Mayoral hopeful Spencer Pratt heads to the Valley, wooing voters in his rival’s district 61%

By David Zahniser51%

5/17/2026, 1:07:25 AM

BS Summary: This article contains 25 faulty reasoning types, including Framing Effect, Anecdotal, and Ambiguity (Equivocation), with Negativity Bias as the most egregious example at 17.8% saturation with 98 hits. Analysis detected 795 faulty-reasoning hits from 552 analyzed words, generating a BS Score of 56.8% and a BS Rank of 61% (8,358 of 21,198 articles). This article is worse (more manipulative) than 60.60% of the article peer group.

Lake Balboa resident Jose Meraz is looking for a mayor who will turn L.A. around, cleaning up streets that he says are “filled with garbage.” 
Schoolteacher Tracey Schroeder, a Republican candidate for state Assembly, is unhappy about crime, open-air drug use and the slow rebuilding effort in the wake of the Palisades fire, which destroyed thousands of homes. 
Greg Whitley, a resident of Reseda, said he’s frustrated with homelessness and the influx of what he called “criminal illegal aliens.” 
“I live with the Spanish community. 
Great people,” he said. 
“But these illegals that come here for criminal reasons, they’re making them look bad, and they don’t like it.” 
All three showed up outside a five-bedroom home in Sherman Oaks on Saturday, looking to speak with reality TV personality Spencer Pratt, now waging an insurgent campaign for Los Angeles mayor in the June 2 election. 
Standing in the entry to the home’s two-car garage, the onetime star of “The Hills” spent more than two hours shaking hands, giving hugs and posing for photos with his admirers, who waited in line under punishing San Fernando Valley sunshine. 
Pratt used social media to invite the public to the campaign event, which took place in the district represented by one of his mayoral opponents, City Councilmember Nithya Raman. 
He did not deliver any speeches outside the property, which is listed for rent on Zillow for $15,950 per month. 
He and a member of his security personnel said he was not taking interviews. 
Pratt has been running in voter surveys behind Mayor Karen Bass, who is running for reelection, sometimes swapping places with Raman for second and third. 
He turned in a strong debate performance this month and has been outpacing his rivals in fundraising, according to the most recent disclosure reports. 
While running for office, Pratt has blamed Bass for the 2025 wildfire that destroyed much of Pacific Palisades, including his home. 
He has railed against the city’s handling of homelessness, saying he would pursue a “treatment first” approach toward people with drug addiction who are living on the street. 
Pratt said recently that he wants to increase Los Angeles Police Department staffing to 12,500 officers over the next decade, up from about 8,600. 
Speaking with one supporter on Saturday, he said the city needs to “make sure all the laws are being enforced.” 
“Plenty of functioning cities enforce their laws,” he said. 
That message resonated with many of the people in line. 
“He is advocating for the safety and security of our families  specifically, for mothers to be able to walk their kids to school,” said Saba Lahar, a resident of Sherman Oaks, moments after talking to the candidate. 
Pratt fans dropped off ballots, picked up lawn signs and stopped to pick up coffee drinks from the Hustle N Dough doughnut truck parked out front. 
Some showed up even though they cannot cast ballots in L.A. 
Brian Rodda, who runs a walking food tour company, described himself as “an unsatisfied Angeleno” even though he lives in West Hollywood, which is not part of the city of L.A. 
“Sadly, because I do live in West Hollywood, I cannot vote for him,” he said. 
“But I certainly think we need a change.” 
Article reasoning-pattern comparisonThis article: 0.0%David Zahniser: 2.2%Daily Pilot: 2.9%Confirmation Bias0.0%This article: 3.6%David Zahniser: 0.5%Daily Pilot: 1.3%Anchoring Bias3.6%This article: 9.1%David Zahniser: 2.2%Daily Pilot: 3.5%Availability Heuristic9.1%This article: 5.6%David Zahniser: 1.4%Daily Pilot: 1.0%Representativeness Heuristic5.6%This article: 0.0%David Zahniser: 0.6%Daily Pilot: 0.9%Hindsight Bias0.0%This article: 0.0%David Zahniser: 0.8%Daily Pilot: 1.9%Overconfidence Bias0.0%This article: 14.1%David Zahniser: 9.0%Daily Pilot: 7.5%Framing Effect14.1%This article: 2.7%David Zahniser: 0.4%Daily Pilot: 0.9%Loss Aversion2.7%This article: 0.0%David Zahniser: 0.6%Daily Pilot: 0.9%Status Quo Bias0.0%This article: 0.0%David Zahniser: 0.1%Daily Pilot: 0.2%Sunk Cost Effect0.0%This article: 6.3%David Zahniser: 1.5%Daily Pilot: 3.6%Optimism Bias6.3%This article: 1.4%David Zahniser: 1.4%Daily Pilot: 1.4%Pessimism Bias1.4%This article: 17.8%David Zahniser: 8.8%Daily Pilot: 7.7%Negativity Bias17.8%This article: 3.8%David Zahniser: 4.1%Daily Pilot: 2.2%Self-Serving Bias3.8%This article: 0.0%David Zahniser: 1.4%Daily Pilot: 0.9%Fundamental Attribution Error0.0%This article: 0.0%David Zahniser: 0.3%Daily Pilot: 0.2%Actor-Observer Bias0.0%This article: 8.0%David Zahniser: 2.3%Daily Pilot: 1.7%In-Group Bias8.0%This article: 3.4%David Zahniser: 0.5%Daily Pilot: 0.6%Out-Group Homogeneity Bias3.4%This article: 0.7%David Zahniser: 1.9%Daily Pilot: 5.1%Halo Effect0.7%This article: 0.0%David Zahniser: 0.0%Daily Pilot: 0.3%Horn Effect0.0%This article: 0.0%David Zahniser: 0.0%Daily Pilot: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%David Zahniser: 1.7%Daily Pilot: 1.3%Recency Bias0.0%This article: 4.3%David Zahniser: 0.5%Daily Pilot: 0.4%Primacy Effect4.3%This article: 0.0%David Zahniser: 0.0%Daily Pilot: 0.1%Blind-Spot Bias0.0%This article: 0.0%David Zahniser: 2.8%Daily Pilot: 0.9%Ad Hominem0.0%This article: 0.0%David Zahniser: 0.8%Daily Pilot: 0.3%Straw Man0.0%This article: 6.0%David Zahniser: 3.2%Daily Pilot: 4.9%Appeal to Authority6.0%This article: 3.6%David Zahniser: 1.7%Daily Pilot: 1.2%False Dilemma3.6%This article: 0.0%David Zahniser: 0.4%Daily Pilot: 0.7%Slippery Slope0.0%This article: 0.0%David Zahniser: 0.2%Daily Pilot: 0.1%Circular Reasoning0.0%This article: 3.4%David Zahniser: 3.6%Daily Pilot: 4.4%Hasty Generalization3.4%This article: 3.6%David Zahniser: 0.3%Daily Pilot: 0.3%Red Herring3.6%This article: 1.8%David Zahniser: 0.8%Daily Pilot: 1.0%Bandwagon1.8%This article: 6.9%David Zahniser: 4.8%Daily Pilot: 5.7%Appeal to Emotion6.9%This article: 1.4%David Zahniser: 0.7%Daily Pilot: 0.7%Begging the Question1.4%This article: 3.8%David Zahniser: 2.0%Daily Pilot: 2.6%Post Hoc (False Cause)3.8%This article: 0.0%David Zahniser: 0.5%Daily Pilot: 0.1%Tu Quoque0.0%This article: 0.0%David Zahniser: 0.4%Daily Pilot: 0.4%Burden of Proof0.0%This article: 0.0%David Zahniser: 0.0%Daily Pilot: 0.2%Appeal to Nature0.0%This article: 0.0%David Zahniser: 0.2%Daily Pilot: 0.3%Composition/Division0.0%This article: 13.8%David Zahniser: 1.0%Daily Pilot: 2.8%Anecdotal13.8%This article: 0.0%David Zahniser: 0.3%Daily Pilot: 0.1%No True Scotsman0.0%This article: 12.9%David Zahniser: 1.2%Daily Pilot: 1.6%Ambiguity (Equivocation)12.9%This article: 0.0%David Zahniser: 0.0%Daily Pilot: 0.0%Gambler’s Fallacy0.0%This article: 0.0%David Zahniser: 0.0%Daily Pilot: 0.1%Middle Ground0.0%This article: 0.0%David Zahniser: 0.0%Daily Pilot: 0.1%Personal Incredulity0.0%This article: 0.0%David Zahniser: 0.4%Daily Pilot: 0.2%Special Pleading0.0%This article: 0.0%David Zahniser: 0.3%Daily Pilot: 0.3%Genetic Fallacy0.0%This article: 1.1%David Zahniser: 1.8%Daily Pilot: 1.3%Unattributed Quote1.1%This article: 0.0%David Zahniser: 1.5%Daily Pilot: 0.8%Quote-first Misdirection0.0%This article: 0.0%David Zahniser: 3.7%Daily Pilot: 6.0%Biased Writer Voice0.0%This article: 0.0%David Zahniser: 0.3%Daily Pilot: 1.5%Indoctrination0.0%This article: 0.0%David Zahniser: 0.6%Daily Pilot: 0.9%Politically Left Leaning Bias0.0%This article: 0.0%David Zahniser: 0.2%Daily Pilot: 0.3%Politically Right Leaning Bias0.0%This article: 4.7%David Zahniser: 0.5%Daily Pilot: 4.0%Attempt to Sell a Product or S…4.7%

552 words analyzed.

Speakers

5speakers40%attributed speech332writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 0.0% coverageJose Meraz • 25 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageGreg Whitley • 21 words • 0.0% coverageGreg Whitley • 6 words • 100.0% coverageGreg Whitley • 4 words • 0.0% coverageGreg Whitley • 19 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageSpencer Pratt • 24 words • 0.0% coverageSpencer Pratt • 20 words • 0.0% coverageSpencer Pratt • 9 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageSaba Lahar • 38 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageBrian Rodda • 31 words • 0.0% coverageBrian Rodda • 15 words • 0.0% coverageBrian Rodda • 8 words • 0.0% coverage
Selected voice

Greg Whitley

100%flagged-word coverage
50 attributed words23% of attributed speech80% writer coverage
0%7.5%15.0%Unattributed Quote+12.0 ptsWriter: 0.0%Greg Whitley: 12.0%12.0%Attempt to Sell a Product -7.8 ptsWriter: 7.8%Greg Whitley: 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.