MAHA Policy Inbox โ€” A Living Summary

What's inside the MAHA transition policy inbox ยท an evolving thematic record
๐Ÿ“Œ This is a living document. It is the home for an ongoing read of the ~4,000-message MAHA transition policy inbox โ€” a place to return to the analysis and to record new insights as they surface. The figures below are generated directly from the searchable email index; the interpretation grows over time. Last updated: 2026-05-31 (v1).

The inbox at a glance

4,042
total messages
1,048
unique correspondents
835
with attachments
2,332
direct from individuals
1,710
via policy@ intake (42%)
Nov '24 โ€“ Apr '26
date span

A genuinely citizen-heavy corpus: more than half of all messages (2,332) came directly from individuals rather than the central intake address โ€” the practical basis for weighting citizen voices roughly evenly with credentialed experts.

Volume over time โ€” the transition window

Nov 2024mid 2025Apr 2026

The inbox is a snapshot of the post-election transition: a sharp peak of ~900โ€“990 messages/month from Dec 2024 through Feb 2025, then a long taper through 2025 and only sporadic traffic since. The bulk of the policy input arrived in that three-month window.

What people wrote about โ€” thematic prevalence

Messages mentioning each theme (full-text, including attachment text). Themes overlap โ€” one email can touch several.

RFK / Kennedy / MAHA framing
3527
Federal agencies (FDA/CDC/NIH/HHS)
2657
Food, diet & additives
1352
Integrative & functional medicine
886
Vaccines & vaccine safety
844
COVID-19 / pandemic
668
Chronic disease
657
Big Pharma / industry capture
514
Mental health / psych meds
399
Cancer
393
Supplements & nutraceuticals
330
Childhood vaccine schedule
274
Autism
273
Medical freedom / informed consent
258
Water quality / PFAS
155
Pesticides / glyphosate
153
Repurposed drugs (ivermectin etc.)
140
EMF / 5G / wireless
122
GMO / biotech
109
Fluoride
75
Raw milk
38
HSA / Health Savings
21

Working observations

Early reads from the data โ€” to be tested, refined, and added to over time.

Next reads & open threads

The queue for deeper analysis โ€” this section grows as the work continues.

  • Citizen vs. credentialed split โ€” characterize the ~50/50 weighting with real counts.
  • Attachment deep-dive โ€” what's in the 835 attachments (studies, testimony, proposals)?
  • Sentiment & specificity โ€” distinguish policy proposals from general support/comment.
  • Map themes to the 163-item tracker โ€” coverage gaps and over-represented asks.
  • Notable single submissions worth surfacing individually.

Method & provenance

Figures are computed from a local full-text index (SQLite FTS5) of the inbox โ€” subjects, bodies, recipients, attachment filenames, and text extracted from attachments (PDF/Word/PowerPoint, including OCR of scanned documents and images). Theme counts use stemmed keyword matching and represent message-level term presence; they are indicative, not exact classifications, and themes overlap. For privacy, this public summary reports only aggregate figures โ€” no individual names or email addresses are published.