A draft of my Theory dissemination document
Since I'm just an ordinary guy with no institutional or financial support, I don't have a network that I can disseminate AMM findings through. So my plan is to send emails to select institutions and professionals out there who might be interested. One of them might to pick up the torch. It will have a brief description of AMM and a download link to AMM software, sample registries, and the full manuscript.
Here is the brief description I'm drafting. Would welcome feedback.
The Astro-Mythic Map and the High-Strangeness Event Regime
Executive Brief for Public Release
The Astro-Mythic Map, or AMM, is a symbolic-pattern research program built to test whether the structure of the sky at a given moment can help distinguish meaningful classes of events. Its first major theory-supporting result concerns high-strangeness: UFO events, contact reports, apparitional encounters, apparitional-adjacent episodes, and related anomalous events that appear to break ordinary categories of experience.
The result is straightforward enough to state plainly.
AMM compared forty high-strangeness event charts against thirty-nine fatal-catastrophe control charts. The comparison used a death-vs-anomaly separation test designed to answer a specific question: does high-strangeness merely resemble catastrophe-like rupture without death, or does it have a distinct pattern of its own?
The high-strangeness group separated from the fatal-catastrophe control group in the predicted direction. The high-strangeness mean was 0.287432, while the fatal-catastrophe control mean was 0.188915. This produced a high-strangeness-minus-catastrophe mean difference of 0.098517, with a bootstrap 95% confidence interval for that mean difference of [0.043265, 0.152463]. The standardized effect size was conventionally large, with Cohen’s d = 0.812395. The nonparametric effect size was Cliff’s delta = 0.462821. A one-sided permutation test of the group separation returned approximately p = 0.0002.
A second evidence-gathering run, using the expanded high-strangeness event corpus, compared 73 high-strangeness targets against 40 mundane controls drawn from civic-control events, sports events, and weddings. On the primary mundane-exclusion surface, the high-strangeness mean was 0.308697, while the mundane-control mean was 0.238876. This produced a high-strangeness-minus-mundane mean difference of 0.069821, with a bootstrap 95% confidence interval for that mean difference of [0.034799, 0.107339]. The standardized effect size was conventionally moderate, with Cohen’s d = 0.621872. The nonparametric effect size was Cliff’s delta = 0.318493. A one-sided permutation test of the group separation returned approximately p = 0.0006.
Taken together, the two comparisons bracket high-strangeness between ordinary event-fields and fatal rupture-fields. High-strangeness does not behave like ordinary civic, sports, ceremonial, or scheduled event fields. It also does not collapse into the fatal-catastrophe field. AMM therefore interprets high-strangeness as a distinct anomalous-event regime: closer to rupture than to ordinary eventhood, but not organized around death in the way fatal catastrophe is.
This is the core claim.
The result does not settle the final nature of UFOs, anomalous entities, visionary perception, apparitional experience, or symbolic patterning. It does not prove one ultimate metaphysical explanation. It does show that high-strangeness, treated as a governed set of event charts, can separate from both ordinary mundane-event controls and a severe fatal-catastrophe foil under documented comparison rules.
That makes the High-Strangeness Event Regime AMM’s first provisional theory inside the system.
1. What AMM is testing
AMM tests event charts.
An event chart is not just a story, a report, or an isolated horoscope. It is a structured event record: a date, location, time or timing proxy, source status, event label, and sky-timing chart prepared for comparison.
The governing question is whether different kinds of events show different chart patterns when processed through the same rules. In this case, AMM asked whether high-strangeness events separate from two kinds of controls:
- ordinary or mundane public event fields, such as civic events, sports events, and weddings;
- fatal-catastrophe event fields, where rupture resolves into death, collapse, or irreversible terminal outcome.
Those two comparisons do different work.
The mundane-event comparison asks whether high-strangeness is more than ordinary event volatility. Weddings, sports events, and civic events are real events. They have timing, public structure, social coordination, emotional intensity, and collective participation. But they are not normally rupture-events. If high-strangeness cannot separate from this kind of ordinary event ecology, the AMM claim weakens immediately.
The fatal-catastrophe comparison asks a harder question. Catastrophe is not a weak control. It shares rupture, intensity, shock, extremity, and life-disrupting force with high-strangeness. A weak theory could show that high-strangeness differs from ordinary events. A stronger theory has to show that high-strangeness also differs from something much closer to it.
Fatal catastrophe is that closer thing.
Catastrophe is rupture that resolves into death, collapse, fatality, or irreversible terminal departure. High-strangeness, in the AMM reading, is rupture that does not resolve terminally. It breaks the ordinary frame without becoming organized around death.
The death-vs-anomaly separation test was built around that boundary.
2. The result in plain language
The high-strangeness set did not behave like ordinary events.
It also did not collapse into the catastrophe set.
That is the important point.
In the mundane-control run, the high-strangeness event corpus separated from civic, sports, and wedding controls. This means high-strangeness does not merely look like ordinary public event structure, ordinary social coordination, ordinary celebration, or ordinary scheduled-event intensity.
In the fatal-catastrophe run, the high-strangeness group scored higher on the death-vs-anomaly separation test than the fatal-catastrophe control group. The difference was not tiny. It was supported by a substantial standardized effect size, a substantial nonparametric effect size, a bootstrap interval that stayed above zero, and a permutation result indicating that the observed separation was rare under random relabeling.
In ordinary language: when the labels were tested against the chart scores, high-strangeness behaved like its own event category. It was not ordinary. It was not merely disaster without bodies. It occupied a third position: anomalous rupture without fatal organization.
That is why AMM now treats the High-Strangeness Event Regime as strong enough to support a provisional theory inside AMM.
The result does not claim that every high-strangeness report is factually perfect. It does not require one settled ultimate explanation of UFOs, apparitions, contact experiences, or anomalous perception. It does not depend on deciding in advance whether the events are physical, psychophysical, symbolic, spiritual, technological, folkloric, interdimensional, or something else.
It asks a prior question: does the governed event set show a repeatable chart-pattern distinction?
In these runs, it does.
3. Why the result matters
The result matters because it gives high-strangeness a formal research foothold.
High-strangeness is usually discussed through narrative, belief, disbelief, witness credibility, ultimate explanation, folklore, psychology, spirituality, or cultural meaning. Those are all important. But AMM approaches the subject from another angle: chart-based event comparison.
The question becomes less “What exactly was the object, being, apparition, or experience?” and more “Does this class of reports behave like a coherent event category when compared against ordinary controls and severe adjacent controls?”
That shift is useful because research can begin before the final explanation is settled. UFOs, contact encounters, apparitional episodes, visionary eruptions, and other anomalous events may eventually require different explanations. But AMM can still test whether the event set as a whole carries a distinctive sky-timing structure.
The mundane-control result matters because it pushes back against the idea that high-strangeness is only ordinary event noise. If high-strangeness separated only from catastrophe, critics could argue that the comparison was too specialized. The mundane result adds a wider baseline: high-strangeness differs from ordinary daily-event structure.
The catastrophe-control result matters because it pushes back against a different objection: that high-strangeness might simply be crisis-field intensity without death. Catastrophe is the stronger foil because it shares rupture. By separating from fatal catastrophe, high-strangeness does not merely appear unusual. It appears specifically anomalous.
If the result holds, high-strangeness becomes harder to treat as mere narrative residue, random cultural noise, or loose anecdotal accumulation. It becomes a candidate event category.
That does not end the debate. It sharpens it.
4. What AMM means by symbolic pattern
AMM uses the term symbolic pattern carefully.
At the operational level, a symbolic-pattern model is a structured comparison object built from sky-timing data, event labels, derived comparison scores, registry membership, and comparison rules. This is the level directly tested in the current result.
At the theoretical level, symbolic pattern points to the possible reality that the operational model may be tracking: an order in which time, eventhood, meaning, rupture, and sky structure are related in ways not yet fully explained.
The current result supports the operational model. It motivates the theoretical interpretation. It does not finish the ultimate explanation.
That distinction is essential. AMM is not claiming that the statistics alone prove a symbolic cosmos. It is claiming that the operational model has produced results strong enough to justify taking the symbolic-pattern interpretation seriously and testing it further.
The phrase symbolic pattern therefore does not function as decoration. It names the working theory-space in which event classes, sky-timing structure, ordinary events, catastrophic rupture, and anomalous rupture can be compared.
The high-strangeness result is important because it gives that theory-space a first serious pressure test. The model does not only generate poetic readings. It produces separations between event classes. Those separations can be challenged, reconstructed, expanded, or defeated.
That is the point.
5. What AMM inherits from astrology
AMM comes from astrology, but it does not simply repeat inherited astrological claims.
It preserves astrology’s central intuition that time is not merely empty sequence. Moments have structure. Configurations matter. Events may be meaningfully situated within larger sky-timing patterns.
AMM turns that intuition into a research architecture.
Instead of asking whether a single chart feels meaningful, AMM asks whether classes of event charts separate under formal comparison. Instead of relying on interpretation alone, it builds registries. Instead of treating every interesting pattern as confirmation, it uses control groups. Instead of protecting symbolic claims from failure, it defines what would weaken or defeat them.
This is astrology re-entered through testability.
Not horoscope astrology. Not personality typing. Not prediction by assertion. A symbolic-pattern research program built from astrology’s deeper concern with time, structure, and event meaning.
That distinction matters for public release. AMM does not ask readers to accept traditional astrology in advance. It asks them to inspect whether a governed sky-timing model can distinguish event classes under comparison.
The high-strangeness result is the first major case where the answer appears to be yes.
6. How AMM uses control group charts
AMM’s strongest claims depend on control-group design.
A target class becomes more meaningful when it survives comparison with classes selected to challenge it. In this case, high-strangeness was challenged in two different ways.
The mundane controls ask whether high-strangeness is distinguishable from ordinary eventhood. Civic events, sports events, and weddings are useful because they are structured, timed, public or semi-public, emotionally meaningful, and socially legible. They are not non-events. They are ordinary event-fields with real organization.
High-strangeness separated from that baseline.
The fatal-catastrophe controls ask whether high-strangeness is distinguishable from rupture. This is the stronger and more adjacent test. Catastrophe shares intensity, shock, disruption, and extremity with high-strangeness. But catastrophe is terminally organized. It resolves into death, fatality, collapse, or irreversible departure.
High-strangeness separated from that foil as well.
This gives the result its bracketed structure:
ordinary event-fields are on one side;
fatal-catastrophe fields are on the other;
high-strangeness occupies a distinct position between them.
That is why the current result has promotion force inside AMM. The high-strangeness set did not merely win against a convenient control group. It separated from ordinary controls and survived a severe adjacent comparison.
Future tests should make the challenge harder, not easier. The next step is not to protect the result. It is to test it against larger mundane controls, larger catastrophe sets, near-neighbor anomalous control groups, blinded relabeling, timing perturbation, leave-one-out checks, source-family audits, and alternative chart representations.
The theory advances by surviving better attacks.
7. What would weaken the claim
The High-Strangeness Event Regime would weaken if the result cannot be reconstructed from the disclosed materials.
It would weaken if expanded mundane controls erase the high-strangeness-versus-ordinary separation.
It would weaken if expanded catastrophe controls erase the death-vs-anomaly separation.
It would weaken if near-neighbor anomalous categories show that high-strangeness is not distinct from anomalous eventhood more broadly.
It would weaken if blinded label audits show that the target and control categories are unstable.
It would weaken if timing perturbation dissolves the result.
It would weaken if source-family differences explain the separation better than event-family structure.
It would weaken if leave-one-out analysis shows dependence on one or two extreme cases.
It would weaken if the mundane-exclusion surface cannot be reconstructed.
It would weaken if the death-vs-anomaly separation test cannot be reproduced.
It would weaken if the predeclared or documented status of the comparison rules cannot be supported by the protocol record.
These are not side issues. They are the theory’s public exposure points.
AMM’s goal is not to avoid them. AMM’s goal is to make them exact.
The stronger the claim becomes, the more precise its failure conditions must become.
8. The public validation path
The next phase is straightforward.
The full manuscript should be released with a public evidence package: the executive brief, one-page précis, appendix materials, corpus summaries, result memos, protocol notes, replication roadmap, and any shareable technical materials needed for inspection.
The release should be stable, citable, and easy to navigate. The project should have a public archive, ideally with DOI-backed records, and a curated repository that explains what each artifact is for.
The repository should not be a dump of files. It should be an argument map.
A first-time reader should be able to see:
- what AMM is;
- what the High-Strangeness Event Regime claims;
- what the fatal-catastrophe comparison shows;
- what the mundane-control comparison shows;
- what files document the high-strangeness corpus;
- what files document the mundane controls;
- what files document the catastrophe controls;
- what files document the statistical protocols;
- what files document the decision-freeze or comparison-rule record;
- what remains unproven;
- how to challenge the result;
- how to cite the work.
The outreach strategy should match that architecture. The full manuscript is for deep readers. The brief is for first contact. The précis is for rapid orientation. The evidence dossier is for critics. The repository is for public scrutiny. Social media should route attention toward the archive, not replace it.
The public claim should stay disciplined:
AMM is not saying that the statistics prove what UFOs are.
AMM is saying that high-strangeness event-fields can be tested as a governed event category, and that the current evidence shows separation from both ordinary events and fatal catastrophe.
That is enough.
9. Compact statement
The Astro-Mythic Map is a symbolic-pattern research program that tests whether sky-timing structure can distinguish event categories. Its first provisional theory inside AMM is the High-Strangeness Event Regime. In the decisive comparison, forty high-strangeness event charts separated from thirty-nine fatal-catastrophe control charts on a death-vs-anomaly separation test. In a supplemental evidence-gathering run, an expanded corpus of seventy-three high-strangeness targets also separated from forty mundane controls drawn from civic events, sports events, and weddings. Taken together, these results suggest that high-strangeness is neither ordinary event volatility nor fatal catastrophe. It appears to occupy the rupture side of the event-field spectrum while remaining distinct from death-organized catastrophe. The claim remains externally unfinished. Its next burden is public replication, criticism, and defeat-testing.