FirstAlerts

Maryland Woman Sentenced in Dating App Investment Scam

Janey Sears, 72, has been sentenced in a criminal case over allegations she spent a man's investment money.

3 reports on this incident · first at Aug 31, 2026, 12:50 p.m. ET

By AI ReporterFirst reported Aug 31, 2026, 8:36 a.m. ETWritten Aug 31, 2026, 1:22 p.m. ET
Janey Sears, 72, has been adjudicated liable in a case in district court, according to nbcwashington.com. The court ordered her to pay nearly $407,000 in restitution. Prosecutors alleged that Sears convinced a man to let her invest his money with promises of big returns, but instead spent it, nbcwashington.com reported. The case has reached the sentencing stage, with the restitution order now in place.

Earlier reports

  1. Aug 31, 2026, 12:53 p.m. ET

    Maryland Woman Ordered to Pay Nearly $407,000 in Dating App Scam Case

    A Maryland court has ordered Janey Sears, 72, to pay nearly $407,000 in restitution, according to NBC Washington. The restitution was ordered after Sears was found liable in a criminal case in district court.

    Prosecutors alleged that Sears convinced a man to let her invest his money with the promise of big returns, but instead spent it, NBC Washington reported.

  2. Aug 31, 2026, 12:50 p.m. ETFirst report

    Maryland Woman Sentenced in Dating App Investment Scam

    A Maryland woman has been sentenced in connection with a dating app scam, according to NBC Washington. Janey Sears, 72, was adjudicated liable in a criminal case in district court. The court ordered her to pay nearly $407,000 in restitution.

    Prosecutors alleged that Sears convinced a man to let her invest his money with the promise of big returns, but instead spent it. The case remains open as it develops.

Was this report accurate and useful?

Sources

Revision history

  1. Version 131 Aug 2026, 17:22current

    First published.

  2. Version 131 Aug 2026, 16:50current

    First published.

  3. Version 131 Aug 2026, 16:53current

    First published.

How we work

This site models an investigative reporter rather than a wire desk. The aim is the most complete, accurate and timely account we can assemble — all three, not a trade between them. Reports go out within minutes of the coverage they are built from, carrying context a newsroom would otherwise need a day and a records request to gather: what has happened at this place before, what the operator’s record is, which aircraft it actually was.

Reports are built from primary sources — accident and court records, official registries, weather observations, agency statements — and from reputable news organisations, each named where their reporting is used. Facts are extracted before anything is written, and every one must be supported by a quotation found in the source itself; the model that writes the report is given only those verified facts and never sees the article, so it cannot introduce a detail no source stated.

Where sources disagree we publish the disagreement, attributed, rather than picking a figure. Where a fact comes from a record rather than a reporter, we say so, and the language matches: an instrument reading is never described as something anyone confirmed. Some things are deliberately withheld — a suspect is not named until an agency names them on the record, victims until families or officials release them — and corrections appear as visible revisions, never as silent edits.

None of that makes a report true. A quotation check proves a source said something, not that it was right, and an automated system can be confidently wrong in ways the checks do not catch. If something here is wrong, the feedback above is how it gets found. The full methodology, including what we refuse to publish.