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Sponsored by Rep. Zachary Nunn (R-IA) · 54 active : 30 Republicans, 24 Democrats
Latest action: Received in the Senate. Read twice. Placed on Senate Legislative Calendar under General Orders. Calendar No. 627.
Guarding Unprotected Aging Retirees from Deception Act of 2026 or the GUARD Act of 2026
This bill allows state, local, and tribal law enforcement agencies and grantees that receive funds from certain law enforcement grant programs to use the funds to investigate general financial fraud, elder financial fraud, and pig butchering.
Pig butchering
refers to a confidence and investment fraud in which a victim is gradually lured into transferring increasing amounts of money, generally in the form of cryptocurrency, into a fake virtual investment.
The bill allows federal law enforcement agencies to assist state, local, and tribal law enforcement agencies and fusion centers in the use of tracing tools for blockchain and related technology tools.
Finally, the bill requires the Financial Crimes Enforcement Network (FinCEN) to report on efforts to combat general financial fraud, elder financial fraud, pig butchering, and scams, including an evaluation of any legislative recommendations to improve the efforts. The bill also requires FinCEN to report on the state of general financial fraud, elder financial fraud, pig butchering, and scams in the United States, including trends in the crimes.
Each member’s recorded vote compared with their swing projection from before the vote. A member by voting against most of their own party.
| BandBand before the vote | VotedVoted yea or nay | BrokeBroke with party | Share |
|---|---|---|---|
| Swing | 23 | 0 | 0% |
| Middle | 214 | 7 | 3% |
| Entrenched | 182 | 0 | 0% |
Members fall into . 2 representatives don’t have enough data yet and are marked “insufficient data”. Non-voting delegates are not counted. The bill is not before the House right now; these scores show where members would stand.
Bars show each input from 0 to 100: ideology gap, scorecard gap, . is the seat’s partisan lean, and shows how much of the input data a score has. Where the House has voted, each member’s appears with the projection made before it.
Loading similar votes
| Insufficient data |
|---|
| 2 |
| 0 |
| 0% |
| All voting members | 421 | 7 | 2% |
|---|
: Pair any member who broke with one who stayed with their party: in 78% of those pairs, the one who broke had the higher swing score before the vote. Chance would be 50%.
Projections from swing-v2, computed with data from before the vote. Present and not voting never count as breaking.
These members have less than half of the model’s inputs, so their scores are not banded or ranked.
Ringed dots broke with their party on the vote.
Ideology is each member’s score. The cluster low on the chart includes the bill’s 55 sponsor and cosponsors in the House: they have already committed, so they score as entrenched. 2 representatives without a DW-NOMINATE score or with insufficient data are not plotted.
Similar votes count toward swing-v3 in the House: total similarity weight 24.0 (needs 5.0).
