It’s the Most Famous Algae in the World. And It Has a Fan Club. 45%

By Cara Giaimo0%

6/27/2026, 7:00:00 AM

BS Summary: This article contains 36 faulty reasoning types, including Overconfidence Bias, Halo Effect, and Availability Heuristic, with Appeal to Authority as the most egregious example at 16.5% saturation with 145 hits. Analysis detected 1,528 faulty-reasoning hits from 878 analyzed words, generating a BS Score of 47.3% and a BS Rank of 45% (12,236 of 21,887 articles). This article is better (less manipulative) than 55.90% of the article peer group.

On June 5, workers began refilling the newly renovated Lincoln Memorial Reflecting Pool. 
By June 15, the water had been taken over by algae. 
You know the story: The pool got greener and greener. 
President Donald Trump, who had made the clarity of the Reflecting Pool a cornerstone of his summer plans, got madder and madder. 
As Euan Reavie followed the news, he found himself put out, too—for a different reason. 
“I was so frustrated that no one had actually analyzed a sample,” he says. 
Reavie is a senior research associate at the University of Minnesota whose work centers around “algae as indicators of environmental changes.” 
While the Department of the Interior has said that they are testing the water, they haven’t publicly shared the results. 
So Reavie deputized a friend of a friend in D.C. to dip a vial into the green water and ship it to him overnight. 
Then he put it under a microscope, he says, “just to see what was in there.” 
The answer, for that sample, was: mostly Desmodesmus, a green algae that gobbles up phosphorus and nitrogen. 
In the weeks since the Reflecting Pool’s makeover went south, many have seized what is a rich and slimy opportunity for metaphor. 
Commentators draw parallels with other intractable conflicts, and count the taxpayer money they say has spiraled down the drain. 
Protesters hold signs supporting “Team Algae.” 
A thousand memes have bloomed. 
But one group is staying literal: the algae fans. 
They’re looking at the algae and seeing algae. 
And they’re hoping we can see it, too. 
Algae can powerfully impact their surroundings, for good or ill. 
Reavie usually studies algae in the Great Lakes, where they make up the base of the freshwater food web, supporting an ecosystem that in turn supports a $5 billion fishing economy. 
The kelp that form vast underwater forests (and which manufacturers use to make fertilizer, and as a component of toothpaste and shampoo) are algae. 
So are the numerous organisms that create harmful algal blooms (or HABs), which can poison wildlife and humans. 
But not all algae is like that. 
“People were making assumptions about it being toxic,” said Reavie about the Reflecting Pool algae. 
Desmodesmus is “not a dangerous thing,” he says, although in such large amounts, “it can be unsightly for sure,” as well as stinky. 
He posted his microscope photos in a few places online, titling them “the people’s algae.” 
Algae-heads have flocked to the posts to share their own photos, hazard species-level identifications, and talk trash. 
Some engaged in educated schadenfreude: “WAIT WAIT WAIT. 
It’s a [Desmodesmus] bloom??? 
Green algae is not  susceptible to hydrogen peroxide as a control method,” one redditor pointed out, referring to an attempt made to fight the algae. 
(In fact, according to the Atlantic, the hydrogen peroxide may have simply killed off blue-green algae, leaving room for Desmodesmus and related kinds of green algae to thrive.) 
Others were pulled back to their lab days: “Considering volunteering my services as I have unintentionally killed Desmodesmus cultures many times,” one scientist reminisced on Bluesky. 
Others, it seems, wanted merch. 
When Annie Talley heard about the algae in the Reflecting Pool, she decided to honor it the best way she knew how: by creating a commemorative suncatcher that looks like a little Desmodesmus. 
She shared a photo in the Amateur Microscopy Facebook group she frequents, noting it’s “the most famous algae in the world right now!!” 
Talley, an artist and retired college biology teacher, has—prior to the Reflecting Pool situation—made dozens of algae-themed suncatchers out of UV resin. 
While some of these creations have been commissioned by researchers, most hang in the window of her house. 
(Phycology, or the study of algae, is “really not that big of a field,” she says.) 
But her Desmodesmus photo has over 1,000 likes. 
“People are emailing me,” she says. 
“They want to buy them.” 
Talley’s suncatchers dangle in the air and catch the light, an homage to algae’s most impactful contribution: producing over half of the world’s oxygen, which they do using energy from the sun. 
“People think, ‘Oh, algae, it’s poison,’  she says. 
“But some algaes are good and some are bad.” 
Plus, up close, “they’re just beautiful,” she says. 
Alongside the curiosity and wholehearted appreciation, these fans see another benefit of focusing on the algae: It leads to the truth. 
Trump has asserted that the algae’s pool takeover must be an act of vandalism. 
But anyone who knows about algae will realize that it didn’t need any help, Talley says. 
The seeds of this algae bloom could have come from the air, the rain, or the piped-in replacement water. 
And “if they fertilize the lawn around the pool, all that water that’s running in there is adding nitrogen and phosphorus,” she says. 
“That’s what they love.” 
Reavie was careful to say that without ongoing monitoring, he could only guess why the algae arrived, and what might happen to it next. 
But the coat of dark paint certainly doesn’t help, he says: “The pool is going to be much warmer now throughout the summer, which is going to promote, potentially, blooms of algae that you really don’t want.” 
Article reasoning-pattern comparisonThis article: 9.7%Cara Giaimo: 3.6%Slate: 4.2%Confirmation Bias9.7%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.4%Anchoring Bias0.0%This article: 10.5%Cara Giaimo: 3.2%Slate: 3.2%Availability Heuristic10.5%This article: 2.7%Cara Giaimo: 0.7%Slate: 1.4%Representativeness Heuristic2.7%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.7%Hindsight Bias0.0%This article: 11.3%Cara Giaimo: 5.3%Slate: 2.0%Overconfidence Bias11.3%This article: 5.5%Cara Giaimo: 7.9%Slate: 5.9%Framing Effect5.5%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.6%Loss Aversion0.0%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.4%Status Quo Bias0.0%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.2%Sunk Cost Effect0.0%This article: 8.8%Cara Giaimo: 2.2%Slate: 1.1%Optimism Bias8.8%This article: 4.2%Cara Giaimo: 1.1%Slate: 1.8%Pessimism Bias4.2%This article: 4.6%Cara Giaimo: 5.8%Slate: 9.8%Negativity Bias4.6%This article: 3.0%Cara Giaimo: 0.7%Slate: 0.8%Self-Serving Bias3.0%This article: 0.0%Cara Giaimo: 0.4%Slate: 2.0%Fundamental Attribution Error0.0%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.2%Actor-Observer Bias0.0%This article: 1.0%Cara Giaimo: 2.2%Slate: 1.5%In-Group Bias1.0%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.9%Out-Group Homogeneity Bias0.0%This article: 10.6%Cara Giaimo: 2.6%Slate: 2.7%Halo Effect10.6%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.6%Horn Effect0.0%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Cara Giaimo: 0.0%Slate: 1.0%Recency Bias0.0%This article: 0.5%Cara Giaimo: 0.1%Slate: 0.5%Primacy Effect0.5%This article: 1.8%Cara Giaimo: 0.5%Slate: 0.1%Blind-Spot Bias1.8%This article: 0.0%Cara Giaimo: 0.0%Slate: 1.8%Ad Hominem0.0%This article: 2.1%Cara Giaimo: 1.2%Slate: 0.9%Straw Man2.1%This article: 16.5%Cara Giaimo: 7.1%Slate: 2.8%Appeal to Authority16.5%This article: 3.2%Cara Giaimo: 1.1%Slate: 1.7%False Dilemma3.2%This article: 4.2%Cara Giaimo: 1.1%Slate: 1.8%Slippery Slope4.2%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.1%Circular Reasoning0.0%This article: 4.3%Cara Giaimo: 4.7%Slate: 7.8%Hasty Generalization4.3%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.2%Red Herring0.0%This article: 4.2%Cara Giaimo: 1.7%Slate: 0.6%Bandwagon4.2%This article: 2.7%Cara Giaimo: 0.7%Slate: 5.0%Appeal to Emotion2.7%This article: 4.2%Cara Giaimo: 1.1%Slate: 1.2%Begging the Question4.2%This article: 8.1%Cara Giaimo: 3.6%Slate: 2.3%Post Hoc (False Cause)8.1%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.2%Tu Quoque0.0%This article: 5.5%Cara Giaimo: 1.4%Slate: 0.2%Burden of Proof5.5%This article: 6.8%Cara Giaimo: 2.6%Slate: 0.3%Appeal to Nature6.8%This article: 4.8%Cara Giaimo: 1.2%Slate: 0.4%Composition/Division4.8%This article: 5.8%Cara Giaimo: 2.2%Slate: 3.3%Anecdotal5.8%This article: 0.9%Cara Giaimo: 0.2%Slate: 0.1%No True Scotsman0.9%This article: 8.7%Cara Giaimo: 2.2%Slate: 1.4%Ambiguity (Equivocation)8.7%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.0%Gambler’s Fallacy0.0%This article: 1.0%Cara Giaimo: 0.3%Slate: 0.1%Middle Ground1.0%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.2%Personal Incredulity0.0%This article: 1.6%Cara Giaimo: 0.4%Slate: 0.1%Special Pleading1.6%This article: 0.0%Cara Giaimo: 0.0%Slate: 0.2%Genetic Fallacy0.0%This article: 1.6%Cara Giaimo: 0.7%Slate: 1.4%Unattributed Quote1.6%This article: 0.0%Cara Giaimo: 0.6%Slate: 0.9%Quote-first Misdirection0.0%This article: 6.2%Cara Giaimo: 1.9%Slate: 19.6%Biased Writer Voice6.2%This article: 3.3%Cara Giaimo: 0.8%Slate: 2.4%Indoctrination3.3%This article: 2.2%Cara Giaimo: 0.5%Slate: 5.1%Politically Left Leaning Bias2.2%This article: 1.6%Cara Giaimo: 0.4%Slate: 0.3%Politically Right Leaning Bias1.6%This article: 0.6%Cara Giaimo: 1.2%Slate: 1.1%Attempt to Sell a Product or S…0.6%

878 words analyzed.

Speakers

3speakers31%attributed speech607writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageEuan Reavie • 14 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageEuan Reavie • 16 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageEuan Reavie • 15 words • 0.0% coverageEuan Reavie • 23 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageThe Atlantic • 28 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageAnnie Talley • 23 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageAnnie Talley • 16 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageAnnie Talley • 6 words • 0.0% coverageAnnie Talley • 5 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverageAnnie Talley • 9 words • 0.0% coverageAnnie Talley • 9 words • 0.0% coverageAnnie Talley • 8 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageAnnie Talley • 16 words • 0.0% coverageAnnie Talley • 19 words • 0.0% coverageAnnie Talley • 23 words • 0.0% coverageAnnie Talley • 4 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageEuan Reavie • 37 words • 0.0% coverage
Selected voice

The Atlantic

100%flagged-word coverage
28 attributed words10% of attributed speech87% writer coverage
0%5.0%10.0%Biased Writer Voice-8.9 ptsWriter: 8.9%The Atlantic: 0.0%0.0%Indoctrination-4.8 ptsWriter: 4.8%The Atlantic: 0.0%0.0%Politically Left Leaning B-3.1 ptsWriter: 3.1%The Atlantic: 0.0%0.0%Politically Right Leaning -2.3 ptsWriter: 2.3%The Atlantic: 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.