· Public charity
Bluelight Heals Corporation
To empower individuals to help people understand themselves better to remove negative thinking patterns using spirituality techniques to be happier and healthier.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2021–2025.
Where the money goes
Your grants by size, and where they go.
The 15 grants below total $10,148,872 — the rows itemised in this filing. The $16,380,563 headline is the total grant expense reported on the return, so the remaining $6,231,691 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.
By grant size · FY2025
- $10k–50k2 grants · $37k
- $50k–250k7 grants · $912k
- $250k+6 grants · $9.2M
| Recipient | Amount |
|---|---|
| ORGYEN TOBGYAL RINPOCHE (OTR) FOUNDATION | $3,727,980 |
| PADMASAMBHAVA BUDDHIST CENTER | $1,500,000 |
| ORGYEN TOBGYAL RINPOCHE (OTR) FOUNDATION | $1,415,000 |
| LIGHT OF BEROTSANA | $1,279,000 |
| TARA MANDALA | $1,000,000 |
| DRIKUNG KAGYU FOUNDATION USA | $277,244 |
| DRIKUNG KAGYU FOUNDATION USA | $202,000 |
| KUNZANG GATSHAL FOUNDATION | $165,000 |
| PADMASAMBHAVA BUDDHIST CENTER | $160,000 |
| KUNZANG GATSHAL FOUNDATION | $150,000 |
| TARA MANDALA | $100,000 |
| PADMASAMBHAVA BUDDHIST CENTER | $85,400 |
| TARA MANDALA | $50,000 |
| DRIKUNG KAGYU FOUNDATION USA | $25,000 |
| EMPOWERMENT WORKS | $12,248 |
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.
Dollar for dollar, your grants (FY21–25) land where the poverty rate runs at 12%, against an area that typically sits at 10%. 100% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
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.
Grants abroad, by region — $6.2M on the FY2025 return
Schedule F, as filed: 3 regions. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.
Stated purpose: PRESERVING THE ANCIENT DRIKUNG KAGYU LINEAGE OF TIBETAN BUDDHISM, SPECIFICALLY BY BUILDING 100 MONKS' QUARTERS, TO MEET THE GROWING DEMAND FOR DORMITORIES AT GAR MONASTERY (GARGON) IN NANGQIAN COUNTY, QINGHAI PROVINCE, TIBET, ALLOWING FOR THE MONASTERY TO CONTINUE EXPANDING AND THRIVING. · PRESERVING THE ANCIENT DRIKUNG KAGYU LINEAGE OF TIBETAN BUDDHISM, SPECIFICALLY BY BUILDING A TEMPLE AT HISTORIC GAR MONASTERY (GARGON) IN NANGQIAN COUNTY, QINGHAI PROVINCE, TIBET, ALLOWING FOR THE MONASTERY TO CONTINUE THRIVING.
Stated purpose: REBUILDING THE BUDDHIST COLLEGE AND PRESERVING THE LINEAGE MANKHA KYUNG DZONG TO MONKS · COMMISSIONING AND FINALIZING TIBETAN THANGKA PAINTINGS OF DZOGCHEN MASTERS AND SENDING TO TIBET FOR TRADITIONAL, RELIGIOUS USES · PRESERVING AN ANCIENT TRADITION OF TIBETAN MEDICINE, SOWA RIGPA, IN SIMIKOT, HUMLA, NEPAL, SPECIFICALLY BY FUNDING THE CONSTRUCTION OF A TIBETAN MEDICINE CLINIC WHERE THE TRADITIONAL AMCHI DOCTORS OF THE REGION CAN CONTINUE TO MAKE TRADITIONAL TIBETAN MEDICINE AVAILABLE TO THE POPULATION AND THUS HELP PRESERVE THIS ANCIENT HEALING LINEAGE.
Stated purpose: INFRASTRUCTURE/CAPITAL IMPROVEMENTS TO THE FIRST STUPA COMPLETED IN PERU AND THE CENTER OF THE DRIKUNG KAGYU ACTIVITY IN THE CUSCO REGION, LOCATED IN CHINCHEROS, PERU, SO THAT THE SPACE CAN SUPPORT GROUP EVENTS AND RETREATS IN FURTHERANCE OF DHARMA ACTIVITIES AND THE PRESERVATION OF THIS PRECIOUS LINEAGE · AGREEMENT FOR BLUELIGHT HEALS CORPORATION TO ASSIST WITH AND SUPPORT THE DEVELOPMENT OF THE DRIKUNG KAGYU CUSCO DHARMA CENTER, A BUDDHIST MEDITATION AND RETREAT CENTER, SPECIFICALLY BY PURCHASING PROPERTY IN CUSCO, PERU · PRODUCTION OF A CROSS-CULTURAL, EDUCATIONAL, AND SPIRITUAL PUBLIC EVENT, EL CAMINO DEL SOL, TO BE LED BY DRIKUNG KAGYU MONKS AND NUNS IN CUSCO, PERU, FROM JUNE-JULY OF 2025
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. Grants abroad on Schedule F are filed by region, purpose and amount with no recipient name, so they are shown by region and cannot be placed on the country map or matched to a grantee.
Where the work is directed
The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.
About 29% of Bluelight Heals Corporation’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another.
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the foundation’s own 990 grant descriptions.
3 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 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 3 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.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
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 set of overlaps that mostly run through you, not between each other.
Open a dossier: 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 Bluelight Heals Corporation 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.
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.
Warm introductions · Powered by PlinthPlus
How do I get to Bluelight Heals Corporation?
Find your warmest path to Bluelight Heals Corporation 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.