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Humans are Hackable - What the WEF?

Huh? 

  • What is hackable ?
  • What's in those jabs anyway ?
  • Why everyone ?
  • What are they hiding ?


https://www.weforum.org/agenda/2020/01/huawei-us-china-ai-future-of-tech/

Humans are Hackable - What the WEF?
Getting Spooky
Evidence & References
Experiment Prep
BLE - Bluetooth Low Energy Apps source document (click)
Crowd Source Experiment - Results Collection
Install BLE app on your phone
Experiment-0: Shield Removal Test
Experiment-1: Crowd Survey Test
Experiment-2: Lone Hiker Test
Experiment-2:  MAC Isolation Test
Experiment-3:  Passerby Test
Magnetometer Test Setup
Experiment-3: The Magnetometer Test
References and Details:

Scan to Load Page.

Getting Spooky

These pictures of nano-circuit-like devices taken from the Pfizer vaccine that warmed to room temperature for a few hours. The images are from https://LaQuintaColumna.net. Researchers in New Zealand and elsewhere have reproduced these findings. 

Pfizer Injection Images

La Quinta Columna

 

 

 

The injections are for vaccines the government says are safe and effective - when the actual data shows they are very dangerous. There's no data of long term safety data to contradict that many of the jabbed report getting sick. Never-mind the reports of 800,000 dead bodies and live videos of professional athletes, comedians and the like keeling over, usually dead, in public. 

For more info see


Is there any truth to those wild stories about Bluetooth Pairing with Humans via a MAC Address.

I laughed it off - but now I wonder.

How big is the lie?

Evidence & References

Click each to view detail

Experiment Prep

  • Install the Bluetooth Inspector on your mobile device
  • Turn on Bluetooth
  • See how many devices show up
  • Delete any that have names



BLE Scanner on Apple Store

Blue Hound App on Apple Store

An unidentified device with no services doesn't necessarily mean that it is associated with a person. There are some legitimate devices that do not publish public services. These are rare because they lack significant utility. 

Notes:

  • Use BLE Scanner.
  • Note  the N/A addresses
  • A lower -dB number is a stronger signal
  • If the signal gets stronger you are getting closer to the source
  • Don't be surprised if the signal disappears if you attempt to connect signal gets stronger with a lower -dB number you

 usually identifies devices with actual services.

Beware that some devices boot with different MAC addresses.

The Blue Hound app presents a distance / signal strength bar as you get closer. It 

BLE - Bluetooth Low Energy Apps source document (click)


iOS applications

Android applications

Crowd Source Experiment - Results Collection

The biggest problem is lies. There is no data to trust in the vast majority of technical medical literature. The entire system is corrupt.

As of this writing - I trust only what I observe:

  1. Many suspicious of MAC addresses in all public places - more than seem normal.
  2. Unable to detect unusual addresses at home or in the presence of unmodified friends and family
  3. Credible reports of anomalous energetic phenomenon: 
    1. People with one or more MAC addresses
    2. Magnetic & Paramagnetic observations of vaccinated people
  4. Institutional fervor for mass deployment of vaccines for a disease with very low morbidity
    1. Irrational urgency to inject children
    2. Irrational urgency to inject first responders and healthcare workers
    3. Irrational urgency for mass deployment of clearly harmful RF frequency technology 5-300 GHZ which is clearly known to be harmful
    4. Coverup of evidence of harm
  5. Injections Apparently Containing
    1. Untested Gene Modification Technology
    2. Observable Parasites
    3. Graphene Oxide Artifacts
    4. Artifacts that look and act like self assembling circuits 
  6. Sinister drive to inflict these technologies on all children
  7. Coordinated coverup of death and injury by government and industry
  8.  Manipulation of iOS & Android operating systems to make it more difficult to detect Unidentified MAC addresses in recent versions.


If you agree it seems prudent to work together to discover if there is any truth to the concept that the injections contain malevolent technology. 

Install BLE app on your phone

Experiment-0: Shield Removal Test


  1. Have subject secure all bluetooth devices a reasonable distance from the test area.
  2. Cover Subject with Shield Fabric. Shielding blocks the subject from receiving external magnetic fields from LAN, 5G and other sources. 
  3. Wait 3 minutes.
  4. Start bluetooth and clear all lists. Internal MAC devices use "stray" fields, this blocks the power supply to these devices so they stop transmitting. The shield also blocks emissions. This combination removes any nano-tech devices from being detected.
  5. Turn on Bluetooth Address sensor and let Bluetooth initialize for 3 minutes to detect local Mac Addresses - save list if application permits.
  6. Remove Shield fabric from subject
  7. Watch list for 2 additional minutes for appearance of new Bluetooth MAC addresses. These addresses will be "unknown". It can take up to 2 minutes for these addresses to appear because they may need to absorb environmental EMF to gain power to start transmission.
  8. Record any MAC addresses that appeared after shield was removed. There may be multiple MAC addresses.

  9. Confirmation Methods

  10. These methods permit an investigator to confirm the individual is the source of the bluetooth signal.

  11. Signal Attenuation Test

  12. As you move the detector application away from the suspected source of the signal, it will become weaker. As you move the detector toward the subject the signal will get stronger. This confirms the subject is the source.

  13. Alternate Site Test

  14. Relocate subject to an alternative location and repeat test. Look for MAC addresses common to the first location. 

Experiment-1: Crowd Survey Test

  1. Turn off Bluetooth
  2. Go to a public place with people
  3. Turn on Bluetooth
  4. Activate Bluetooth Inspector to scan for MAC addresses 
  5. Go to the History Panel and Delete All Addresses
  6. Leave Bluetooth active for about 2 minutes
  7. Delete all named devices
  8. Turn off bluetooth (This prevents BLE from finding other results when you refer to it later.)
  9. Count or estimate the number of people present
  10. Count the number of N/A address in the history
  11. Compare the number and ask yourself if it seems like there are more MAC addresses devices there?
  12. If Yes you have evidence that to suspect there are more MAC addresses than seem normal
  13. If No then you have evidence that everything seems normal

Experiment-2: Lone Hiker Test

This experiment involved passing lone hikers on isolated remote roads with no cell service. The absence of cell services makes it unlikely the hiker would carry a cell phone. However like the first experiment - it is indeterminate. The hiker may be using a bluetooth listening device for music or entertainment. Normally these devices will show up with known device info established. 

So far all Lone Hiker Tests of vaccinated individuals have resulted in positive MAC address emissions.

Experiment-2:  MAC Isolation Test

Environment Setup:

  1.  Isolate yourself at least 600 feet from
    1. All electronic devices - cars, computers, internet routers
    2. Other people
  2. Turn on Bluetooth
  3. Activate Bluetooth Inspector to scan for MAC addresses 
  4. Go to the History Panel and Delete All Addresses
  5. Leave Bluetooth active for about 2 minutes
  6. Delete all named devices
  7. Turn off bluetooth (This prevents BLE from finding other results when you refer to it later.)
  8. How many MAC addresses does Bluetooth Inspector detect?
  9. If you see an extra address  - you (or the person you are with) are hacked.
  10. Nature does not assign machine addresses to humans.
  11. If you took multiple injections - you will may have a separate MAC address for each injection.


Social Setup:

It has proven difficult for me to engage people with the thought that they may have been contaminated with technology which emits radio signals from their body.

  • First - this technology, if it exists, is hidden - and so science-fiction that most will dismiss the feasibility. 
  • Second - the notion that the trusted medical community would violate the public by injecting digital tracking violates believability.
  • Third - A signal would endow them with the "Mark of the Beast" and would invoke the noxious spiritual notion - that they have already unknowingly exited the biblical concept of spiritual grace.

"Hey - I think they injected you with digital nano tech which has caused your body to emit a MAC address. Do you want to find out if my crazy-paranoid opinion is true?"  If I were them - I would say - No - I don't want to know. 

The mere thought they could have been medically violated provokes denial and even anger at the thought. This makes it difficult to even approach vaccinated.

A better approach use contact tracking as a smoke-screen.

  • "Hey have you seen the movie 2000 mules?"  
  • I'd like to discover if the really have the ability to track someone within 6 feet;
  • Would you be willing to join me out in the open, away from radio transmitters, for a few minutes?
  • All you need to do is turn your phone off, or leave it behind for a few minutes. 
  • This sets the stage where you can
    • Please put your phone in airplane mode
    • Please turn off bluetooth
    • Without disclosing you are actually testing them for radio emissions.
  • Now you can scan for their bluetooth address...
  • If you end up with a BT address with their phone off...
    Go to - Oh Crap - You were hacked! (to be developed if we confirm people are actually emitting signals)

Experiment-3:  Passerby Test

if possible, select a location where passers-by are unlikely to carry phones. This is difficult but not impossible.

  •  Select a location
    1. No MAC signals - hiking trail, stretch of river, or hiking trail
    2. With foot, river or bicycle traffic
    3. Runner Trail less likely to have cell phone (Runners less likely to be vaccinated also.)
  • Activate BLE when people pass by
  • How many MAC signals do they present

Example Whitewater River Strategy:

We live near a river with commercial raft operations. Rafters are forced to wear wetsuits because the water is very cold. The river is a low-signal area because rivers are usually in canyons which minimize EMF signals. 

Rafting participants virtually never have their phones with them:

  • Poor to no No cell signal in river valleys so cell phone serves no purpose;
  • High risk loss - If they have it unsecured loss is very likely;
  • Cannot use phones because participants must have paddle firmly in hand;
  • Untethered Experience Culture - connections to world behind;
  • No dry storage on raft so cell phone likely to be lost or damaged;
  • Outdoor adventure seekers somewhat less likely to be unvaccinated.

A river will bring many passers-by to create a large data set. You will be able to remain stationary to gather your data. Commercial raft guides will have near zero cell phones while private craft are more likely to have phones in possession because they are more likely to be able to have secure dry storage on-board.

There are three choices of monitor locations.

Put-in Point








  • Will detect signals from the bus. (Most users will leave cell phones at their car and not bring on the bus)
  • Human based Signals will fade as people depart leaving a residue of bus and local signals.
    Signal power levels will fade (in dB) as the humans slowly depart down the river. Video of rafts drifting away will correlate the fading signal using BLE distance graph - screen recording. velocity of the raft with the signal strength.
    Use BLE distance plot mode. The reorganizing dots with dB will illustrate the fading signals from near to far if they are present.
  •   it will be convincing that the signal source is the people on the rafts.
  •  Simultaneous recording of departing rafts correlate with decrease and disappearance of signals will visually correlate and illustrate the people - lacking cell phones are the source of the signals on the screen.

Take-out Point







  • Bus will have residual cell phone signals for phones left on the bus
  • Human signals will come into range and get stronger as the participants get on the bus. 
  • In place signals will likely remain generally constant as long as there is a small number.
  • Place iPad near the bus door and video as rafters board the bus
  • Position near take out point to observe signal strength during exit process (takes a few minutes)

River Waypoint

  • Pick a narrow spot in the river where rafts will pass within 20 ft with "slow" current. 
  • Screen recording can illustrate appearance, increase and decrease of signal strength as rafts pass on BLE signal plot.
  • Use a 2nd camera to correlate signals with passing raft on river
  • Paired footage tells the whole story.


Magnetometer Test Setup

  1. Go to App Store
  2. Download uMagnetometer
  3. Use Magnetometer to test for unusually strong magnetic fields
  4. Normal Humans do not have detectable fields

Edit your caption text here

Experiment-3: The Magnetometer Test

  1. Place it over your body
  2. Does the magnetometer reading increase when you hold it near an injection site ?
  3. If yes - your body was contaminated by magnetic or paramagnetic substances(s)


References and Details:

5G Based Nano Tech - Conceptual Overview

This is a good summary of the apparent issue.

https://reesereport.com/

https://banned.video/channel/greg-reese


Corona2inspect.net References

This site is in parallel to this work. They have an excellent job rounding up references and evaluating plausibility.

Please visit their site for full detail. In the meantime - this bibliography is copied to enable you to view the scope of references.

Message: "These bastards have been working on this shit for a long time."

Link to Source Page

Bibliography

  1. Abbasi, QH; Nasir, AA; Yang, K.; Qaraque, K.A.; Alomainy, A. (2017). Cooperative In-Vivo Nano-Network communication at Terahertz frequencies = Cooperative in-vivo nano-network communication at terahertz frequencies. IEEE Access, 5, p. 8642-8647. https://doi.org/10.1109/ACCESS.2017.2677498 | https://corona2inspect.net/wp-content/uploads/2022/01/Abbasi-QH-2017-10.1109ACCESS.2017.2677498.pdf
  2. Abd-El-atty, SM; Lizos, K.A.; Gharsseldien, ZM; Tolba, A.; Makhadmeh, Z.A. (2018). Engineering molecular communications integrated with carbon nanotubes in neural sensor nanonetworks. IET Nanobiotechnology, 12(2), 201-210. http://dx.doi.org/10.1049/iet-nbt.2016.0150 | https://corona2inspect.net/wp-content/uploads/2022/01/Abd-El-atty-SM-2018-10.1049iet-nbt.2016.0150.pdf
  3. Abdel-Rahman, M.R.; Gonzalez, FJ; Boreman, G.D. (2004). Antenna-coupled metal-oxide-metal diodes for dual-band detection at 92.5 GHz and 28 THz. Electronics Letters, 40(2), p. 116-118. https://sci-hub.mksa.top/10.1049/el:20040105 | https://corona2inspect.net/wp-content/uploads/2022/01/Abdel-Rahman-MR-2004-10.1049el20040105.pdf
  4. Akyildiz, IF; Jornet, J.M. (2010). Electromagnetic wireless nanosensor networks = Electromagnetic wireless nanosensor networks. Nano Communication Networks, 1(1), p. 3-19. https://doi.org/10.1016/j.nancom.2010.04.001 | https://corona2inspect.net/wp-content/uploads/2022/01/Akyildiz-IF-2010-10.1016j.nancom.2010.04.001.pdf
  5. Akyildiz, IF; Jornet, JM; Pierobon, M. (2011). Nanonetworks: A new frontier in communications. Communications of the ACM, 54(11), p. 84-89. https://doi.org/10.1145/2018396.2018417 | https://corona2inspect.net/wp-content/uploads/2022/01/Akyildiz-IF-2011-10.11452018396.2018417.pdf
  6. Aldrigo, M.; Dragoman, M. (2014). Graphene-based nano-rectenna in the far infrared frequency band. In: 2014 44th European Microwave Conference (pp. 1202-1205). IEEE. https://doi.org/10.1109/EuMC.2014.6986657 | https://sci-hub.mksa.top/10.1109/eumc.2014.6986657 | https://corona2inspect.net/wp-content/uploads/2022/01/Aldrigo-M.-2014-10.1109eumc.2014.6986657.pdf
  7. Bai, J.; Zhong, X.; Jiang, S.; Huang, Y.; Duan, X. (2010). Graphene nano-mesh = Graphene nanomesh. Nature nanotechnology, 5(3), p. 190-194. https://doi.org/10.1038/nnano.2010.8 | https://sci-hub.mksa.top/10.1038/nnano.2010.8 | https://corona2inspect.net/wp-content/uploads/2022/01/Bai-J.-2010-10.1038nnano.2010.8.pdf
  8. Balasubramaniam, S.; Boyle, N.T.; Della-Chiesa, A.; Walsh, F.; Mardinoglu, A.; Botvich, D.; Prina-Mello, A. (2011). Development of artificial neural networks for molecular communication = Development of artificial neural networks for molecular communication. NanoCommunication Networks, 2(2-3), p. 150-160. https://doi.org/10.1016/j.nancom.2011.05.004 | https://corona2inspect.net/wp-content/uploads/2022/01/Balasubramaniam-S.-2011-10.1016_j.nancom.2011.05.004.pdf
  9. Bouchedjera, IA; Aliouat, Z.; Louail, L. (2020). EECORONA: Energy Efficiency Coordination and Routing System for Nanonetworks = EECORONA: Energy Efficiency Coordinate and Routing System for Nanonetworks. In: International Symposium on Modeling and Implementation of Complex Systems. Cham. pp. 18-32. https://doi.org/10.1007/978-3-030-58861-8_2 | https://corona2inspect.net/wp-content/uploads/2022/01/Bouchedjera-IA-2020-10.1007_978-3-030-58861-8_2.pdf
  10. Campra, P. (2021). Graphene detection in COVID19 vaccines by Micro-RAMAN spectroscopy. https://corona2inspect.net/documentacion-y-publicaciones-del-doctor-pablo-campra-madrid/campra-p-2021-nov-deteccion-de-grafeno-en-vacunas-covid-19-por-espectroscopy- micro-raman/
  11. El-Araby, HA; Malhat, HA; Zainud-Deen, SH (2017). Performance of nanoantenna-coupled geometric diode with infrared radiation. In: 2017 34th National Radio Science Conference (NRSC) (pp. 15-21). IEEE. https://doi.org/10.1109/NRSC.2017.7893471 | https://sci-hub.mksa.top/10.1109/NRSC.2017.7893471 | https://corona2inspect.net/wp-content/uploads/2022/01/El-Araby-HA-2017-10.1109NRSC.2017.7893471.pdf
  12. El-Araby, HA; Malhat, HA; Zainud-Deen, SH (2018). Nanoantenna with geometric diode for energy harvesting = Nanoantenna with geometric diode for energy harvesting. Wireless Personal Communications, 99(2), p. 941-952. https://doi.org/10.1007/s11277-017-5159-2 | https://corona2inspect.net/wp-content/uploads/2022/01/El-Araby-HA-2018-10.1007s11277-017-5159-2.pdf
  13. Fahim, H.; Javaid, S.; Li, W.; Mabrouk, I.B.; Al-Hasan, M.; Rasheed, MBB (2020). An efficient routing scheme for intrabody nanonetworks using artificial bee colony algorithm. IEEE Access, 8, pp. 98946-98957. https://doi.org/10.1109/ACCESS.2020.2997635 | https://corona2inspect.net/wp-content/uploads/2022/01/Fahim-H.-2020-10.1109ACCESS.2020.2997635.pdf
  14. Guo, H.; Johari, P.; Jornet, JM; Sun, Z. (2015). Intra-body optical channel modeling for in vivo wireless nanosensor networks. IEEE transactions on nanobioscience, 15(1), p. 41-52. https://doi.org/10.1109/TNB.2015.2508042 | https://corona2inspect.net/wp-content/uploads/2022/01/Guo-H.-2015-10.1109TNB.2015.2508042.pdf
  15. Jornet, JM; Akyildiz, I. F. (2013). Graphene-based plasmonic nano-antenna for terahertz band communication in nanonetworks. IEEE Journal on selected areas in communications, 31(12), p. 685-694. https://doi.org/10.1109/JSAC.2013.SUP2.1213001 | https://corona2inspect.net/wp-content/uploads/2022/01/Jornet-JM-2013-10.1109JSAC.2013.SUP2_.1213001.pdf
  16. Jornet, JM; Akyildiz, I. F. (2014). Femtosecond-long pulse-based modulation for terahertz band communication in nanonetworks. IEEE Transactions on Communications, 62(5), p. 1742-1754. https://doi.org/10.1109/TCOMM.2014.033014.130403 | https://corona2inspect.net/wp-content/uploads/2022/01/Jornet-JM-2014-10.1109_TCOMM.2014.033014.130403.pdf
  17. Khan, AA; Jayaswal, G.; Gahaffar, F.A.; Shamim, A. (2017). Metal-insulator-metal diodes with sub-nanometre surface roughness for energy-harvesting applications. Microelectronic Engineering, 181, p. 34-42. https://doi.org/10.1016/j.mee.2017.07.003 | https://corona2inspect.net/wp-content/uploads/2022/01/Khan-AA-2017-10.1016j.mee_.2017.07.003.pdf
  18. Malak, D.; Akan, O.B. (2012). Molecular communication nanonetworks inside the human body = Molecular communication nanonetworks inside human body. Nano Communication Networks, 3(1), p. 19-35. https://doi.org/10.1016/j.nancom.2011.10.002 | https://corona2inspect.net/wp-content/uploads/2022/01/Malak-D.-2012-10.1016j.nancom.2011.10.002.pdf
  19. Nafari, M.; Jornet, J.M. (2015). Metallic plasmonic nano-antenna for wireless optical communication in intra-body nanonetworks. In: Proceedings of the 10th EAI International Conference on Body Area Networks (pp. 287-293). https://doi.org/10.4108/eai.28-9-2015.2261410 | https://corona2inspect.net/wp-content/uploads/2022/01/Nafari-M.-2015-10.4108eai.28-9-2015.2261410.pdf
  20. Piro, G.; Boggia, G.; Grieco, L.A. (2015). On the design of an energy-harvesting protocol stack for Body Area Nano-NETworks. NanoCommunication Networks, 6(2), p. 74-84. https://doi.org/10.1016/j.nancom.2014.10.001 | https://corona2inspect.net/wp-content/uploads/2022/01/Piro-G.-2015-10.1016j.nancom.2014.10.001.pdf
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  26. Suh, YH; Chang, K. (2002). High-efficiency dual-frequency rectenna for 2.45-and 5.8-GHz wireless power transmission. IEEE Transactions on Microwave Theory and Techniques, 50(7), p. 1784-1789. https://doi.org/10.1109/TMTT.2002.800430 | https://sci-hub.mksa.top/10.1109/TMTT.2002.800430 | https://corona2inspect.net/wp-content/uploads/2022/01/Suh-YH-2002-10.1109TMTT.2002.800430.pdf
  27. Varshney, L.R. (2008). Transporting information and energy simultaneously = Transporting information and energy simultaneously. In: 2008 IEEE international symposium on information theory (pp. 1612-1616). IEEE. https://doi.org/10.1109/ISIT.2008.4595260 | https://corona2inspect.net/wp-content/uploads/2022/01/Varshney-LR-2008-10.1109ISIT.2008.4595260.pdf
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  30. Zainud-Deen, SH; Malhat, HA; El-Araby, H.A. (2017). Energy harvesting enhancement of nanoantenna coupled to geometrie diode using transmitarray. In: 2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC) (pp. 152-155). IEEE. https://doi.org/10.1109/JEC-ECC.2017.8305799 | https://sci-hub.mksa.top/10.1109/JEC-ECC.2017.8305799 | https://corona2inspect.net/wp-content/uploads/2022/01/Zainud-Deen-SH-2017-10.1109JEC-ECC.2017.8305799.pdf
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12/31/21 Evidence Roundup

Bluetooth From the Grave

This video illustrates another method of detecting anomalous MAC addresses. 
Link to grave survey in Finland on Telegram

Multiple Grave Survey

Jane Ruby - Self Assembling Nano Circuits Video

Must View on Telegram

Dr Jane Ruby - Self assembling Nano Circuits

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Enter your text here...

Fauci 2019 Testimony

This is a long laid plan. 

NIAID Response: NIAID has prioritized research to develop state-of-the-art vaccine platform technologies that could be used to develop universal influenza vaccines, as well as to improve the speed and agility of the influenza vaccine manufacturing process. These platform technologies include DNA, messenger RNA (mRNA), virus-like particles, vector-based, and self-assembling nanoparticle vaccines. NIAID-supported scientists are investigating an mRNA vaccine candidate that would allow for a more rapid and flexible response to both seasonal and pandemic influenza than do existing vaccine production strategies. NIAID’s developments of vaccine platform technologies that significantly reduce the time to production for novel vaccines, including development of a universal influenza vaccine, are crucial to decreasing the response time in the event of a future pandemic.

Source PDF Document with images above

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Spooky Patent about Injectable Devices

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Evidence of Weaponized Comm Tech

The video below illustrates at least that communication tech companies are complicit in harm. The notion that they would boost harmful radiation to consumers of specific content illustrates:

  1. Premeditated - complex implementation
  2. Targeted to specific consumers
  3. Intent to Harm customers
  4. Directed at specific consumers with behaviors around undesirable ideology.


This evidences that communications companies are active participants in the malevolent agenda. 

Now, ask yourself...

Would they resist the urge to 5G as a weapons platform?
Is there a business reason to invest billion$ in better internet?  

Let's think about what this means...

  1. Somebody scored video content with message undesirability;
  2. Somebody with an agenda decided what "undesirable" means;
  3. Somebody programmed the radios to crank-up the Radio Frequency Emissions, RFE,  for this undesirable content;
  4. That somebody  knows RFE is harmful;
  5. That somebody intends to harm specific consumers;
  6. That somebody is acting consciously to harm a customer;
  7. This harm is clearly premeditated;
  8. This intentional harm fits the legal definition of assault;
    1. It is a matter of legal debate whether the RF is intended to kill the consumer (deadly weapon)
    2. But what about 5G - Is it intended to kill?


This is a rabbit hole. Make no mistake communications tech is intentionally deployed as a biological weapon. The controllers are committing premeditated acts of harm.

Mik Anderson Interview

Source Document - Mik Anderson Interview Transcript
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SGT Report - Melissa McAtee

Source Document - Mik Anderson Interview Transcript
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La Quinta Columna Artifact Paper (spanish PDF)

Source Document


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US Patent No. 9,833,643