STLPR0%

St. Louis nonprofit hopes fund that gave $3,000 gift cards to tornado victims can be replicated 44%

By Kavahn Mansouri59%

5/29/2026, 10:00:00 AM

BS Summary: This article contains 17 faulty reasoning types, including Halo Effect, Appeal to Emotion, and Confirmation Bias, with Appeal to Authority as the most egregious example at 36.3% saturation with 135 hits. Analysis detected 874 faulty-reasoning hits from 372 analyzed words, generating a BS Score of 47.1% and a BS Rank of 44% (11,963 of 21,176 articles). This article is better (less manipulative) than 56.50% of the article peer group.

A nonprofit fund gave out more than 1,300 grants to north St. 
Louis households to help with recovery after an EF3 tornado ripped through the area last May, according to a report the agency released this week. 
Over a four-month period, Invest STL, with the help of community organizers and funders, awarded 1,378 households grants of $3,000 each to help residents with housing, transportation, utilities, repairs, medical needs and more. 
Invest STL created the fund, dubbed the Northside Resilience Fund, to fill the gap as residents waited for relief from insurance companies, the Federal Emergency Management Agency and other avenues. 
“Direct cash assistance is critical in the immediate aftermath, but also an essential tool for continued commitment to keeping our neighbors in our community, especially as rebuilding programs take longer to ramp up and deploy,” said Invest STL CEO Dara Eskridge. 
In total, the fund raised $4.1 million for residents on the north side. 
Eskridge said the work was helped by more than 100 community, government, philanthropic and institutional partners that helped bring the program to life. 
“The collective action behind this effort reflected what’s possible when organizations move with urgency, intentionality and shared commitment to community care,” she said. 
Invest STL released a “Powerbook” documenting what worked and didn’t work as the nonprofit navigated operating the fund, along with advice for how other groups can create similar funds in the wake of disasters. 
In a press release, the organization said the fund was “not perfect” but demonstrated what community-based organizations can do when they are resourced, trusted and equipped to act quickly. 
“While NRF has ended, we hope the Powerbook can be a launch point for a larger institution to carry forward a sustained cash assistance effort in this gap between recovery and future building,” Eskridge said. 
Designs on the fund began just a week after the tornado struck, and applications opened in late June. 
Funds were fully distributed by mid-October 2025. 
Grants went through an application process that required residency verification. 
According to Invest STL, grant distribution typically took about two weeks and was delivered via gift cards. 
Read Invest STL’s full report here. 
Article reasoning-pattern comparisonThis article: 20.2%Kavahn Mansouri: 2.9%Belleville News-Democrat: 2.4%Confirmation Bias20.2%This article: 0.0%Kavahn Mansouri: 1.0%Belleville News-Democrat: 1.2%Anchoring Bias0.0%This article: 11.3%Kavahn Mansouri: 2.9%Belleville News-Democrat: 2.7%Availability Heuristic11.3%This article: 0.0%Kavahn Mansouri: 0.7%Belleville News-Democrat: 0.8%Representativeness Heuristic0.0%This article: 0.0%Kavahn Mansouri: 0.5%Belleville News-Democrat: 0.5%Hindsight Bias0.0%This article: 0.0%Kavahn Mansouri: 0.7%Belleville News-Democrat: 1.4%Overconfidence Bias0.0%This article: 18.3%Kavahn Mansouri: 9.4%Belleville News-Democrat: 7.3%Framing Effect18.3%This article: 0.0%Kavahn Mansouri: 1.3%Belleville News-Democrat: 1.1%Loss Aversion0.0%This article: 0.0%Kavahn Mansouri: 1.0%Belleville News-Democrat: 1.0%Status Quo Bias0.0%This article: 9.4%Kavahn Mansouri: 0.5%Belleville News-Democrat: 0.3%Sunk Cost Effect9.4%This article: 19.6%Kavahn Mansouri: 5.4%Belleville News-Democrat: 4.8%Optimism Bias19.6%This article: 0.0%Kavahn Mansouri: 2.2%Belleville News-Democrat: 1.9%Pessimism Bias0.0%This article: 0.0%Kavahn Mansouri: 9.2%Belleville News-Democrat: 7.1%Negativity Bias0.0%This article: 0.0%Kavahn Mansouri: 3.1%Belleville News-Democrat: 3.1%Self-Serving Bias0.0%This article: 0.0%Kavahn Mansouri: 1.1%Belleville News-Democrat: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Kavahn Mansouri: 0.4%Belleville News-Democrat: 0.2%Actor-Observer Bias0.0%This article: 6.2%Kavahn Mansouri: 1.9%Belleville News-Democrat: 2.2%In-Group Bias6.2%This article: 0.0%Kavahn Mansouri: 0.8%Belleville News-Democrat: 0.5%Out-Group Homogeneity Bias0.0%This article: 22.8%Kavahn Mansouri: 1.6%Belleville News-Democrat: 2.4%Halo Effect22.8%This article: 0.0%Kavahn Mansouri: 0.1%Belleville News-Democrat: 0.1%Horn Effect0.0%This article: 0.0%Kavahn Mansouri: 0.0%Belleville News-Democrat: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Kavahn Mansouri: 1.0%Belleville News-Democrat: 1.0%Recency Bias0.0%This article: 0.0%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.3%Primacy Effect0.0%This article: 0.0%Kavahn Mansouri: 0.1%Belleville News-Democrat: 0.1%Blind-Spot Bias0.0%This article: 0.0%Kavahn Mansouri: 0.7%Belleville News-Democrat: 0.5%Ad Hominem0.0%This article: 0.0%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.4%Straw Man0.0%This article: 36.3%Kavahn Mansouri: 3.2%Belleville News-Democrat: 3.6%Appeal to Authority36.3%This article: 0.0%Kavahn Mansouri: 1.5%Belleville News-Democrat: 1.3%False Dilemma0.0%This article: 0.0%Kavahn Mansouri: 1.3%Belleville News-Democrat: 0.9%Slippery Slope0.0%This article: 0.0%Kavahn Mansouri: 0.2%Belleville News-Democrat: 0.2%Circular Reasoning0.0%This article: 4.0%Kavahn Mansouri: 3.5%Belleville News-Democrat: 3.7%Hasty Generalization4.0%This article: 0.0%Kavahn Mansouri: 0.1%Belleville News-Democrat: 0.3%Red Herring0.0%This article: 9.1%Kavahn Mansouri: 0.7%Belleville News-Democrat: 0.7%Bandwagon9.1%This article: 20.4%Kavahn Mansouri: 9.1%Belleville News-Democrat: 6.6%Appeal to Emotion20.4%This article: 11.0%Kavahn Mansouri: 1.0%Belleville News-Democrat: 0.8%Begging the Question11.0%This article: 4.8%Kavahn Mansouri: 2.2%Belleville News-Democrat: 2.1%Post Hoc (False Cause)4.8%This article: 0.0%Kavahn Mansouri: 0.1%Belleville News-Democrat: 0.1%Tu Quoque0.0%This article: 0.0%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.4%Burden of Proof0.0%This article: 0.0%Kavahn Mansouri: 0.2%Belleville News-Democrat: 0.2%Appeal to Nature0.0%This article: 6.2%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.2%Composition/Division6.2%This article: 0.0%Kavahn Mansouri: 3.1%Belleville News-Democrat: 2.6%Anecdotal0.0%This article: 0.0%Kavahn Mansouri: 0.1%Belleville News-Democrat: 0.1%No True Scotsman0.0%This article: 4.0%Kavahn Mansouri: 1.3%Belleville News-Democrat: 1.3%Ambiguity (Equivocation)4.0%This article: 0.0%Kavahn Mansouri: 0.0%Belleville News-Democrat: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.1%Middle Ground0.0%This article: 0.0%Kavahn Mansouri: 0.1%Belleville News-Democrat: 0.1%Personal Incredulity0.0%This article: 0.0%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.2%Special Pleading0.0%This article: 0.0%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.2%Genetic Fallacy0.0%This article: 11.0%Kavahn Mansouri: 0.8%Belleville News-Democrat: 0.8%Unattributed Quote11.0%This article: 0.0%Kavahn Mansouri: 0.8%Belleville News-Democrat: 0.9%Quote-first Misdirection0.0%This article: 0.0%Kavahn Mansouri: 1.9%Belleville News-Democrat: 1.8%Biased Writer Voice0.0%This article: 0.0%Kavahn Mansouri: 0.5%Belleville News-Democrat: 1.1%Indoctrination0.0%This article: 0.0%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Kavahn Mansouri: 0.1%Belleville News-Democrat: 0.2%Politically Right Leaning Bias0.0%This article: 20.2%Kavahn Mansouri: 0.3%Belleville News-Democrat: 0.7%Attempt to Sell a Product or S…20.2%

372 words analyzed.

Speakers

2speakers73%attributed speech101writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 1 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageInvest STL • 33 words • 0.0% coverageInvest STL • 30 words • 0.0% coverageDara Eskridge • 41 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageDara Eskridge • 23 words • 0.0% coverageDara Eskridge • 23 words • 0.0% coverageInvest STL • 34 words • 100.0% coverageInvest STL • 29 words • 0.0% coverageDara Eskridge • 35 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageInvest STL • 17 words • 0.0% coverageInvest STL • 6 words • 100.0% coverage
Selected voice

Dara Eskridge

100%flagged-word coverage
122 attributed words45% of attributed speech57% writer coverage
0%17.5%35.0%Unattributed Quote+33.6 ptsWriter: 0.0%Dara Eskridge: 33.6%33.6%Attempt to Sell a Product +28.7 ptsWriter: 0.0%Dara Eskridge: 28.7%28.7%

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.