Pedro Pascal Is a Tortured Cellist in the New Trailer for ‘Behemoth!’ ⁠41%

By Sophie Miller⁠24%

7/14/2026, 8:45:11 PM

BS Summary: This article contains 17 faulty reasoning types, including Availability Heuristic, Anecdotal, and Unattributed Quote, with Appeal to Emotion as the most egregious example at 15.4% saturation with 59 hits. Analysis detected 464 faulty-reasoning hits from 384 analyzed words, generating a BS Score of 45.7% and a BS Rank of ⁠41% (12,571 of 21,198 articles). This article is better (less manipulative) than 59.30% of the article peer group.

Pedro Pascal Is a Tortured Cellist in the New Trailer for ‘Behemoth!’ 
Tony Gilroy’s musical drama about the world of Hollywood film scoring also stars Olivia Wilde, Eva Victor, and Will Arnett. 
Pedro Pascal has carried galaxies and post-apocalyptic wastelands on his back. 
In Behemoth!, he’s carrying a cello. 
In the new trailer for Tony Gilroy’s long-awaited drama, Pascal stars as Alex, a world-renowned cellist who returns to Los Angeles after two decades on the road. 
Alex soon finds himself pulled into the invisible machinery of Hollywood film scoring, where every new composition threatens to reopen the wounds that drove him away in the first place. 
The film’s cast also includes Olivia Wilde, Eva Victor, and Will Arnett. 
Pascal joined Behemoth! 
after Oscar Isaac departed from the role last August, launching Pascal down a path of intense musical training. 
In an interview with Vanity Fair, Pascal described it as “literally the hardest, hardest, hardest thing I’ve ever had to learn to do,” reportedly spending hours after filming each day becoming comfortable with the instrument his character has known all his life. 
He joked, “Being in a gladiator arena or hanging from a harness—that stuff pales in comparison to learning how to play the cello and making it look convincing as you’re doing Tchaikovsky.” 
The trailer’s closeups, featuring trembling fingers pressing against strings, the measured pull of a bow, and the physical strain etched across his face, put Pascal’s evident dedication on display. 
Gilroy enlisted a talented lineup of composers to write the score for Behemoth!, including Michael Giacchino, Alan Silvestri, James Newton Howard, Michael Abels, Emily Bear, Henry Jackman, Nami Melumad, Brandon Roberts, and Lukas Frank. 
Gilroy said he also spent a year interviewing studio musicians after working with composers Nicholas Britell on Andor and Michael Giacchino on Rogue One. 
Inspired by the orchestral landscape surrounding him during both projects, he said, “You might have 30, 60, 90 players in a room…. 
The moment they enter the music and start to play, all that individuality…disappears. 
The whole job is to become a single, collective, communal, blended voice. 
It’s a really fascinating transformation…. 
I can’t believe no one’s made a movie about this before.” 
Behemoth! 
is set to hit theaters on Dec. 
4. 
Article reasoning-pattern comparisonThis article: 0.0%Sophie Miller: 0.6%Rolling Stone: 2.8%Confirmation Bias0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.7%Anchoring Bias0.0%This article: 12.0%Sophie Miller: 3.9%Rolling Stone: 3.1%Availability Heuristic12.0%This article: 0.0%Sophie Miller: 0.3%Rolling Stone: 0.9%Representativeness Heuristic0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.8%Hindsight Bias0.0%This article: 0.0%Sophie Miller: 1.5%Rolling Stone: 1.5%Overconfidence Bias0.0%This article: 7.8%Sophie Miller: 6.4%Rolling Stone: 5.6%Framing Effect7.8%This article: 0.0%Sophie Miller: 1.1%Rolling Stone: 0.6%Loss Aversion0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.7%Status Quo Bias0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%Sunk Cost Effect0.0%This article: 1.3%Sophie Miller: 0.2%Rolling Stone: 1.9%Optimism Bias1.3%This article: 0.0%Sophie Miller: 1.8%Rolling Stone: 1.1%Pessimism Bias0.0%This article: 0.0%Sophie Miller: 6.5%Rolling Stone: 7.3%Negativity Bias0.0%This article: 0.0%Sophie Miller: 0.8%Rolling Stone: 2.1%Self-Serving Bias0.0%This article: 0.0%Sophie Miller: 0.9%Rolling Stone: 1.2%Fundamental Attribution Error0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%Actor-Observer Bias0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 1.2%In-Group Bias0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.3%Out-Group Homogeneity Bias0.0%This article: 7.6%Sophie Miller: 5.2%Rolling Stone: 4.8%Halo Effect7.6%This article: 0.0%Sophie Miller: 1.3%Rolling Stone: 0.3%Horn Effect0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.0%Dunning-Kruger Effect0.0%This article: 1.8%Sophie Miller: 2.8%Rolling Stone: 1.2%Recency Bias1.8%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.5%Primacy Effect0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 1.0%Ad Hominem0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.4%Straw Man0.0%This article: 8.9%Sophie Miller: 3.4%Rolling Stone: 3.4%Appeal to Authority8.9%This article: 3.1%Sophie Miller: 0.4%Rolling Stone: 1.5%False Dilemma3.1%This article: 7.8%Sophie Miller: 1.1%Rolling Stone: 0.6%Slippery Slope7.8%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.3%Circular Reasoning0.0%This article: 6.3%Sophie Miller: 3.9%Rolling Stone: 5.3%Hasty Generalization6.3%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.3%Red Herring0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.6%Bandwagon0.0%This article: 15.4%Sophie Miller: 2.1%Rolling Stone: 5.6%Appeal to Emotion15.4%This article: 0.0%Sophie Miller: 0.7%Rolling Stone: 0.7%Begging the Question0.0%This article: 4.7%Sophie Miller: 1.2%Rolling Stone: 2.8%Post Hoc (False Cause)4.7%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%Tu Quoque0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.3%Burden of Proof0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.2%Appeal to Nature0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.2%Composition/Division0.0%This article: 10.9%Sophie Miller: 2.4%Rolling Stone: 2.3%Anecdotal10.9%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%No True Scotsman0.0%This article: 3.4%Sophie Miller: 2.1%Rolling Stone: 1.8%Ambiguity (Equivocation)3.4%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%Middle Ground0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%Personal Incredulity0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%Special Pleading0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.2%Genetic Fallacy0.0%This article: 10.9%Sophie Miller: 6.6%Rolling Stone: 1.5%Unattributed Quote10.9%This article: 8.3%Sophie Miller: 1.1%Rolling Stone: 1.2%Quote-first Misdirection8.3%This article: 7.6%Sophie Miller: 8.7%Rolling Stone: 8.7%Biased Writer Voice7.6%This article: 3.1%Sophie Miller: 0.4%Rolling Stone: 1.2%Indoctrination3.1%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 1.6%Politically Left Leaning Bias0.0%This article: 0.0%Sophie Miller: 0.0%Rolling Stone: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Sophie Miller: 0.4%Rolling Stone: 3.7%Attempt to Sell a Product or S…0.0%

384 words analyzed.

Speakers

2speakers42%attributed speech223writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 18 words • 0.0% coveragePedro Pascal • 42 words • 100.0% coveragePedro Pascal • 32 words • 100.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 34 words • 0.0% coverageTony Gilroy • 24 words • 0.0% coverageTony Gilroy • 22 words • 0.0% coverageTony Gilroy • 13 words • 0.0% coverageTony Gilroy • 12 words • 100.0% coverageTony Gilroy • 5 words • 0.0% coverageTony Gilroy • 11 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverage
Selected voice

Pedro Pascal

100%flagged-word coverage
74 attributed words46% of attributed speech71% writer coverage
0%30.0%60.0%Unattributed Quote+56.8 ptsWriter: 0.0%Pedro Pascal: 56.8%56.8%Quote-first Misdirection+43.2 ptsWriter: 0.0%Pedro Pascal: 43.2%43.2%Biased Writer Voice-13.0 ptsWriter: 13.0%Pedro Pascal: 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.