Townhall⁠84%

A New York School District Is Testing a Cost Saving Measure for the Classroom ⁠49%

By Amy Curtis⁠89%

7/21/2026, 7:30:00 AM

BS Summary: This article contains 27 faulty reasoning types, including Biased Writer Voice, Hasty Generalization, and Availability Heuristic, with Negativity Bias as the most egregious example at 22.8% saturation with 79 hits. Analysis detected 727 faulty-reasoning hits from 347 analyzed words, generating a BS Score of 49.7% and a BS Rank of ⁠49% (11,237 of 21,887 articles). This article is better (less manipulative) than 51.30% of the article peer group.

Much in the same way that fast food workers and the 'Fight for 15' movement ushered in an era of automation at your local McDonald's, it seems teachers unions and their unfettered greed are going to usher in cost-saving measures in the classroom, too. 
At least, that's what one New York school district is testing, as they introduce a humanoid robot named 'Sally', who will teach juniors and seniors at Salamanca High School, located in upstate rural New York. 
Here's more: 
'Sally' will have brown hair, latex skin, and will be able to move its arms and hands—but won't be able to cruise around the classroom since our legs don't move. 
"It's exciting but also a bit nerve wracking," superintendent Dr. 
Mark Beehler told The Post of the first of its kind pilot program, a partnership with the Las Vegas-based company Realbotix Corporation. 
"Not everyone is open to much change in education ... 
There was a point in time where people argued, 'Why do teachers need email accounts?' 
or 'Do we really need to have the internet in school?' 
This is the next iteration of that. 
And the reality is, AI is already in schools," he said. 
For now, 'Sally' is scheduled to be in 11th and 12th grades at Salamanca High School where she will take a byte out of coding, robotic, and artificial intelligence classes. 
The average salary of a teacher in New York is between $92,000 and $95,000. 
We can't imagine teachers unions sit quietly by and let this happen. 
Sure, 'Sally' is an educational assistant, but if she works out, robots are coming for their jobs next. 
The school promises 'Sally' will never replace real teachers. 
But budgets are a thing. 
Lots of people would probably agree with this. 
That's a fair point. 
All of this. 
We also have to wonder how long an AI teacher would last in some school districts. 
In places like Baltimore, Chicago, and Los Angeles, that robot would be dismantled in about five minutes. 
Article reasoning-pattern comparisonThis article: 4.3%Amy Curtis: 8.6%Townhall: 5.3%Confirmation Bias4.3%This article: 4.0%Amy Curtis: 0.9%Townhall: 0.7%Anchoring Bias4.0%This article: 17.6%Amy Curtis: 3.8%Townhall: 2.8%Availability Heuristic17.6%This article: 2.0%Amy Curtis: 0.7%Townhall: 0.8%Representativeness Heuristic2.0%This article: 0.0%Amy Curtis: 0.5%Townhall: 0.7%Hindsight Bias0.0%This article: 0.0%Amy Curtis: 2.1%Townhall: 1.7%Overconfidence Bias0.0%This article: 0.0%Amy Curtis: 10.8%Townhall: 11.2%Framing Effect0.0%This article: 1.4%Amy Curtis: 0.4%Townhall: 0.4%Loss Aversion1.4%This article: 2.6%Amy Curtis: 0.2%Townhall: 0.3%Status Quo Bias2.6%This article: 0.0%Amy Curtis: 0.1%Townhall: 0.1%Sunk Cost Effect0.0%This article: 0.0%Amy Curtis: 1.0%Townhall: 1.4%Optimism Bias0.0%This article: 13.3%Amy Curtis: 2.8%Townhall: 1.9%Pessimism Bias13.3%This article: 22.8%Amy Curtis: 15.5%Townhall: 13.5%Negativity Bias22.8%This article: 0.0%Amy Curtis: 0.6%Townhall: 1.8%Self-Serving Bias0.0%This article: 3.5%Amy Curtis: 3.8%Townhall: 1.8%Fundamental Attribution Error3.5%This article: 0.0%Amy Curtis: 0.1%Townhall: 0.1%Actor-Observer Bias0.0%This article: 0.0%Amy Curtis: 4.7%Townhall: 4.6%In-Group Bias0.0%This article: 0.0%Amy Curtis: 6.0%Townhall: 3.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Amy Curtis: 0.8%Townhall: 1.8%Halo Effect0.0%This article: 0.0%Amy Curtis: 0.7%Townhall: 0.9%Horn Effect0.0%This article: 0.0%Amy Curtis: 0.1%Townhall: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Amy Curtis: 1.2%Townhall: 1.3%Recency Bias0.0%This article: 6.3%Amy Curtis: 0.8%Townhall: 0.6%Primacy Effect6.3%This article: 0.0%Amy Curtis: 0.0%Townhall: 0.0%Blind-Spot Bias0.0%This article: 12.7%Amy Curtis: 8.3%Townhall: 5.0%Ad Hominem12.7%This article: 0.0%Amy Curtis: 4.3%Townhall: 2.0%Straw Man0.0%This article: 6.3%Amy Curtis: 4.2%Townhall: 4.4%Appeal to Authority6.3%This article: 5.2%Amy Curtis: 2.6%Townhall: 1.9%False Dilemma5.2%This article: 7.2%Amy Curtis: 2.5%Townhall: 1.6%Slippery Slope7.2%This article: 0.0%Amy Curtis: 0.2%Townhall: 0.2%Circular Reasoning0.0%This article: 21.6%Amy Curtis: 16.6%Townhall: 9.1%Hasty Generalization21.6%This article: 0.0%Amy Curtis: 0.9%Townhall: 0.6%Red Herring0.0%This article: 2.3%Amy Curtis: 1.6%Townhall: 1.3%Bandwagon2.3%This article: 2.3%Amy Curtis: 9.9%Townhall: 11.1%Appeal to Emotion2.3%This article: 3.2%Amy Curtis: 2.9%Townhall: 2.2%Begging the Question3.2%This article: 12.7%Amy Curtis: 2.9%Townhall: 2.4%Post Hoc (False Cause)12.7%This article: 0.0%Amy Curtis: 1.5%Townhall: 0.6%Tu Quoque0.0%This article: 0.0%Amy Curtis: 2.5%Townhall: 1.5%Burden of Proof0.0%This article: 0.0%Amy Curtis: 0.2%Townhall: 0.1%Appeal to Nature0.0%This article: 0.0%Amy Curtis: 0.2%Townhall: 0.1%Composition/Division0.0%This article: 12.4%Amy Curtis: 2.7%Townhall: 1.4%Anecdotal12.4%This article: 0.0%Amy Curtis: 0.1%Townhall: 0.1%No True Scotsman0.0%This article: 2.9%Amy Curtis: 2.3%Townhall: 2.2%Ambiguity (Equivocation)2.9%This article: 0.0%Amy Curtis: 0.0%Townhall: 0.0%Gambler’s Fallacy0.0%This article: 1.2%Amy Curtis: 0.0%Townhall: 0.1%Middle Ground1.2%This article: 0.0%Amy Curtis: 0.1%Townhall: 0.2%Personal Incredulity0.0%This article: 1.4%Amy Curtis: 0.4%Townhall: 0.2%Special Pleading1.4%This article: 0.0%Amy Curtis: 0.6%Townhall: 0.4%Genetic Fallacy0.0%This article: 2.6%Amy Curtis: 4.4%Townhall: 3.4%Unattributed Quote2.6%This article: 2.9%Amy Curtis: 2.5%Townhall: 3.0%Quote-first Misdirection2.9%This article: 22.2%Amy Curtis: 24.5%Townhall: 16.1%Biased Writer Voice22.2%This article: 12.7%Amy Curtis: 8.1%Townhall: 5.6%Indoctrination12.7%This article: 0.0%Amy Curtis: 0.2%Townhall: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Amy Curtis: 22.0%Townhall: 13.8%Politically Right Leaning Bias0.0%This article: 0.0%Amy Curtis: 6.1%Townhall: 5.0%Attempt to Sell a Product or S…0.0%

347 words analyzed.

Speakers

1speaker25%attributed speech261writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 0.0% coverageWriter's voice • 44 words • 100.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageMark Beehler • 10 words • 100.0% coverageMark Beehler • 22 words • 0.0% coverageMark Beehler • 10 words • 0.0% coverageMark Beehler • 15 words • 0.0% coverageMark Beehler • 11 words • 0.0% coverageMark Beehler • 7 words • 0.0% coverageMark Beehler • 11 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverage
Selected voice

Mark Beehler

88%flagged-word coverage
86 attributed words100% of attributed speech57% writer coverage
0%15.0%30.0%Biased Writer Voice-29.5 ptsWriter: 29.5%Mark Beehler: 0.0%0.0%Indoctrination-16.9 ptsWriter: 16.9%Mark Beehler: 0.0%0.0%Quote-first Misdirection+11.6 ptsWriter: 0.0%Mark Beehler: 11.6%11.6%Unattributed Quote-3.4 ptsWriter: 3.4%Mark Beehler: 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.