Home  •  Intra Body Nano Network – Part 5/5 (Selective genocide)

Intra Body Nano Network – Part 5/5 (Selective genocide)

on May 2, 2023 IN Graphene
5G / ELF / EMF Carbon Nanotubes (CNT) democide Depopulation (NWO) Digital ID Elon Musk (Tesla - Starlink - Neuralink -SpaceX - YGL) Graphene IEEE (BigTech) Marxism Mik Andersen (pseudonym) Nanotechnology New World Order Prof Ian Akyildiz (wireless sensors) Quantum dot Ricardo Delgado Martin (Biostatistician-Graphene-Whistleblower) slavery Synthetic Biology transhumanism World Economic Forum (WEF - NWO)
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Part 5 of 5 of the Intra Body Nano Network by Mik Andersen. Part five continues hypothesizing if this technology is in us, what it could be used for on a more devastating level regarding population control, selective genocide, and eugenics. This post also contains the references he listed in his presentation.

Intra-body nano-network – Part 5 of 5 – Possible Uses: Social Credit System, Eugenics, Targeted traceless weapon

Rumble

3.) Possible Consequences, Applications and Uses (Continued from Part Four)

  • 5.) The individual as livestock. Social Credit System; calculate your value
MikAndersen-Feedstock-SocialCredit-Transhumanism

An intracorporal network would turn the individual into feedstock. (P.B. He says feedstock but I think he means livestock, being that he’s used an auto-translator to make this video from Spanish to English).

This is an inexhaustible source of information, generating data to be recorded, evaluated and processed for social, economic, scientific and political use. Perhaps partly for this reason, inoculated individuals could receive a universal minimum income in exchange for handing over the data they may generate in the course of their lives. However, becoming a source of information subject to continuous monitoring would make it possible to calculate or weight the value of each person according to their capabilities, their capacity for thought, reasoning, analysis, behaviour, and loyalty to the system, and thus determine which people are more suitable, profitable and beneficial to society.

This coefficient, which would measure the value of a person, could be used to determine his success in society and in life, as well as to decide his destiny, an aspect that links to the following application use, or rather consequence of the intracorporal network.

  • 6.) Population reduction. Selective Genocide/Eugenics.
MikAndersen-Depopulation

According to the Neo-Malthusian thesis, the intracorporal network would make it possible to know the value of each person and determine what part of the population should be eliminated. (01) (02) (03) (04)

(Presupposing that there is an excess population that cannot be maintained that reduces the resources available for the part of the population that is productive and of greater added value.)

This would mean the most absolute reification of the human being, denying all spirituality and freedom that are proper to people by the mere fact of existing. (05)

By obtaining a cut-off figure, all those people who do not exceed the established threshold could be gradually eliminated also by means of the intracorporal network itself, as explained below.

  • 7.) Elimination.
MikAndersen-Targeted-Deaths

An intracorporal network can not only operate in the neural environment, but also in the cardiovascular system and especially in the heart.

If the right signals are received, an artificial alteration in the heart rhythm could be triggered, which would trigger arrhythmias and henceforth heart attacks.

An electric shock to the brain tissue at the right intensity and in the right location could cause fainting, loss of balance and unconsciousness, with the intended danger to the person.

Therefore, based on the bidirectionality stated in the literature on intracorporal networks, it is not unreasonable to think that signals could also be received that could trigger the disorders and conditions that lead to the elimination of the person.

This ability to be able to eliminate a person who is either unprofitable in the “New World Order” or who does not accept the approaches desired by the elites, or who is part of the dissidents or opposition, is extremely clean, leaves no traces of the crime, and is particularly effective in maintaining control and power over the population.

Bibliography

Intra-body nano-network – REFS ONLY

Rumble

His references are always very interesting, I remember going through many of his references in the past, and I’ve just downloaded 41 of his reports to go through and when looking up each reference in the video, I downloaded about 32 different things to read, so it will take me a while to figure out which ones to single out and share. Seems all of them are pretty important to learn about.

The first one he lists at the end of the video for example, is this one “This paper introduces a class of programmable metamaterials, whose electromagnetic properties can be controlled via software. These software defined metamaterials (SDMs) stem from utilizing metamaterials in combination with nanonetworks. Metamaterials are artificial structures with properties that may not be found in nature.” (06)

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  2. Abbasi, QH; El-Sallabi, H.; Chopra, N.; Yang, K.; Qaraqe, K. A.; Alomainy, A. (2016). Terahertz channel characterization inside the human skin for nano-scale body-centric networks. IEEE Transactions on Terahertz Science and Technology , 6 (3), pp. 427-434. https://doi.org/10.1109/TTHZ.2016.2542213
  3. Abbasi, QH; Nasir, AA; Yang, K.; Qaraqe, K. A.; Alomainy, A. (2017). Cooperative in-vivo nano-network communication at terahertz frequencies. IEEE Access , 5 , pp. 8642-8647. https://doi.org/10.1109/ACCESS.2017.2677498
  4. Abd-El-atty, SM; Heddles, K.A.; Gharsseldien, ZM; Tolba, A.; Makhadmeh, ZA (2018). Engineering molecular communications integrated with carbon nanotubes in neural sensor nanonetworks. IET Nanobiotechnology , 12 (2), pp. 201-210. https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-nbt.2016.0150
  5. Akyildiz, IF; Jornet, JM; Pierobon, M. (2010). Propagation models for nanocommunication networks. In: Proceedings of the Fourth European Conference on Antennas and Propagation (pp. 1-5). IEEE. https://ieeexplore.ieee.org/abstract/document/5505714
  6. Aliouat, L.; Rahmani, M.; Mabed, H.; Bourgeois, J. (2021). Enhancement and performance analysis of channel access mechanisms in terahertz band. Nano Communication Networks , 29 , 100364. https://doi.org/10.1016/j.nancom.2021.100364
  7. Alsheikh, R.; Akkari, N.; Fadel, E. (2016). MAC protocols for wireless nano-sensor networks: Performance analysis and design guidelines. In: 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC) (pp. 129-134). IEEE. https://doi.org/10.1109/ICDIPC.2016.7470805
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  11. Bouchedjera, IA; Louail, L.; Aliouat, Z.; Harous, S. (2020). DCCORONA: Distributed Cluster-based Coordinate and Routing System for Nanonetworks. In: 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (pp. 0939-0945). IEEE. https://doi.org/10.1109/UEMCON51285.2020.9298084
  12. Gabay, T.; Jakobs, E.; Ben-Jacob, E.; Hanein, Y. (2005). Engineered self-organization of neural networks using carbon nanotube clusters. Physica A: Statistical Mechanics and its Applications , 350 (2-4), pp. 611-621. https://doi.org/10.1016/j.physa.2004.11.007
  13. Ghafoor, S.; Boujnah, N.; Rehmani, MH; Davy, A. (2020). MAC protocols for terahertz communication: A comprehensive survey. IEEE Communications Surveys & Tutorials , 22 (4), pp. 2236-2282. https://doi.org/10.1109/COMST.2020.3017393
  14. Han, M.; Karatum, O.; Nizamoglu, S. (2022). Optoelectronic Neural Interfaces Based on Quantum Dots. ACS Applied Materials & Interfaces . https://doi.org/10.1021/acsami.1c25009
  15. Hejazi, M.; Tong, W.; Ibbotson, MR; Prawer, S.; Garrett, D.J. (2021). Advances in carbon-based microfiber electrodes for neural interfacing. Frontiers in Neuroscience , 15 , 403. https://doi.org/10.3389/fnins.2021.658703
  16. Hossain, Z.; Vedant, S.H.; Nicoletti, CR; Federici, J.F. (2016). Multi-user interference modeling and experimental characterization for pulse-based terahertz communication. In: Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication (pp. 1-6). https://doi.org/10.1145/2967446.2967462
  17. Hosseininejad, SE; Abadal, S.; Neshat, M.; Faraji-Dana, R.; Lemme, MC; Suessmeier, C.; Cabellos-Aparicio, A. (2018). MAC-oriented programmable terahertz PHY via graphene-based Yagi-Uda antennas. In: 2018 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1-6). IEEE. https://doi.org/10.1109/WCNC.2018.8377201
  18. Kulakowski, P.; Turbic, K.; Correia, L.M. (2020). From nano-communications to body area networks: A perspective on truly personal communications. IEEE Access , 8 , pp. 159839-159853. https://doi.org/10.1109/ACCESS.2020.3015825
  19. Le, TN; Pegatoquet, A.; Magno, M. (2015). Asynchronous on demand MAC protocol using wake-up radio in wireless body area network. In: 2015 6th International Workshop on Advances in Sensors and Interfaces (IWASI) (pp. 228-233). IEEE. https://doi.org/10.1109/IWASI.2015.7184942
  20. Lemic, F.; Abadal, S.; Tavernier, W.; Stroobant, P.; Colle, D.; Alarcon, E.; Famaey, J. (2021). Survey on terahertz nanocommunication and networking: A top-down perspective. IEEE Journal on Selected Areas in Communications , 39 (6), pp. 1506-1543. https://doi.org/10.1109/JSAC.2021.3071837
  21. Lovat, V.; Pantarotto, D.; Lagostena, L.; Cacciari, B.; Grandolfo, M.; Righi, M.; Ballerini, L. (2005). Carbon nanotube substrates boost neuronal electrical signaling. Nanoletters , 5 (6), pp. 1107-1110. https://doi.org/10.1021/nl050637m
  22. Martinelli, V.; Cellot, G.; Fabbro, A.; Bosi, S.; Mestroni, L.; Ballerini, L. (2013). Improving cardiac myocytes performance by carbon nanotubes platforms. Frontiers in physiology , 4 , 239. https://doi.org/10.3389/fphys.2013.00239
  23. Medlej, A.; Dedu, E.; Dhoutaut, D.; Beydoun, K. (2022). Efficient Retransmission Algorithm for Ensuring Packet Delivery to Sleeping Destination Node. In: International Conference on Advanced Information Networking and Applications (pp. 219-230). Springer, Cham. https://doi.org/10.1007/978-3-030-99587-4_19
  24. Menard-Moyon, C. (2018). Applications of carbon nanotubes in the biomedical field. In: Smart nanoparticles for biomedicine (pp. 83-101). Elsevier. https://doi.org/10.1016/B978-0-12-814156-4.00006-9
  25. Mezher, MA; Din, S.; Ilyas, M.; Bayat, O.; Abbasi, QH; Ashraf, I. (2022). Data Transmission Enhancement Using Optimal Coding Technique Over In Vivo Channel for Interbody Communication. Big Data . https://doi.org/10.1089/big.2021.0224
  26. Nussenbaum, K.; Cohen, AO (2018). Equation Invasion! How Math can Explain How the Brain Learns. http://doi.org/10.3389/frym.2018.00065
  27. Bread, K.; Leng, T.; Song, J.; Ji, C.; Zhang, J.; Li, J.; Hu, Z. (2020). Controlled reduction of graphene oxide laminate and its applications for ultra-wideband microwave absorption. Carbon , 160 , pp. 307-316. https://doi.org/10.1016/j.carbon.2019.12.062
  28. Piro, G.; Bia, P.; Boggia, G.; Caratelli, D.; Grieco, LA; Mescia, L. (2016). Terahertz electromagnetic field propagation in human tissues: A study on communication capabilities. Nano Communication Networks , 10 , pp. 51-59. https://doi.org/10.1016/j.nancom.2016.07.010
  29. Rauti, R.; Musto, M.; Bosi, S.; Prato, M.; Ballerini, L. (2019). Properties and behavior of carbon nanomaterials when interfacing neuronal cells: How far have we come?. Carbon , 143 , pp. 430-446. https://doi.org/10.1016/j.carbon.2018.11.026
  30. Rikhtegar, N.; Keshtgari, M.; Ronaghi, Z. (2017). EEWNSN: Energy efficient wireless nano sensor network MAC protocol for communications in the terahertz band. Wireless Personal Communications , 97 (1), pp. 521-537. https://doi.org/10.1007/s11277-017-4517-4
  31. Sarlange, G.; Devilger, J.; Trillaud, P.; Fouchet, S.; Taillasson, L.; Catteu, G. (2021). Project Bluetooth Experience X. https://ln5.sync.com/dl/195df4a10/5ab9apq6-q5vgawam-vgr3ktt9-7zr985rh
  32. Sivapriya, S.; Sridharan, D. (2017). Energy Efficient MAC Protocol for Body Centric Nano-Networks (BANNET). ADVANCED COMPUTING (ICoAC 2017) , 422.
  33. Vavouris, AK; Dervisi, FD; Papanikolaou, VK; Karagiannidis, GK (2018). An energy efficient modulation scheme for body-centric nano-communications in the THz band. In: 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST) (pp. 1-4). IEEE. https://doi.org/10.1109/MOCAST.2018.8376563
  34. Yang, K.; Bi, D.; Deng, Y.; Zhang, R.; Rahman, MMU; Ali, N.A.; Alomainy, A. (2020). A comprehensive survey on hybrid communication in context of molecular communication and terahertz communication for body-centric nanonetworks. IEEE Transactions on Molecular, Biological and Multi-Scale Communications , 6 (2), pp. 107-133. https://doi.org/10.1109/TMBMC.2020.3017146
  35. Yin, P.; Liu, Y.; Xiao, L.; Zhang, C. (2021). Advanced Metallic and Polymeric Coatings for Neural Interfacing: Structures, Properties and Tissue Responses. Polymers , 13 (16), 2834. https://doi.org/10.3390/polym13162834
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I also directly transcribed, looked up, and referenced and found the English PDF for every reference he singled-out in the video throughout the 5 parts of this blog series.

A few more places you can get references:

  • Download Intra-body nano-network – Brief Summary by Mik Anderson: https://docdro.id/tvx0R9b
    • PDF summarizes everything he went through in the video (and more)
  • The Bibliography for the documentary “BlueTRUTH” lists most of Mik Andersen’s references. PDF
  • Mik Andersen’s website has been hacked (corona2inspect.net – don’t go there) but you can download all the PDF’s of his research until someone let’s us know if there are any new updates and whether he is still around (Mik Andersen disappeared April 2022, and Orwell.city went incognito March 2022, which is really worrying considering what happened to 2 other graphene whistleblowers – both “died suddenly” – Dr. Andreas Noack & Dr. Domenico Biscardi), but Prof Campra and La Quinta Columna are still around, although Prof Campra hasn’t updated his research since Feb 2022 (but he has been appearing in La Quinta Columna videos), and whoever is Mik Andersen really is – he might be one of the La Quinta Columna guys anyway (since it’s a fake name).
  • 167 References from La Quinta Columna is listed on this post (Mik Andersen collaborates with La Quinta Columna and Dr. Pablo Campra’s research under a pseudonym)
  • A lot of his first blog (before it was removed) and website (before it was hacked) can still be accessed via Archive.org in Spanish. 2021-C0r0n@2Inspect | 2022-corona2inspect.net

References[+]

Penny (PennyButler.com)
Penny (PennyButler.com)

Truth-seeker, ever-questioning, ever-learning, ever-researching, ever delving further and deeper, ever trying to 'figure it out'. This site is a legacy of sorts, a place to collect thoughts, notes, book summaries, & random points of interests.

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