Vox67%

The flu shot finally gets an upgrade 26%

By Caitlin Dewey50%

8/6/2026, 1:20:00 PM

BS Summary: This article contains 20 faulty reasoning types, including Optimism Bias, Availability Heuristic, and Hasty Generalization, with Biased Writer Voice as the most egregious example at 17.3% saturation with 119 hits. Analysis detected 566 faulty-reasoning hits from 689 analyzed words, generating a BS Score of 30.3% and a BS Rank of 26% (22,901 of 30,584 articles). This article is better (less manipulative) than 74.90% of the article peer group.

This story appeared in Today, Explained, a daily newsletter that helps you understand the most compelling news and stories of the day. 
Subscribe here. 
The Food and Drug Administration approved Moderna’s mRNA flu vaccine this week  a major public health breakthrough for an administration that’s been troublingly down on vaccines. 
The flu is a gigantic and costly illness, causing 1 billion infections and 300,000 deaths each year. 
But this new shot, built on advances from the Covid-19 pandemic, is expected to outperform the standard flu vaccine that we’ve used, largely unchanged, for the past 80 years. 
The new shot fixes a problem that has long bedeviled the traditional vaccine: the gap between how quickly the flu virus mutates and how slowly vaccines are produced. 
The flu is changing constantly. 
But under current methods, manufacturing a flu vaccine  which, to my enormous fascination, most commonly involves secret chicken farms  takes six to eight months. 
That long lag often means the virus circulating during flu season isn’t the one the vaccine was designed to target. 
But the new mRNA vaccine works differently: Instead of using a weakened or dead virus to trigger an immune response, mRNA vaccines contain genetic instructions that train the immune system to fight influenza. 
mRNA vaccines also take less time to manufacture, so they can be produced closer to flu season. 
In a clinical trial, older adults who received Moderna’s mRNA vaccine were 27 percent less likely to get the flu than those who received the standard vaccine. 
Heads up: Vox’s offices are closed tomorrow, so Today, Explained is taking a day off. 
We’ll be back in your inbox on Monday. 
A world without flu? 
Public health experts are justifiably hyped about mRNA technology. 
In addition to this new flu shot, researchers are developing mRNA vaccines against diseases including malaria, tuberculosis, and HIV. 
But when it comes to influenza, mRNA isn’t the endgame. 
The real white whale is a “universal flu vaccine”  a shot that’s at least 75 percent effective against influenza A, the most dangerous type of flu virus, and lasts at least a year. 
The challenge, again, is that the virus keeps mutating. 
Flu vaccines, whether mRNA or conventional, teach the immune system to recognize a viral protein called hemagglutinin and then fight off the virus. 
But hemagglutinin is a part of the flu virus that mutates often. 
To make a more durable vaccine, researchers are trying to either target parts of the virus that rarely change or teach the immune system to simultaneously recognize many different strains. 
Several vaccines that use these approaches are already in clinical trials. 
And if they succeed, the flu shot could hypothetically become more like the measles vaccine  providing years of protection in one go, instead of requiring annual updates. 
In other words, we’re used to thinking of the flu as a routine winter hazard, but that might not always be the case. 
If you can persuade people to get their shots, at least. 
One link for later 
 Go ahead, take your time. 
Three etiquette experts tell Vox that, in most casual situations, you can run 10 to 15 minutes late without appearing inconsiderate. 
But that guideline is very culturally and contextually dependent, which is bad news for chronically late people like myself. 
I prefer to think it’s a result not of rudeness, but of polychronicism. 
Before you go… 
* Did you know…that the Fast & Furious franchise, now on its 10th movie, is (loosely) based on a 1998 magazine article? 
The author of that piece is still a working journalist, so it would not appear he got his money’s worth from Hollywood. 
* Today’s trivia: What’s the fourth largest Great Lake? 
(You can find this and other brain puzzles in Vox’s daily crossword. 
Look for the answer in Monday’s edition.) 
* Yesterday’s trivia: Yesterday we asked you for the name of the Nickelodeon game show hosted by Marc Summers. 
That would be Double Dare, which just celebrated the 40th anniversary of its first episode. 
The show is credited with influencing a generation of children’s media. 
Article reasoning-pattern comparisonThis article: 0.0%Caitlin Dewey: 2.0%Vox: 4.1%Confirmation Bias0.0%This article: 0.0%Caitlin Dewey: 0.4%Vox: 0.5%Anchoring Bias0.0%This article: 8.6%Caitlin Dewey: 3.7%Vox: 2.6%Availability Heuristic8.6%This article: 0.0%Caitlin Dewey: 1.0%Vox: 1.1%Representativeness Heuristic0.0%This article: 0.0%Caitlin Dewey: 0.4%Vox: 1.1%Hindsight Bias0.0%This article: 0.0%Caitlin Dewey: 0.9%Vox: 1.9%Overconfidence Bias0.0%This article: 0.0%Caitlin Dewey: 5.8%Vox: 5.2%Framing Effect0.0%This article: 0.0%Caitlin Dewey: 0.3%Vox: 0.3%Loss Aversion0.0%This article: 4.2%Caitlin Dewey: 0.6%Vox: 0.4%Status Quo Bias4.2%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.2%Sunk Cost Effect0.0%This article: 12.9%Caitlin Dewey: 1.8%Vox: 2.0%Optimism Bias12.9%This article: 0.0%Caitlin Dewey: 1.1%Vox: 1.9%Pessimism Bias0.0%This article: 2.5%Caitlin Dewey: 4.5%Vox: 5.7%Negativity Bias2.5%This article: 1.9%Caitlin Dewey: 0.7%Vox: 0.6%Self-Serving Bias1.9%This article: 1.9%Caitlin Dewey: 0.6%Vox: 1.1%Fundamental Attribution Error1.9%This article: 0.0%Caitlin Dewey: 0.2%Vox: 0.2%Actor-Observer Bias0.0%This article: 0.0%Caitlin Dewey: 0.1%Vox: 1.1%In-Group Bias0.0%This article: 0.0%Caitlin Dewey: 0.6%Vox: 0.5%Out-Group Homogeneity Bias0.0%This article: 1.3%Caitlin Dewey: 1.3%Vox: 0.9%Halo Effect1.3%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.1%Horn Effect0.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.0%Dunning-Kruger Effect0.0%This article: 2.8%Caitlin Dewey: 1.4%Vox: 1.1%Recency Bias2.8%This article: 3.3%Caitlin Dewey: 0.7%Vox: 0.3%Primacy Effect3.3%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.1%Blind-Spot Bias0.0%This article: 0.0%Caitlin Dewey: 0.3%Vox: 1.0%Ad Hominem0.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.7%Straw Man0.0%This article: 3.0%Caitlin Dewey: 2.4%Vox: 2.6%Appeal to Authority3.0%This article: 2.0%Caitlin Dewey: 1.6%Vox: 1.8%False Dilemma2.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 1.4%Slippery Slope0.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.1%Circular Reasoning0.0%This article: 5.5%Caitlin Dewey: 4.3%Vox: 5.6%Hasty Generalization5.5%This article: 0.0%Caitlin Dewey: 0.2%Vox: 0.2%Red Herring0.0%This article: 0.0%Caitlin Dewey: 0.3%Vox: 0.4%Bandwagon0.0%This article: 1.3%Caitlin Dewey: 2.3%Vox: 3.3%Appeal to Emotion1.3%This article: 0.0%Caitlin Dewey: 0.3%Vox: 0.7%Begging the Question0.0%This article: 2.9%Caitlin Dewey: 1.1%Vox: 2.8%Post Hoc (False Cause)2.9%This article: 0.0%Caitlin Dewey: 0.1%Vox: 0.3%Tu Quoque0.0%This article: 1.6%Caitlin Dewey: 0.5%Vox: 0.4%Burden of Proof1.6%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.1%Appeal to Nature0.0%This article: 4.1%Caitlin Dewey: 0.3%Vox: 0.3%Composition/Division4.1%This article: 3.2%Caitlin Dewey: 2.2%Vox: 1.9%Anecdotal3.2%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.2%No True Scotsman0.0%This article: 0.0%Caitlin Dewey: 1.4%Vox: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Caitlin Dewey: 0.2%Vox: 0.1%Middle Ground0.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.1%Personal Incredulity0.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.1%Special Pleading0.0%This article: 0.0%Caitlin Dewey: 0.0%Vox: 0.3%Genetic Fallacy0.0%This article: 0.0%Caitlin Dewey: 2.2%Vox: 1.5%Unattributed Quote0.0%This article: 0.0%Caitlin Dewey: 1.1%Vox: 0.7%Quote-first Misdirection0.0%This article: 17.3%Caitlin Dewey: 8.9%Vox: 7.4%Biased Writer Voice17.3%This article: 1.6%Caitlin Dewey: 2.1%Vox: 1.3%Indoctrination1.6%This article: 0.0%Caitlin Dewey: 1.9%Vox: 2.4%Politically Left Leaning Bias0.0%This article: 0.0%Caitlin Dewey: 0.1%Vox: 0.3%Politically Right Leaning Bias0.0%This article: 0.3%Caitlin Dewey: 2.8%Vox: 0.7%Attempt to Sell a Product or S…0.3%

689 words analyzed.

Speakers

1speaker3.9%attributed speech662writer words
100%flagged-word coverage
27 attributed words100% of attributed speech53% writer coverage
0%50.0%100.0%Biased Writer Voice+86.1 ptsWriter: 13.9%Food and Drug Administration: 100.0%100.0%Indoctrination-1.7 ptsWriter: 1.7%Food and Drug Administration: 0.0%0.0%Attempt to Sell a Product -0.3 ptsWriter: 0.3%Food and Drug Administration: 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.