She fled genital mutilation in Togo. The U.S. deported her. 48%

By Tobi Raji0%

5/10/2026, 2:00:53 AM

BS Summary: This article contains 21 faulty reasoning types, including Appeal to Authority, Appeal to Emotion, and Framing Effect, with Negativity Bias as the most egregious example at 33% saturation with 221 hits. Analysis detected 1,132 faulty-reasoning hits from 669 analyzed words, generating a BS Score of 48.9% and a BS Rank of 48% (11,561 of 21,887 articles). This article is better (less manipulative) than 52.80% of the article peer group.

The 28-year-old began to panic when she learned where the military cargo plane, newly departed from a tarmac in Louisiana, was taking her. 
The United States was deporting her and 13 other West Africans to Ghana, a country none of them called their own. 
From there, she feared, she would be sent on to neighboring Togo, the home she had fled to avoid genital mutilation. 
A U.S. judge had ruled that she could not be deported to Togo, where she faced the risk of female genital mutilation, a practice that is widespread in the West African nation. 
But the Trump administration had found a workaround: third-country deportations, in which migrants are sent to a nation other than their own. 
The woman, whose name is being withheld by The Washington Post to protect her safety, was one of hundreds of migrants deported to third countries during the Trump administration. 
These deportations, which have continued under the Biden administration, have drawn criticism from immigration advocates who say they violate international law and put vulnerable people at risk. 
The woman’s deportation to Ghana was part of a broader strategy by the Trump administration to deter migration by sending people to countries that were not their own, according to immigration experts and government data. 
In fiscal year 2019, the last full year of the Trump administration, more than 1,000 migrants were deported to third countries, according to the Department of Homeland Security. 
The practice has been used to deport people to countries where they have no ties, including some that are considered unsafe. 
In the woman’s case, she was sent to Ghana, which has a history of human rights abuses and is not a signatory to the United Nations refugee convention. 
When the plane landed in Accra, the capital of Ghana, the woman was taken to a detention center. 
She was held there for several days before Ghanaian authorities determined that she was not Ghanaian and sent her back to Togo. 
“I was so scared,” the woman said in an interview from Togo. 
“I didn’t know what was going to happen to me.” 
The woman’s story is not unique. 
Immigration advocates say that third-country deportations are a way for the U.S. government to avoid its obligations under international law, which prohibits returning refugees to countries where they face persecution. 
“Third-country deportations are a way to circumvent the legal protections that asylum seekers have,” said David Bier, a senior policy analyst at the Cato Institute. 
“It’s a way to send people to places where they don’t have any protection.” 
The Trump administration defended the practice, saying it was necessary to deter migration and protect national security. 
“Third-country deportations are an important tool to ensure that individuals who do not qualify for protection in the United States are removed from our country,” said a spokesperson for Immigration and Customs Enforcement. 
The woman’s deportation to Ghana was one of several high-profile cases that drew attention to the practice. 
In 2018, a group of Central American migrants was deported to Mexico, where they faced violence and extortion. 
In 2019, a group of African migrants was deported to Mauritania, a country with a history of slavery and human rights abuses. 
The Biden administration has continued the practice, though at a slower rate. 
In fiscal year 2021, the number of third-country deportations dropped to 300, according to DHS data. 
But advocates say that even one third-country deportation is too many. 
“These deportations are a violation of international law and put people at risk,” said Eleanor Acer, director of refugee protection at Human Rights First. 
“The U.S. government has a responsibility to protect asylum seekers, not send them to danger.” 
The woman in this story is now back in Togo, where she faces the risk of genital mutilation. 
She is trying to find a way to return to the United States, but her options are limited. 
“I just want to be safe,” she said. 
“I don’t want to be mutilated.” 
Article reasoning-pattern comparisonThis article: 9.7%Tobi Raji: 3.6%The Washington Post: 3.8%Confirmation Bias9.7%This article: 2.4%Tobi Raji: 0.6%The Washington Post: 1.3%Anchoring Bias2.4%This article: 10.3%Tobi Raji: 3.2%The Washington Post: 4.9%Availability Heuristic10.3%This article: 4.0%Tobi Raji: 1.0%The Washington Post: 1.0%Representativeness Heuristic4.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.5%Hindsight Bias0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 1.2%Overconfidence Bias0.0%This article: 10.6%Tobi Raji: 6.4%The Washington Post: 21.5%Framing Effect10.6%This article: 2.2%Tobi Raji: 0.6%The Washington Post: 0.8%Loss Aversion2.2%This article: 4.9%Tobi Raji: 1.2%The Washington Post: 0.9%Status Quo Bias4.9%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Sunk Cost Effect0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 3.6%Optimism Bias0.0%This article: 7.9%Tobi Raji: 3.7%The Washington Post: 3.6%Pessimism Bias7.9%This article: 33.0%Tobi Raji: 21.0%The Washington Post: 18.5%Negativity Bias33.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 1.5%Self-Serving Bias0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Actor-Observer Bias0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 2.2%In-Group Bias0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 2.1%Halo Effect0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.4%Horn Effect0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.0%Dunning-Kruger Effect0.0%This article: 8.4%Tobi Raji: 2.1%The Washington Post: 2.4%Recency Bias8.4%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 1.0%Primacy Effect0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.0%Blind-Spot Bias0.0%This article: 4.0%Tobi Raji: 1.0%The Washington Post: 0.9%Ad Hominem4.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Straw Man0.0%This article: 17.3%Tobi Raji: 7.3%The Washington Post: 5.2%Appeal to Authority17.3%This article: 7.2%Tobi Raji: 2.4%The Washington Post: 1.5%False Dilemma7.2%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 1.0%Slippery Slope0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Circular Reasoning0.0%This article: 4.0%Tobi Raji: 2.0%The Washington Post: 5.9%Hasty Generalization4.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Red Herring0.0%This article: 2.5%Tobi Raji: 0.6%The Washington Post: 0.5%Bandwagon2.5%This article: 16.3%Tobi Raji: 9.3%The Washington Post: 6.3%Appeal to Emotion16.3%This article: 4.5%Tobi Raji: 1.1%The Washington Post: 1.0%Begging the Question4.5%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 4.5%Post Hoc (False Cause)0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.2%Tu Quoque0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.6%Burden of Proof0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Appeal to Nature0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Composition/Division0.0%This article: 7.8%Tobi Raji: 6.4%The Washington Post: 1.9%Anecdotal7.8%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.2%No True Scotsman0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 2.7%Ambiguity (Equivocation)0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.0%Gambler’s Fallacy0.0%This article: 1.6%Tobi Raji: 0.4%The Washington Post: 0.1%Middle Ground1.6%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.0%Personal Incredulity0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.1%Special Pleading0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 0.2%Genetic Fallacy0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 4.8%Unattributed Quote0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 2.5%Quote-first Misdirection0.0%This article: 4.8%Tobi Raji: 8.5%The Washington Post: 15.2%Biased Writer Voice4.8%This article: 5.5%Tobi Raji: 1.4%The Washington Post: 2.0%Indoctrination5.5%This article: 0.0%Tobi Raji: 3.4%The Washington Post: 3.6%Politically Left Leaning Bias0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 1.4%Politically Right Leaning Bias0.0%This article: 0.0%Tobi Raji: 0.0%The Washington Post: 1.5%Attempt to Sell a Product or S…0.0%

669 words analyzed.

Speakers

3speakers17%attributed speech558writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageDavid Bier • 25 words • 0.0% coverageDavid Bier • 14 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageImmigration and Customs Enforcement • 33 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageEleanor Acer • 24 words • 0.0% coverageEleanor Acer • 15 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverage
Selected voice

Eleanor Acer

100%flagged-word coverage
39 attributed words35% of attributed speech83% writer coverage
0%20.0%40.0%Indoctrination+34.5 ptsWriter: 3.9%Eleanor Acer: 38.5%38.5%Biased Writer Voice-5.7 ptsWriter: 5.7%Eleanor Acer: 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.