BS Summary: This article contains 12 faulty reasoning types, including Anchoring Bias, False Dilemma, and Unattributed Quote, with Optimism Bias as the most egregious example at 18.7% saturation with 105 hits. Analysis detected 384 faulty-reasoning hits from 562 analyzed words, generating a BS Score of 45.5% and a BS Rank of 40% (12,349 of 20,515 articles). This article is better (less manipulative) than 60.20% of the article peer group.

The Odyssey is on its way to a $20M Tuesday, we understand, and if it gets past $20.86M today, it will become Christopher Nolan’s best Tuesday ever at the domestic B.O., ahead of 2008’s The Dark Knight. 
Currently, among all Tuesdays this year, the pic starring Matt Damon, Anne Hathaway, Robert Pattinson, Tom Holland, Zendaya, Jon Bernthal and Mia Goth is second behind Disney/Pixar’s Toy Story 5 ($23.69M, June 23). 
The Odyssey is currently second among all Tuesdays for a Universal movie behind Jurassic World ($24.3M, June 16, 2015). 
RELATED: 45 Of The Most Anticipated Movies Of 2026 
*The Odyssey* will hold all Imax and PLF screens in its second weekend, charting a course for a 40%-50% ease in the $61.8M-$74M range. 
There’s a chance that the movie bests the second frame of Nolan’s Dark Knight movies, meaning either 2008’s The Dark Knight ($75.1M, -61%, the director’s highest-grossing sophomore frame) or 2012’s The Dark Knight Rises ($62.1M, -61% his second-highest). 
Superhero movies typically are front-loaded, which is reason why no one is expecting Odyssey to comp to the Dark Knight holds. 
Again, this is an by-appointment film with moviegoers eyeing the best seats, formats and showtimes. 
Oppenheimer, in a Barbie-dominated 2023 market, saw its second weekend dip by 43% with $46.7M. 
RELATED: ‘Motor City’ Review: Potsy Ponciroli’s Dialogue-Lite Thriller Is A Dazzling Demonstration Of Genre-Movie Pyrotechnics  Venice Film Festival 
Bleecker Street has the Broadway live-capture feature production of Tony-winning Hadestown: The Musical at 1,944 theaters, and it could overperform. 
Currently, the pic counts around $5M in advance tickets sales and could file anywhere between $7M-$10M. 
Bleecker is releasing through its event cinema division Crosswalk and LD Entertainment. 
Hadestown: The Musical was shot in London’s West End last year and includes the five principals of the original Broadway company: Reeve Carney as Orpheus, André De Shields’ Tony-winning turn as Hermes, Amber Gray as Persephone, Eva Noblezada as Eurydice and Patrick Page as Hades. 
Pre-sales already have eclipsed Waitress: The Musical, which Bleecker released in 2023. 
RELATED: ‘Her Private Hell’ Review: Pino Donaggio's Score Is The Secret Sauce In Nicolas Winding Refn's Trippy Return To Cinema  Cannes Film Festival 
Neon has Nicolas Winding Refn’s Cannes noir genre pic, Her Private Hell starring Sophie Thatcher, Emmy nominee Charles Melton, Havana Rose Liu and Kristine Froseth. 
The pic, which premiered Out of Competition at Cannes in May, is booked in around 700 sites and is also eyeing a low-single-digit start. 
Refn has been roadshowing the movie across the nation with stops in L.A., Chicago and New York. 
It’s Refn’s first movie in 10 years, his last being 2016’s Neon Demon which was made by Amazon but released by the then-Broad Green Pictures before the streamer had a distribution arm. 
Her Private Hell tells the story of an actress and a former soldier whose lives are complicated by a killer in the city. 
The pic, which was largely funded by foreign sales, cost less than Neon Demon‘s $7.5M. 
Mubi bought out most of the world and has the prime Euro territories such as the UK and Italy, which are going in September. 
This weekend, Her Private Hell will bow in Russia, Singapore, Greece, Portugal and Turkey. 
Refn likes to divide: Critics coming out of Cannes gave Her Private Hell 49% on Rotten Tomatoes. 
Article reasoning-pattern comparisonThis article: 2.1%Anthony D'Alessandro: 3.9%Deadline: 2.4%Confirmation Bias2.1%This article: 6.8%Anthony D'Alessandro: 11.0%Deadline: 1.3%Anchoring Bias6.8%This article: 5.9%Anthony D'Alessandro: 10.8%Deadline: 3.3%Availability Heuristic5.9%This article: 3.7%Anthony D'Alessandro: 2.2%Deadline: 0.9%Representativeness Heuristic3.7%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.6%Hindsight Bias0.0%This article: 0.0%Anthony D'Alessandro: 2.1%Deadline: 1.1%Overconfidence Bias0.0%This article: 0.0%Anthony D'Alessandro: 7.1%Deadline: 6.5%Framing Effect0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.5%Loss Aversion0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.7%Status Quo Bias0.0%This article: 2.7%Anthony D'Alessandro: 0.3%Deadline: 0.1%Sunk Cost Effect2.7%This article: 18.7%Anthony D'Alessandro: 9.4%Deadline: 2.7%Optimism Bias18.7%This article: 0.0%Anthony D'Alessandro: 0.4%Deadline: 0.9%Pessimism Bias0.0%This article: 0.0%Anthony D'Alessandro: 1.7%Deadline: 6.1%Negativity Bias0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 2.0%Self-Serving Bias0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.1%Actor-Observer Bias0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.6%In-Group Bias0.0%This article: 0.0%Anthony D'Alessandro: 0.3%Deadline: 0.0%Out-Group Homogeneity Bias0.0%This article: 3.0%Anthony D'Alessandro: 16.0%Deadline: 6.6%Halo Effect3.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.0%Horn Effect0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.1%Dunning-Kruger Effect0.0%This article: 5.7%Anthony D'Alessandro: 2.2%Deadline: 1.3%Recency Bias5.7%This article: 0.0%Anthony D'Alessandro: 1.5%Deadline: 0.5%Primacy Effect0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.1%Blind-Spot Bias0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.3%Ad Hominem0.0%This article: 0.0%Anthony D'Alessandro: 0.8%Deadline: 0.2%Straw Man0.0%This article: 0.0%Anthony D'Alessandro: 1.7%Deadline: 4.0%Appeal to Authority0.0%This article: 6.8%Anthony D'Alessandro: 2.0%Deadline: 1.0%False Dilemma6.8%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.3%Slippery Slope0.0%This article: 0.0%Anthony D'Alessandro: 0.7%Deadline: 0.2%Circular Reasoning0.0%This article: 3.7%Anthony D'Alessandro: 7.2%Deadline: 3.6%Hasty Generalization3.7%This article: 0.0%Anthony D'Alessandro: 0.2%Deadline: 0.4%Red Herring0.0%This article: 0.0%Anthony D'Alessandro: 1.5%Deadline: 0.9%Bandwagon0.0%This article: 0.0%Anthony D'Alessandro: 0.6%Deadline: 3.7%Appeal to Emotion0.0%This article: 0.0%Anthony D'Alessandro: 1.7%Deadline: 0.6%Begging the Question0.0%This article: 2.7%Anthony D'Alessandro: 2.9%Deadline: 2.1%Post Hoc (False Cause)2.7%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.0%Tu Quoque0.0%This article: 0.0%Anthony D'Alessandro: 0.1%Deadline: 0.4%Burden of Proof0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.1%Appeal to Nature0.0%This article: 0.0%Anthony D'Alessandro: 0.4%Deadline: 0.1%Composition/Division0.0%This article: 0.0%Anthony D'Alessandro: 2.7%Deadline: 1.4%Anecdotal0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.0%No True Scotsman0.0%This article: 0.0%Anthony D'Alessandro: 0.1%Deadline: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.0%Middle Ground0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.0%Personal Incredulity0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.2%Special Pleading0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.1%Genetic Fallacy0.0%This article: 6.6%Anthony D'Alessandro: 4.0%Deadline: 3.0%Unattributed Quote6.6%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 1.6%Quote-first Misdirection0.0%This article: 0.0%Anthony D'Alessandro: 10.4%Deadline: 6.4%Biased Writer Voice0.0%This article: 0.0%Anthony D'Alessandro: 0.7%Deadline: 1.0%Indoctrination0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Anthony D'Alessandro: 0.0%Deadline: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Anthony D'Alessandro: 2.0%Deadline: 2.2%Attempt to Sell a Product or S…0.0%

562 words analyzed.

Speakers

1speaker4.4%attributed speech537writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 37 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 45 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageNeon • 25 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverage
Selected voice

Neon

0%flagged-word coverage
25 attributed words100% of attributed speech48% writer coverage
0%5.0%10.0%Unattributed Quote-6.9 ptsWriter: 6.9%Neon: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…

Analysis

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