Critical-mineral targeting · U.S. federal land

Ranking open U.S. federal land for critical minerals, and testing that ranking in public.

Atlas ranks open federal ground from public geoscience data, re-checks every target’s land status against federal records, and publishes how the ranking does on deposits it never saw, weak results included.

28 packages·10 states·622 open targets after the land re-check·run data as of 2026-09-22

Earth seen from space, centred on the western United States (NASA Blue Marble imagery)

Pick a district below to see it up close

Outlines mark the areas we analysed, never a target. Imagery: NASA Blue Marble via NASA GIBS (globe) · aerial imagery: USDA NAIP via USGS The National Map · relief: USGS The National Map.

What it is

Open federal ground, ranked and checked

For each district: a ranked short list of open federal ground, the plain-language reasons behind every target, and a public record of how the ranking has done.

Open ground, re-checked

At the run, every target had no active mining claim in BLM’s records (MLRS) and sat on BLM or Forest Service land outside BLM’s protected areas. A fresh re-check on 2026-09-30 added two checks the run lacked, Forest Service wilderness and recorded mineral withdrawals, and flagged 190 of the 812. Those are no longer offered as open ground.

Run data as of 2026-09-22.

Ranked from public data

28 packages across 10 western states: copper, gold, silver, cobalt, lithium, molybdenum, rare earths and nickel. Each target comes with the plain-language reasons it ranks where it does.

Graded in public

Every package shows its held-out test result, weak ones included, or says plainly that it has too few known producers to test. The target list is hash-committed so later changes would show.

Aerial view across the Morenci district in Arizona: rugged brown ridges, with the pale terraces of the existing open-pit copper mine on the left
Every district is mapped on real imagery. Here, the Morenci district in Arizona in USDA NAIP aerial imagery (flown by aircraft, ~1 m source) via USGS The National Map. The pale terraces are the existing, long-public Morenci mine. No outlines or targets are drawn on public images.

Track record

How the ranking has done, weak results included

We hide known deposits, re-rank, and count how many land in our top-ranked 20% of ground. Then we check that result against chance done properly.

4 of 8

district windows beat a strict chance test

Pass: Morenci, Tonopah, Ely and Carlin. Not yet: Creede, Bodie, Comstock and Silver Valley. The test keeps how deposits cluster and repeats our exact procedure (p < 0.05). These windows sit on well-known camps, so this measures ranking within a camp, not finding new districts.

2 of 8

statewide packages beat a strict chance test

Pass: Utah and New Mexico (the rows below show which commodity). Same strict test, which includes beating a no-geology rule that simply ranks known mining corridors first (p < 0.05).

47%

median share of known producers found in our top-ranked 20% of candidate ground

Held-out test across all 22 packages with at least 15 known producer records (range 36%–92%). Chance is not 20% here: it depends on how each package’s ground was chosen and tested, so each package’s matched level is the tick mark below.

Stricter view: the 16 packages we can re-check exactly from today’s files have a median of 54% per producer record, and 44% when each deposit cluster counts once.

622 of 812

listed targets still pass every land check on a fresh re-query on 2026-09-30

We re-ask the agencies’ own records: BLM mining claims, land agency, protected areas and withdrawals, plus Forest Service wilderness. A target counts only if every check answers and none rules it out; the rest are excluded and no longer offered. As a control, 126 of 126 sampled claimed cells are still claimed. This is agreement with public records, not a title opinion.

Every package with enough known producers to test

All 22 packages with at least 15 known producer records, strongest first. The weak ones stay in.

  1. Creede silvernot distinguishable from chance yet 92%
  2. Morenci copperbeats strict chance 84%
  3. Tonopah goldbeats strict chance 83%
  4. Utah molybdenumbeats strict chance 83%
  5. Ely copperbeats strict chance 70%
  6. Carlin goldbeats strict chance 66%
  7. Bodie goldnot distinguishable from chance yet 61%
  8. Comstock goldnot distinguishable from chance yet 57%
  9. Oregon nickelnot distinguishable from chance yet 52%
  10. New Mexico copperbeats strict chance 50%
  11. Wyoming goldnot distinguishable from chance yet 48%
  12. Utah goldnot distinguishable from chance yet 47%
  13. Nevada coppernot distinguishable from chance yet 45%
  14. Colorado molybdenumnot distinguishable from chance yet 44%
  15. Montana coppernot measurable 41%
  16. Idaho silvernot distinguishable from chance yet 41%
  17. California lithiumnot measurable 40%
  18. Nevada goldnot measurable 40%
  19. Utah coppernot measurable 40%
  20. Silver Valley silvernot distinguishable from chance yet 40%
  21. Arizona coppernot measurable 38%
  22. Idaho cobaltnot measurable 36%

Share = known producer records (from the USGS mineral-deposit database) whose nearest cell ranked in our top 20%, with those deposits held out while ranking. “Not measurable” means we could not re-derive that package’s shipped ranking exactly from the files on disk, so we make no strict-test claim for it.

  • Pre-registered targets

    On 2026-09-29 we hash-committed all 812 listed targets, together with the claimed and withdrawn ground they are compared against (Merkle root 01cf92729b45…). Once we reveal a target, anyone can check it against that root, so the list can’t be quietly changed. Targets the later land re-check excluded stay in this record, so the exclusion is visible too.

    External time-stamp: anchored in the Bitcoin blockchain (block 969224), dated 2026-09-29. Proof files on request.

  • Forward test running — not yet evaluable

    Do new mining claims get staked near the pre-registered targets as time passes? This is the one outside signal we can get without a drill. Next check: 2026-11-01.

  • Transfer test no demonstrated transfer beyond known-mining footprint

    Does the ranking find more than a “look near known mines” rule would? We scored every cell of 22 state-and-commodity regions the model was not trained on. Atlas’s geology model, run without the “near known occurrences” signal as the plan required, put 60% of their known producers in its top-ranked 20% of ground; chance is 20%. A rule with no geology, which ranks ground by how many known mineral occurrences sit nearby, put 86% there and beat the geology model in 22 of the 22. That is a fail under the rules we time-stamped before any score was computed, and we publish it as one.

Where it’s weak

  • Under cover it finds almost nothing. Across 19 packages, only 122 of 1,496 producer records on gravel and basin fill (8%) landed in the top-ranked 20%, against 60% on exposed bedrock.
  • Its geology doesn’t beat “look near known mines”. In the pre-registered transfer test, a no-geology rule that ranks ground by nearby known occurrences found more known producers than Atlas’s geology model in 22 of 22 regions. The geology ranks well above chance, but not above that rule.
  • Some areas can’t be tested. 6 of 28 packages have too few known producers; for those we make no accuracy claim.
  • Land status is a screen, not a title search. Agency records lag, and some withdrawals can’t be mapped, so confirm status before staking.
  • Screening-level only. No tonnage, grade or value is claimed for any target. Drilling decides.
How we measure this

Held-out test. Known producers are split into spatial blocks. Each block is hidden in turn, the ranking is rebuilt without it, and we record where the hidden producers fall.

Candidate ground. In each package we rank a set of cells: some near known occurrences, some far from any. “Top-ranked 20%” means the top of that set, not of all land.

Strict chance test. Fake deposit clusters with the real cluster sizes are dropped on random cells and pushed through the same procedure, and a no-geology rule ranks known mining corridors first. A package passes only if its real result beats all of them (p < 0.05).

Ranges. Deposits cluster, so we resample whole clusters rather than single records. That gives honestly wide ranges; where a package has few clusters, they can still run slightly narrow.

One caveat. Some model settings were chosen while looking at these same districts, so the results are held-out for the deposits, not for every modelling choice.

Run data as of 2026-09-22; strict tests computed 2026-09-29.

Roadmap

What’s done, and what comes next

The plan is to prove the ranking honestly, in public, before selling it.

  1. 2026 · done

    Engine built and graded

    28 packages ranked from public data and tested against known deposits wherever there are enough to test, weak results included. Every target’s land status was then re-checked against federal records.

  2. September 2026 · done

    Predictions locked in

    All 812 listed targets time-stamped in the Bitcoin blockchain before any outcome is known, and a forward test started: do new mining claims get staked near them?

  3. October 2026 · done

    The decisive test: published, and failed

    Scored on every cell of regions the model never saw, under rules time-stamped first. A no-geology “look near known mines” rule beat Atlas’s geology model in 22 of 22. We said we would publish the result whatever it showed, and we have.

  4. Now

    Does the geology add anything?

    The open question is whether geology improves on “look near known mines” inside known districts, where the shipped rankings work. Alongside it: recruiting an economic-geology advisor and seeking research funding for field work.

  5. Next

    Blind field validation

    A hired field team samples Atlas's top targets, ground the “known mines nearby” rule would pick, and random control sites, without knowing which is which. A certified lab tests the rocks. That shows whether Atlas adds anything a simple rule doesn't.

  6. 2027

    Forward-test results and first partners

    The forward test is scored at six and twelve months, in March and September 2027. With field results in hand, the first pilots with exploration teams follow.

How it works

Public data in, a short checked list out

  1. Gather public data

    Geology and fault maps, stream-sediment and rock geochemistry, gravity, magnetics, radiometrics and satellite alteration mapping. All public U.S. government and satellite data.

  2. Rank every cell

    We split each area into cells and score each one on how closely its geology matches places where that commodity has been produced, and on how near it is to known occurrences.

  3. Test on deposits it never saw

    Known producers are hidden in blocks and the ranking is rebuilt without them, then checked against chance.

  4. Check the land

    Every target is checked against BLM mining-claim and land-agency records, protected areas, Forest Service wilderness and recorded withdrawals. Anything a check can’t confirm is left out.

The output: each district’s targets, ranked, with the evidence for each, their land status at the latest check, and the district’s tested hit rate, or a plain “too few known deposits to test” where that’s the truth.

Who’s behind it

A founder-led company built on federal data

“The U.S. needs domestic critical minerals, a lot of open federal ground is still unstaked, and the public data to rank it already exists. I built Atlas to turn that data into a short list you can check, and I publish how it performs, including where it doesn’t.”

Matthew Schatz, founder. Atlas Mining Systems is operated by The Atlas Project AI, LLC, a Florida company.

Contact

Get in touch

I’m looking for an economic-geology advisor, research partners for field validation, and early backers. Exploration teams interested in a future pilot are welcome to write too.

contact@atlasminingsystems.com