STAT42%

Expect a clash at today’s FDA peptide panel 31%

By Theresa Gaffney34%

7/23/2026, 11:34:25 AM

BS Summary: This article contains 27 faulty reasoning types, including Negativity Bias, Hasty Generalization, and Anecdotal, with Appeal to Authority as the most egregious example at 22.3% saturation with 186 hits. Analysis detected 1,273 faulty-reasoning hits from 833 analyzed words, generating a BS Score of 40.8% and a BS Rank of 31% (14,183 of 20,408 articles). This article is better (less manipulative) than 69.50% of the article peer group.

Good morning. 
We’re almost through the week. 
But first, we’ve got two days of an FDA peptides panel to get through. 
Scroll all the way down for a preview. 
More than 1,000 deaths have been confirmed in the fastest-growing Ebola outbreak in history, according to the African CDC. 
“These are people dying. 
They are dying because we don’t have vaccines, we don’t have medicine, we don’t have funding,” Jean Kaseya, director-general of the health agency, said yesterday. 
Read more from the AP on the situation. 
There are no approved vaccines or treatments for this species of ebolavirus, called Bundibugyo. 
But as STAT’s Helen Branswell reported last night, a growing number of studies have found that a Merck vaccine designed for a different species of the virus may still offer some protection and help contain the spread. 
Read more on how that work is progressing. 
Movement on a federal men’s health office 
A bipartisan bill to establish an office of men’s health within HHS will be introduced in the Senate today, STAT’s Annalisa Merelli exclusively reports. 
While several similar attempts have been made in the past, there’s been unprecedented momentum this year. 
The Senate proposal mirrors one made in the House this year, which was the first to have bipartisan support. 
Read more from Nalis on the details. 
Will new obstetrics payment codes help or hurt? 
Historically in the U.S., the cost of having a baby  at least when it comes to doctors and hospital fees  has been presented to patients in one big bill after delivery. 
In March, the American Medical Association announced that this “global” fee model will be replaced at the end of the year with a pay-as-you-go strategy, with separate payment codes for services like prenatal and postpartum visits, fetal monitoring, and more. 
The American College of Obstetricians and Gynecologists advocated for the change and have celebrated the new billing, which it says will be easier for patients to understand and improve both the care people receive and the way we understand maternal health more broadly. 
In one new First Opinion essay, two ACOG leaders say “good riddance” to bundled care and explain their rationale for pushing the change. 
The AMA says the change will be cost-neutral, but not everyone is so sure. 
In a counterpoint essay, health policy and management expert Jeff Levin-Scherz argues that the changes are likely to raise maternity care costs, and that employers that sponsor health insurance plans may bear the brunt of it. 
But he also says there are ways to prepare for these changes. 
Read more on how. 
A long delay for reinstatement after refusing vaccines 
In his first month back in office, President Trump signed an executive order promising to reinstate all service members who were discharged, or voluntarily left, for refusing the Covid vaccine. 
That order applied to nearly 8,000 active-duty and reserve troops who were involuntarily separated after refusing the shot, more than half of whom did not receive honorable discharges. 
And it’s not just about getting the job back  Trump also promised “full back pay.” 
Leah Rosenbaum, a reporter at The War Horse, spoke with four service members trying to take the Trump administration up on its offer. 
All of them complained about months of bureaucratic red tape, despite being told they’d be prioritized. 
“It’s like a huge slap in the face,” said a Coast Guardsman, who declined their first offer as inadequate. 
Read more from Leah on the reality that’s borne out since the order’s ink dried. 
Expect a clash at today’s peptide panel 
Even without safety data, peptide use is surging among Americans. 
(“I’m a peptide princess right now,” comedian Gabby Bryan said in a podcast interview recently, explaining that she could get the six peptides she takes from a doctor, but her dealer in Arizona is cheaper.) 
An FDA panel will meet today and tomorrow to discuss regulatory changes that would make certain peptides more accessible through mainstream routes. 
At issue is whether to allow compounding pharmacies to manufacture seven peptides that are currently designated as unsafe for them to make. 
Health secretary Robert F. 
Kennedy Jr. has said that it’s safer for patients to get them from FDA-inspected facilities rather than “very, very substandard” grey- and black-market options. 
Critics  including FDA staff  say that doesn’t matter if the safety of higher quality compounded peptides is still in question. 
Read more from STAT’s Sarah Todd and Lizzy Lawrence about what’s expected at the panel and who will get the final say. 
What we’re reading 
American scientists see prosecutions as part of federal campaign against them, KFF Health News 
Cyclosporiasis cases in the United States hit record high, New York Times 
Tennis is the first major women’s sports league to require genetic testing, The 19th 
Federal judge questions Hegseth’s ‘high-T’ military plan in light of Trump’s anti-trans ban, Law Dork 
States want to bring Medicaid behind bars. 
Federal changes are making that harder, Tradeoffs 
Article reasoning-pattern comparisonThis article: 3.0%Theresa Gaffney: 2.6%STAT: 3.3%Confirmation Bias3.0%This article: 0.0%Theresa Gaffney: 0.9%STAT: 1.3%Anchoring Bias0.0%This article: 7.3%Theresa Gaffney: 3.0%STAT: 3.8%Availability Heuristic7.3%This article: 2.3%Theresa Gaffney: 1.0%STAT: 1.0%Representativeness Heuristic2.3%This article: 0.8%Theresa Gaffney: 0.0%STAT: 0.4%Hindsight Bias0.8%This article: 0.0%Theresa Gaffney: 1.1%STAT: 1.3%Overconfidence Bias0.0%This article: 4.2%Theresa Gaffney: 5.7%STAT: 8.1%Framing Effect4.2%This article: 0.8%Theresa Gaffney: 0.4%STAT: 0.7%Loss Aversion0.8%This article: 6.8%Theresa Gaffney: 1.2%STAT: 0.9%Status Quo Bias6.8%This article: 0.0%Theresa Gaffney: 0.6%STAT: 0.2%Sunk Cost Effect0.0%This article: 5.0%Theresa Gaffney: 1.9%STAT: 3.4%Optimism Bias5.0%This article: 4.3%Theresa Gaffney: 1.9%STAT: 1.5%Pessimism Bias4.3%This article: 17.5%Theresa Gaffney: 9.4%STAT: 8.4%Negativity Bias17.5%This article: 6.8%Theresa Gaffney: 1.5%STAT: 1.2%Self-Serving Bias6.8%This article: 0.0%Theresa Gaffney: 0.4%STAT: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Theresa Gaffney: 0.1%STAT: 0.1%Actor-Observer Bias0.0%This article: 0.0%Theresa Gaffney: 0.3%STAT: 0.4%In-Group Bias0.0%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.1%Out-Group Homogeneity Bias0.0%This article: 5.2%Theresa Gaffney: 1.5%STAT: 1.4%Halo Effect5.2%This article: 0.0%Theresa Gaffney: 0.2%STAT: 0.1%Horn Effect0.0%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.0%Dunning-Kruger Effect0.0%This article: 10.0%Theresa Gaffney: 2.2%STAT: 1.5%Recency Bias10.0%This article: 2.6%Theresa Gaffney: 0.5%STAT: 0.4%Primacy Effect2.6%This article: 0.0%Theresa Gaffney: 0.2%STAT: 0.1%Blind-Spot Bias0.0%This article: 0.0%Theresa Gaffney: 0.5%STAT: 0.3%Ad Hominem0.0%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.4%Straw Man0.0%This article: 22.3%Theresa Gaffney: 5.0%STAT: 4.8%Appeal to Authority22.3%This article: 1.0%Theresa Gaffney: 1.0%STAT: 1.5%False Dilemma1.0%This article: 0.0%Theresa Gaffney: 2.2%STAT: 1.2%Slippery Slope0.0%This article: 0.0%Theresa Gaffney: 0.1%STAT: 0.1%Circular Reasoning0.0%This article: 10.7%Theresa Gaffney: 5.5%STAT: 4.7%Hasty Generalization10.7%This article: 0.0%Theresa Gaffney: 0.1%STAT: 0.2%Red Herring0.0%This article: 3.6%Theresa Gaffney: 0.6%STAT: 0.4%Bandwagon3.6%This article: 5.5%Theresa Gaffney: 3.4%STAT: 3.6%Appeal to Emotion5.5%This article: 0.0%Theresa Gaffney: 2.2%STAT: 0.9%Begging the Question0.0%This article: 5.3%Theresa Gaffney: 2.5%STAT: 2.3%Post Hoc (False Cause)5.3%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.1%Tu Quoque0.0%This article: 3.4%Theresa Gaffney: 0.5%STAT: 0.7%Burden of Proof3.4%This article: 0.0%Theresa Gaffney: 0.3%STAT: 0.2%Appeal to Nature0.0%This article: 4.0%Theresa Gaffney: 0.3%STAT: 0.3%Composition/Division4.0%This article: 10.7%Theresa Gaffney: 8.3%STAT: 3.4%Anecdotal10.7%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.1%No True Scotsman0.0%This article: 2.9%Theresa Gaffney: 2.8%STAT: 2.1%Ambiguity (Equivocation)2.9%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.3%Middle Ground0.0%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.1%Personal Incredulity0.0%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.2%Special Pleading0.0%This article: 0.0%Theresa Gaffney: 0.0%STAT: 0.1%Genetic Fallacy0.0%This article: 2.8%Theresa Gaffney: 1.8%STAT: 1.5%Unattributed Quote2.8%This article: 1.0%Theresa Gaffney: 0.5%STAT: 0.9%Quote-first Misdirection1.0%This article: 3.0%Theresa Gaffney: 3.4%STAT: 5.9%Biased Writer Voice3.0%This article: 0.0%Theresa Gaffney: 0.6%STAT: 2.1%Indoctrination0.0%This article: 0.0%Theresa Gaffney: 0.4%STAT: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Theresa Gaffney: 0.5%STAT: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Theresa Gaffney: 2.9%STAT: 3.4%Attempt to Sell a Product or S…0.0%

833 words analyzed.

Speakers

16speakers51%attributed speech408writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageAfrican CDC • 19 words • 0.0% coverageJean Kaseya, director-general of the health agency • 4 words • 100.0% coverageJean Kaseya, director-general of the health agency • 25 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageHelen Branswell • 37 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageAnnalisa Merelli • 24 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageAmerican Medical Association • 40 words • 0.0% coverageAmerican College of Obstetricians and Gynecologists • 43 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageAmerican Medical Association • 14 words • 0.0% coverageJeff Levin-Scherz • 36 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageDonald Trump • 30 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageDonald Trump • 16 words • 0.0% coverageLeah Rosenbaum • 23 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageGabby Bryan • 35 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageRobert F. Kennedy Jr. • 24 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageKFF Health News • 12 words • 0.0% coverageThe New York Times • 14 words • 0.0% coverageThe 19th • 15 words • 0.0% coverageLaw Dork • 7 words • 0.0% coverageTradeoffs • 7 words • 0.0% coverage
100%flagged-word coverage
29 attributed words6.8% of attributed speech65% writer coverage
0%45.0%90.0%Biased Writer Voice+86.2 ptsWriter: 0.0%Jean Kaseya, director-general of the health agency: 86.2%86.2%Unattributed Quote+9.1 ptsWriter: 4.7%Jean Kaseya, director-general of the health agency: 13.8%13.8%Quote-first Misdirection-2.0 ptsWriter: 2.0%Jean Kaseya, director-general of the health agency: 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.