WAMU⁠15%

The Politics Hour: House Republicans take aim at D.C. taxes and the Smithsonian ⁠17%

By Mblitz⁠10%

7/23/2026, 8:35:24 AM

BS Summary: This article contains 20 faulty reasoning types, including Indoctrination, Framing Effect, and Negativity Bias, with Recency Bias as the most egregious example at 13.8% saturation with 47 hits. Analysis detected 490 faulty-reasoning hits from 340 analyzed words, generating a BS Score of 32.4% and a BS Rank of ⁠17% (18,311 of 21,887 articles). This article is better (less manipulative) than 83.70% of the article peer group.

House Republicans are pushing a bill aimed at restricting D.C.’s ability to decrease or increase local taxe s. 
D.C. lawmakers are calling it an egregious attack on Home Rule. 
Council Chair Phil Mendelson joins the show to discuss why not allowing the District to change the tax code could “paralyze” the city . 
Plus, Kojo and Tom ask him his thoughts on driverless vehicles , ticket scalping , the bottle bill , and working with a new mayor . 
The White House released a report earlier this month accusing the Smithsonian museums of “undermining faith in American institutions .” 
This week, House Republicans followed the Trump administration’s lead with a subcommittee hearing focused on sharply questioning the Director of the Smithsonian’s National Museum of American History. 
Virginia Congressman James Walkinshaw defended the Smithsonian throughout the hearing and joins the show to take us behind the scenes. 
Plus, he weighs in on proposed historic preservation changes that would make it easier for President Trump to remake the District. 
Maryland communities, like many others around the country, are pushing back on data center development. 
This week, Montgomery County moved closer to extending its data center permit pause to 18 months, and a Maryland state senator is looking to introduce legislation for a statewide moratorium. 
But tech companies are now fighting back . 
WAMU’s Maryland reporter Jenny Abamu explains what’s at stake. 
We want to hear from you ! 
Send your questions for Chair Mendelson, Rep. 
Walkinshaw, and Jenny to kojo@wamu.org. 
You can also call in at noon on Friday to 1-800-433-8850. 
Sorting political fact from fiction, and having fun while we’re at it. 
Join us for our weekly review of the politics, policies, and personalities of the District of Columbia, Maryland, and Virginia. 
Produced by Matt Blitz 
Tom Sherwood , Resident Analyst; Contributing Writer for Washington City Paper 
Phil Mendelson , D.C. 
Council Chair 
James Walkinshaw , U.S. 
Representative, Virginia’s 11th Congressional District 
Jenny Abamu , WAMU’s Maryland reporter 
Article reasoning-pattern comparisonThis article: 7.9%Mblitz: 2.2%WAMU: 2.2%Confirmation Bias7.9%This article: 0.0%Mblitz: 0.0%WAMU: 1.1%Anchoring Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 2.9%Availability Heuristic0.0%This article: 4.4%Mblitz: 1.3%WAMU: 1.3%Representativeness Heuristic4.4%This article: 0.0%Mblitz: 0.0%WAMU: 0.4%Hindsight Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.9%Overconfidence Bias0.0%This article: 12.4%Mblitz: 11.5%WAMU: 5.2%Framing Effect12.4%This article: 6.2%Mblitz: 0.9%WAMU: 1.4%Loss Aversion6.2%This article: 0.0%Mblitz: 0.0%WAMU: 0.7%Status Quo Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.2%Sunk Cost Effect0.0%This article: 3.5%Mblitz: 1.1%WAMU: 1.5%Optimism Bias3.5%This article: 7.1%Mblitz: 3.1%WAMU: 2.3%Pessimism Bias7.1%This article: 11.8%Mblitz: 6.3%WAMU: 7.4%Negativity Bias11.8%This article: 0.0%Mblitz: 0.9%WAMU: 1.1%Self-Serving Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.1%Actor-Observer Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.7%In-Group Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.6%Halo Effect0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.0%Horn Effect0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.0%Dunning-Kruger Effect0.0%This article: 13.8%Mblitz: 3.3%WAMU: 1.3%Recency Bias13.8%This article: 0.0%Mblitz: 0.0%WAMU: 0.4%Primacy Effect0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.0%Blind-Spot Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.7%Ad Hominem0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.1%Straw Man0.0%This article: 5.9%Mblitz: 1.8%WAMU: 2.8%Appeal to Authority5.9%This article: 0.0%Mblitz: 0.0%WAMU: 0.8%False Dilemma0.0%This article: 7.1%Mblitz: 3.2%WAMU: 1.5%Slippery Slope7.1%This article: 0.0%Mblitz: 0.0%WAMU: 0.1%Circular Reasoning0.0%This article: 10.6%Mblitz: 2.6%WAMU: 4.5%Hasty Generalization10.6%This article: 0.0%Mblitz: 0.0%WAMU: 0.1%Red Herring0.0%This article: 2.4%Mblitz: 1.0%WAMU: 0.4%Bandwagon2.4%This article: 0.0%Mblitz: 0.5%WAMU: 4.6%Appeal to Emotion0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.6%Begging the Question0.0%This article: 7.9%Mblitz: 1.2%WAMU: 1.9%Post Hoc (False Cause)7.9%This article: 0.0%Mblitz: 0.0%WAMU: 0.1%Tu Quoque0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.9%Burden of Proof0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.1%Appeal to Nature0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.3%Composition/Division0.0%This article: 7.1%Mblitz: 1.1%WAMU: 2.5%Anecdotal7.1%This article: 0.0%Mblitz: 0.0%WAMU: 0.0%No True Scotsman0.0%This article: 2.4%Mblitz: 0.4%WAMU: 1.4%Ambiguity (Equivocation)2.4%This article: 0.0%Mblitz: 0.0%WAMU: 0.0%Gambler’s Fallacy0.0%This article: 3.5%Mblitz: 0.5%WAMU: 0.3%Middle Ground3.5%This article: 0.0%Mblitz: 0.0%WAMU: 0.2%Personal Incredulity0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.1%Special Pleading0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.2%Genetic Fallacy0.0%This article: 5.3%Mblitz: 3.3%WAMU: 1.2%Unattributed Quote5.3%This article: 0.0%Mblitz: 2.8%WAMU: 0.9%Quote-first Misdirection0.0%This article: 3.2%Mblitz: 1.5%WAMU: 2.7%Biased Writer Voice3.2%This article: 12.9%Mblitz: 2.0%WAMU: 1.0%Indoctrination12.9%This article: 0.0%Mblitz: 0.0%WAMU: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Mblitz: 0.0%WAMU: 0.2%Politically Right Leaning Bias0.0%This article: 8.8%Mblitz: 2.2%WAMU: 0.7%Attempt to Sell a Product or S…8.8%

340 words analyzed.

Speakers

3speakers22%attributed speech266writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 11 words • 100.0% coveragePhil Mendelson • 24 words • 100.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageJames Walkinshaw • 20 words • 0.0% coverageJames Walkinshaw • 21 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageJenny Abamu • 9 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverage
Selected voice

Phil Mendelson

100%flagged-word coverage
24 attributed words32% of attributed speech65% writer coverage
0%50.0%100.0%Indoctrination+92.5 ptsWriter: 7.5%Phil Mendelson: 100.0%100.0%Attempt to Sell a Product -11.3 ptsWriter: 11.3%Phil Mendelson: 0.0%0.0%Unattributed Quote-6.8 ptsWriter: 6.8%Phil Mendelson: 0.0%0.0%Biased Writer Voice-4.1 ptsWriter: 4.1%Phil Mendelson: 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.