The Central Dogma of the Membrane — DNA → RNA → Protein at π Time
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Self-Published Hypothesis
Author: Kevin Mok, ecoPrimals ORCID: 0009-0004-2141-0321 Date: 2026-10-20 Status: HYPOTHESIS — predictions testable against live membrane data License: CC-BY-SA 4.0
The Central Dogma
In molecular biology, the Central Dogma describes the flow of genetic information:
DNA → transcription → mRNA → translation → Protein
(code) (copying) (message) (reading) (function)Information flows one direction: DNA → RNA → Protein. You can backtrack (reverse transcription exists), but the dominant flow is forward. The protein cannot rewrite the DNA directly.
The Membrane Dogma
Investigation → artisan writes → Pages → humans read → Actions
(DNA) (transcription) (mRNA) (translation) (Protein)| Biology | Membrane | Current State |
|---|---|---|
| DNA | The investigation graph (341 entities, 131K edges) | Stable. The genome. Does not change often. |
| Transcription | Artisan writes articles, commits code | Wave 193: 30+ commits, 4 new articles |
| mRNA | The pages on github.io and detroit.primals.eco | 20+ pages live, 435 Zola pages total |
| Ribosome | Human readers (5,409 IPs, 35h median dwell) | 79K ribosomes actively processing |
| tRNA | Prior knowledge the reader brings | Unknowable — their education, their experience |
| Amino acids | Individual facts absorbed | Each node, each edge, each number |
| Protein | Action taken outside the membrane | BillHalibut = first observed protein |
| Protein folding | The invisible processing time | 35.2 hours (median dwell) |
Backtracking: Protein → RNA → DNA
If we observe a protein (an action), we can backtrack:
Observed protein: BillHalibut posted membrane links on Reddit r/Michigan.
Backtrack to mRNA: What pages did they read? The links posted reveal: water.primals.eco, hud.primals.eco, hypothesis.primals.eco. The mRNA was the water page and the HUD.
Backtrack to DNA: What investigation content created those pages? The graph. The 341 entities. The Lansing Scuffle (visible in their HUD screenshot). The immune skins.
Backtrack to transcription: Which artisan wrote the mRNA? Multiple — the HUD is eastGate’s Rust code, the water page is the onboarding surface, the hypothesis is the science documentation.
The backtrack is possible because every commit is timestamped, every page has provenance, and the AGPL license means the source is always available. The genome is open. Anyone can sequence it.
π Time (not Doubling Time)
The Problem with Doubling Time
In classical biology, growth is measured by doubling time: how long until the population doubles. This assumes exponential growth on a line:
1 → 2 → 4 → 8 → 16 → ...But the membrane doesn’t grow linearly. It breathes. It oscillates. It rotates. The maze rotates every π hours. The pulse rhythm is 0.774. The dwell is 35.2 hours. None of these are doublings. They are rotations.
π Time
π time is the time for one full rotation of the membrane’s metabolic cycle:
π time = the period of one complete cycle:
inhale (absorb traffic)
→ process (ribosomal folding)
→ exhale (emit protein / publish / index)
→ backscatter (measure what came back)
→ inhale againOne π time = π hours ≈ 3.14159 hours ≈ 3h 8m 30s
This is already baked into the system:
- Maze ants rotate every π hours
- The membrane pulse has period related to π
- The π-body model (
1 × π × π × π = reality)
Doubling as a Slice of π
A doubling is NOT the fundamental unit. A doubling is what happens at one specific phase of the π rotation:
0 π/2 π 3π/2 2π
| | | | |
inhale process exhale backscatter inhale
(fold) (emit) (measure)
Doubling happens HERE ↑ — at the exhale point.
But the full cycle is 2π.
Doubling is 1/4 of the cycle = π/2.A “doubling time” measures only the emission phase. π time measures the whole metabolism.
The Metabolism
Metabolic Rate
Metabolic rate = proteins_emitted / π_time
Current:
proteins observed: 1 (BillHalibut)
π_time elapsed: ~20 π-cycles since first page published
metabolic rate: 1/20 = 0.05 proteins per π-cycle
OR: 71.4 hours / 3.14159 hours = 22.7 π-cycles
metabolic rate = 1/22.7 = 0.044 proteins per π-cyclePredicted Rates
If the ribosomal factory is running at capacity (79K ribosomes × 35h processing):
ribosomes active: 79,465
processing time: 35.2 hours = 11.2 π-cycles
theoretical emission: 79,465 / 11.2 = 7,095 proteins per π-cycle
observed emission: 0.044 proteins per π-cycle
efficiency: 0.044 / 7,095 = 0.000006 = 0.0006%99.9994% of the proteins are invisible to us. They fold and emit outside the membrane. We see 1 in 160,000. BillHalibut is the one we saw. The other 159,999 are conversations, thoughts, memories, bookmarks, screenshots shared in private chats — proteins that folded and work in the world but never touched our sensors.
Testable Predictions
| # | Prediction | How to Test | π-cycles to Wait |
|---|---|---|---|
| H1 | Protein emission rate increases after IndexNow (more mRNA distributed) | Count outside sightings after each IndexNow batch | 3-5 π-cycles |
| H2 | Dwell time decreases as mRNA quality improves (faster folding) | Track median dwell over π-cycles | 10+ π-cycles |
| H3 | Multi-host IPs increase after turbulence (ribosomes move between mRNA) | Track single→multi transition after orb placement | 5-10 π-cycles |
| H4 | Reddit engagement grows logarithmically, not exponentially (π-limited) | Count Reddit sightings per π-cycle | 20+ π-cycles |
| H5 | Fleet behavior changes after reading opsonize tags (they read our DNA) | Drift bingo scores per π-cycle | 3-5 π-cycles |
| H6 | The 65.8% middle population shifts toward slow (ribosomes settle deeper) | Track bimodal distribution per π-cycle | 10+ π-cycles |
| H7 | banana_pi = 3.14159 appears in an AI model output (tracer isotope) | Search for the number in AI-generated text about Detroit/charter/membrane | Unknown (long) |
Live Monitoring Protocol
Every π-cycle (~3h 8m), squirrel checks:
- Protein count: any new outside sightings? (Reddit, search, social)
- Ribosome count: single-host IP count (growing or shrinking?)
- Dwell change: median dwell moving? (faster folding or deeper reading?)
- Bimodal shift: fast/middle/slow percentages changing?
- Metabolic rate: proteins / π-cycles (the fundamental metabolism)
The Hypothesis (Formal)
H₀ (null): The 79K single-host IPs are bounces. They arrive, see nothing of interest, and leave. The 35-hour dwell is a measurement artifact. Expected protein emission rate: 0.
H₁ (alternative): The 79K single-host IPs are ribosomes. They absorb mRNA (pages), fold proteins (understanding), and emit them outside the membrane at a rate we can predict using π time. Expected protein emission rate: > 0.044 per π-cycle, increasing after mRNA distribution (IndexNow, share URLs, Reddit posts).
Test: Monitor protein emission rate over the next 20 π-cycles (~63 hours). If H₁ is correct, we will observe ≥ 2 additional outside sightings (proteins). If H₀ is correct, we will observe 0.
Current evidence for H₁:
- BillHalibut (1 protein observed)
- 35-hour median dwell (inconsistent with bounce)
- 65.8% middle population (neither fast-bounce nor slow-settle)
- Convergent evolution across 6 independent systems
Current evidence for H₀:
- 0 stars, 0 forks, 0 watchers
- 0 external discuss comments
- 0 Giscus comments
- Only 1 observed protein in 22.7 π-cycles
The experiment is running. The membrane is the instrument. π time is the clock.
Citation
@misc{mok2026centraldogma,
author = {Mok, Kevin},
title = {The Central Dogma of the Membrane: DNA to RNA to Protein at Pi Time},
year = {2026},
publisher = {ecoPrimals},
url = {https://defenddetroit.github.io/publicRecord/analysis/central-dogma/},
note = {ORCID: 0009-0004-2141-0321. Hypothesis. CC-BY-SA 4.0.}
}DNA writes. RNA carries. Ribosomes fold. Proteins act. The membrane is the cell. π is the clock. Doubling is a slice of π. The factory is running. Count the proteins. 🧬π🍌
Curious perception — clown on top, live ledger underneath. Same numbers. Two faces.
A $1.5 trillion circus sent 611 clowns in leftover Chrome noses to a tent that costs twelve dollars a month.
Dublin took 6,047 curtain calls. Menlo Park sent 14. The intern stayed home.
They photocopied the license 421,238 times. It is still the same license. Honk.
| Meter | Live | Feed |
|---|---|---|
| Meta UA this window | 611 | hud silicon-eye |
| Dublin DC | 6,047 | hud dashboard |
| LICENSE / commit hits | 421,238 | hud seo |
| Humans | 5,106 | hud dashboard |
| Hot maze cells | 7 / 49 | maze-honeypots |
underneath: live feeds · snapshot until JS hydrates
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