With Midterms Looming, Trump’s SAVE Act Push Is Running Out of Time 62%

By Quinlan Forrest87%

7/23/2026, 11:27:26 AM

BS Summary: This article contains 21 faulty reasoning types, including Negativity Bias, Confirmation Bias, and Appeal to Authority, with Pessimism Bias as the most egregious example at 19.5% saturation with 229 hits. Analysis detected 1,397 faulty-reasoning hits from 1,174 analyzed words, generating a BS Score of 57.5% and a BS Rank of 62% (8,337 of 21,887 articles). This article is worse (more manipulative) than 61.90% of the article peer group.

With Republicans making a final push to pass a controversial bill ahead of the midterms that would make sweeping changes to how Americans vote, election experts and even some GOP lawmakers say there is no realistic path to implement the legislation before November, and they warn that forcing the issue could trigger lawsuits and disenfranchise eligible voters. 
The Safeguard American Voter Eligibility (SAVE) Act would require new documentary proof of citizenship for voter registration nationwide and bar no-excuse mail-in voting. 
Supporters cast it as a response to noncitizens voting, though such instances are exceedingly rare. 
Experts say the legislation would instead disenfranchise tens of millions of eligible citizens, who would suddenly need a passport or certified birth certificate just to stay registered. 
For many if not most of those would-be voters, there likely wouldn’t be enough time to get the new documentation in hand before the general election. 
Documents like valid passports, certified birth certificates matching current surnames (a particular burden for married and divorced women), and REAL IDs can take weeks to obtain and come with substantial costs  expenses some experts have likened to a poll tax, which, according to the 24th Amendment, is unconstitutional. 
This shows that it has become increasingly clear that time is not on the Republicans’ side. 
“We’re already past the point of implementation of anything like that for this year,” said Pamela Smith, president and CEO of Verified Voting, a nonpartisan group that promotes election integrity. 
If it became law this close to the election, the only responsible approach would be to delay the effective date rather than apply it to this year’s elections, Smith, who calls the SAVE Act a “really terrible bill” on its merits and not just because of the timing, added. 
Primaries have already concluded in many states, and the November general election is fast approaching. 
The first votes of the general election will be cast in less than eight weeks. 
Smith pointed to a federal safeguard known as the “quiet period”  a 90-day window before an election, tied to the National Voter Registration Act, during which officials lock down voter rolls and refrain from making changes. 
The country is nearly within that window now, she said, meaning that implementation of a law like the SAVE Act would run afoul of the quiet period provision. 
“You would either have to overrule or violate the quiet period trying to implement it now,” Smith said. 
Overriding that safeguard, she added, would almost certainly invite legal challenges. 
According to Smith, there’s also a structural limit on federal power here: Elections are run by the states, and the SAVE Act, if found to exceed the limited role allotted to the federal government, would fail to pass constitutional muster. 
If the legislation were passed and later struck down or blocked in court, states would not be obligated to implement it regardless of the administration’s wishes. 
Opposition isn’t limited to Democrats and election integrity experts. 
Retiring Sen. 
Thom Tillis (R-NC), who has become an outspoken critic of the administration on some issues, delivered a pointed speech on the Senate floor on last week, vowing to slow the bill down if it arrives, as is being plotted, via the budget reconciliation process to avoid a Democratic filibuster. 
“I have been trying to explain for nearly a year that the SAVE Act, whether it’s the SAVE Act, the SAVE America Act, the new SAVE legislation that’s being proposed in the House, SAVE goes to Hollywood, SAVE goes to Hawaii, whatever the sequels are, all of them are fundamentally flawed and impossible to implement by this election,” Tillis said. 
The senator, who helped implement North Carolina’s own voter ID law, used a whiteboard during his floor speech to illustrate how many election agencies nationwide would need to move quickly to comply  and why he believes there isn’t enough time before November. 
Lessons From Other States 
Smith cited several states that have already attempted to impose similar proof-of-citizenship requirements, arguing that their experiences show the practical burden falls disproportionately on eligible citizens rather than the noncitizens the law is ostensibly meant to target. 
In New Hampshire, a 2024 law led to documented cases in 2025 of married women being unable to register because their birth certificates didn’t match their current legal names. 
Lawmakers passed a follow-up “cleanup” measure that included real-time poll worker access to state databases, an effort that required additional time and money and was later blocked in court. 
More recently, Florida passed its own proof-of-citizenship requirement. 
That law was also challenged and, even if it ultimately survives, would not take effect before this year’s election. 
In Utah, an official study found only one noncitizen among nearly 2 million active voters  yet lawmakers passed a SAVE Act-like law anyway, without appropriating any money to carry it out. 
Texas came close to passing similar legislation, but election officials in the state pushed back hard, warning it would be too difficult and expensive to carry out, potentially costing millions of dollars. 
Officials also warned it would lead to a spike in provisional ballots (regarded with suspicion by many election integrity advocates) and a more significant new administrative burden on count ies, according to Smith. 
“All of these factors have to be taken into account,” Smith said. 
Disputing the Underlying Premise 
Smith argued that existing safeguards already catch the rare instances of noncitizen registration, which she said typically result from administrative error rather than fraud. 
That argument has been tested. 
New Jersey Gov. 
Mikie Sherrill (D) revealed this week that a Motor Vehicle Commission software error had wrongly registered about 6,600 people who had said they weren’t US citizens, and that roughly 400 of them ended up voting. 
The White House was quick to point to the case as proof that the SAVE Act is necessary. 
However, since the registered noncitizens did not try to pass themselves off as eligible voters, the mandates of the SAVE Act would not have made a difference in this case. 
In Smith’s view, the scale of the problem the SAVE Act claims to address does not remotely justify the burden the legislation would place on eligible voters, which is the core reason she opposes the bill on the merits, separate from the timeline problem. 
Whether Republicans will be able to enact the provisions of the legislation through reconciliation remains uncertain. 
However, even if they manage to do so, according to Smith  and increasingly, some GOP lawmakers themselves  implementing them before November is not a realistic possibility. 
This story was written by a member of our Mentor Apprentice Program (MAP). 
It gives aspiring journalists an opportunity to hone their craft while covering national and international news under the tutelage of seasoned reporters and editors. 
You can learn more about the MAP and how you can support our efforts to safeguard the future of journalism here . 
With Midterms Looming, Trump’s SAVE Act Push Is Running Out of Time originally appeared on WhoWhatWhy 
Article reasoning-pattern comparisonThis article: 13.3%Quinlan Forrest: 6.6%WhoWhatWhy: 5.0%Confirmation Bias13.3%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.7%Anchoring Bias0.0%This article: 0.0%Quinlan Forrest: 3.5%WhoWhatWhy: 3.9%Availability Heuristic0.0%This article: 2.7%Quinlan Forrest: 0.9%WhoWhatWhy: 0.9%Representativeness Heuristic2.7%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.9%Hindsight Bias0.0%This article: 0.9%Quinlan Forrest: 0.3%WhoWhatWhy: 0.8%Overconfidence Bias0.9%This article: 5.2%Quinlan Forrest: 7.4%WhoWhatWhy: 4.5%Framing Effect5.2%This article: 4.2%Quinlan Forrest: 1.4%WhoWhatWhy: 0.3%Loss Aversion4.2%This article: 2.0%Quinlan Forrest: 0.7%WhoWhatWhy: 0.7%Status Quo Bias2.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.8%Sunk Cost Effect0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 3.2%Optimism Bias0.0%This article: 19.5%Quinlan Forrest: 7.2%WhoWhatWhy: 2.9%Pessimism Bias19.5%This article: 15.1%Quinlan Forrest: 10.7%WhoWhatWhy: 14.3%Negativity Bias15.1%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.5%Self-Serving Bias0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 1.1%Fundamental Attribution Error0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Actor-Observer Bias0.0%This article: 4.2%Quinlan Forrest: 1.4%WhoWhatWhy: 0.9%In-Group Bias4.2%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.3%Halo Effect0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.5%Horn Effect0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Dunning-Kruger Effect0.0%This article: 2.6%Quinlan Forrest: 1.3%WhoWhatWhy: 1.0%Recency Bias2.6%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Primacy Effect0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Blind-Spot Bias0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 3.8%Ad Hominem0.0%This article: 0.0%Quinlan Forrest: 0.9%WhoWhatWhy: 0.6%Straw Man0.0%This article: 9.9%Quinlan Forrest: 5.0%WhoWhatWhy: 3.1%Appeal to Authority9.9%This article: 1.5%Quinlan Forrest: 0.5%WhoWhatWhy: 1.9%False Dilemma1.5%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 1.3%Slippery Slope0.0%This article: 0.4%Quinlan Forrest: 0.1%WhoWhatWhy: 0.0%Circular Reasoning0.4%This article: 6.5%Quinlan Forrest: 7.6%WhoWhatWhy: 5.7%Hasty Generalization6.5%This article: 1.5%Quinlan Forrest: 0.5%WhoWhatWhy: 0.2%Red Herring1.5%This article: 0.8%Quinlan Forrest: 1.3%WhoWhatWhy: 0.9%Bandwagon0.8%This article: 4.2%Quinlan Forrest: 5.2%WhoWhatWhy: 5.0%Appeal to Emotion4.2%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.8%Begging the Question0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 1.8%Post Hoc (False Cause)0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Tu Quoque0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.4%Burden of Proof0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Appeal to Nature0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.1%Composition/Division0.0%This article: 8.6%Quinlan Forrest: 5.5%WhoWhatWhy: 3.2%Anecdotal8.6%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.2%No True Scotsman0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.7%Ambiguity (Equivocation)0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.1%Middle Ground0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Personal Incredulity0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Special Pleading0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.0%Genetic Fallacy0.0%This article: 4.2%Quinlan Forrest: 1.9%WhoWhatWhy: 2.0%Unattributed Quote4.2%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.6%Quote-first Misdirection0.0%This article: 7.8%Quinlan Forrest: 6.8%WhoWhatWhy: 9.1%Biased Writer Voice7.8%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 1.6%Indoctrination0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 3.8%Politically Left Leaning Bias0.0%This article: 0.0%Quinlan Forrest: 0.0%WhoWhatWhy: 0.1%Politically Right Leaning Bias0.0%This article: 3.9%Quinlan Forrest: 2.6%WhoWhatWhy: 1.1%Attempt to Sell a Product or S…3.9%

1174 words analyzed.

Speakers

3speakers40%attributed speech709writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 57 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 49 words • 100.0% coverageWriter's voice • 16 words • 0.0% coveragePamela Smith • 30 words • 0.0% coveragePamela Smith • 49 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 37 words • 0.0% coveragePamela Smith • 28 words • 0.0% coveragePamela Smith • 18 words • 0.0% coveragePamela Smith • 11 words • 0.0% coveragePamela Smith • 40 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageThom Tillis • 49 words • 0.0% coverageThom Tillis • 60 words • 0.0% coverageWriter's voice • 43 words • 100.0% coverageWriter's voice • 4 words • 0.0% coveragePamela Smith • 37 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 33 words • 0.0% coveragePamela Smith • 12 words • 0.0% coverageWriter's voice • 4 words • 0.0% coveragePamela Smith • 24 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageMikie Sherrill • 35 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 30 words • 0.0% coveragePamela Smith • 44 words • 0.0% coverageWriter's voice • 16 words • 0.0% coveragePamela Smith • 28 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverage
Selected voice

Pamela Smith

96%flagged-word coverage
321 attributed words69% of attributed speech65% writer coverage
0%10.0%20.0%Unattributed Quote+15.3 ptsWriter: 0.0%Pamela Smith: 15.3%15.3%Biased Writer Voice-13.0 ptsWriter: 13.0%Pamela Smith: 0.0%0.0%Attempt to Sell a Product -6.5 ptsWriter: 6.5%Pamela Smith: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.