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· Public charity

Myasthenia Gravis Foundation of California

To find a cure for Myasthenia Gravis by funding cutting edge research and providing services for Myasthenia Gravis patients, as well as medical education, information, and referrals.

$13k
Granted FY2021
1
Grants FY2021
1
States reached
$13k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2021.

Education$108kScience & Tech$60kHealth$54k
02FY2021 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$12,500
Median grant
1
States reached
$1.4M
Total assets
Largest grants
RecipientAmount
Univ of CA San Francisco$12,500
02The need
03

Does the money reach high-need areas?

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

show:

Dollar for dollar, its grants (FY17–20) land where the poverty rate runs at 13%, against an area that typically sits at 11%. 70% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%Univ of CA Irvine: $24k → 10%Loma Linda University: $20k → 14%Univ of CA Los Angeles: $20k → 14%Univ of CA Davis: $30k → 16%Univ of CA Irvine: $20k → 10%Loma Linda University: $13k → 14%University of Southern CA: $20k → 14%Univ of CA Davis: $15k → 16%Univ of CA Irvine: $10k → 10%Univ of CA San Francisco: $10k → 16%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

74%of every dollar goes to organizations it has funded before.
$139k · 3 repeat orgs$50k to everyone else

3 repeat relationships: 1 still active in FY2021, 2 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

3
3

Total granted

$139k
$50k

Still filing today

0%
33%

New vs renewed · share of each year

In FY2021, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’20’21
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • RO
    REGENTS OF THE UNIVERSITY OF CALIFORNIA AT IRVINE
    3× · 2017–2020 · $69k
  • UO
    UNIVERSITY OF CALIFORNIA DAVIS
    2× · 2017–2018 · $45k
  • UO
    UNIVERSITY OF CALIFORNIA SAN FRANCISCO
    2× · 2020–2021 · $25k

Funded once

  • RU
    REGENTS UNIV OF CALIFORNIA
    one grant, 2017 · $20k
  • LL
    LOMA LINDA UNIVERSITY MEDICAL CENTERgraduated
    one grant, 2017 · $20k · revenue +54%
  • UO
    Univ of CA San Francisco
    one grant, 2018 · $10k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

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

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 3 of the 8 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
3/3
Grantees still filing
3/3
Grew since first funded

Where the money sits, by cause and then by grantee

REGENTS OF THE UNIVERSITY OF CALIFORNIA AT IRVINE: $69,000 · OtherREGENTS OF THE UNIVERSITY OF CALIFORNIA AT IRVINEUNIVERSITY OF CALIFORNIA DAVIS: $45,000 · OtherUNIVERSITY OF CALIFORNIA DAVISUNIVERSITY OF CALIFORNIA SAN FRANCISCO: $25,000 · OtherUNIVERSITY OF CALIFORNIA SAN FRANCISCOREGENTS UNIV OF CALIFORNIA: $20,000 · OtherREGENTS UNIV OF CALIFORNIAUniv of CA San Francisco: $10,000 · OtherUniv of CA San FranciscoUNIVERSITY OF SOUTHERN CALIFORNIA: $20,000 · EducationUNIVERSITY OF SO…LOMA LINDA UNIVERSITY: $12,500 · EducationLOMA LINDA UNIVE…LOMA LINDA UNIVERSITY MEDICAL CENTER: $20,000 · HealthLOMA LINDA…
Other$169,000Education$32,500Health$20,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their budgetUNIVERSITY OF SOUTHERN CALIFORNIA: $20,000 over 1y, 0.0% of budgetLOMA LINDA UNIVERSITY: $12,500 over 1y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

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

  • Who funds UNIVERSITY OF SOUTHERN CALIFORNIA ↗
  • Who funds LOMA LINDA UNIVERSITY MEDICAL CENTER ↗
  • Who funds LOMA LINDA UNIVERSITY ↗

How much its grantees rely on government

Each dot is one organization Myasthenia Gravis Foundation of California funds: left to right is the share of its income from government, bottom to top the share from Myasthenia Gravis Foundation of California. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%5%10%15%20%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–20%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Myasthenia Gravis Foundation of California?

    Find your warmest path to Myasthenia Gravis Foundation of California through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 8 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its 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.

    Generated from the IRS Form 990 e-file return for fiscal year 2021, released 2021. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2021, the most recent year this funder made grants.

    Source object · view filing

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