‘This is something else’: Two Las Vegas runners finish Badwater 135 5%

By Sophie Baker3%

8/2/2026, 6:00:27 AM

BS Summary: This article contains 23 faulty reasoning types, including Self-Serving Bias, Negativity Bias, and Anecdotal, with Optimism Bias as the most egregious example at 9.9% saturation with 115 hits. Analysis detected 750 faulty-reasoning hits from 1,162 analyzed words, generating a BS Score of 13.8% and a BS Rank of 5% (26,275 of 27,510 articles). This article is better (less manipulative) than 95.50% of the article peer group.

Staring down the massive wall of the Sierra Nevada last week, Edher Ruben Ramirez said he felt small and alone. 
He had been running for hours through the desert, seeing only his crew and a handful of other runners. 
Landmarks and towns that appeared miles ahead seemed tantalizingly close. 
“When you can see it, it’s like, ‘Oh, it’s approachable,’  Ramirez said. 
“But after hours and hours, you’re like, ‘Oh no, this is a very vast place, and I still have to get over two more (mountain) ranges.’ 
It was overwhelming, to say the least.” 
Along with Karla Kent, Ramirez was one of two Las Vegas runners who took on the Mount to Coast Badwater 135 Ultramarathon this year. 
The race started Monday night in Badwater Basin in Death Valley National Park, 282 feet below sea level, and took runners across one of the most inhospitable places on the planet to the Whitney Portal at 8,300 feet above sea level for a cumulative ascent of 14,600 feet. 
This year, this grueling course had to be completed in 45 hours. 
The top two finishers took substantially less time to finish. 
Max Jolliffe broke 21 hours for the first time in the race’s history, and Carmen Maria Perez finished second overall in 21 hours and five minutes, setting the women’s course record. 
Ramirez finished his first-ever Badwater in 25 hours and 45 minutes, while Kent finished her 14th in 43 hours and 10 minutes. 
A 14th finish 
Kent, 63, has worked as a dealer at the Bellagio since it opened. 
She crossed the finish line on Wednesday afternoon. 
She returned to work Thursday night. 
“If it’s so close to the race, you have that euphoria that kind of blocks the other things,” Kent said. 
“Yeah, I’m tired, but I just finished another Badwater, and that makes you feel pretty good.” 
Every year, Kent starts the race with one goal: to cross the finish line. 
She said she’ll continue to run it until she no longer makes the time cutoff. 
The race organizers shortened the time limit from 48 hours to 45 hours this year. 
Kent completed the course an hour faster than she had in 2025. 
She said that this shortened limit forced her to pick up the pace. 
For Kent, the race went “as smooth as it can.” 
She took a few 15 minute naps  a couple in her car and one in a cabin the race organizers book at the halfway point in Panamint Springs. 
Although she has now run the race every year it has been held since 2012, she said she couldn’t get complacent with her training. 
“Once you start thinking that you know what you’re doing and you’re like, ‘It’s just gonna go smoothly,’ without preparing enough, that’s when things happen,” she said. 
“Every year, I try to treat it with respect.” 
After the race, Kent remarked on the scenery. 
She said the rising moon on the second night was “really nice.” 
Another highlight, she said, was watching the race leaders, who started in a later wave, run past. 
While Kent said she “can’t imagine what it’s like to run that fast,” she joked that her slower pace meant that she had to suffer for twice as long. 
“The people that are done 20 hours or 15 hours before me, obviously spend less time in the oven,” she said. 
Temperatures on the course this year approached 120 degrees in the afternoon and cooled down to only the 90s overnight. 
To survive that extended stretch in the heat, Kent said that her crew was “essential” to her success. 
Kent’s daughter, Kerstin, travels from Hawaii every year to crew for her mom, ensuring that Kent is fed and hydrated. 
In October, Kent will run The Mammoth, a 214-mile race through the Eastern Sierra. 
She said she’ll probably take a few days off, but will get back to running next week. 
She hoped that her story can inspire others to push themselves beyond what they think they’re capable of. 
“You don’t have to be the perfect athlete,” she said. 
“You don’t have to be young. 
You can do a lot more than you think you can do.” 
A grueling debut 
For Ramirez, the race was unlike anything he had ever experienced. 
“I’ve been in Death Valley before, so I thought I knew what I was expecting,” he said. 
“But no, this is something else.” 
Going into the race, he said his goal was to finish in under 24 hours and land on the podium. 
That plan changed as he pushed through the heat, battling nausea and muscle aches. 
Ramirez, 41, said he was proud of this effort. 
Ramirez is more of a trail runner, and said he hadn’t fully prepared for Badwater’s miles and miles of asphalt. 
He said he could understand why it’s considered one of the toughest races on Earth, requiring “complete focus.” 
Still, Ramirez said he is an extremely optimistic person and found joy throughout the race. 
In the last stretch, as he entered Lone Pine, Ramirez said he began catching up to other runners, which he described as a “cool experience.” 
The race is a big expense, requiring a $1,595 entry fee. 
Because of that, Ramirez said it was a once-in-a-lifetime experience, but he’d love to return to crew the race in the future. 
“If you live close by, if you can afford it, I definitely understand why people go every year. 
You feel part of it,” Ramirez said. 
“Less people have done Badwater than climbed Everest. 
You feel part of that very cool group.” 
When he crossed the finish line, he said he was exhausted and relieved. 
Like Kent, he said he was incredibly thankful for his crew, who had spent the race either pacing him or in a car leapfrogging a few miles ahead and meeting him with food and water. 
Badwater is the newest addition to Ramirez’s ultramarathon resume. 
In the past couple of years, Ramirez has maintained a packed schedule of some of the sport’s most punishing races. 
In May 2025, Ramirez ran the Cocodona 250, an ultramarathon in Arizona, finishing third overall. 
In September 2025, he ran The Mammoth, again finishing third. 
He ran a 100-mile race in February, before taking on the Cocodona 250 once again. 
In just six weeks, he will travel to Italy for the 330-kilometer Tor des G<0xC3><0xA9>ants, a brutal turnaround. 
On Sunday, he plans to begin training again with a run up Griffith Peak in Mount Charleston. 
Ramirez acknowledged the difficulty of this feat and said he was pleased with how he has pushed through these races. 
“The times that I’m more proud of my effort and my crew is not when I win,” Ramirez said. 
“It’s when you think you did the best you could. 
I think that’s when I get really, really satisfied. 
And right now I’m getting there.” 
Contact Sophie Baker at sbaker@reviewjournal.com. 
Article reasoning-pattern comparisonThis article: 1.1%Sophie Baker: 0.2%Las Vegas Review-Journal: 2.3%Confirmation Bias1.1%This article: 1.5%Sophie Baker: 0.3%Las Vegas Review-Journal: 0.8%Anchoring Bias1.5%This article: 1.5%Sophie Baker: 0.3%Las Vegas Review-Journal: 2.0%Availability Heuristic1.5%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.7%Representativeness Heuristic0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.5%Hindsight Bias0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 1.2%Overconfidence Bias0.0%This article: 1.1%Sophie Baker: 0.7%Las Vegas Review-Journal: 4.1%Framing Effect1.1%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.6%Loss Aversion0.0%This article: 3.6%Sophie Baker: 1.2%Las Vegas Review-Journal: 0.8%Status Quo Bias3.6%This article: 1.9%Sophie Baker: 0.4%Las Vegas Review-Journal: 0.3%Sunk Cost Effect1.9%This article: 9.9%Sophie Baker: 2.0%Las Vegas Review-Journal: 2.4%Optimism Bias9.9%This article: 2.2%Sophie Baker: 0.5%Las Vegas Review-Journal: 1.4%Pessimism Bias2.2%This article: 5.5%Sophie Baker: 1.1%Las Vegas Review-Journal: 5.3%Negativity Bias5.5%This article: 8.4%Sophie Baker: 1.7%Las Vegas Review-Journal: 1.8%Self-Serving Bias8.4%This article: 2.5%Sophie Baker: 0.5%Las Vegas Review-Journal: 0.7%Fundamental Attribution Error2.5%This article: 1.7%Sophie Baker: 0.3%Las Vegas Review-Journal: 0.1%Actor-Observer Bias1.7%This article: 0.6%Sophie Baker: 0.1%Las Vegas Review-Journal: 0.6%In-Group Bias0.6%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.7%Sophie Baker: 1.9%Las Vegas Review-Journal: 1.4%Halo Effect0.7%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.0%Horn Effect0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.8%Recency Bias0.0%This article: 1.0%Sophie Baker: 0.2%Las Vegas Review-Journal: 0.2%Primacy Effect1.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Blind-Spot Bias0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.8%Ad Hominem0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Straw Man0.0%This article: 1.5%Sophie Baker: 0.6%Las Vegas Review-Journal: 3.1%Appeal to Authority1.5%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.8%False Dilemma0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.7%Slippery Slope0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Circular Reasoning0.0%This article: 0.7%Sophie Baker: 0.6%Las Vegas Review-Journal: 2.5%Hasty Generalization0.7%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Red Herring0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.4%Bandwagon0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 3.5%Appeal to Emotion0.0%This article: 2.3%Sophie Baker: 0.5%Las Vegas Review-Journal: 0.9%Begging the Question2.3%This article: 4.6%Sophie Baker: 0.9%Las Vegas Review-Journal: 1.0%Post Hoc (False Cause)4.6%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Tu Quoque0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.6%Burden of Proof0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Appeal to Nature0.0%This article: 1.8%Sophie Baker: 0.4%Las Vegas Review-Journal: 0.1%Composition/Division1.8%This article: 4.6%Sophie Baker: 0.9%Las Vegas Review-Journal: 1.4%Anecdotal4.6%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%No True Scotsman0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Middle Ground0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.0%Personal Incredulity0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Special Pleading0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.1%Genetic Fallacy0.0%This article: 0.0%Sophie Baker: 0.3%Las Vegas Review-Journal: 1.2%Unattributed Quote0.0%This article: 0.0%Sophie Baker: 0.2%Las Vegas Review-Journal: 0.5%Quote-first Misdirection0.0%This article: 1.6%Sophie Baker: 0.3%Las Vegas Review-Journal: 1.6%Biased Writer Voice1.6%This article: 4.0%Sophie Baker: 0.8%Las Vegas Review-Journal: 1.2%Indoctrination4.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Sophie Baker: 0.0%Las Vegas Review-Journal: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Sophie Baker: 0.1%Las Vegas Review-Journal: 0.8%Attempt to Sell a Product or S…0.0%

1162 words analyzed.

Speakers

2speakers57%attributed speech497writer words
Selected voice

Edher Ruben Ramirez

88%flagged-word coverage
315 attributed words47% of attributed speech23% writer coverage
0%5.0%10.0%Biased Writer Voice+6.0 ptsWriter: 0.0%Edher Ruben Ramirez: 6.0%6.0%

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.