Pandemic Darlings The pandemic economy, in original documents
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Federal district · prosecutions

U.S. District Court for the District of Montana

4 pandemic-relief fraud prosecution records for the District of Montana, naming 4 defendants. By program: 3 PPP, 1 EIDL. None has a case page in the archive. An amount is stated for 4 of them, from $76,989 to $1,043,000. Source dates run from 2022-03-24 to 2026-05-21.

Cases

4 defendants · 0 with a case page · sorted by amount, largest first

DefendantCase pageProgramChargeAmountDispositionSentenceDate
Trevor Gene Lanius-McLeodPPPbank fraud and engaging in monetary transactions in property derived from specified unlawful activity$1,043,000
obtained
plea30 months2022-06-09
Alaina Marie GarciaPPPBank fraud (1 count); money laundering (1 count)$613,000
loan amount
plea30 months2026-05-21
Kasey Jones WilsonPPPbank fraud, false statements$416,400
(DOJ release)
sentenced12 months2022-03-24
Michael Eugene BolteEIDLtheft of government money, property or records$76,989
loan agreement
plea3 years probation2022-04-13

Data and method

Each row is one row of the pandemic-relief sentences table, printed as that table prints it: defendant, program, charge, amount and its basis, disposition, and the date of the source the row was read from. A blank cell is a blank cell in the table. The sentence column states the months of imprisonment the table records, or the years of probation where it records no custodial term. A case page is linked only where a case page in this district names the defendant; 0 of the 4 rows do. District is the table’s own district field, resolved to this court. Rows whose district field names only a state with more than one federal district are not placed on any district page. A date the table writes in another form is restated as YYYY-MM-DD; a cell that is not a date is printed as it stands. An amount of $1 billion or more is left out: those cells carry a program appropriation quoted in the source release, not a sum attributed to the defendant. Some defendants have more than one row because the table read them from more than one source.

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