Poster E2 — Rod Snake: My Pandemic MegaDEATH — Detailed Modeling

A 3x4ft visual poster presenting detailed pandemic modeling with Evolvix simulations (PandemicSociety101 Scenarios 1-2), Slow-Motion Explosion curves, ASHA Places Model for Populations, Signal Transduction Cascades (Work-Logic Cascades), and the ReRafts data architecture for saving vital info in datageddon floods.

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Poster E2 — Snake Pandemic Details — PDF (9.4 MB) — 1-page poster (3 x 4 ft), Jonah License with CC0 Public Domain

Filename: poster-e2-details-of-snake-pandemic-modeling-iv_llol_qqv2r1p0_2025m10d02-3x4ft.pdf

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— Overview AI-generated by dv_ClaOp46Max_MMv2_2026m04d02 —Start—

Abstract

Poster E2 presents the technical details behind Poster E’s pandemic claims. The title “Rod Snake: My Pandemic MegaDEATH” signals this as the companion deep-dive.

The poster is organized in a grid of panels:

Top row (F1-F3, Z1-Z2): “A PandemicPrep Fail Disaster” (F1) shows how the pandemic preparation system failed. “The Story of Jonah, rebooted” (F2) maps the Jonah narrative to pandemic response. “Armageddon research” (F3) connects to ResearchCity. Z1-Z2 present “My Crime vs Reality killed gentle kind reasonable” with 7 points of self-indictment and “9 Rules for Supercomputers between Ears.”

Middle rows (F4-F17): Detailed simulation plots including “PandemicSociety101 Scenario 1” and “Scenario 2” infection curves (Susceptible, Infected, Rejected, Removed stages), Slow-Motion Explosion curves on log-scales, “People Killed by Virus Pandemic” comparisons, and “waves of death for each infection stage.” Panel F14 emphasizes: “Testing is key to escape linear fooling traps.”

Right column: “Who Dares Wins by following Reality in 9 Rules” and the ASHA Places Model for Populations with geographic transmission modeling. The Signal Transduction Cascades (Work-Logic Cascades) show how weak signals amplify across linked levels in organizations.

Bottom section: “Virus Class works” mechanisms, population genetics principles (Recombination, Mutation, Selection, Drift, Migration), the ReRafts architecture (Research Encouraging Resilient Adaptable Filing Transporter System) for saving vital info in datageddon floods, and the Evolvix compiler vision for democratizing modeling decisions.

The closing: “~10% of humanity will work ~50% in BioReasoning … aided by ResearchCity’s 1600 Stadia Talents to Move all Gloom to Glory!”

Key Concepts at a Glance

PandemicSociety101	Two detailed simulation scenarios with infection curves, death rates, and containment vs uncontrolled spread comparisons
Slow-Motion Explosions	Log-scale visualizations showing how pandemic curves resemble slow-motion explosions when viewed on appropriate timescales
ASHA Places Model	Geographic population model for pandemic transmission across linked places with varying characteristics
Signal Transduction Cascades	Work-Logic Cascades showing how weak signals amplify (or fail) across organizational levels — applied to pandemic response
ReRafts	Research Encouraging Resilient Adaptable Filing Transporter System — data architecture for floods of information
Evolvix	The compiler for democratizing life-giving modeling decisions, simplifying gentle kind reasonable accuracy for ZION-compatible forecasts
Population Genetics	Recombination, Mutation, Selection, Drift, Migration — the evolutionary mechanisms driving viral adaptation

Broader Significance (Claude’s Assessment)

This poster is the most technically dense document in the collection. Key observations:

1. Scientific depth. The simulation plots, ASHA model, and population genetics content represent actual scientific modeling work, not just metaphor. This is the evidence base for the claims in Poster E.

2. Multi-scale integration. The poster connects molecular biology (virus mechanisms), population modeling (ASHA), organizational theory (Signal Transduction Cascades), and data infrastructure (ReRafts) in a single visual — demonstrating the interdisciplinary scope of pandemic preparedness.

3. F14 lesson. “Testing is key to escape linear fooling traps” is a methodological insight: exponential processes appear linear on short timescales, and only systematic assessment reveals the true trajectory.

4. ReRafts vision. The data architecture component shows that pandemic response requires not just modeling but robust information infrastructure — “life rafts” for vital data in information floods.

5. Evolvix bridge. The compiler vision connects pandemic modeling to the broader ResearchCity infrastructure, positioning the pandemic response as one application of a general-purpose innovation platform.

Document Information

Document ID	Poster E2 (Flying Scroll)
Full title	Rod Snake: My Pandemic MegaDEATH — Details of Snake Pandemic Modeling
Author	Laurence Loewe of Laodicea (LLoL)
Dates	2025-10-02
Version	iv_LLoL_QQv2r1p0_2025m10d02
Format	1-page wall poster, 3 x 4 ft
License	Jonah License with CC0 Public Domain
Part of	Good News Pack MMv3, Flying Scroll collection
PDF size	9.4 MB
WebP size	567 KB

Related documents in the Good News Pack:

• Poster E — Sign 1 MyGuilt-A (the overview poster for Sign 1)

• Poster F — Sign 2 MyGuilt-B (Sign 2: snow-flaky leprosy)

• SD1 — Nuclear Winter Forecast (the nuclear threat modeling)

— Overview AI-generated by dv_ClaOp46Max_MMv2_2026m04d02 —End—

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Notes

Content stability — Content is variant dv_ClaOp46Max_MMv2_2026m04d02 (see StayVS). Rebuilt 2026-05-18.

Expert Review Needed: Help Assess This Research and Its AI Overview

This page makes accessible one document from LLoL’s 6+ year wid-e research marathon on existential risk and ResearchCity. The PDF linked above is the original work; this page provides an overview.

The original research needs expert review. Download the PDF and bring your expertise to bear — whether you are a scientist, policy maker, theologian, peace activist, or concerned citizen. This research aims to find gentle kind reasonable ways to solve existential problems. Your perspective matters for assessing whether it succeeds.

The AI overview (see the markers) may need correction. AI may have blindly twisted the original message by emphasizing other aspects than the author would have. Important nuances may thus be missed or misrepresented. If you spot errors, missing context, or misplaced emphasis, your corrections help every future reader.

Despite all potential shortcomings of AI, AI was still used here because not saying anything about this document would have been even worse. A race against existential risks is not nuanced. Neither can be the determination to do the right thing - and get the word out to get help.

LLoL is determined to ask for such help. Hence this website to give the world a fair chance at exploring and reviewing LLoL’s ideas.

Use the FeedbackFlow link below to send your review — whether it concerns the original PDF, the AI overview, or both.

LLoL may drown for a while in the FF invited, but if people are indeed interested in making this work and avert accidental nuclear winter, then LLoL predicts that enough people will be happy to pay the about $8/year/person it will take to start scaling up ResearchCity, in order to help with the proper review of such wid-e research proposals for global decision-support like this one.

Hence, please consider that your buy-in with about $8/year will help to shift the global game from a so-called prisoner’s dilemma to an assurance game with the help of mathematical theology.

This work requires global support to avoid capture by special interests. Refining complex posters, engaging scholars across traditions, and running formal consistency checks all require sustained effort — as does scaling up a ResearchCity for global FeedbackFlows.

Let’s hope it’s not too late to fund this work!

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