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Ideology gap
Scorecard gap
Cross-pressure
92Swing
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Sponsored by Rep. Jack Bergman (R-MI) · 154 active : 154 Republicans
Latest action: Referred to the House Committee on Oversight and Government Reform.
Firearm Industry Non-Discrimination Act or the FIND Act
This bill prohibits the federal government from entering into contracts with an entity that discriminates against firearm trade associations or businesses that deal in firearms, ammunition, or related products.
Specifically, the bill requires a federal agency to include in each contract for the procurement of goods or services awarded by the agency a clause requiring the prime contractor to certify that it (1) has no policy, practice, guidance, or directive that discriminates against a firearm entity or firearm trade association; and (2) will not adopt a policy, practice, guidance, or directive that discriminates against a firearm entity or firearm trade association during the term of the contract.
The bill establishes (1) a similar requirement with respect to subcontracts, and (2) penalties for violations.
The bill makes such prohibition inapplicable to a contract for the procurement of goods or services that is a sole-source contract.
Members fall into . 2 representatives don’t have enough data yet and are marked “insufficient data”. Non-voting delegates are not counted.
: only movement toward the other party counts, so members who sit further from the center than their party no longer score as swing votes.
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.
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These members have less than half of the model’s inputs, so their scores are not banded or ranked.
Ideology is each member’s score. The cluster low on the chart includes the bill’s 154 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 24.5 (needs 5.0).
