Mysterious 'little red dots' at the beginning time may finally have an explanation, thanks to newfound 'little blue companions' 55%

By Ivan Farkas20%

7/20/2026, 10:39:41 AM

BS Summary: This article contains 20 faulty reasoning types, including Optimism Bias, Confirmation Bias, and Hasty Generalization, with Post Hoc (False Cause) as the most egregious example at 15.6% saturation with 112 hits. Analysis detected 983 faulty-reasoning hits from 717 analyzed words, generating a BS Score of 53% and a BS Rank of 55% (9,850 of 21,887 articles). This article is worse (more manipulative) than 55.00% of the article peer group.

After using the James Webb Space Telescope (JWST) to peer back toward the beginning of time, astronomers have proposed a radical new explanation for one of the universe's most flummoxing phenomena. 
Little red dots (LRDs) are mysteriously compact, brilliant celestial objects found predominantly when the universe was less than 10% of its current age. 
As revealed by JWST's unmatched infrared sensitivity, LRDs emerged incredibly early, only around 600 million years after the Big Bang , and then began disappearing about a billion years later. 
Now, in a paper published in The Astrophysical Journal Letters , astronomers have proposed a novel formation mechanism for LRDs: They may be birthed by previously undiscovered celestial companions, whose intense ultraviolet (UV) radiation causes gas clouds to collapse into incredibly dense and exotic objects, like " black hole stars ." 
An illustration of a black hole star, or quasi-star, powered by a black hole surrounded by a cocoon of gas. 
(Image credit: (MPIA/HdA/T. 
Müller/A. de Graaff) via Wikimedia Commons) "The most surprising aspect… is that these little red dots are not just 'red dots,' but there is a more complex emission nearby and around them," Josephine Baggen , an astronomer at Yale University and first author of the study, told Live Science in an email. 
"We think those what we call 'companions' are starlight." 
In the study, the researchers compiled a sample of 83 LRDs, imaged with JWST, from ultradeep surveys. 
They found that 36 of the 83 LRDs, including over 80% of the brightest ones, hosted at least one companion that shined bright in blue-ish ultraviolet light; little red dots with little blue companions. 
The LRDs sampled in this study. 
(Image credit: (Baggen et al., ApJL, 2026) ) These companions had masses ranging from hundreds of millions to billions that of the sun, suggesting that they may be star clusters or relatively small early galaxies , Baggen told Live Science. 
These UV-spewing companions spurred the formation of LRDs from immense gas clouds, the team's new proposal states. 
Normally, cold molecular gas clouds fragment and condense into stars. 
But the intense UV irradiation from the companions halted the fragmentation process, potentially squeezing the gas clouds into supermassive stars that directly collapsed into black holes while skipping the explosive supernova stage that normally marks these stars' deaths. 
This proposal helps to explain why LRDs appear bright in red optical light and UV wavelengths, with a dip between the two caused by the wavelengths of light absorbed by hydrogen gas. 
Rather than originating from a single object, the optical red light derives from the LRD, the UV light comes from its nearby companion, and the dip is thought to be caused by the dense cocoon of gas around the LRD. 
As a result, the researchers suggested that all LRDs may have such partners but they may be too close together to be distinguished. 
Conversely, some companions may be separated by greater distances than the researchers accounted for in this study, requiring future observations to zoom out. 
Black hole butterflies? 
James Webb telescope spots dozens of black hole 'cocoons' in early universe. 
The James Webb telescope found hundreds of 'little red dots' in the ancient universe. 
We still don't know what they are. 
'Not so exotic anymore': The James Webb telescope is unraveling the truth about the universe's first black holes 
Intriguingly, this work may illuminate a couple of early-universe enigmas. 
First, the black holes manifesting from these interactions may be between 100,000 and 1 million solar masses, forming the "seeds" necessary to explain how ancient supermassive black holes grew so surprisingly massive so early in cosmic history . 
Additionally, because LRDs may merge with the relatively small, UV-spewing galaxies that birthed them, this process may have created the impressively immense galaxies all around us today. 
"We do think that this might be the birth of the supermassive black holes around these UV companions, born 'outside the galaxy,' [which] will eventually merge," Baggen told Live Science. 
"Whether this is what happened to the Milky Way in its earliest phases, we cannot really say, but it is plausible! 
There is still a lot of debate about how LRDs evolve and what they turn into at later times." 
Article reasoning-pattern comparisonThis article: 11.7%Ivan Farkas: 4.3%Live Science: 2.7%Confirmation Bias11.7%This article: 0.0%Ivan Farkas: 1.6%Live Science: 1.2%Anchoring Bias0.0%This article: 4.2%Ivan Farkas: 3.2%Live Science: 2.7%Availability Heuristic4.2%This article: 4.7%Ivan Farkas: 1.4%Live Science: 1.4%Representativeness Heuristic4.7%This article: 2.5%Ivan Farkas: 0.4%Live Science: 0.5%Hindsight Bias2.5%This article: 5.4%Ivan Farkas: 2.8%Live Science: 3.0%Overconfidence Bias5.4%This article: 5.7%Ivan Farkas: 5.2%Live Science: 3.3%Framing Effect5.7%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.5%Loss Aversion0.0%This article: 2.6%Ivan Farkas: 1.1%Live Science: 0.4%Status Quo Bias2.6%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.2%Sunk Cost Effect0.0%This article: 15.2%Ivan Farkas: 6.9%Live Science: 3.5%Optimism Bias15.2%This article: 0.0%Ivan Farkas: 0.5%Live Science: 1.2%Pessimism Bias0.0%This article: 7.3%Ivan Farkas: 2.0%Live Science: 3.3%Negativity Bias7.3%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.6%Self-Serving Bias0.0%This article: 0.0%Ivan Farkas: 0.3%Live Science: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%Actor-Observer Bias0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.3%In-Group Bias0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Ivan Farkas: 0.8%Live Science: 1.3%Halo Effect0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Horn Effect0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Dunning-Kruger Effect0.0%This article: 1.7%Ivan Farkas: 2.5%Live Science: 0.9%Recency Bias1.7%This article: 2.0%Ivan Farkas: 0.3%Live Science: 0.3%Primacy Effect2.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%Blind-Spot Bias0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Ad Hominem0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%Straw Man0.0%This article: 11.4%Ivan Farkas: 5.8%Live Science: 4.2%Appeal to Authority11.4%This article: 5.6%Ivan Farkas: 1.7%Live Science: 1.1%False Dilemma5.6%This article: 5.3%Ivan Farkas: 0.9%Live Science: 0.4%Slippery Slope5.3%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Circular Reasoning0.0%This article: 11.7%Ivan Farkas: 4.0%Live Science: 3.8%Hasty Generalization11.7%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.3%Red Herring0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.3%Bandwagon0.0%This article: 0.4%Ivan Farkas: 1.7%Live Science: 2.3%Appeal to Emotion0.4%This article: 7.0%Ivan Farkas: 1.2%Live Science: 0.5%Begging the Question7.0%This article: 15.6%Ivan Farkas: 8.1%Live Science: 2.3%Post Hoc (False Cause)15.6%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Tu Quoque0.0%This article: 0.0%Ivan Farkas: 0.3%Live Science: 0.4%Burden of Proof0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.5%Appeal to Nature0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.3%Composition/Division0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 1.8%Anecdotal0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%No True Scotsman0.0%This article: 5.6%Ivan Farkas: 0.9%Live Science: 1.7%Ambiguity (Equivocation)5.6%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%Middle Ground0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%Personal Incredulity0.0%This article: 0.0%Ivan Farkas: 0.5%Live Science: 0.1%Special Pleading0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.1%Genetic Fallacy0.0%This article: 0.0%Ivan Farkas: 1.3%Live Science: 1.5%Unattributed Quote0.0%This article: 11.4%Ivan Farkas: 3.9%Live Science: 1.0%Quote-first Misdirection11.4%This article: 0.0%Ivan Farkas: 14.0%Live Science: 3.5%Biased Writer Voice0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 1.0%Indoctrination0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Ivan Farkas: 0.0%Live Science: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Ivan Farkas: 0.7%Live Science: 1.6%Attempt to Sell a Product or S…0.0%

717 words analyzed.

Speakers

1speaker21%attributed speech565writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 19 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 51 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageJosephine Baggen • 52 words • 100.0% coverageJosephine Baggen • 9 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageJosephine Baggen • 40 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageJosephine Baggen • 30 words • 100.0% coverageJosephine Baggen • 21 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverage
Selected voice

Josephine Baggen

86%flagged-word coverage
152 attributed words100% of attributed speech81% writer coverage
0%27.5%55.0%Quote-first Misdirection+53.9 ptsWriter: 0.0%Josephine Baggen: 53.9%53.9%

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.