KQED⁠60%

‘We’re Still Here’: Celebrating Juneteenth in the Fillmore ⁠29%

By Jessica Kariisa⁠0% Alan Montecillo⁠0% Ericka Cruz Guevarra⁠0%

6/19/2026, 10:00:56 AM

BS Summary: This article contains 16 faulty reasoning types, including Attempt to Sell a Product or Service, Biased Writer Voice, and Representativeness Heuristic, with In-Group Bias as the most egregious example at 22.6% saturation with 31 hits. Analysis detected 338 faulty-reasoning hits from 137 analyzed words, generating a BS Score of 39.8% and a BS Rank of ⁠29% (14,590 of 20,516 articles). This article is better (less manipulative) than 71.10% of the article peer group.

In 1945, Wesley Johnson, a San Francisco State graduate from Texas, rode down Fillmore Street, announcing Juneteenth and inviting all around to celebrate. 
At that time, the Fillmore district was the heart of San Francisco’s Black community, and famously known as the ‘Harlem of the West.’ 
But over the decades, systemic displacement in the name of urban renewal has dramatically shrunk the neighborhood’s Black population. 
Between 1970 and 2020, the Black population in the Fillmore dropped from 57% to just 16%. 
In this episode, we head to the Fillmore’s annual Juneteenth celebration and talk to a Fillmore native dedicated to keeping the community alive. 
Some members of the KQED podcast team are represented by The Screen Actors Guild, American Federation of Television and Radio Artists, San Francisco-Northern California Local. 
Article reasoning-pattern comparisonThis article: 13.9%Jessica Kariisa: 1.5%CalMatters: 1.9%Confirmation Bias13.9%This article: 0.0%Jessica Kariisa: 1.5%CalMatters: 0.9%Anchoring Bias0.0%This article: 0.0%Jessica Kariisa: 3.8%CalMatters: 3.0%Availability Heuristic0.0%This article: 16.8%Jessica Kariisa: 2.1%CalMatters: 1.0%Representativeness Heuristic16.8%This article: 0.0%Jessica Kariisa: 0.1%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 1.2%Overconfidence Bias0.0%This article: 5.8%Jessica Kariisa: 10.8%CalMatters: 6.3%Framing Effect5.8%This article: 0.0%Jessica Kariisa: 0.8%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Jessica Kariisa: 0.6%CalMatters: 0.7%Status Quo Bias0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 16.8%Jessica Kariisa: 1.9%CalMatters: 3.6%Optimism Bias16.8%This article: 0.0%Jessica Kariisa: 3.1%CalMatters: 1.4%Pessimism Bias0.0%This article: 13.9%Jessica Kariisa: 10.6%CalMatters: 6.4%Negativity Bias13.9%This article: 0.0%Jessica Kariisa: 0.2%CalMatters: 1.7%Self-Serving Bias0.0%This article: 0.0%Jessica Kariisa: 0.4%CalMatters: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 22.6%Jessica Kariisa: 2.8%CalMatters: 1.7%In-Group Bias22.6%This article: 0.0%Jessica Kariisa: 0.9%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 16.8%Jessica Kariisa: 3.9%CalMatters: 2.7%Halo Effect16.8%This article: 0.0%Jessica Kariisa: 0.3%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 11.7%Jessica Kariisa: 2.5%CalMatters: 0.9%Recency Bias11.7%This article: 0.0%Jessica Kariisa: 0.6%CalMatters: 0.3%Primacy Effect0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Jessica Kariisa: 0.6%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.2%Straw Man0.0%This article: 11.7%Jessica Kariisa: 1.6%CalMatters: 3.1%Appeal to Authority11.7%This article: 0.0%Jessica Kariisa: 3.2%CalMatters: 1.1%False Dilemma0.0%This article: 0.0%Jessica Kariisa: 0.1%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Jessica Kariisa: 4.4%CalMatters: 3.6%Hasty Generalization0.0%This article: 0.0%Jessica Kariisa: 0.4%CalMatters: 0.2%Red Herring0.0%This article: 0.0%Jessica Kariisa: 0.2%CalMatters: 0.7%Bandwagon0.0%This article: 16.8%Jessica Kariisa: 4.0%CalMatters: 5.3%Appeal to Emotion16.8%This article: 0.0%Jessica Kariisa: 0.4%CalMatters: 0.6%Begging the Question0.0%This article: 13.9%Jessica Kariisa: 2.4%CalMatters: 2.0%Post Hoc (False Cause)13.9%This article: 0.0%Jessica Kariisa: 0.6%CalMatters: 0.1%Tu Quoque0.0%This article: 0.0%Jessica Kariisa: 0.2%CalMatters: 0.3%Burden of Proof0.0%This article: 0.0%Jessica Kariisa: 0.3%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Jessica Kariisa: 0.5%CalMatters: 0.2%Composition/Division0.0%This article: 0.0%Jessica Kariisa: 3.3%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 16.8%Jessica Kariisa: 1.3%CalMatters: 1.2%Ambiguity (Equivocation)16.8%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jessica Kariisa: 0.1%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Jessica Kariisa: 0.0%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Jessica Kariisa: 0.7%CalMatters: 0.1%Genetic Fallacy0.0%This article: 16.8%Jessica Kariisa: 4.5%CalMatters: 0.8%Unattributed Quote16.8%This article: 0.0%Jessica Kariisa: 1.0%CalMatters: 0.6%Quote-first Misdirection0.0%This article: 17.5%Jessica Kariisa: 6.5%CalMatters: 3.1%Biased Writer Voice17.5%This article: 16.8%Jessica Kariisa: 0.9%CalMatters: 1.9%Indoctrination16.8%This article: 0.0%Jessica Kariisa: 1.1%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Jessica Kariisa: 0.4%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 18.2%Jessica Kariisa: 1.0%CalMatters: 1.2%Attempt to Sell a Product or S…18.2%

137 words analyzed.

Speakers

1speaker18%attributed speech112writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageKQED podcast team • 25 words • 100.0% coverage
Selected voice

KQED podcast team

100%flagged-word coverage
25 attributed words100% of attributed speech100% writer coverage
0%50.0%100.0%Attempt to Sell a Product +100.0 ptsWriter: 0.0%KQED podcast team: 100.0%100.0%Biased Writer Voice-21.4 ptsWriter: 21.4%KQED podcast team: 0.0%0.0%Unattributed Quote-20.5 ptsWriter: 20.5%KQED podcast team: 0.0%0.0%Indoctrination-20.5 ptsWriter: 20.5%KQED podcast team: 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.