Invisible illness is real — even when your tests come back normal. Using trusted U.S. government
health data, this map makes that hidden burden visible, and helps you see where you fit.
If you’ve been told it’s “probably just stress,” this is for you.
3,919 real peopleTrusted government dataNot a diagnosisNothing you enter is saved
The problem
What we don’t measure, we don’t treat
Tens of millions of Americans live with Long COVID, ME/CFS, Lyme-associated and autoimmune
illness — real, common, and disproportionately affecting women, yet routinely dismissed.
The reason is structural: invisible illness is never measured as a whole. Fatigue lives
in one record, a blood marker in another, declining activity in a third. One at a time, each looks
“normal.” So patients hear “your tests are fine.” The Atlas brings the
fragmented signals together and makes the hidden burden visible and countable.
01 · The Atlas
A map with meaning
How burden spreads across U.S. adults, with a plain-language description of who lives in each region.
02 · Where do I fit?
Find where you land
A simple tool that shows roughly where you sit from what you can answer — nothing stored, never a diagnosis.
03 · Reference frames
People like you
Compare against your own age and sex, not just the average American — surfacing burden a general “normal” hides.
Who it’s for: patients who want to be believed, the
clinicians and advocates who support them, and the public-health teams and researchers who fund and fix these
conditions.
The map · the main figure
3,919 real people, seen as a whole
Each dot is one real adult from a large, trusted U.S. government health survey
(NHANES). Instead of looking at a single test, we look at everything together — their
bloodwork, how much they moved over a week, and how they said they felt. Colour it, re-frame it, turn it
into terrain, hover a person, or click to light up people like them.
ColourFrame
burden severity
lowerhigher
Hover a point for that person’s profile · click to light up the 40 most similar
people · the people carrying the most hidden burden gather in the tail to the right.
2.5× more likelyPeople in the highest-burden group are about 2.5× as likely to have a diagnosed chronic illness as the lowest — even after accounting for age, sex, race and weight. So this isn’t just “getting older.”
1 in 3 → 3 in 4have a diagnosed chronic condition, from the lowest-burden group to the highest.
Real & checkableBuilt today on public government data — every number can be re-created and verified. See how we know →
The gradient is real
The heavier the hidden pattern, the more real illness we find
Sort people from lower to higher burden, and the share with a diagnosed chronic condition
climbs steadily. Click a bar to highlight that group on the map above — or switch the frame to
see it for women or an age group, using the real numbers.
← lower burden · Everyone · chronic-condition rate per region →
1 in 3 → 3 in 4
have a chronic condition
The share with a diagnosed chronic illness, from the lowest-burden group to the highest.
2.5×
more likely — not just age
People in the highest group are about 2.5× as likely to have a chronic illness, even after accounting for age, sex, race and weight.
Women hit hardest
36% → 77% within women
The pattern is even stronger for women — the group these illnesses affect most.
What a person sees
Every region has a human story
Not statistics — descriptions. Click a card to isolate that region on the map.
Burden as terrain
See the landscape as elevation
Switch the map’s colour to Terrain (top of the Atlas) and burden becomes a
surface — mountains where the burdened concentrate — so the shape of the problem is visible at a glance. This
is the Atlas’s signature view.
Try it: set Colour → Terrain, then switch the Frame to Women and watch the ridge
re-form around them.
Connecting the dots
Three kinds of information, one person
The map brings together three kinds of information from the same person — their body,
their behaviour, and how they feel — and they really do move together. Hover a line to see how
strongly two of them are connected.
How the signals connect · from the same people
hover a line to see how strongly two things are linked
Where do I fit?
Place yourself on the map
Answer a few simple questions about how you feel, and a ★ you marker appears on the
Atlas above, among people with a similar pattern — showing roughly where you land and how it compares to
people like you. It’s not a diagnosis, and nothing you enter is ever saved.
Answer a few to place yourself
Your ★ marker appears on the map above as you move the sliders.
0 of 5 answered—
How much you’ve told us—
A rough comparison against public survey respondents — not a medical result. The more
you answer, the clearer the placement. Nothing you enter is stored.
Built to grow
From thousands of people to a million
Today the map holds ~3,919 people. As more public health data becomes available, the same map
can hold far more — here it is with up to a million. Drag to move, scroll to zoom, and
change the number.Where it’s going →
Points—
Every dot is a person, drawn instantly. Built on the same technology behind today’s largest
data maps — so growing the Atlas is a solved problem, not a rebuild.
Where it goes
One method, many maps
The same engine extends to other questions and public datasets — each a new lens on the same
regions:
Geography
Where burden concentrates across U.S. states (BRFSS).
Cost
The economic weight attached to each burden region (MEPS).
Over time
How prevalence shifted through the Long-COVID era (Household Pulse).
Deeper signal
A closer look at sleep and daily rhythms, minute by minute.
Other conditions
The same measurement approach, pointed at any invisible-illness domain.
Honest by design
What it is — and isn’t
It maps burden; it does not diagnose. The groups are simply people sorted from lower to higher burden — not disease labels. No one gets a personal medical result.
It is open and checkable. Built entirely from public government data with open methods; the map and every number can be re-created and verified by anyone.
It respects the data’s limits. This data is from before the pandemic, so it shows a pattern of fatigue and everyday difficulty — not Long COVID itself.
It handles no personal health records. The “Where do I fit?” tool compares a few numbers against public statistics, once, and forgets them.
Go deeper
The details, one click away
The main page keeps it simple. If you want the full story, each piece has its own page.