New Year’s Day downpour floods Southern California highways71%

By Jeanette Marantos0% Iris Kwok64%

1/1/2026, 8:28:29 PM

BS Summary: This article contains 11 faulty reasoning types, including Negativity Bias, Recency Bias, and Appeal to Authority, with Availability Heuristic as the most egregious example at 31.4% saturation with 171 hits. Analysis detected 703 faulty-reasoning hits from 544 analyzed words, generating a BS Score of 63.3% and a BS Rank of 71% (6,505 of 21,887 articles). This article is worse (more manipulative) than 70.30% of the article peer group.

A rare Jan. 1 rainstorm drenched Southern California, triggering slides and major road closures across the Los Angeles area, as well as swift water rescues on San Diego roadways. 
Flooding of the 5 Freeway in the San Fernando Valley prompted Caltrans to shut down all lanes between Tuxford Street and Lankershim Boulevard for several hours, while a mudslide closed Big Tujunga Canyon Road in Angeles National Forest between the Angeles Forest Highway and Vogel Flat Road  just the latest in a long list of county road closures due to flooding and slides since Dec. 24. 
In San Diego, emergency crews worked to rescue motorists who found themselves trapped on flooded roadways Thursday. 
“Our swiftwater rescue teams are actively working to rescue individuals stuck in their cars along Fashion Valley Rd & Riverwalk Dr.,” read a statement from the San Diego Fire Department around 10 a.m. 
“Stay safe, SD. 
Please avoid the area & never walk or drive through floodwaters.” 
A San Diego Police Department spokesman said a man and his young daughter were caught in their blue Jeep by deep, fast-moving water and rescued without incident by San Diego Fire-Rescue emergency crews. 
The storm, which the National Weather Service described as “very juicy,” began around 3:45 a.m. Thursday. 
By 10 a.m. it had dumped 1.21 inches of rain on east Pasadena and downtown Los Angeles had received 1.33 inches, according to the weather service. 
Typically, New Year’s Day is rain-free in the Los Angeles area. 
According to the National Weather Service, rain has fallen on just 10% of all New Year’s Days between 1878 and 2025. 
The record for the holiday was in 1934, when it rained 3.12 inches in Pasadena. 
That was also the year Los Angeles received more than one inch of rain on the first day of the year. 
The Los Angeles area has already seen heavier-than-normal precipitation this rainy season, which began Oct. 1. 
As of Wednesday, downtown L.A. had already received 11.64 inches of rain, which is 7.8 inches above normal, according to meteorologist Mike Wofford of the weather service. 
The rainfall appeared to dampen enthusiasm for the 2026 Rose Parade somewhat, as the crowds that begin filling Pasadena sidewalks hours before Thursday’s procession were smaller than in years prior. 
Those who did attend used umbrellas, ponchos and awnings to protect themselves from the downpour. 
Retired USPS letter carrier Michael Bartley, 66, was keeping warm with a patio heater as he sat under an awning at 7 a.m., saving spaces for his family at their traditional viewing place at Madison Avenue and Colorado Boulevard. 
Bartley has attended about a dozen parades, and was present the last time it rained on the Rose Parade in 2006. 
Bartley drove in from his home in Buckeye, Ariz., on Wednesday and slept in his car to secure front-row seating for his family. 
He wasn’t too bothered by the downpour. 
“It’s amazing what a little rain will do.... 
There’s nobody over there,” he said, gesturing to a row of empty folding chairs. 
By 10 a.m, the storm appeared to be mostly over, according to Wofford. 
However, the sunshine will not last. 
“We’ll be seeing light rain tomorrow afternoon and evening and the beginning of another storm coming in over the weekend,” he said. 
Article reasoning-pattern comparisonThis article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.2%Actor-Observer Bias0.0%This article: 13.8%Jeanette Marantos: 8.2%Daily Pilot: 1.2%Anchoring Bias13.8%This article: 31.4%Jeanette Marantos: 21.0%Daily Pilot: 3.5%Availability Heuristic31.4%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jeanette Marantos: 3.8%Daily Pilot: 2.9%Confirmation Bias0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jeanette Marantos: 7.8%Daily Pilot: 7.5%Framing Effect0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Jeanette Marantos: 2.8%Daily Pilot: 5.1%Halo Effect0.0%This article: 5.5%Jeanette Marantos: 3.0%Daily Pilot: 0.9%Hindsight Bias5.5%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.2%Horn Effect0.0%This article: 0.0%Jeanette Marantos: 9.2%Daily Pilot: 1.6%In-Group Bias0.0%This article: 0.0%Jeanette Marantos: 0.5%Daily Pilot: 0.9%Loss Aversion0.0%This article: 29.2%Jeanette Marantos: 13.9%Daily Pilot: 7.8%Negativity Bias29.2%This article: 1.3%Jeanette Marantos: 5.8%Daily Pilot: 3.6%Optimism Bias1.3%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.6%Out-Group Homogeneity Bias0.0%This article: 0.0%Jeanette Marantos: 2.3%Daily Pilot: 1.9%Overconfidence Bias0.0%This article: 5.1%Jeanette Marantos: 1.7%Daily Pilot: 1.4%Pessimism Bias5.1%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.4%Primacy Effect0.0%This article: 16.2%Jeanette Marantos: 13.0%Daily Pilot: 1.3%Recency Bias16.2%This article: 2.0%Jeanette Marantos: 2.6%Daily Pilot: 1.0%Representativeness Heuristic2.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 2.2%Self-Serving Bias0.0%This article: 0.0%Jeanette Marantos: 1.1%Daily Pilot: 0.9%Status Quo Bias0.0%This article: 0.0%Jeanette Marantos: 1.1%Daily Pilot: 0.2%Sunk Cost Effect0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.9%Ad Hominem0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 1.6%Ambiguity (Equivocation)0.0%This article: 3.9%Jeanette Marantos: 5.3%Daily Pilot: 2.8%Anecdotal3.9%This article: 15.3%Jeanette Marantos: 7.4%Daily Pilot: 4.9%Appeal to Authority15.3%This article: 0.0%Jeanette Marantos: 8.2%Daily Pilot: 5.7%Appeal to Emotion0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.2%Appeal to Nature0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 1.0%Bandwagon0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.7%Begging the Question0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.4%Burden of Proof0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.1%Circular Reasoning0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.3%Composition/Division0.0%This article: 0.0%Jeanette Marantos: 2.1%Daily Pilot: 1.2%False Dilemma0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.3%Genetic Fallacy0.0%This article: 0.0%Jeanette Marantos: 17.8%Daily Pilot: 4.4%Hasty Generalization0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.1%Middle Ground0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.1%No True Scotsman0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.1%Personal Incredulity0.0%This article: 5.5%Jeanette Marantos: 3.0%Daily Pilot: 2.6%Post Hoc (False Cause)5.5%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.3%Red Herring0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.7%Slippery Slope0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.2%Special Pleading0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.3%Straw Man0.0%This article: 0.0%Jeanette Marantos: 0.0%Daily Pilot: 0.1%Tu Quoque0.0%

544 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.