KQED61%

San Francisco Police Recover Body During Search for Sunken Vessel 13%

By Katie DeBenedetti69%

7/16/2026, 5:10:00 PM

BS Summary: This article contains 17 faulty reasoning types, including Framing Effect, Negativity Bias, and Appeal to Authority, with Availability Heuristic as the most egregious example at 17% saturation with 94 hits. Analysis detected 669 faulty-reasoning hits from 553 analyzed words, generating a BS Score of 30% and a BS Rank of 13% (19,031 of 21,887 articles). This article is better (less manipulative) than 87.00% of the article peer group.

San Francisco police recovered a body from the water west of Treasure Island Thursday afternoon during the search and recovery effort for three missing passengers who were aboard a boat that capsized near Alcatraz Tuesday afternoon. 
The San Francisco Police Department said in a news release that officers assigned to a marine unit were conducting sonar scanning around 1 p.m. when a passing vessel alerted them to the body. 
The identity of the person has not been released. 
The Office of the Chief Medical Examiner is expected to release the name publicly after notifying the person’s next of kin. 
SFPD Marine Unit divers have been coordinating with the U.S. 
Coast Guard to locate the vessel, which is estimated to be at least 120 feet below sea level on a rocky seabed, according to the agency. 
SFPD took over the recovery operation after the Coast Guard suspended its search for the missing people, all family and close friends who had embarked on a trip on the San Francisco Bay for a memorial, at sunset Wednesday night. 
Coast Guard Capt. 
Jarod Toczko said officers had covered a 950 square nautical mile area, with no success, during their 29-hour search. 
“Suspending an active search is one of the most difficult things we do as Coast Guard commanders,” Toczko told reporters on Wednesday afternoon. 
“I don’t take that responsibility lightly at all. 
Our goal is always to bring home families, loved ones, and we understand that families want answers. 
And that is never lost on us.” 
He said there’s a “high possibility” that the remaining passengers could be trapped inside the 49-foot multi-story boat, which took on a wave and quickly lost stability. 
“We’ve done survivor debriefs, and we do know that individuals were in the main deck and potentially below deck,” he said. 
“However, that is gonna come out in the investigation stage of this. 
We’re still focused on the search and rescue, trying our best to see if we can locate the three missing individuals.” 
According to Ralph Boisa, 77, whose three siblings and daughter were on the boat, multiple of the missing people were in the main cabin at the time. 
Ralph said his daughter, Yvonne Thatcher, who was also on the vessel with her family, told him that she was inside with Ralph’s older brother, Clifford, his wife, Jackie, and a third woman when they began to take on water. 
“She managed to get to the door and get out, just before the boat fully went under,” Ralph said. 
First responders rescued Clifford Boisa, 79, in “severe distress” and initiated CPR, but after transporting him to Gas House Cove in the Marina District, he was pronounced dead. 
Ralph and Clifford’s sister, Carol, Jackie and a third woman, who has not been identified, are still missing. 
Sixteen other passengers were rescued, in part thanks to civilian fishing boats and a kiteboarder. 
SFPD officials say once the vessel is located, the department will work with the Coast Guard and other partners to determine recovery options. 
On Wednesday, SFPD Commander Brien Hoo said that since the vessel is believed to be at a depth of at least 120 feet, they would work with private companies specializing in diving recovery if pulling the boat out is feasible. 
Article reasoning-pattern comparisonThis article: 3.4%Katie DeBenedetti: 2.5%CalMatters: 1.9%Confirmation Bias3.4%This article: 0.0%Katie DeBenedetti: 1.5%CalMatters: 0.9%Anchoring Bias0.0%This article: 17.0%Katie DeBenedetti: 3.6%CalMatters: 3.0%Availability Heuristic17.0%This article: 0.0%Katie DeBenedetti: 0.9%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 0.0%Katie DeBenedetti: 0.6%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%Katie DeBenedetti: 1.1%CalMatters: 1.2%Overconfidence Bias0.0%This article: 16.3%Katie DeBenedetti: 8.9%CalMatters: 6.3%Framing Effect16.3%This article: 0.0%Katie DeBenedetti: 1.0%CalMatters: 1.0%Loss Aversion0.0%This article: 4.2%Katie DeBenedetti: 0.7%CalMatters: 0.7%Status Quo Bias4.2%This article: 0.0%Katie DeBenedetti: 0.4%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 8.3%Katie DeBenedetti: 4.0%CalMatters: 3.5%Optimism Bias8.3%This article: 3.8%Katie DeBenedetti: 1.6%CalMatters: 1.4%Pessimism Bias3.8%This article: 13.6%Katie DeBenedetti: 8.9%CalMatters: 6.4%Negativity Bias13.6%This article: 3.1%Katie DeBenedetti: 2.6%CalMatters: 1.7%Self-Serving Bias3.1%This article: 4.9%Katie DeBenedetti: 0.9%CalMatters: 0.7%Fundamental Attribution Error4.9%This article: 0.0%Katie DeBenedetti: 0.3%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Katie DeBenedetti: 2.1%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Katie DeBenedetti: 0.3%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 2.7%Katie DeBenedetti: 1.8%CalMatters: 2.7%Halo Effect2.7%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Katie DeBenedetti: 1.5%CalMatters: 0.9%Recency Bias0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.3%Primacy Effect0.0%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Katie DeBenedetti: 1.3%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.2%Straw Man0.0%This article: 11.4%Katie DeBenedetti: 3.5%CalMatters: 3.1%Appeal to Authority11.4%This article: 7.2%Katie DeBenedetti: 1.3%CalMatters: 1.1%False Dilemma7.2%This article: 0.0%Katie DeBenedetti: 1.1%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Katie DeBenedetti: 3.7%CalMatters: 3.6%Hasty Generalization0.0%This article: 0.0%Katie DeBenedetti: 0.4%CalMatters: 0.2%Red Herring0.0%This article: 0.0%Katie DeBenedetti: 0.9%CalMatters: 0.7%Bandwagon0.0%This article: 4.3%Katie DeBenedetti: 9.1%CalMatters: 5.3%Appeal to Emotion4.3%This article: 2.2%Katie DeBenedetti: 1.0%CalMatters: 0.6%Begging the Question2.2%This article: 0.0%Katie DeBenedetti: 2.2%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.1%Tu Quoque0.0%This article: 0.0%Katie DeBenedetti: 0.4%CalMatters: 0.3%Burden of Proof0.0%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.2%Composition/Division0.0%This article: 8.3%Katie DeBenedetti: 2.5%CalMatters: 3.1%Anecdotal8.3%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 7.2%Katie DeBenedetti: 1.5%CalMatters: 1.2%Ambiguity (Equivocation)7.2%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Katie DeBenedetti: 0.0%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Katie DeBenedetti: 0.1%CalMatters: 0.1%Genetic Fallacy0.0%This article: 0.0%Katie DeBenedetti: 0.9%CalMatters: 0.8%Unattributed Quote0.0%This article: 0.0%Katie DeBenedetti: 1.0%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 3.1%Katie DeBenedetti: 1.7%CalMatters: 3.1%Biased Writer Voice3.1%This article: 0.0%Katie DeBenedetti: 1.1%CalMatters: 1.9%Indoctrination0.0%This article: 0.0%Katie DeBenedetti: 1.6%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Katie DeBenedetti: 0.2%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

553 words analyzed.

Speakers

9speakers82%attributed speech98writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageSan Francisco Police Department • 33 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageOffice of the Chief Medical Examiner • 21 words • 0.0% coverageSFPD Marine Unit • 10 words • 0.0% coverageCoast Guard • 26 words • 0.0% coverageSFPD • 40 words • 0.0% coverageCoast Guard • 3 words • 0.0% coverageJarod Toczko • 19 words • 0.0% coverageJarod Toczko • 23 words • 0.0% coverageJarod Toczko • 8 words • 0.0% coverageJarod Toczko • 17 words • 100.0% coverageJarod Toczko • 7 words • 0.0% coverageJarod Toczko • 27 words • 0.0% coverageJarod Toczko • 21 words • 0.0% coverageJarod Toczko • 12 words • 0.0% coverageJarod Toczko • 21 words • 0.0% coverageRalph Boisa • 27 words • 0.0% coverageRalph Boisa • 40 words • 0.0% coverageRalph Boisa • 19 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageRalph Boisa • 18 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageSFPD officials • 23 words • 0.0% coverageBrien Hoo • 40 words • 0.0% coverage
Selected voice

Brien Hoo

100%flagged-word coverage
40 attributed words8.8% of attributed speech54% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.