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Sources & methodology

How the numbers were built, and how to check them

Everything here is drawn from public disclosure records. Our standard is that anyone can trace each figure back to a primary filing, re-run the math, and reach the same result. This page is the receipt: the totals, the rules we used, what we excluded, and how to verify it yourself.

En breve (Español)

Toda la información proviene de registros públicos de gobierno (contribuciones de campaña y cabildeo). Estos son hechos con su fuente, no acusaciones: contribuir y cabildear es legal y se divulga por ley. Mantenemos solo lo que pudimos confirmar y publicamos también lo que excluimos. Las guías comunitarias en lenguaje sencillo están disponibles en español en sero.uno.

The principle

Contributions and lobbying are lawful, routine, and disclosed by design. A disclosed payment is a fact to note, never proof of influence, coordination, or a quid pro quo, and we never imply one. We publish the source alongside every claim, mark how confident we are, and (importantly) we publish what we left out. Hiding an inconvenient row would invite the very suspicion we're trying to dispel; showing our exclusions is how the work earns trust.

Where the money is

Two headline figures, defined precisely so they can't be mistaken for each other:

$1,382,736
Attributable total: company plus named principals, all jurisdictions, 2010 to 2026.
$1,542,193
All-in, including the separate employee-aggregate lens (plus $159,456).

Company / entity money: $848,441

ComponentAmountSource
Federal lobbying fees$710,000U.S. Senate LDA (21 filings)
LA City lobbying fees$107,500LA City Ethics (Veritas)
CA state organizational contributions$30,941Cal-Access (Lineage Holdings, etc.)
Subtotal$848,441

Principals' personal political giving: $534,295

JurisdictionAmountDetail
Federal$433,195Marchetti $308,712 · Forste $123,983 · Lehmkuhl $500 net
CA state$98,000Marchetti $46,500 · Forste $51,500
LA City$3,100Marchetti (Garcetti 2013, Bass 2026)
Subtotal$534,295

The employee-aggregate lens ($159,456), contributions by individuals who self-reported a Lineage employer, is reported separately and is not attributed to the company. Individual rank-and-file donors are kept as a pattern, not named.

What we excluded, the discipline made visible

Searching public databases by name surfaces a large crowd of look-alikes. The hard part of honest data work is throwing most of it away. We kept only rows we could confirm, and quarantined the rest: retained on disk, tagged, and contributing $0 to every total above.

~$1.38M
Kept: confirmed company / principal money.
~$10.2M
Excluded as namesakes / different people (about 42,700 rows).

We excluded roughly seven times more than we kept. The largest excluded group is the "Forster" clan (Juan Y. Forster, Katherine Forster, Egerton Forster, and dozens more), a different surname from Bay Grove's Forste. Also excluded:

Sourcefalse_matchdifferentreview (held out)
FEC bulk$9,355,528$527,262$3,225
Cal-Access$173,948$117,326$32,708

How we decide a "match"

Two records sharing a surname is not a match. We confirm identity with corroborating fields:

De-duplication

Federal contributions exist in two of our sources: a processed seed (which includes ActBlue conduit gifts) and the raw FEC bulk files (which do not). To avoid both double-counting and under-counting, we treat the seed as the complete base and add only genuinely new bulk rows, de-duplicated by transaction identity. The result reconciles to a single figure per person (for example, Kevin Marchetti = $308,712), with no row counted twice.

Confidence tags

Every row carries one of:

match identity confirmed   different / review likely a different person, or not yet verified, excluded from totals   false_match shares a search string but is a different person/entity, excluded   aggregate employee self-reported employer, reported as a pattern, not by name

Primary sources

Downloads

The full dataset is published so you do not have to take our word for anything. Open the files, follow each figure to its source, and confirm it yourself. Released under CC BY 4.0; the underlying government records are public.

Full data package (.zip)
Datasets, plain-language findings, and copies of the source filings, with a README. About 1 MB.
Disclosure dataset (.xlsx)
One tab per source plus a normalized "all money flows" tab. Filter by confidence = match and sum to check any total.
Affected businesses (.xlsx)
The impact-zone business dataset by layer, with the excluded list shown. Same data as the listing below.

Prefer to browse? See the searchable business listing.

Verify it yourself

To check any figure: open the row, follow its source link to the original filing, and confirm the contributor, employer, amount, and date. To check a total, filter the "all money flows" tab by confidence = match and sum. Excluded rows are present too, so you can audit what we left out. We point to the sources; we do not publish scraping tools or step-by-step extraction recipes. The goal is to help you reach the original records, not to build a how-to.