GRIDINT Research · People

The excess.

When a catastrophe moves through a population, the honest measure is not the attributed toll — it is how many more people died than the years before said should have. This report reads that measure for the pandemic years, and it computes no baseline of its own: the excess series are the publishers' computations, cited as theirs, and the raw view shows deaths against the record's own 2015–2019 range — a range, not a model. The gap between the two counts is the finding: Egypt's excess ran 14.51 times its reported toll, Russia's 3.35 times, the United States' 1.13 — the same event, counted honestly and counted officially, on one board. And its quietest fact: Russia’s and the United States’ excess totals land 764 apart — 1,349,776 against 1,349,012. Every figure is computed from the records at render time.

THE WAVE

Deaths above the expected, week by week.

Seven countries' P-scores — the percentage by which each week's deaths exceeded the publisher's five-year baseline. The waves arrive at different times, at different heights, and the height of a country's wave and the size of its official count are two different facts — the next view holds them together.

A1Excess mortality P-scores — seven countries, each at its registry’s own step
WHAT YOU ARE LOOKING AT The published P-score series: percent deviation of registered deaths from a five-year average baseline — the publisher's baseline and computation, cited as theirs; this page computes none of its own. Coverage differs by country and gaps are gaps. Five registries publish weekly; Japan and Russia publish every four weeks — a four-week score averages the month, so those two waves sit flatter than a weekly series over the same surge. The four-week lines are drawn dashed. Tap or hover any line.
sourceOWID excess-mortality P-scores (HMD/WMD-derived) · as published methodthe baseline is the publisher's five-year average — named, not remade here
THE GAP

Counted honestly, counted officially.

For each country: the published cumulative excess estimate beside the officially reported toll, and the ratio between them. The ratio divides two published totals — nothing more. Where it runs near one, the official count and the excess sit close together; where it runs to double digits, they part ways — and the ratio cannot say why. A registry that concealed and a registry that could not keep up with the surge look identical in this arithmetic.

B1Cumulative excess vs reported deaths — the ratio ladder
WHAT YOU ARE LOOKING AT Solid bar: the published cumulative excess-death estimate. Outlined bar: officially reported COVID deaths. The ratio labels the pair. Both numbers are publishers' totals; the division is this page's only arithmetic, and it says so. Countries shown are those above 20,000 estimated excess with both series present. Tap or hover any pair.
sourceOWID cumulative excess projections · OWID reported totals · each series at its own last date methodratio = excess ÷ reported, two published totals · a negative or sub-one ratio is shown as the record gives it
THE RAW RECORD

One country's registry, no model at all.

The simplest version of the whole argument: Russia's monthly death registrations, 2020 through 2023, drawn over the shaded band of the highest and lowest each calendar month recorded in 2015–2019 — the record's own range. Where a pandemic-year line leaves the band, no baseline model is needed to see it.

C1Monthly deaths, Russia — pandemic years over the 2015–2019 range
WHAT YOU ARE LOOKING AT The band is the min-to-max of each month across 2015–2019, from the World Mortality Dataset's registry numbers — a range, not a model. The lines are the pandemic years' actual registrations. Tap or hover any point.
sourceWorld Mortality Dataset (Karlinsky & Kobak) · registry deaths, monthly methodthe band is min and max of the record itself · nothing here is fitted, smoothed, or projected
METHOD

Whose numbers, and what this page refuses.

No baseline of this page's own. An excess-death figure requires an expected value, and an expected value is a model. This page builds none: the P-scores and cumulative estimates are the publishers' computations against their stated five-year baselines, drawn as published and cited as theirs. Where this page does arithmetic, it is division of two published totals, and the exhibit says so where it happens.

The raw view is the check on everything else. Registry deaths against the record's own five-year range needs no model to read — it is the primary record with its own history as the yardstick. A reader who trusts no baseline can stand on that view alone.

What is absent, and why. No world total appears: the sources publish none for these series, and summing incomplete country coverage would manufacture one. Countries without registry data are absent, not estimated. The 1918 pandemic is not drawn: no comparable registry series meets this page's sourcing bar, and a famous number without a record is exactly what this site does not print.

sourceourworldindata.org · github.com/akarlinsky/world_mortality · retrieved 2026-08-29
FINDINGS

Three things the records show.

1The books and the graves disagree — by country. Egypt's excess ran 14.51 times its reported toll; the Philippines 4.35; Russia 3.35; the United States 1.13. The undercount is not a property of the pandemic — it is a property of the counting. → the gap, B1
2Two countries, one toll, two stories. Russia and the United States carry nearly identical excess estimates — about 1.35 million each — with officially reported tolls three times apart. Both facts, one board. → the gap, B1
3You do not need a model to see it. Set the pandemic months over the registry's own five-year range and the excess is visible to the naked eye — the raw record carries the argument without a single fitted line. → the raw record, C1
A GRIDINT RESEARCH REPORT · PEOPLE · AUTHORED FROM OFFICIAL RECORDS · RENDERED BY THE GRIDINT BUILDER
published 2026-08-29 · edition 1 — updated only by a new dated edition