FEMA approves disaster funding for Washington after December floods 16%

By Sarah Mizes-Tan41%

4/13/2026, 8:57:21 PM

BS Summary: This article contains 19 faulty reasoning types, including Post Hoc (False Cause), Burden of Proof, and Indoctrination, with Hindsight Bias as the most egregious example at 20.7% saturation with 63 hits. Analysis detected 631 faulty-reasoning hits from 304 analyzed words, generating a BS Score of 32.2% and a BS Rank of 16% (17,777 of 21,175 articles). This article is better (less manipulative) than 84.00% of the article peer group.

Washington’s request for disaster relief from the Federal Emergency Management Agency, or FEMA, has been approved after devastating floods wreaked havoc on parts of the state in December. 
Gov. 
Bob Ferguson estimated $182 million in infrastructure damages earlier this year, of which FEMA could cover up to $173 million. 
It’s not yet clear exactly how much FEMA will cover. 
Previously, there had been some uncertainty over whether the Trump administration would approve the request after FEMA denied the state relief funds following a bomb cyclone in 2024. 
“This is excellent news. 
I appreciate the president approving a major disaster declaration for Washington state and approving funding,” Ferguson said in a statement. 
“Thanks also to the bipartisan coalition of local, state, and federal officials who worked hard to advocate for this approval.” 
The funds will go toward rebuilding roads and levees, as well as building new infrastructure to protect from future floods. 
Ferguson also previously requested an additional $21 million from FEMA to help flood victims and reimburse individuals for damages. 
In a press conference earlier this year, Ferguson said he would also separately be requesting funds from the Federal Highway Administration to help repair state and federal highways, including U.S. 
2. 
Back in December, the Trump administration approved Washington’s initial emergency declaration for the floods, which allowed the federal government to step in to help “lessen or avert the threat of catastrophe” from the historic flooding. 
Individuals and families who sustained losses in the designated areas should first file claims with their insurance providers and then apply for assistance online at www.DisasterAssistance.gov, by calling 1-800-621-3362, or by using the FEMA App. 
If you use a relay service, such as video relay service (VRS), captioned telephone service, or others, provide FEMA the number for that service. 
Article reasoning-pattern comparisonThis article: 0.0%Sarah Mizes-Tan: 2.3%KUOW: 2.6%Confirmation Bias0.0%This article: 0.0%Sarah Mizes-Tan: 0.4%KUOW: 1.3%Anchoring Bias0.0%This article: 0.0%Sarah Mizes-Tan: 2.7%KUOW: 3.4%Availability Heuristic0.0%This article: 11.5%Sarah Mizes-Tan: 1.3%KUOW: 1.2%Representativeness Heuristic11.5%This article: 20.7%Sarah Mizes-Tan: 0.6%KUOW: 0.7%Hindsight Bias20.7%This article: 3.3%Sarah Mizes-Tan: 1.8%KUOW: 1.4%Overconfidence Bias3.3%This article: 0.0%Sarah Mizes-Tan: 7.4%KUOW: 7.4%Framing Effect0.0%This article: 0.0%Sarah Mizes-Tan: 0.7%KUOW: 1.0%Loss Aversion0.0%This article: 18.1%Sarah Mizes-Tan: 1.2%KUOW: 1.0%Status Quo Bias18.1%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.2%Sunk Cost Effect0.0%This article: 1.3%Sarah Mizes-Tan: 3.2%KUOW: 3.8%Optimism Bias1.3%This article: 0.0%Sarah Mizes-Tan: 1.5%KUOW: 1.8%Pessimism Bias0.0%This article: 9.2%Sarah Mizes-Tan: 5.4%KUOW: 8.0%Negativity Bias9.2%This article: 12.8%Sarah Mizes-Tan: 2.3%KUOW: 2.0%Self-Serving Bias12.8%This article: 0.0%Sarah Mizes-Tan: 0.6%KUOW: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.2%Actor-Observer Bias0.0%This article: 6.6%Sarah Mizes-Tan: 2.0%KUOW: 2.0%In-Group Bias6.6%This article: 0.0%Sarah Mizes-Tan: 0.7%KUOW: 0.5%Out-Group Homogeneity Bias0.0%This article: 6.6%Sarah Mizes-Tan: 1.1%KUOW: 2.7%Halo Effect6.6%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Sarah Mizes-Tan: 1.0%KUOW: 1.1%Recency Bias0.0%This article: 9.9%Sarah Mizes-Tan: 0.5%KUOW: 0.4%Primacy Effect9.9%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sarah Mizes-Tan: 1.1%KUOW: 0.5%Ad Hominem0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.3%Straw Man0.0%This article: 11.5%Sarah Mizes-Tan: 4.1%KUOW: 4.3%Appeal to Authority11.5%This article: 0.0%Sarah Mizes-Tan: 1.2%KUOW: 1.4%False Dilemma0.0%This article: 0.0%Sarah Mizes-Tan: 2.1%KUOW: 0.9%Slippery Slope0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.1%Circular Reasoning0.0%This article: 0.0%Sarah Mizes-Tan: 3.9%KUOW: 4.1%Hasty Generalization0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.3%Red Herring0.0%This article: 0.0%Sarah Mizes-Tan: 1.0%KUOW: 0.8%Bandwagon0.0%This article: 0.0%Sarah Mizes-Tan: 8.3%KUOW: 6.1%Appeal to Emotion0.0%This article: 0.0%Sarah Mizes-Tan: 0.9%KUOW: 0.8%Begging the Question0.0%This article: 20.7%Sarah Mizes-Tan: 1.7%KUOW: 2.2%Post Hoc (False Cause)20.7%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.1%Tu Quoque0.0%This article: 19.4%Sarah Mizes-Tan: 0.6%KUOW: 0.3%Burden of Proof19.4%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.2%Appeal to Nature0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.2%Composition/Division0.0%This article: 0.0%Sarah Mizes-Tan: 1.8%KUOW: 3.3%Anecdotal0.0%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.1%No True Scotsman0.0%This article: 13.2%Sarah Mizes-Tan: 1.8%KUOW: 1.4%Ambiguity (Equivocation)13.2%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.1%Middle Ground0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.1%Personal Incredulity0.0%This article: 0.0%Sarah Mizes-Tan: 0.4%KUOW: 0.2%Special Pleading0.0%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.2%Genetic Fallacy0.0%This article: 1.3%Sarah Mizes-Tan: 0.8%KUOW: 1.0%Unattributed Quote1.3%This article: 1.3%Sarah Mizes-Tan: 1.4%KUOW: 0.8%Quote-first Misdirection1.3%This article: 9.2%Sarah Mizes-Tan: 2.2%KUOW: 3.2%Biased Writer Voice9.2%This article: 19.4%Sarah Mizes-Tan: 1.6%KUOW: 1.5%Indoctrination19.4%This article: 0.0%Sarah Mizes-Tan: 1.9%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Sarah Mizes-Tan: 1.4%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 11.5%Sarah Mizes-Tan: 0.5%KUOW: 1.3%Attempt to Sell a Product or S…11.5%

304 words analyzed.

Speakers

1speaker36%attributed speech195writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageBob Ferguson • 20 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageBob Ferguson • 20 words • 0.0% coverageBob Ferguson • 20 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageBob Ferguson • 19 words • 0.0% coverageBob Ferguson • 30 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverage
Selected voice

Bob Ferguson

100%flagged-word coverage
109 attributed words100% of attributed speech94% writer coverage
0%17.5%35.0%Indoctrination-30.3 ptsWriter: 30.3%Bob Ferguson: 0.0%0.0%Attempt to Sell a Product -17.9 ptsWriter: 17.9%Bob Ferguson: 0.0%0.0%Biased Writer Voice-14.4 ptsWriter: 14.4%Bob Ferguson: 0.0%0.0%Unattributed Quote-2.1 ptsWriter: 2.1%Bob Ferguson: 0.0%0.0%Quote-first Misdirection-2.1 ptsWriter: 2.1%Bob Ferguson: 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.