BS Summary: This article contains 17 faulty reasoning types, including Availability Heuristic, Representativeness Heuristic, and Overconfidence Bias, with Recency Bias as the most egregious example at 9.6% saturation with 26 hits. Analysis detected 346 faulty-reasoning hits from 270 analyzed words, generating a BS Score of 11.6% and a BS Rank of 4% (28,364 of 29,510 articles). This article is better (less manipulative) than 96.10% of the article peer group.

On this episode of Visions , I primarily play music from the 1970’s. 
I have selections from several Black Jazz Records artists: Doug Carn , Walter Bishop, Jr. , Calvin Keys , and The Awakening . 
Black Jazz Records was a label that only released about twenty records between 1971 and 1975, and I’m still combing through their discography. 
I also play 70’s selections from Alice Coltrane , Herbie Hancock , and Bob James . 
I play 60’s selections from Sonny Clark and John Coltrane , and an 80’s cut from Steve Lacy . 
I play my new music discovery this week from Luke Titus Quintet , plus music from Nicholas Payton & Butcher Brown , and Irreversible Entanglements . 
Check out the playlist below and listen to the episode on-demand for two weeks after it airs using the media player above. 
Visions Playlist for July 20, 2026 
“Mode for D.D.”  The Awakening 
“All Blues”  Nicholas Payton & Butcher Brown 
“Naima (feat. 
Brian Sanborn, Lenard Simpson, Julius Tucker & Parker Grogan)”  Luke Titus 
“Criss Cross”  Calvin Keys 
“Epistrophy (feat. 
Steve Lacy, Steve Potts, Jean-Jacques Avenel & Oliver Johnson) [Live]”  Steve Lacy Four 
“Voodoo”  Sonny Clark 
“You’ll Know When You Get There”  Herbie Hancock 
“Little B’s Poem”  Doug Carn 
“Vigil (feat. 
Elvin Jones*)”  John Coltrane 
“Juntos Vencemos”  Irreversible Entanglements 
“Those Who Chant”  Walter Bishop, Jr. 
“Valley of the Shadows”  Bob James 
“Isis and Osiris (feat. 
Pharoah Sanders) [Live]”  Alice Coltrane* 
“Beloved California Temple”  Surya Botofasina 
* indicates Detroit artist 
Article reasoning-pattern comparisonThis article: 0.0%Kaleigh Wilder: 0.0%WDET: 1.3%Confirmation Bias0.0%This article: 7.0%Kaleigh Wilder: 1.8%WDET: 0.3%Anchoring Bias7.0%This article: 8.5%Kaleigh Wilder: 2.1%WDET: 1.6%Availability Heuristic8.5%This article: 8.5%Kaleigh Wilder: 2.1%WDET: 0.5%Representativeness Heuristic8.5%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Hindsight Bias0.0%This article: 8.5%Kaleigh Wilder: 2.1%WDET: 0.6%Overconfidence Bias8.5%This article: 8.1%Kaleigh Wilder: 2.0%WDET: 3.5%Framing Effect8.1%This article: 8.1%Kaleigh Wilder: 2.0%WDET: 0.7%Loss Aversion8.1%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.5%Status Quo Bias0.0%This article: 8.5%Kaleigh Wilder: 2.1%WDET: 0.1%Sunk Cost Effect8.5%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 2.4%Optimism Bias0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.7%Pessimism Bias0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 2.6%Negativity Bias0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 1.0%Self-Serving Bias0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Actor-Observer Bias0.0%This article: 1.5%Kaleigh Wilder: 0.4%WDET: 0.8%In-Group Bias1.5%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 3.5%Halo Effect0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Horn Effect0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Dunning-Kruger Effect0.0%This article: 9.6%Kaleigh Wilder: 2.4%WDET: 0.6%Recency Bias9.6%This article: 3.0%Kaleigh Wilder: 0.7%WDET: 0.3%Primacy Effect3.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Blind-Spot Bias0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Ad Hominem0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Straw Man0.0%This article: 8.5%Kaleigh Wilder: 2.1%WDET: 1.9%Appeal to Authority8.5%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.8%False Dilemma0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Slippery Slope0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Circular Reasoning0.0%This article: 8.5%Kaleigh Wilder: 2.1%WDET: 2.4%Hasty Generalization8.5%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Red Herring0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.3%Bandwagon0.0%This article: 8.1%Kaleigh Wilder: 2.0%WDET: 2.8%Appeal to Emotion8.1%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.3%Begging the Question0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 1.0%Post Hoc (False Cause)0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Tu Quoque0.0%This article: 8.1%Kaleigh Wilder: 2.0%WDET: 0.3%Burden of Proof8.1%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Appeal to Nature0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Composition/Division0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 1.2%Anecdotal0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%No True Scotsman0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.8%Ambiguity (Equivocation)0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Gambler’s Fallacy0.0%This article: 7.0%Kaleigh Wilder: 1.8%WDET: 0.1%Middle Ground7.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Personal Incredulity0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.1%Special Pleading0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Genetic Fallacy0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.8%Unattributed Quote0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.4%Quote-first Misdirection0.0%This article: 8.1%Kaleigh Wilder: 2.0%WDET: 2.9%Biased Writer Voice8.1%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 1.6%Indoctrination0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Kaleigh Wilder: 0.0%WDET: 0.0%Politically Right Leaning Bias0.0%This article: 8.1%Kaleigh Wilder: 2.0%WDET: 5.9%Attempt to Sell a Product or S…8.1%

270 words analyzed.

Speakers

14speakers41%attributed speech160writer words
Selected voice

Steve Lacy Four

0%flagged-word coverage
16 attributed words15% of attributed speech78% writer coverage
0%7.5%15.0%Biased Writer Voice-13.8 ptsWriter: 13.8%Steve Lacy Four: 0.0%0.0%Attempt to Sell a Product -13.8 ptsWriter: 13.8%Steve Lacy Four: 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.