New education data tool could let Fresno educators and parents see school data faster ⁠72%

By Diego Vargas⁠64%

8/3/2026, 6:19:21 AM

BS Summary: This article contains 19 faulty reasoning types, including Optimism Bias, Attempt to Sell a Product or Service, and Begging the Question, with Indoctrination as the most egregious example at 27.6% saturation with 107 hits. Analysis detected 884 faulty-reasoning hits from 388 analyzed words, generating a BS Score of 57.8% and a BS Rank of ⁠72% (7,600 of 26,404 articles). This article is worse (more manipulative) than 71.20% of the article peer group.

A new online tool that compiles state data allows educators and parents to look up and compare school performance and statistics. 
Parsec Education , an education technology and consulting company based in Fresno’s Brewery District, is set to release its Clarity Lite tool this week. 
The tool lets users compare school sites and districts’ performance and demographics data. 
The tool can be accessed through Parsec’s website. 
Clarity Lite displays information gathered from state education databases, including student demographics, assessment performance and college and career readiness, among others. 
The tool also has options for users to compare counties, schools and districts by types and specify levels of enrollment and demographics. 
Babatunde Ilori, CEO of Parsec, said his hope is for education leaders and site administrators to use the tool to be more informed about their schools’ data and the reality it reflects. 
“The whole idea is to not just be data rich, but be data informed, like you’re gonna allow yourself to make sense of all these pieces of data in ways that actually improve student outcomes,” Ilori said in an interview with Fresnoland. 
Ilori also explained that while parents may run into a learning curve while using the tool due to state education system jargon, he said that those familiar with the education system could use the tool to compare against schools of similar sizes and demographics. 
“Data transparency is key here and I think sometimes people fear data because maybe their results aren’t where they want it to be,” Ilori said, adding, “but how do you get results to where you want them to be? 
You have to be honest, and you have to look at the data in a way that allows you to leverage it to make those improvements.” 
Ryan Royer, Parsec’s technical solutions specialist, said that the tool’s ability to compare schools and districts through state data and user specified conditions can allow for a better understanding of where investments can be made for student success. 
“When you start adjusting for demographics, a different story starts to happen, and that is where that equity lens comes in,” Royer said. 
The post New education data tool could let Fresno educators and parents see school data faster appeared first on Fresnoland . 
Article reasoning-pattern comparisonThis article: 5.9%Diego Vargas: 1.9%Fresnoland: 1.5%Confirmation Bias5.9%This article: 0.0%Diego Vargas: 1.5%Fresnoland: 0.4%Anchoring Bias0.0%This article: 5.4%Diego Vargas: 2.6%Fresnoland: 1.8%Availability Heuristic5.4%This article: 0.0%Diego Vargas: 1.8%Fresnoland: 0.8%Representativeness Heuristic0.0%This article: 0.0%Diego Vargas: 0.5%Fresnoland: 0.4%Hindsight Bias0.0%This article: 9.0%Diego Vargas: 0.8%Fresnoland: 0.6%Overconfidence Bias9.0%This article: 14.4%Diego Vargas: 5.0%Fresnoland: 3.5%Framing Effect14.4%This article: 10.1%Diego Vargas: 0.8%Fresnoland: 0.8%Loss Aversion10.1%This article: 0.0%Diego Vargas: 0.3%Fresnoland: 0.6%Status Quo Bias0.0%This article: 0.0%Diego Vargas: 0.2%Fresnoland: 0.2%Sunk Cost Effect0.0%This article: 27.1%Diego Vargas: 6.6%Fresnoland: 2.1%Optimism Bias27.1%This article: 0.0%Diego Vargas: 2.5%Fresnoland: 1.6%Pessimism Bias0.0%This article: 10.1%Diego Vargas: 7.6%Fresnoland: 6.5%Negativity Bias10.1%This article: 0.0%Diego Vargas: 0.4%Fresnoland: 1.5%Self-Serving Bias0.0%This article: 0.0%Diego Vargas: 0.3%Fresnoland: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Diego Vargas: 0.2%Fresnoland: 0.2%Actor-Observer Bias0.0%This article: 11.3%Diego Vargas: 0.8%Fresnoland: 1.1%In-Group Bias11.3%This article: 0.0%Diego Vargas: 0.2%Fresnoland: 0.4%Out-Group Homogeneity Bias0.0%This article: 5.4%Diego Vargas: 3.7%Fresnoland: 1.3%Halo Effect5.4%This article: 0.0%Diego Vargas: 0.3%Fresnoland: 0.0%Horn Effect0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Diego Vargas: 0.5%Fresnoland: 0.7%Recency Bias0.0%This article: 0.0%Diego Vargas: 1.1%Fresnoland: 0.2%Primacy Effect0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.0%Blind-Spot Bias0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.8%Ad Hominem0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.2%Straw Man0.0%This article: 15.2%Diego Vargas: 2.2%Fresnoland: 1.9%Appeal to Authority15.2%This article: 6.7%Diego Vargas: 1.5%Fresnoland: 1.4%False Dilemma6.7%This article: 0.0%Diego Vargas: 0.2%Fresnoland: 1.1%Slippery Slope0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.1%Circular Reasoning0.0%This article: 5.4%Diego Vargas: 4.2%Fresnoland: 3.1%Hasty Generalization5.4%This article: 0.0%Diego Vargas: 0.2%Fresnoland: 0.2%Red Herring0.0%This article: 0.0%Diego Vargas: 1.1%Fresnoland: 0.6%Bandwagon0.0%This article: 10.1%Diego Vargas: 1.8%Fresnoland: 3.5%Appeal to Emotion10.1%This article: 16.8%Diego Vargas: 0.3%Fresnoland: 0.5%Begging the Question16.8%This article: 9.8%Diego Vargas: 4.5%Fresnoland: 1.4%Post Hoc (False Cause)9.8%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.1%Tu Quoque0.0%This article: 0.0%Diego Vargas: 0.1%Fresnoland: 0.4%Burden of Proof0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.0%Appeal to Nature0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.1%Composition/Division0.0%This article: 0.0%Diego Vargas: 2.6%Fresnoland: 2.1%Anecdotal0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.1%No True Scotsman0.0%This article: 5.9%Diego Vargas: 1.3%Fresnoland: 1.2%Ambiguity (Equivocation)5.9%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Diego Vargas: 0.2%Fresnoland: 0.1%Middle Ground0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.1%Personal Incredulity0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.1%Special Pleading0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.1%Genetic Fallacy0.0%This article: 0.0%Diego Vargas: 0.3%Fresnoland: 0.4%Unattributed Quote0.0%This article: 0.0%Diego Vargas: 0.4%Fresnoland: 0.3%Quote-first Misdirection0.0%This article: 13.7%Diego Vargas: 1.3%Fresnoland: 2.3%Biased Writer Voice13.7%This article: 27.6%Diego Vargas: 0.4%Fresnoland: 1.2%Indoctrination27.6%This article: 0.0%Diego Vargas: 0.2%Fresnoland: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Diego Vargas: 0.0%Fresnoland: 0.2%Politically Right Leaning Bias0.0%This article: 18.0%Diego Vargas: 1.7%Fresnoland: 0.5%Attempt to Sell a Product or S…18.0%

388 words analyzed.

Speakers

3speakers86%attributed speech56writer words
Selected voice

Ryan Royer

100%flagged-word coverage
61 attributed words18% of attributed speech63% writer coverage
0%20.0%40.0%Biased Writer Voice-37.5 ptsWriter: 37.5%Ryan Royer: 0.0%0.0%Attempt to Sell a Product -25.0 ptsWriter: 25.0%Ryan Royer: 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.