What the US cancer mortality data can and cannot show about mRNA vaccination

A methodological response to Catanzaro and colleagues (doi:10.5281/zenodo.22282111). A 2026 preprint reports 154,330 excess US cancer deaths following the week of peak mRNA vaccine uptake, with its own query of federal files bracketing 119,000-197,000. This response re-analyses the same CDC WONDER mortality files. The source estimate is reproduced: +50,071 underlying-cause deaths above a linear 2014-2019 count trend between April 2021 and August 2026, against 47,012 reported. The same observed deaths yield +50,071, +71,556 or -219,279 under three counterfactual baselines, a span of 290,835 deaths with no observation altered. Between 2019 and 2024 observed deaths at ages one and over rose 3.38%, while the age-adjusted rate fell 4.67% on NCHS published denominators and 6.76% on Census vintage-2025 denominators; the officially published rate fell 4.65% over the same interval. The certificate-coding gap from which the source derives a 72,118-death addition was 24.0% wider in January-November 2020 than in the same months of 2019, before any vaccination, peaks with successive COVID-19 waves, and has receded since 2022. These data do not establish that mRNA vaccination caused excess cancer deaths. The reported excess is highly sensitive to baseline specification, the underlying age-adjusted rate fell between 2019 and 2024 on every denominator basis examined, and the largest component of the published total describes a shift that began before vaccination. This analysis does not claim to have explained the residual, and a pooled population-level series cannot establish or exclude individual-level causation in either direction. The deposit includes the manuscript and a replication package containing all preserved inputs, an offline analysis script enforcing nineteen validation assertions, regenerated results, and review notes documenting remaining limitations.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24014190
Primary Topic
Global Cancer Incidence and Screening
Type
preprint
Controls
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preprint

What the US cancer mortality data can and cannot show about mRNA vaccination

Greg Boland
2 links
Zenodo (CERN European Organization for Nuclear Research)
Global Cancer Incidence and Screening
preprint

What the US cancer mortality data can and cannot show about mRNA vaccination

Greg Boland
preprint en

Abstract

A methodological response to Catanzaro and colleagues (doi:10.5281/zenodo.22282111). A 2026 preprint reports 154,330 excess US cancer deaths following the week of peak mRNA vaccine uptake, with its own query of federal files bracketing 119,000-197,000. This response re-analyses the same CDC WONDER mortality files. The source estimate is reproduced: +50,071 underlying-cause deaths above a linear 2014-2019 count trend between April 2021 and August 2026, against 47,012 reported. The same observed deaths yield +50,071, +71,556 or -219,279 under three counterfactual baselines, a span of 290,835 deaths with no observation altered. Between 2019 and 2024 observed deaths at ages one and over rose 3.38%, while the age-adjusted rate fell 4.67% on NCHS published denominators and 6.76% on Census vintage-2025 denominators; the officially published rate fell 4.65% over the same interval. The certificate-coding gap from which the source derives a 72,118-death addition was 24.0% wider in January-November 2020 than in the same months of 2019, before any vaccination, peaks with successive COVID-19 waves, and has receded since 2022. These data do not establish that mRNA vaccination caused excess cancer deaths. The reported excess is highly sensitive to baseline specification, the underlying age-adjusted rate fell between 2019 and 2024 on every denominator basis examined, and the largest component of the published total describes a shift that began before vaccination. This analysis does not claim to have explained the residual, and a pooled population-level series cannot establish or exclude individual-level causation in either direction. The deposit includes the manuscript and a replication package containing all preserved inputs, an offline analysis script enforcing nineteen validation assertions, regenerated results, and review notes documenting remaining limitations.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Global Cancer Incidence and Screening
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