BS Summary: This article contains 30 faulty reasoning types, including Biased Writer Voice, Post Hoc (False Cause), and Bandwagon, with Anecdotal as the most egregious example at 30.5% saturation with 344 hits. Analysis detected 2,389 faulty-reasoning hits from 1,127 analyzed words, generating a BS Score of 53.4% and a BS Rank of 69% (9,660 of 30,584 articles). This article is worse (more manipulative) than 68.40% of the article peer group.

Rates of infertility continue to rise, with one in six American couples struggling to have children. 
For years, they have brought their questions to a system built to manage symptoms, not truly diagnose and treat the underlying causes. 
This year, for the first time, the federal government asked them a question instead: What kind of care do you want? 
Nearly 5,000 Americans answered. 
In May, the Departments of Health and Human Services, Labor, and the Treasury proposed an “excepted fertility benefit”: an optional, fully customizable benefit that employers could offer alongside a major medical plan, much the way dental and vision coverage works today. 
The proposal grew out of President Trump’s executive order on expanding access to IVF, but as calls for root-cause restorative care grew louder, the rule’s scope grew with them. 
As proposed, covered services must be for the “diagnosis, mitigation, or treatment of infertility or infertility-related reproductive health conditions,” many of them written into the text of the rule itself. 
When the comment period closed on July 13, the docket held 4,652 comments. 
For context, about 80 percent of federal proposed rules draw 10 or fewer. 
By two preliminary AI-assisted counts, at least 62 percent called for greater access to root-cause care, including fertility awareness-based methods, body literacy, treatment of underlying reproductive health conditions, and asked that restorative reproductive medicine (RRM) be named and promoted in the final rule. 
What is so striking, however, is that these thousands of comments did not merely call for restorative reproductive medicine. 
They were also filled with personal stories from patients about how this approach enabled them to heal their bodies, conceive naturally, and live healthier, fuller lives than they would have relying on traditional IVF protocols. 
One woman struggling with miscarriages was told by her OBGYN that standard care meant they would not run tests until she miscarried three or more times. 
(Notably, the American Society for Reproductive Medicine, following this comment period, updated their recommended guidance on this point.) 
It was only when a friend referred her to an RRM clinic did doctors run detailed labs and found several hormone levels preventing her body from sustaining a healthy pregnancy. 
After a few cycles of medication and supplements, her levels stabilized, her PMOS (formerly PCOS) symptoms improved, and she conceived a healthy baby. 
Another woman shared how she miscarried 16 days after telling her parents she was pregnant. 
While her OBGYN assured her that it was a one-in-four random occurrence, she wasn’t convinced. 
When she conceived a second time, she called an RRM clinic, unsure they would even take her since one loss wasn’t the “pattern” a traditional clinic would have required. 
“We believe that one is too many,” the RRM clinic told her. 
They monitored her pregnancy and supported her hormones when her body needed it. 
She wrote her comment, she said, with her three-month-old daughter asleep in her arms. 
Sadly, the current health insurance system model is not built to cover the costs of these detailed and time-intensive approaches to treating infertility, which go far beyond the typical “15-minute appointment” model. 
A 31-year-old woman in Ohio described the cost of finding answers on her own. 
A NaProTechnology diagnosis of ovulatory dysfunction helped her conceive her first child after two years of trying; the medications her OBGYN prescribed afterward did nothing. 
Hoping for more children, she has spent over $3,000 out of pocket across 16 months on bloodwork and functional testing, spacing the tests out because she cannot afford them all at once. 
They revealed iron overload driving inflammation, poor stomach acid impairing absorption, mineral imbalances, and a suboptimal thyroid, none of it caught by standard care. 
“Paying for root-cause solutions,” she wrote, “is the only hope we have remaining to grow our family.” 
Comments like these, and thousands more, are why public comment periods matter: they are a rare opportunity when ordinary citizens, not lobbyists and special interest groups, speak directly to federal regulators. 
As a March 2026 survey by Carrot found, 89 percent of women would prefer to try a less invasive option before IVF if it came with clinical guidance, and 78 percent said better information alone would make them more likely to pursue non-IVF options. 
Interest in metabolic health support topped every option surveyed at 85 percent, and yet only 44 percent had ever had a single clinical conversation about metabolic health in their entire fertility journey. 
A 2025 J.L. 
Partners poll found the same thing: 79 percent of Americans want precision medicine that identifies and treats the root causes of infertility, and 89 percent said couples should be able to tailor treatment to their individual health. 
The medical approaches within RRM, such as Natural Procreative Technology, FEMM, and NeoFertility, have been around for decades; the political movement behind them is much newer. 
What has made it catch on so quickly is its premise: infertility is not a stand-alone disease but a symptom of underlying conditions, and treatment means asking what those conditions are and not stopping until there are treatable answers. 
In women, these conditions may include endometriosis, low progesterone, polyendocrine metabolic ovarian syndrome (PMOS), or lifestyle factors. 
For men, common conditions include low sperm count, motility, or quality, testosterone levels, metabolic health, and much more. 
RRM is the only approach that improves the overall health of both the man and the woman, improves egg and sperm quality, reduces pregnancy and birth risks, reduces miscarriage, and enables couples to bear children naturally. 
IVF, by contrast, bypasses the body to create human embryos. 
In the process, it increases adverse health outcomes for mother and baby, leaves the couple’s underlying health untreated, and has contributed to an estimated 1.5 million human embryos now frozen in the United States alone. 
Madeleine Kearns, writing about her own NaProTechnology journey in The Free Press, shared, “When I sought out RRM, I wanted my body to be as healthy as possible. 
After my surgery, I found that the chronic pelvic pain I’d struggled with my entire adult life, and the agonizing periods, were gone. 
And a couple of months later, I found out I was pregnant with my daughter, who turns 1 this week. 
As of now, I am 15 weeks pregnant with her baby sibling.” 
The comment period has closed, and the rule is set to take effect on Jan. 
1, 2027. 
As the departments draft the final language, the requests before them are clear: define infertility as a symptom of underlying conditions, name and explain root-cause restorative care explicitly in the rule, ensure patients and employers fully understand the benefit options before them, and educate the public on fertility awareness-based methods, body literacy, and restorative reproductive medicine. 
Regulators, you can take it from here. 
Article reasoning-pattern comparisonThis article: 11.6%Merlot Fogarty: 6.7%The Federalist: 8.4%Confirmation Bias11.6%This article: 0.0%Merlot Fogarty: 0.3%The Federalist: 0.5%Anchoring Bias0.0%This article: 4.0%Merlot Fogarty: 2.8%The Federalist: 3.3%Availability Heuristic4.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 1.0%Representativeness Heuristic0.0%This article: 2.6%Merlot Fogarty: 0.6%The Federalist: 0.7%Hindsight Bias2.6%This article: 3.8%Merlot Fogarty: 2.6%The Federalist: 2.0%Overconfidence Bias3.8%This article: 7.5%Merlot Fogarty: 9.1%The Federalist: 10.0%Framing Effect7.5%This article: 2.8%Merlot Fogarty: 0.7%The Federalist: 0.4%Loss Aversion2.8%This article: 6.9%Merlot Fogarty: 1.7%The Federalist: 0.5%Status Quo Bias6.9%This article: 2.8%Merlot Fogarty: 0.7%The Federalist: 0.2%Sunk Cost Effect2.8%This article: 7.0%Merlot Fogarty: 5.3%The Federalist: 0.9%Optimism Bias7.0%This article: 1.5%Merlot Fogarty: 0.4%The Federalist: 1.6%Pessimism Bias1.5%This article: 9.8%Merlot Fogarty: 5.6%The Federalist: 11.5%Negativity Bias9.8%This article: 4.8%Merlot Fogarty: 1.2%The Federalist: 0.8%Self-Serving Bias4.8%This article: 2.8%Merlot Fogarty: 0.7%The Federalist: 1.8%Fundamental Attribution Error2.8%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.1%Actor-Observer Bias0.0%This article: 2.8%Merlot Fogarty: 1.4%The Federalist: 3.7%In-Group Bias2.8%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 2.4%Out-Group Homogeneity Bias0.0%This article: 3.2%Merlot Fogarty: 0.8%The Federalist: 1.8%Halo Effect3.2%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.7%Horn Effect0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.0%Dunning-Kruger Effect0.0%This article: 6.5%Merlot Fogarty: 1.6%The Federalist: 1.1%Recency Bias6.5%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.5%Primacy Effect0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.1%Blind-Spot Bias0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 5.0%Ad Hominem0.0%This article: 0.0%Merlot Fogarty: 0.2%The Federalist: 2.7%Straw Man0.0%This article: 3.9%Merlot Fogarty: 1.9%The Federalist: 4.4%Appeal to Authority3.9%This article: 5.1%Merlot Fogarty: 3.6%The Federalist: 2.6%False Dilemma5.1%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 2.2%Slippery Slope0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.4%Circular Reasoning0.0%This article: 13.1%Merlot Fogarty: 9.4%The Federalist: 10.8%Hasty Generalization13.1%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.5%Red Herring0.0%This article: 13.8%Merlot Fogarty: 4.5%The Federalist: 0.5%Bandwagon13.8%This article: 5.7%Merlot Fogarty: 7.0%The Federalist: 8.0%Appeal to Emotion5.7%This article: 9.9%Merlot Fogarty: 3.3%The Federalist: 2.7%Begging the Question9.9%This article: 14.5%Merlot Fogarty: 5.5%The Federalist: 2.3%Post Hoc (False Cause)14.5%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.5%Tu Quoque0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.9%Burden of Proof0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.2%Appeal to Nature0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.4%Composition/Division0.0%This article: 30.5%Merlot Fogarty: 18.7%The Federalist: 2.7%Anecdotal30.5%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.3%No True Scotsman0.0%This article: 3.0%Merlot Fogarty: 0.8%The Federalist: 1.6%Ambiguity (Equivocation)3.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.1%Middle Ground0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.1%Personal Incredulity0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.2%Special Pleading0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.7%Genetic Fallacy0.0%This article: 2.6%Merlot Fogarty: 0.6%The Federalist: 2.8%Unattributed Quote2.6%This article: 3.5%Merlot Fogarty: 0.9%The Federalist: 1.9%Quote-first Misdirection3.5%This article: 16.5%Merlot Fogarty: 9.5%The Federalist: 18.8%Biased Writer Voice16.5%This article: 6.8%Merlot Fogarty: 4.5%The Federalist: 4.7%Indoctrination6.8%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Merlot Fogarty: 0.0%The Federalist: 15.6%Politically Right Leaning Bias0.0%This article: 2.6%Merlot Fogarty: 0.6%The Federalist: 1.3%Attempt to Sell a Product or S…2.6%

1127 words analyzed.

Speakers

2speakers9.0%attributed speech1,026writer words
Selected voice

Madeleine Kearns

100%flagged-word coverage
83 attributed words82% of attributed speech85% writer coverage
0%17.5%35.0%Quote-first Misdirection+32.6 ptsWriter: 1.2%Madeleine Kearns: 33.7%33.7%Biased Writer Voice-18.1 ptsWriter: 18.1%Madeleine Kearns: 0.0%0.0%Indoctrination-7.5 ptsWriter: 7.5%Madeleine Kearns: 0.0%0.0%Unattributed Quote-2.8 ptsWriter: 2.8%Madeleine Kearns: 0.0%0.0%Attempt to Sell a Product -2.8 ptsWriter: 2.8%Madeleine Kearns: 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.