Forbes46%

1.7 Million Satellites Will Have ‘Devastating Consequences,’ Study Says 48%

By Jamie Carter0%

7/2/2026, 6:27:53 AM

BS Summary: This article contains 24 faulty reasoning types, including Appeal to Authority, Confirmation Bias, and Pessimism Bias, with Negativity Bias as the most egregious example at 36.6% saturation with 204 hits. Analysis detected 1,195 faulty-reasoning hits from 557 analyzed words, generating a BS Score of 48.9% and a BS Rank of 48% (11,542 of 21,887 articles). This article is better (less manipulative) than 52.70% of the article peer group.

A new study by the European Southern Observatory warns that plans to launch more than 1.7 million satellites into orbit could have “devastating consequences for astronomy,” making the night sky brighter and reducing scientists’ ability to observe the galaxy and the universe beyond. 
SpaceX is set to build a new economy in low Earth orbit, expanding its current Starlink telecommunications constellation and adding orbital AI data centers and even wirelessly transmitted solar power from space. 
The study  only the latest to warn about the scientific and environmental dangers of crowding Earth’s orbit  concludes that Earth orbit should be limited to no more than 100,000 faint satellites, all below naked-eye visibility, to protect modern ground-based astronomy. 
According to Orbital Radar, there are currently 17,501 satellites orbiting Earth  10,000 of them active SpaceX Starlink satellites. 
“Until now we have managed, but it’s getting worse,” said Hainaut, an astronomer at ESO for over 30 years. 
Although some companies have taken steps to reduce satellite brightness, he warned that current proposals go “beyond the limit” of what astronomy can withstand. 
Satellites illuminated by the sun can leave bright streaks across telescope images, blocking faint galaxies, Earth-like exoplanets and potentially dangerous asteroids. 
Hainaut found that SpaceX’s mega-constellation could create dozens of satellite trails in images taken by ESO’s Very Large Telescope in Chile two hours into the night. 
That could cause field-of-view losses of up to 28%. 
Since they reflect light from the sun when it’s just below the horizon, it’s always just after sunset and just before sunrise that satellites cause the most problems. 
Wide-field cameras, such as the one at the Vera C. 
Rubin Observatory, could be even more vulnerable. 
A bright satellite trail can saturate detectors, produce ghost trails and potentially make images unusable. 
The study raises particular concern about Reflect Orbital, a U.S. start-up planning large mirror-like satellites designed to provide sunlight at night. 
The company aims to launch a prototype soon and expand to 50,000 satellites by 2035. 
Hainaut’s calculations show these satellites could become the brightest objects ever placed in orbit. 
From inside a reflected beam, one satellite could appear four times brighter than the full moon. 
Even when not aimed directly at an observer, each satellite could appear as bright as Venus. 
From a light-polluted city, its satellites would be the only ‘stars’ visible in the night sky. 
Hainaut argues the worst impacts can only be avoided by limiting the total number of satellites, existing and future, to around 100,000. 
He also stresses that satellites must be fainter than visual magnitude 7, so they remain invisible to the naked eye even under dark skies. 
Although they can be that bright soon after launch, Starlinks are typically fade to magnitude 5.5 once they reach their operational orbit, according to Astronomy magazine. 
SpaceX and Reflect Orbital have each filed with the U.S. 
Federal Communications Commission (FCC) for permission to launch. 
“The FCC received over 1,800 comments regarding Reflect Orbital and nearly 1,500 comments on the application by SpaceX,” said Betty Kioko at the ESO’s Institutional Affairs Office. 
“The ball is now in the FCC’s court, and we wait to see the determinations they make on both filings. 
For optical astronomy, this is an existential threat, and we hope that the regulators will share that view.” 
Article reasoning-pattern comparisonThis article: 15.8%Jamie Carter: 1.4%Forbes: 3.1%Confirmation Bias15.8%This article: 8.8%Jamie Carter: 1.4%Forbes: 1.2%Anchoring Bias8.8%This article: 11.5%Jamie Carter: 3.7%Forbes: 3.0%Availability Heuristic11.5%This article: 3.4%Jamie Carter: 1.3%Forbes: 1.1%Representativeness Heuristic3.4%This article: 0.0%Jamie Carter: 0.4%Forbes: 0.7%Hindsight Bias0.0%This article: 7.5%Jamie Carter: 2.2%Forbes: 2.3%Overconfidence Bias7.5%This article: 12.4%Jamie Carter: 6.1%Forbes: 5.8%Framing Effect12.4%This article: 3.9%Jamie Carter: 0.2%Forbes: 0.4%Loss Aversion3.9%This article: 4.7%Jamie Carter: 0.6%Forbes: 0.7%Status Quo Bias4.7%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.2%Sunk Cost Effect0.0%This article: 5.7%Jamie Carter: 5.5%Forbes: 3.9%Optimism Bias5.7%This article: 13.8%Jamie Carter: 1.4%Forbes: 1.3%Pessimism Bias13.8%This article: 36.6%Jamie Carter: 3.1%Forbes: 5.4%Negativity Bias36.6%This article: 0.0%Jamie Carter: 0.5%Forbes: 0.9%Self-Serving Bias0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.1%Actor-Observer Bias0.0%This article: 3.6%Jamie Carter: 0.3%Forbes: 0.6%In-Group Bias3.6%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Jamie Carter: 1.3%Forbes: 3.2%Halo Effect0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.0%Horn Effect0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.0%Dunning-Kruger Effect0.0%This article: 3.4%Jamie Carter: 1.7%Forbes: 1.6%Recency Bias3.4%This article: 0.0%Jamie Carter: 0.5%Forbes: 0.3%Primacy Effect0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.0%Blind-Spot Bias0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.1%Ad Hominem0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.1%Straw Man0.0%This article: 25.9%Jamie Carter: 3.8%Forbes: 4.6%Appeal to Authority25.9%This article: 3.9%Jamie Carter: 1.1%Forbes: 1.6%False Dilemma3.9%This article: 0.0%Jamie Carter: 0.1%Forbes: 0.5%Slippery Slope0.0%This article: 0.0%Jamie Carter: 0.1%Forbes: 0.2%Circular Reasoning0.0%This article: 7.9%Jamie Carter: 1.8%Forbes: 5.7%Hasty Generalization7.9%This article: 0.0%Jamie Carter: 0.3%Forbes: 0.1%Red Herring0.0%This article: 0.0%Jamie Carter: 0.7%Forbes: 0.7%Bandwagon0.0%This article: 11.0%Jamie Carter: 3.6%Forbes: 3.8%Appeal to Emotion11.0%This article: 3.9%Jamie Carter: 0.2%Forbes: 1.0%Begging the Question3.9%This article: 0.0%Jamie Carter: 0.9%Forbes: 2.8%Post Hoc (False Cause)0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.0%Tu Quoque0.0%This article: 3.2%Jamie Carter: 0.1%Forbes: 0.3%Burden of Proof3.2%This article: 0.0%Jamie Carter: 0.2%Forbes: 0.4%Appeal to Nature0.0%This article: 0.0%Jamie Carter: 0.2%Forbes: 0.3%Composition/Division0.0%This article: 0.0%Jamie Carter: 0.6%Forbes: 2.0%Anecdotal0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.1%No True Scotsman0.0%This article: 11.5%Jamie Carter: 2.6%Forbes: 1.8%Ambiguity (Equivocation)11.5%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.1%Middle Ground0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.0%Personal Incredulity0.0%This article: 0.0%Jamie Carter: 0.2%Forbes: 0.2%Special Pleading0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.1%Genetic Fallacy0.0%This article: 3.6%Jamie Carter: 0.7%Forbes: 1.1%Unattributed Quote3.6%This article: 0.0%Jamie Carter: 0.4%Forbes: 0.9%Quote-first Misdirection0.0%This article: 3.4%Jamie Carter: 6.8%Forbes: 4.6%Biased Writer Voice3.4%This article: 3.2%Jamie Carter: 2.8%Forbes: 2.5%Indoctrination3.2%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Jamie Carter: 0.0%Forbes: 0.2%Politically Right Leaning Bias0.0%This article: 5.7%Jamie Carter: 3.5%Forbes: 5.1%Attempt to Sell a Product or S…5.7%

557 words analyzed.

Speakers

2speakers35%attributed speech363writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageHainaut • 19 words • 0.0% coverageHainaut • 24 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageHainaut • 26 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageHainaut • 14 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageHainaut • 22 words • 0.0% coverageHainaut • 24 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageBetty Kioko • 27 words • 0.0% coverageBetty Kioko • 20 words • 100.0% coverageBetty Kioko • 18 words • 100.0% coverage
Selected voice

Betty Kioko

100%flagged-word coverage
65 attributed words34% of attributed speech91% writer coverage
0%17.5%35.0%Unattributed Quote+30.8 ptsWriter: 0.0%Betty Kioko: 30.8%30.8%Indoctrination+27.7 ptsWriter: 0.0%Betty Kioko: 27.7%27.7%Attempt to Sell a Product -8.8 ptsWriter: 8.8%Betty Kioko: 0.0%0.0%Biased Writer Voice-5.2 ptsWriter: 5.2%Betty Kioko: 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.