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II.IX. ESA, CERN and the algorithm to divine the
future

Here comes CERN: “ESA and CERN enjoy a long-standing
collaboration, centered on technological matters and fundamental
physics. This collaboration will be extended to link to the CERN
Quantum Technology Initiative, which was announced in June 2020 by
the CERN Director General, Fabiola Giannotti. Through this
partnership, ESA and CERN will create new synergies, building on
their common experience in big data, data mining and pattern
recognition.” 189
Anthony Patch explains that ‘pattern recognition’ is the function of
quantum computers. Their function is to recognize embedded patterns
hidden in large amounts of data (big data) through the function of data
mining. Why are Illuminati trying to recognize patterns? Because
pattern recognition can only take place within randomly generated data
around the world.
Humanity using computer science, which is based on geomancy,
produces the points in the sand, in the silica, in the computer, in the
phone. Not unlike sand in ancient times. Humans produce these random
dots that then produce patterns, but because of the large amounts of
data, patterns are very difficult to discern.
Why Illuminati need to recognize the patterns? Because that's
how they divine the future to create their NWO, but quantum computing
provides only a probabilistic solution. Data from CERN are the result
of the collision of fundamental particles. The collision of fundamental
particles is the counterfeiting of nature that burns the elements.
The combustion of elements is the brightness. The brightness label
is the result of the collision of particles, the release of energy inside
collider detectors. That brightness produces data, energy
measurements, mass measurements. Data are the random numbers that
are generated by the random collision of particles.
The randomly generated data, due to the collision of particles, are

189 The European Space Agency, Digital Twin Earth, quantum computing and AI
take centre stage at ESA’s Φ-week, 28/9/2020, op. cit.

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