Professor goes viral for clever way to catch students cheating with AI 7%

7/31/2026, 5:43:07 AM

BS Summary: This article contains 2 faulty reasoning types, including Hasty Generalization, with Availability Heuristic as the most egregious example at 43.1% saturation with 25 hits. Analysis detected 50 faulty-reasoning hits from 58 analyzed words, generating a BS Score of 21.6% and a BS Rank of 7% (21,325 of 22,831 articles). This article is better (less manipulative) than 93.40% of the article peer group.

A Mississippi college professor has gone viral after he came up with a clever way to catch students using AI to cheat on a midterm. 
Alcorn State University instructor Jason Gibson hid the word "Madagascar" in white text within the test to catch the cheating students. 
Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
43.1%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
0%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
0%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
43.1%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
0%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

58 words analyzed.

Analysis

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