chi-square for each
second. In this case, the eggs are not expected to show a positive correlation,
and a high score requires only that there is a tendency for excess deviation in
either direction; no inter-egg consistency in the direction of deviation is
predicted. Again, the result is a single squared Z-score, which is Chi-square
distributed, for each second.
II. SMOKE FIGURES:
I interpret the notorious 9-11 smoke figures in this context of
anti-Christ activity (top-level precursor engineering) versus Christ activity.
Here are some examples before this crucially important evidence is forgotten:
III. DIRECT ALIEN PRESENCES:
Orbs, UFOs and Ciakars in the air on 9-11-1 at the WTC. These flying craft
might include human reverse engineered Alien technology, or some of them just
simply sophisticated human technology of the secret elite:
1. Orbs:
2 . Other (Non-Orb) UFOs:
