The Science Behind Love and Sex ⁠51%

5/26/2026, 11:45:06 AM

BS Summary: This article contains 16 faulty reasoning types, including Framing Effect, Pessimism Bias, and Ambiguity (Equivocation), with Negativity Bias as the most egregious example at 36.3% saturation with 53 hits. Analysis detected 380 faulty-reasoning hits from 146 analyzed words, generating a BS Score of 50.7% and a BS Rank of ⁠51% (10,793 of 21,887 articles). This article is worse (more manipulative) than 50.70% of the article peer group.

Questions about the nature of love — what sparks it, why it fails, why it sometimes lasts a lifetime — are so timeless, and the opinions around these questions so varied, that they can seem unanswerable. 
But there is a science of love, as well as sex and romance, that has something to say about these longstanding questions. 
Garcia offers this: The need for intimacy, even more than sex, is the drive that actually dictates human happiness. 
The problem comes when our hardwiring for social monogamy crosses paths with the desire for sexual novelty. 
Justin Garcia explains how to reconcile these two impulses. 
GUEST – 
Justin R. 
Garcia | Director of the Kinsey Institute. 
His new book is called “The Intimate Animal: The Science of Sex, Fidelity, and Why We Live and Die for Love.” 
Airdate: May 27, 2026 (Rebroadcast) 
Article reasoning-pattern comparisonThis article: 13.0%KUER: 2.8%Confirmation Bias13.0%This article: 15.1%KUER: 1.3%Anchoring Bias15.1%This article: 0.0%KUER: 3.4%Availability Heuristic0.0%This article: 0.0%KUER: 1.2%Representativeness Heuristic0.0%This article: 0.0%KUER: 0.5%Hindsight Bias0.0%This article: 0.0%KUER: 1.9%Overconfidence Bias0.0%This article: 24.7%KUER: 7.4%Framing Effect24.7%This article: 0.0%KUER: 1.3%Loss Aversion0.0%This article: 11.6%KUER: 1.2%Status Quo Bias11.6%This article: 0.0%KUER: 0.3%Sunk Cost Effect0.0%This article: 6.2%KUER: 4.4%Optimism Bias6.2%This article: 24.7%KUER: 2.4%Pessimism Bias24.7%This article: 36.3%KUER: 6.3%Negativity Bias36.3%This article: 0.0%KUER: 2.2%Self-Serving Bias0.0%This article: 0.0%KUER: 0.9%Fundamental Attribution Error0.0%This article: 0.0%KUER: 0.2%Actor-Observer Bias0.0%This article: 0.0%KUER: 1.9%In-Group Bias0.0%This article: 0.0%KUER: 0.6%Out-Group Homogeneity Bias0.0%This article: 0.0%KUER: 2.3%Halo Effect0.0%This article: 0.0%KUER: 0.1%Horn Effect0.0%This article: 0.0%KUER: 0.0%Dunning-Kruger Effect0.0%This article: 14.4%KUER: 1.2%Recency Bias14.4%This article: 0.0%KUER: 0.3%Primacy Effect0.0%This article: 0.0%KUER: 0.1%Blind-Spot Bias0.0%This article: 0.0%KUER: 0.6%Ad Hominem0.0%This article: 0.0%KUER: 0.4%Straw Man0.0%This article: 19.9%KUER: 4.7%Appeal to Authority19.9%This article: 13.0%KUER: 1.7%False Dilemma13.0%This article: 0.0%KUER: 1.1%Slippery Slope0.0%This article: 0.0%KUER: 0.2%Circular Reasoning0.0%This article: 0.0%KUER: 4.1%Hasty Generalization0.0%This article: 0.0%KUER: 0.2%Red Herring0.0%This article: 0.0%KUER: 0.7%Bandwagon0.0%This article: 0.0%KUER: 5.6%Appeal to Emotion0.0%This article: 11.6%KUER: 0.7%Begging the Question11.6%This article: 0.0%KUER: 2.4%Post Hoc (False Cause)0.0%This article: 0.0%KUER: 0.1%Tu Quoque0.0%This article: 0.0%KUER: 0.4%Burden of Proof0.0%This article: 0.0%KUER: 0.2%Appeal to Nature0.0%This article: 0.0%KUER: 0.3%Composition/Division0.0%This article: 0.0%KUER: 3.1%Anecdotal0.0%This article: 0.0%KUER: 0.1%No True Scotsman0.0%This article: 24.7%KUER: 1.5%Ambiguity (Equivocation)24.7%This article: 0.0%KUER: 0.0%Gambler’s Fallacy0.0%This article: 6.2%KUER: 0.2%Middle Ground6.2%This article: 0.0%KUER: 0.1%Personal Incredulity0.0%This article: 0.0%KUER: 0.1%Special Pleading0.0%This article: 0.0%KUER: 0.2%Genetic Fallacy0.0%This article: 0.0%KUER: 0.8%Unattributed Quote0.0%This article: 13.0%KUER: 0.7%Quote-first Misdirection13.0%This article: 11.6%KUER: 2.2%Biased Writer Voice11.6%This article: 0.0%KUER: 1.6%Indoctrination0.0%This article: 0.0%KUER: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%KUER: 0.3%Politically Right Leaning Bias0.0%This article: 14.4%KUER: 1.0%Attempt to Sell a Product or S…14.4%

146 words analyzed.

Speakers

3speakers19%attributed speech118writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageGarcia • 19 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageJustin R. • 2 words • 0.0% coverageKinsey Institute • 7 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverage
Selected voice

Garcia

100%flagged-word coverage
19 attributed words68% of attributed speech89% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Garcia: 100.0%100.0%Attempt to Sell a Product -17.8 ptsWriter: 17.8%Garcia: 0.0%0.0%Biased Writer Voice-14.4 ptsWriter: 14.4%Garcia: 0.0%0.0%

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

Loading…
Loading…
Loading…
Loading…
Loading…
Loading…

Analysis

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