About BERM
An open research programme connecting physical conditions, biological regulation, motivation and interaction to population and civilizational change.
One model, from physical conditions to civilization
BERM explains how electromagnetic conditions, acting through biological receivers and their changing state, propagate into endocrine coordination, neural function, motivation and action. Interactions among individuals then produce population patterns, institutions and long-term civilizational dynamics.
The same biological state helps determine both what a person can do and what feels rewarding, effortful or worth pursuing. Deliberation, expressed reasons and learning belong to this process and feed back into later choices. The model follows these links through shared state variables, timing, distributions and interaction.
The explanatory model spans this whole chain. Its reproductive calculations are specific applications: they connect organ function, couple outcomes and demographic terms to age-specific fertility and TFR. FieldState supplies measurements and estimates of the upstream physical state. The physics section identifies the Lindgren premise, its geometric consequences and the explicit receiving bridge used to continue into biology.
How to read the model and its evidence
Follow the physical-to-civilizational explanation, then inspect how each transition is supported. These three questions keep the reading path and the role of a study clear.
- Explanatory level
- Physics → biology → behavior → civilization locates the phenomenon in the model. It describes the order of explanation, not a ranking of certainty.
- Origin of the conclusion
- Distinguish a stated premise, a consequence derived from it, a measured finding and a synthesis that connects several findings.
- Role of the study
- Identify the measured link, study design and biological system. Then ask whether the result informs structure, direction, magnitude, timing or transfer to another setting.
The reproductive calculation routes
One BERM application connects documented physical field conditions, organ function and couple outcomes to age-specific fertility patterns. The published v17 calculations are a versioned reproductive application within the wider explanatory model.
It does not treat mobile subscriptions as an EMF dose, and it does not infer an individual biological effect from a country TFR series. The upstream Lindgren formulation is a theory-level premise that motivates testable field-state features; it is not a population-effect estimate.
Working principles
- 01Measured inputs before calibration. A v2 endpoint estimate requires a documented FieldState, organ transfer, biological or couple endpoint, parameter/evidence IDs and a pre-specified mapping.
- 02Evidence is attached to the link it supports. A cellular, animal, in-vitro or systematic-review finding may support a bounded route segment. It is never silently promoted into a human TFR coefficient.
- 03ASFR before TFR. TFR is a period sum of age-specific fertility rates. Demand and opportunity, timing, and ART/live-birth outcomes remain named calculation terms. BERM continues their explanation through biological motivation, interaction and action.
- 04Results are versioned and reproducible. The active route, evidence register and data-status rules state the measurement and interpretation conditions attached to each result.
- 05Open, adversarial testing. The project prioritises pre-specified measurements, sham and thermal controls, independent replication, held-out periods and publication of negative results.
Current status
BERM v17 retains its published scalar-proxy forecasts. FieldState v2 is a separate measurement module and has no calibrated country-level route because a matched FieldState–biomarker–couple–ASFR panel has not yet been assembled.
Deep history: why Northern Europe first?
Between 10,000 and 6,000 years ago, a cluster of traits co-selected in Northern European populations: blue eyes (OCA2 mutation), lactose tolerance (LCT persistence), and cattle husbandry. All three optimise the same molecule — cryptochrome — through different pathways. Blue irises transmit more short-wavelength light to retinal CRY1. Dairy-derived riboflavin (B2) sustains the FAD chromophore that CRY requires for magnetic sensitivity. Cattle husbandry provided the selective pressure for both.
BERM formalises this as the Northern Package: a population-level profile of candidate biological moderators. The repeated χ labels across molecular, optical, cellular, environmental and population scales are modelling shorthand, not one biological selection rule derived from Lindgren geometry. The hypothesis is that electrification reveals population heterogeneity through an endpoint-specific response kernel; its sign, scale and calibration remain open.
This framework generates falsifiable predictions: populations with high biological χ profiles (Scandinavian-origin) should show steeper TFR decline at equivalent EMF exposure than populations with low profiles (Sub-Saharan African-origin). The Amish–Mennonite gradient and the COVID work-from-home baby bump provide natural experiments.
The Northern Package hypothesis is rated L* (novel, falsifiable). OCA2 + LCT co-selection is established (E-level); the cryptochrome interpretation is the novel, testable extension.
Licensing and data
Code: MIT License. Use, modify and distribute the model code under the license terms.
Documentation: CC BY-4.0 unless a source page states otherwise.
Data: Third-party datasets retain their own licences and provenance. Derived tables label their source and intended analytical use.
Contribute or challenge the model
Useful contributions include measurement datasets with provenance, endpoint studies, source corrections, preregistered replications, competing causal models and code review. Please report both supporting and non-supporting results.
Author
Otto Juote
- MSc Biomedicine, Bioscience and Society — London School of Economics
- BA Political Science — University of Helsinki
Independent researcher. No university affiliation, no industry funding, no grant obligations.
Contact: otto.o.juote@proton.me