STLPR0%

St. Louis policymakers getting closer to dividing Rams settlement proceeds 38%

By Jason Rosenbaum0%

5/7/2026, 9:53:04 PM

BS Summary: This article contains 24 faulty reasoning types, including False Dilemma, Anchoring Bias, and Post Hoc (False Cause), with Pessimism Bias as the most egregious example at 10.2% saturation with 71 hits. Analysis detected 779 faulty-reasoning hits from 694 analyzed words, generating a BS Score of 43.8% and a BS Rank of 38% (13,742 of 21,886 articles). This article is better (less manipulative) than 62.80% of the article peer group.

A plan to divide St. 
Louis’ share of a settlement stemming from the departure of the St. 
Louis Rams is starting to come into view. 
For months, St. 
Louis policymakers have been discussing how to spend roughly $250 million the city received from the Rams settlement. 
Earlier efforts to divide the funds in 2025 faltered, as The Board of Aldermen chose to wait until after the spring election cycle. 
According to people close to negotiations, roughly $110 million would go toward tornado relief and development opportunities in north St. 
Louis. 
That could include funds to repair houses damaged by the tornado and support construction of new housing across north St. 
Louis. 
It could also back north St. 
Louis neighborhood plans to bolster housing stock and small businesses. 
Roughly $55 million would go for projects in downtown St. 
Louis, including improving pedestrian infrastructure and creating a new dock on the Mississippi River. 
There would also be money available to stabilize places like the vacant Railway Exchange Building. 
Another $65 million would go toward city infrastructure needs, including $30 million specifically toward water-related projects. 
And $25 million would be kept in reserve. 
Mayor Cara Spencer told reporters on Thursday that the goal of Rams allocation is to address the city’s key needs while understanding that the settlement cannot solve every long-term problem. 
She also said that the city wanted to wait to allocate Rams money to help victims of the May 16 tornado until it figured out what federal and state funds it could receive. 
“It can't address the $700 million the water department needs. 
It can't address the decades of not having an adequate plan to invest in our streets and other infrastructure. 
It can't possibly revitalize entirely downtown. 
This is not an amount of money that can do all these things,” Spencer said. 
“And so instead, what we're doing here is making sizable investments in some very key areas  but recognizing that we cannot do everything with this.” 
Alderman Rasheen Aldridge of the 14th Ward said that while the legislative process could ultimately change the final distribution of funds, his colleagues are “not far from getting a bill across the finish line.” 
“I think if we can tweak some numbers to put some more into north St. 
Louis, but still have a large amount going into downtown, have a nice amount going into city wide infrastructure, I could see something like this getting across the finish line,” Aldridge said. 
“I think it helps that this bill doesn't just help one part of St Louis. 
I think it helps everybody.” 
Alderwoman Alisha Sonnier of the 7th Ward said the negotiations over the Rams money have been less contentious than when the subject came up last year  primarily because those involved agree that more help needs to go to tornado victims. 
“Homeowners are now homeless  and thousands of them, not a small portion of them,” Sonnier said. 
“And we know that our city's sustainability is linked to our need to support these communities that arguably already needed the support. 
But whereas that might have been a conversation to have before, there's no denying the need now because of the tornado. 
So that has also made this conversation just a lot easier of a conversation to have.” 
Still, Sonnier said she would like to see some of the funds invested in the city’s children. 
She pointed out how some of the public infrastructure funds could go toward redeveloping recreational centers. 
She added that there should be conversations about whether those funds go solely for capital improvements or programming. 
“I think that the city should not spend a quarter of a billion dollars and not invest in our children. 
I think that's really important that we create spaces,” Sonnier said. 
“I keep hearing that constantly from residents, especially since there was the implementation of the curfew.” 
In the meantime, Board of Aldermen President Megan Green’s office said on Thursday that a portal will be available soon detailing the breakdown of how the Rams funds are being spent. 
It will also provide space for public feedback. 
Article reasoning-pattern comparisonThis article: 3.2%Jason Rosenbaum: 2.4%Belleville News-Democrat: 2.4%Confirmation Bias3.2%This article: 8.4%Jason Rosenbaum: 0.6%Belleville News-Democrat: 1.2%Anchoring Bias8.4%This article: 7.6%Jason Rosenbaum: 2.3%Belleville News-Democrat: 2.7%Availability Heuristic7.6%This article: 0.0%Jason Rosenbaum: 1.1%Belleville News-Democrat: 0.8%Representativeness Heuristic0.0%This article: 0.0%Jason Rosenbaum: 0.3%Belleville News-Democrat: 0.5%Hindsight Bias0.0%This article: 0.0%Jason Rosenbaum: 1.8%Belleville News-Democrat: 1.4%Overconfidence Bias0.0%This article: 8.1%Jason Rosenbaum: 8.6%Belleville News-Democrat: 7.3%Framing Effect8.1%This article: 2.9%Jason Rosenbaum: 0.7%Belleville News-Democrat: 1.1%Loss Aversion2.9%This article: 8.1%Jason Rosenbaum: 1.4%Belleville News-Democrat: 1.0%Status Quo Bias8.1%This article: 0.0%Jason Rosenbaum: 0.1%Belleville News-Democrat: 0.3%Sunk Cost Effect0.0%This article: 7.2%Jason Rosenbaum: 3.6%Belleville News-Democrat: 4.8%Optimism Bias7.2%This article: 10.2%Jason Rosenbaum: 2.1%Belleville News-Democrat: 1.9%Pessimism Bias10.2%This article: 4.0%Jason Rosenbaum: 6.7%Belleville News-Democrat: 7.1%Negativity Bias4.0%This article: 0.0%Jason Rosenbaum: 3.5%Belleville News-Democrat: 3.1%Self-Serving Bias0.0%This article: 0.0%Jason Rosenbaum: 1.2%Belleville News-Democrat: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Jason Rosenbaum: 0.3%Belleville News-Democrat: 0.2%Actor-Observer Bias0.0%This article: 2.2%Jason Rosenbaum: 3.0%Belleville News-Democrat: 2.2%In-Group Bias2.2%This article: 0.0%Jason Rosenbaum: 0.9%Belleville News-Democrat: 0.5%Out-Group Homogeneity Bias0.0%This article: 0.7%Jason Rosenbaum: 2.0%Belleville News-Democrat: 2.4%Halo Effect0.7%This article: 0.0%Jason Rosenbaum: 0.1%Belleville News-Democrat: 0.1%Horn Effect0.0%This article: 0.0%Jason Rosenbaum: 0.0%Belleville News-Democrat: 0.0%Dunning-Kruger Effect0.0%This article: 4.6%Jason Rosenbaum: 1.1%Belleville News-Democrat: 1.0%Recency Bias4.6%This article: 0.0%Jason Rosenbaum: 0.2%Belleville News-Democrat: 0.3%Primacy Effect0.0%This article: 0.0%Jason Rosenbaum: 0.1%Belleville News-Democrat: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jason Rosenbaum: 1.5%Belleville News-Democrat: 0.5%Ad Hominem0.0%This article: 0.0%Jason Rosenbaum: 0.7%Belleville News-Democrat: 0.4%Straw Man0.0%This article: 0.0%Jason Rosenbaum: 3.0%Belleville News-Democrat: 3.6%Appeal to Authority0.0%This article: 10.1%Jason Rosenbaum: 1.6%Belleville News-Democrat: 1.3%False Dilemma10.1%This article: 0.0%Jason Rosenbaum: 2.1%Belleville News-Democrat: 0.9%Slippery Slope0.0%This article: 0.0%Jason Rosenbaum: 0.2%Belleville News-Democrat: 0.2%Circular Reasoning0.0%This article: 0.7%Jason Rosenbaum: 4.9%Belleville News-Democrat: 3.7%Hasty Generalization0.7%This article: 0.0%Jason Rosenbaum: 0.4%Belleville News-Democrat: 0.3%Red Herring0.0%This article: 0.0%Jason Rosenbaum: 1.0%Belleville News-Democrat: 0.7%Bandwagon0.0%This article: 2.4%Jason Rosenbaum: 7.2%Belleville News-Democrat: 6.6%Appeal to Emotion2.4%This article: 3.2%Jason Rosenbaum: 1.3%Belleville News-Democrat: 0.8%Begging the Question3.2%This article: 8.2%Jason Rosenbaum: 1.9%Belleville News-Democrat: 2.1%Post Hoc (False Cause)8.2%This article: 0.0%Jason Rosenbaum: 0.2%Belleville News-Democrat: 0.1%Tu Quoque0.0%This article: 0.0%Jason Rosenbaum: 0.5%Belleville News-Democrat: 0.4%Burden of Proof0.0%This article: 3.0%Jason Rosenbaum: 0.2%Belleville News-Democrat: 0.2%Appeal to Nature3.0%This article: 0.0%Jason Rosenbaum: 0.3%Belleville News-Democrat: 0.2%Composition/Division0.0%This article: 4.8%Jason Rosenbaum: 1.5%Belleville News-Democrat: 2.6%Anecdotal4.8%This article: 0.0%Jason Rosenbaum: 0.3%Belleville News-Democrat: 0.1%No True Scotsman0.0%This article: 4.6%Jason Rosenbaum: 1.3%Belleville News-Democrat: 1.3%Ambiguity (Equivocation)4.6%This article: 0.0%Jason Rosenbaum: 0.0%Belleville News-Democrat: 0.0%Gambler’s Fallacy0.0%This article: 2.6%Jason Rosenbaum: 0.1%Belleville News-Democrat: 0.1%Middle Ground2.6%This article: 0.0%Jason Rosenbaum: 0.0%Belleville News-Democrat: 0.1%Personal Incredulity0.0%This article: 0.0%Jason Rosenbaum: 0.2%Belleville News-Democrat: 0.2%Special Pleading0.0%This article: 0.0%Jason Rosenbaum: 0.1%Belleville News-Democrat: 0.2%Genetic Fallacy0.0%This article: 2.9%Jason Rosenbaum: 1.2%Belleville News-Democrat: 0.8%Unattributed Quote2.9%This article: 1.4%Jason Rosenbaum: 1.0%Belleville News-Democrat: 0.9%Quote-first Misdirection1.4%This article: 1.2%Jason Rosenbaum: 2.9%Belleville News-Democrat: 1.8%Biased Writer Voice1.2%This article: 0.0%Jason Rosenbaum: 1.3%Belleville News-Democrat: 1.1%Indoctrination0.0%This article: 0.0%Jason Rosenbaum: 1.8%Belleville News-Democrat: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Jason Rosenbaum: 1.7%Belleville News-Democrat: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Jason Rosenbaum: 0.1%Belleville News-Democrat: 0.7%Attempt to Sell a Product or S…0.0%

694 words analyzed.

Speakers

4speakers71%attributed speech200writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 1 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageCara Spencer • 30 words • 0.0% coverageCara Spencer • 33 words • 0.0% coverageCara Spencer • 10 words • 100.0% coverageCara Spencer • 19 words • 0.0% coverageCara Spencer • 6 words • 0.0% coverageCara Spencer • 15 words • 0.0% coverageCara Spencer • 26 words • 0.0% coverageRasheen Aldridge • 34 words • 0.0% coverageRasheen Aldridge • 15 words • 0.0% coverageRasheen Aldridge • 32 words • 0.0% coverageRasheen Aldridge • 15 words • 0.0% coverageRasheen Aldridge • 5 words • 0.0% coverageAlisha Sonnier • 41 words • 0.0% coverageAlisha Sonnier • 17 words • 0.0% coverageAlisha Sonnier • 22 words • 0.0% coverageAlisha Sonnier • 21 words • 0.0% coverageAlisha Sonnier • 16 words • 0.0% coverageAlisha Sonnier • 17 words • 0.0% coverageAlisha Sonnier • 16 words • 0.0% coverageAlisha Sonnier • 18 words • 0.0% coverageAlisha Sonnier • 20 words • 0.0% coverageAlisha Sonnier • 11 words • 0.0% coverageAlisha Sonnier • 16 words • 0.0% coverageMegan Green’s office • 31 words • 0.0% coverageMegan Green’s office • 8 words • 0.0% coverage
Selected voice

Alisha Sonnier

85%flagged-word coverage
215 attributed words44% of attributed speech39% writer coverage
0%5.0%10.0%Unattributed Quote-10.0 ptsWriter: 10.0%Alisha Sonnier: 0.0%0.0%Biased Writer Voice-4.0 ptsWriter: 4.0%Alisha Sonnier: 0.0%0.0%

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

Loading…
Loading…
Loading…
Loading…

Analysis

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