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Plinth

· Private foundation

The Marvin and Ruth Lebow Medical Research Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$165k
Granted FY2024still arriving
7
Grants FY2024still arriving
6
States reached
$65k
Largest
01What you fund
0183% classified

What you funded, over time

Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY20202024.

Arts & Culture$158kHousing & Shelter$70kEducation$30kHuman Services$20kHealth$9kOther$60k
02FY2024 · 7 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • Under $10k1 grant · $5k
  • $10k–50k5 grants · $95k
  • $50k–250k1 grant · $65k
$20,000
Median grant
6
States reached
$2.5M
Total assets
Largest grants
RecipientAmount
Miriam's House$65,000
New Roads School$30,000
EB Medical Research Foundation$25,000
Grass Roots Neighbors$20,000
University of Oregon DuckRise$10,000
American Camp Association$10,000
Individual grant recipient$5,000
02The need
03

Do your dollars go where the need is?

Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.

show:

Your human-services grants (FY24–24, $20k) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 12%Grass Roots Neighbors: $20k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.

03Your field
04the grantee network

6 grantees tracked through their own filings, 2017–2025.

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 6 of the 9 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
6/6
Grantees still filing
4/6
Grew since you first funded

Where your money sits — by cause, then by grantee

TULSA CHILDREN'S MUSEUM INC — $157,835 · Arts & CultureTULSA CHILDREN'S MUSEUM INCMIRIAM'S HOUSE INC — $70,000 · Housing & ShelterMIRIAM'S HOUSE INCEB Medical Research Foundation — $35,000 · OtherEB Medical Research…AMERICAN CAMPING ASSOCIATION INC — $10,000 · OtherAMERICAN CAMPING AS…University of Oregon DuckRise — $10,000 · OtherUniversity of Orego…Individual grant recipient — $5,000 · OtherIndividual grant re…NEW ROADS SCHOOL — $30,000 · EducationNEW ROADS…Grass Roots Neighbors — $20,000 · Human ServicesOklahoma Medical Research Foundation — $9,350 · Health
Arts & Culture$157,835Housing & Shelter$70,000Other$60,000Education$30,000Human Services$20,000Health$9,350

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetTULSA CHILDREN'S MUSEUM INC — $157,835 over 1y, 4.1% of budgetMIRIAM'S HOUSE INC — $70,000 over 2y, 2.1% of budgetNEW ROADS SCHOOL — $30,000 over 1y, 0.1% of budgetGrass Roots Neighbors — $20,000 over 1y, 21% of budgetAMERICAN CAMPING ASSOCIATION INC — $10,000 over 1y, 0.0% of budgetOklahoma Medical Research Foundation — $9,350 over 1y, 0.0% of budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.

The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.

American Online Giving Foundation IncDE8.5× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: American Online Giving Foundation Inc · Amazonsmile Foundation

Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

Government reliance of your grantees

Every dot is one organization The Marvin and Ruth Lebow Medical Research Foundation funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.

2024
202122232425
no gov · 10%2%6%14%25%your share of their income ↑0%13%25%38%50%share of the org’s income from governmentmedian 31%
  • Oklahoma Medical Research Foundation31% of income from government
no gov moneyreceives it· size = income
1get no government money at all
0rely on government for over half their income
⤢ axis zoomed · 0–50%
typical government reliance, FY2025

Government income is each org’s traced federal awards (USASpending — grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that your grant caused the public funding. Coverage is precision-first — a floor, not a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12–24 months.

On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 9 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears. How we build these →

Generated from your IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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