CBC Radio49%

This woman is attempting to be the first to travel 26,000 km by horse 21%

By Catherine Zhu0%

5/16/2026, 1:00:00 AM

BS Summary: This article contains 23 faulty reasoning types, including Hasty Generalization, Appeal to Emotion, and Availability Heuristic, with Anecdotal as the most egregious example at 13.3% saturation with 118 hits. Analysis detected 883 faulty-reasoning hits from 884 analyzed words, generating a BS Score of 35% and a BS Rank of 21% (17,381 of 21,887 articles). This article is better (less manipulative) than 79.40% of the article peer group.

LISTEN | Full interview with Olivia Cazes : 
Olivia Cazes is attempting to become the first woman to travel solo on horseback along the transcontinental Pan-American Highway. 
An epic journey that measures roughly 26,000 kilometres, the road extends from South America to North America, starting in Ushuaia, Argentina and ending in Prudhoe Bay, Alaska. 
To date, Cazes has completed 3,415 kilometres and made it to Chichinales, Argentina. 
The route spans 14 countries  a distance that could be covered in about a month by car or roughly 26 hours by plane. 
But on horseback, Cazes estimates the journey could take as long as seven years. 
“We're travelling at four kilometres an hour,” Cazes, 30, told The Current’s host Matt Galloway. 
Cazes, who is from Armagh, Que., set out on the journey early last year. 
She says the idea grew out of a deep-seated desire to connect with people and learn from different cultures. 
But it was also shaped by a lifelong bond with horses that comes from being raised on a horse farm, she says. 
“I was sitting on a horse before learning to walk,” she said. 
In the history of long riding  the equestrian term for a continuous journey on horseback  only a handful of people have ever accomplished this particular test of endurance. 
According to the Long Rider's Guild, an association of equestrian explorers, Filipe Masetti Leite, a Brazilian Canadian, set out to do the same route on horseback in 2012 and completed the ride eight years later. 
Decades earlier, Russian rider Vladimir Fissenko began the same expedition in 1988 and finished after five years. 
Known as "Lady Long Rider," American woman Bernice Arlene Ende logged 48,000 kilometres but over numerous shorter journeys. 
Ende died in 2021. 
Travelling by horse may be slower, says Cazes, but it offers a unique vantage point. 
“You see pretty much everything. 
You see every rock, every animal, every tree, plant, person,” she said. 
The horses themselves, Cazes says, have also taught her a lot. 
She currently travels with three horses, and rotates between which one she rides, which carries gear, and which travels without a load. 
By travelling with them everyday, she says she has come to understand the special “co-dependent” relationship they share. 
“I take care of them, but they [also] take care of me,” said Cazes. 
“It’s not like a vehicle, a bicycle  they’re sentient, conscious beings.” 
Realizing dreams 
Cazes begun the expedition with a friend, but partway through the journey, he had to return back home due to health issues, leaving her to continue alone. 
After returning to Canada for the holidays, she resumed the journey in Argentina in January with a new companion  her mother, Esther Dandonneau. 
Cazes says the experience has been especially meaningful because her mother, now 53, once envisioned a life similar to her own: travelling by horse, meeting people and learning about different cultures. 
But she set those dreams aside after having four children. 
“What we did together in the last four months was doing some things she had dreamt about for the last 30 years and more,” said Cazes. 
Her mother has since returned home. 
On an average day, Cazes says she aims to travel between 20 and 25 kilometres, but she adjusts her pace depending on how the horses are doing. 
If the horses haven’t slept well, eaten enough, or had access to clean water, she shortens the distance. 
Cazes has crossed a wide range of terrain, and she says she values the solitude of the journey and the perspective it brings in vast, remote landscapes. 
“You just see the sun rise  [and] you feel like you’re the only person in the world that it’s rising for,” she said. 
But Cazes adds that, in addition to the beauty of the landscape, she is also focused on how it affects the horses’ access to sustenance. 
In Patagonia’s sub-arctic desert, she described conditions as “cold and flat and very dry,” with limited feed and water. 
In the Andes mountains, she encountered frigid temperatures but abundant grazing and water. 
Kindness of people 
She says that as a woman travelling on horseback, she’s drawn a lot of attention along the way, but it’s been overwhelmingly positive. 
People often stop, she says, to ask what she’s doing or check if she’s okay. 
Many are also welcoming and often offer help, from a place to stay for the night to food, water, or feed for the horses. 
In one example a few months ago, she says a friend connected her with a local family who stepped in to help, transporting her and the horses out of town and welcoming her and her mother into their home, where they stayed for 10 days. 
“People you don’t know just open their homes to you and it’s just so, so generous,” she said. 
While Cazes says she doesn’t see herself as being exceptional for taking on the journey, she hopes it helps challenge assumptions about who belongs in extreme adventure and endurance travel  spaces that have traditionally been dominated by men. 
“I want as women to understand that we can [do it],” she said. 
“It is hard, it is challenging, but we can [make] it.” 
Article reasoning-pattern comparisonThis article: 2.0%Catherine Zhu: 1.3%CBC: 2.6%Confirmation Bias2.0%This article: 2.7%Catherine Zhu: 0.7%CBC: 0.7%Anchoring Bias2.7%This article: 7.7%Catherine Zhu: 2.5%CBC: 3.1%Availability Heuristic7.7%This article: 2.0%Catherine Zhu: 0.4%CBC: 1.1%Representativeness Heuristic2.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 1.0%Hindsight Bias0.0%This article: 0.0%Catherine Zhu: 1.0%CBC: 1.4%Overconfidence Bias0.0%This article: 3.7%Catherine Zhu: 1.0%CBC: 4.2%Framing Effect3.7%This article: 0.0%Catherine Zhu: 0.4%CBC: 0.6%Loss Aversion0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.6%Status Quo Bias0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.2%Sunk Cost Effect0.0%This article: 1.2%Catherine Zhu: 0.9%CBC: 4.0%Optimism Bias1.2%This article: 1.7%Catherine Zhu: 1.7%CBC: 1.4%Pessimism Bias1.7%This article: 2.0%Catherine Zhu: 5.0%CBC: 5.7%Negativity Bias2.0%This article: 3.5%Catherine Zhu: 2.9%CBC: 1.2%Self-Serving Bias3.5%This article: 1.1%Catherine Zhu: 1.3%CBC: 0.9%Fundamental Attribution Error1.1%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.2%Actor-Observer Bias0.0%This article: 4.4%Catherine Zhu: 1.3%CBC: 1.2%In-Group Bias4.4%This article: 0.0%Catherine Zhu: 1.2%CBC: 0.3%Out-Group Homogeneity Bias0.0%This article: 2.6%Catherine Zhu: 1.2%CBC: 3.6%Halo Effect2.6%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.1%Horn Effect0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.0%Dunning-Kruger Effect0.0%This article: 1.5%Catherine Zhu: 1.0%CBC: 1.2%Recency Bias1.5%This article: 0.0%Catherine Zhu: 0.4%CBC: 0.4%Primacy Effect0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.0%Blind-Spot Bias0.0%This article: 0.0%Catherine Zhu: 2.6%CBC: 0.4%Ad Hominem0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.2%Straw Man0.0%This article: 4.0%Catherine Zhu: 1.6%CBC: 3.7%Appeal to Authority4.0%This article: 2.8%Catherine Zhu: 2.1%CBC: 1.3%False Dilemma2.8%This article: 0.0%Catherine Zhu: 0.9%CBC: 0.4%Slippery Slope0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.2%Circular Reasoning0.0%This article: 10.4%Catherine Zhu: 6.6%CBC: 4.8%Hasty Generalization10.4%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.2%Red Herring0.0%This article: 4.4%Catherine Zhu: 3.5%CBC: 0.6%Bandwagon4.4%This article: 10.0%Catherine Zhu: 5.0%CBC: 4.2%Appeal to Emotion10.0%This article: 0.0%Catherine Zhu: 0.8%CBC: 0.6%Begging the Question0.0%This article: 6.0%Catherine Zhu: 1.2%CBC: 2.5%Post Hoc (False Cause)6.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.0%Tu Quoque0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.3%Burden of Proof0.0%This article: 0.0%Catherine Zhu: 0.2%CBC: 0.3%Appeal to Nature0.0%This article: 0.0%Catherine Zhu: 0.7%CBC: 0.3%Composition/Division0.0%This article: 13.3%Catherine Zhu: 4.4%CBC: 3.3%Anecdotal13.3%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.1%No True Scotsman0.0%This article: 4.6%Catherine Zhu: 1.2%CBC: 1.6%Ambiguity (Equivocation)4.6%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.1%Middle Ground0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.1%Personal Incredulity0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.1%Special Pleading0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.1%Genetic Fallacy0.0%This article: 0.0%Catherine Zhu: 0.7%CBC: 1.1%Unattributed Quote0.0%This article: 0.0%Catherine Zhu: 1.6%CBC: 0.8%Quote-first Misdirection0.0%This article: 0.0%Catherine Zhu: 0.7%CBC: 4.8%Biased Writer Voice0.0%This article: 7.1%Catherine Zhu: 3.7%CBC: 2.4%Indoctrination7.1%This article: 0.0%Catherine Zhu: 1.7%CBC: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Catherine Zhu: 0.0%CBC: 0.1%Politically Right Leaning Bias0.0%This article: 0.9%Catherine Zhu: 0.1%CBC: 1.7%Attempt to Sell a Product or S…0.9%

884 words analyzed.

Speakers

2speakers69%attributed speech274writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageOlivia Cazes • 15 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageOlivia Cazes • 19 words • 0.0% coverageOlivia Cazes • 22 words • 0.0% coverageOlivia Cazes • 12 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageLong Rider's Guild • 35 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageOlivia Cazes • 15 words • 0.0% coverageOlivia Cazes • 5 words • 0.0% coverageOlivia Cazes • 12 words • 0.0% coverageOlivia Cazes • 11 words • 0.0% coverageOlivia Cazes • 22 words • 0.0% coverageOlivia Cazes • 18 words • 0.0% coverageOlivia Cazes • 14 words • 0.0% coverageOlivia Cazes • 12 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageOlivia Cazes • 31 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageOlivia Cazes • 26 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageOlivia Cazes • 27 words • 0.0% coverageOlivia Cazes • 18 words • 0.0% coverageOlivia Cazes • 27 words • 0.0% coverageOlivia Cazes • 24 words • 0.0% coverageOlivia Cazes • 25 words • 0.0% coverageOlivia Cazes • 19 words • 0.0% coverageOlivia Cazes • 13 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageOlivia Cazes • 23 words • 0.0% coverageOlivia Cazes • 15 words • 0.0% coverageOlivia Cazes • 24 words • 0.0% coverageOlivia Cazes • 45 words • 0.0% coverageOlivia Cazes • 18 words • 0.0% coverageOlivia Cazes • 39 words • 100.0% coverageOlivia Cazes • 13 words • 100.0% coverageOlivia Cazes • 11 words • 100.0% coverage
Selected voice

Olivia Cazes

68%flagged-word coverage
575 attributed words94% of attributed speech65% writer coverage
0%7.5%15.0%Indoctrination+11.0 ptsWriter: 0.0%Olivia Cazes: 11.0%11.0%Attempt to Sell a Product -2.9 ptsWriter: 2.9%Olivia Cazes: 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.