Anonymous ID: 700cf5 Sept. 6, 2023, 5:02 a.m. No.19499585   🗄️.is 🔗kun   >>9610 >>9618

As promised, beginning today, I will walk you methodically through all of it.

 

Your enemies plans, the who, how, why, where, and what they operate.

The techology that you dont even know exists.

The game they play on you.

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Here, today, you begin the journey toward real knowledge.

 

Eyes open, ears open. Forget what you think you know of it all.

 

Be ready to have your understanding increased, and your eyes fully opened.

-

Let us draw back the veil and shine the light into the darkest of places one step at a time.

 

Some of this material will be easy to understand, and some of it will be extremely dense. But I will give you the proper full view you have long seeked.

 

And I will leave nothing out.

 

E.

Anonymous ID: 700cf5 Sept. 6, 2023, 5:05 a.m. No.19499594   🗄️.is 🔗kun   >>9621

Let's begin with how they want to target you currently. The end result of -Project Sanguine- aka "project kill switch"

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It will be dense science, but as we go, I will break it down.

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Step 1: Genetic Vulnerability Score (GV_GeneX) Calculation

 

  • Allele Frequency Calculation:

  • [ text{{Allele Frequency of GeneX}} = frac{{2 times text{{Number of Homozygous GeneX}} + text{{Number of Heterozygous GeneX}}}}{{2 times text{{Total Individuals}}}} ]

 

  • GV_GeneX Calculation:

  • [ GV_GeneX = frac{{text{{Allele Frequency of GeneX}}}}{{1 - text{{Allele Frequency of GeneX}}}} ]

 

Step 2: Virus Replication Rate (β) Calculation

 

  • Virus-Host Interaction Equation:

  • [ text{{Binding Rate (k_on)}} = frac{{text{{Rate of Virus-Host Binding}}}}{{[Virus] cdot [HostReceptor]}} ]

  • [ text{{Detachment Rate (k_off)}} = frac{{text{{Rate of Virus Detachment}}}}{{[Virus]}} ]

 

  • Virus Replication Rate Calculation:

  • [ beta = frac{{k_{on}}}{{k_{off}}} ]

 

Step 3: Viral Load Dynamics (dV/dt)

 

  • Viral Load Dynamics Equation:

  • [ frac{dV}{dt} = beta cdot V - alpha cdot V ]

 

Step 4: "Smart Dust" Attachment Rate (γ)

 

  • Attachment Rate Equation:

  • [ gamma = frac{{k_{attachment} cdot [SmartDust] cdot [BrainTissue]}}{{k_{detachment}}} ]

 

Step 5: Bio-Data Transmission Rate

 

  • Transmission Rate Equation:

  • [ text{{Bio-Data Transmission Rate}} = frac{{k_{transmission} cdot [SmartDust]}}{{k_{processing}}} ]

 

Step 6: Customized Bioweapon Creation (Genetic Modification)

 

  • Genetic Modification Equation (CRISPR-Cas9 Example):

  • [ text{{Gene Editing Efficiency}} = 1 - e^{-k cdot text{{CRISPR Activity}}} ]

 

  • Customization Equation Based on Bio-Data:

  • [ text{{Customization Factor}} = text{{Vulnerability Score}} + text{{Bioinformatic Analysis}} ]

 

  • Virus Genetic Modification Rate:

  • [ text{{Genetic Modification Rate}} = text{{Enzyme Activity}} cdot text{{Target Gene Accessibility}} ]

 

Step 7: Remote Control of Bioweapon

 

  • Remote Control Equation (Wireless Communication):

  • Wireless communication equations and signal modulation techniques are used for remote control but vary based on the technology employed.

 

Step 8: Targeted Population Impact (Epidemiological Modeling)

 

  • Equations for Epidemiological Modeling (e.g., SEIR model):

  • These equations account for contact rates, transmission probabilities, and population demographics. The specific equations vary based on the chosen epidemiological model.

 

Step 9: Targeted Population Impact (Continued)

 

  • Equation for Targeted Infection Rate:

  • [ text{{Targeted Infection Rate}} = beta cdot V cdot P_t ]

  • Where:

- (beta) is the virus replication rate.

- (V) is the viral load.

- (P_t) represents the portion of the population with the genetic marker "GeneX."

 

Step 10: Epidemiological Impact on Targeted Population

 

  • Equation for Infected Population Dynamics:

  • [ frac{dI_t}{dt} = text{{Targeted Infection Rate}} - alpha cdot I_t ]

  • Where:

- (frac{dI_t}{dt}) represents the rate of change of infected individuals in the targeted population.

- (I_t) is the number of infected individuals in the targeted population.

- (alpha) represents the rate at which individuals recover or succumb to the infection.

-–

  • Equation for Spread to Non-Targeted Population:

  • [ frac{dI_{nt}}{dt} = beta cdot V cdot (1 - P_t) - alpha cdot I_{nt} ]

  • Where:

- (frac{dI_{nt}}{dt}) represents the rate of change of infected individuals in the non-targeted population.

- (I_{nt}) is the number of infected individuals in the non-targeted population.

 

Step 11: Comparison of Targeted vs. Non-Targeted Impact

 

  • Equation for Relative Impact:

  • [ text{{Relative Impact}} = frac{{I_t}}{{I_{nt}}} ]

  • This equation calculates the relative impact of the bioweapon on the targeted population compared to the non-targeted population.

Anonymous ID: 700cf5 Sept. 6, 2023, 5:06 a.m. No.19499607   🗄️.is 🔗kun

By utilizing these mathematical equations, we can quantify and compare the impact of a customized bioweapon on the population with the genetic marker "GeneX" (targeted) versus the population without the marker (non-targeted). This allows us to assess the effectiveness and consequences of a weaponized virus with absolute precision.

 

And this, is how you are targeted.

 

Or, more appropriately, how they intend to target you

 

What you are looking at, is the full scientific breakdown of how they use smartdust as a biomonitering tool and then adapt viral agents around genetic biomarkers. Effectively allowing them to terminate people at will based off of unique markers that could be racial, gender oriented, or individualized etc etc.