False Cause, Appeal to Complexity, and Courtier’s Reply Logical Fallacies
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False Cause, Appeal to Complexity, and Courtier’s Reply Logical Fallacies
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This week, I’m tackling Trump blaming Minnesota for the cyberattacks on their water system and be careful of which photos of world disasters you believe this week; Google, for one day, allowed people to generate satellite images with Google Earth with a click of a button. That didn’t last long before it was woefully abused.
And I’ll touch briefly on Anthropic’s Project Panama and the great book destruction crisis that’s been all over social media this week, but I am going to keep it light here. (ETA: I optimistically wrote that I’d keep it light before I inevitably dove deep into it below.)
Sunday through Monday, cyberattacks affects the water in more than 30 cities across Minnesota, causing the water to be shut off for a period of time while teams investigated and contained the attack.
Just a week earlier, federal agencies sent out warnings that Iranian hacking groups, such as CyberAv3ngers, were attempting to target internet-connected operational technology devices. (1)
“I blame it on Minnesota because they’re grossly incompetent,” Trump said at the Camp David presidential retreat in Maryland. “I would blame it on Minnesota and the governor, the corrupt governor of Minnesota. Iran’s got bigger problems than worrying about Minnesota.”
However, at least six other states have reported cyberattacks or attempts recently, including Wisconsin. (2)
Meanwhile, social media took to spreading their own theories as fact, citing as many sources as the President did.
The truth?
At this moment, there are no clear answers.
Intelligence agencies have assessed that Tehran was likely behind a coordinated attack on more than 30 municipal water systems in Minnesota.
Iran is a convenient scapegoat, with motive, and a pattern of behavior, since there were reports of Iran hacking into water and oil systems in the US back in April. And if we still believe our intelligence agencies, then there you go.
You can see the announcement including the update on Google’s site.
This isn’t exactly a fact check as much as a heads up.

On July 30, 2026, Google announced the ability to use their Nano Banana to generate “custom images using Google Earth’s satellite”.
Immediately, that went how you might expect.
NPR reported that Google pulled the feature the next day after people were reportedly using it to create “deepfake” style imagery of places around the world being bombed, presumably to post on social media in order to spread disinformation.


So as always, if you see inflammatory imagery of locations around the world being bombed, double check the source and that it’s not disinformation.
This story took off this week, but the actual story is at least five months old.
There was a flurry of information going around, and since AI is a very polarizing topic right now, people were getting loud about it, on both sides of the line, for and against generative AI.
Here are just the facts based on the court filings and the original Washington Post articles that uncovered them: (4)(5)(6)
From my research, I have seen no credible claims that Anthropic sought out specifically “rare” books outside of the books being older than 2022, but there is also no evidence that Anthropic was careful to not destroy books that have fewer copies in circulation. There is more evidence that points to Anthropic simply purchasing en masse, with less consideration of the effects, especially considering the fact that they had no problem pirating books illegally previously and that they didn’t want Project Panama to be known to the public.
Does that absolve them of criticism for what they’re doing? I don’t believe so.
I would like to point out here, since it’s my blog, how I saw the conversation transpiring on social media.
A lot of people were upset that AI and the books topic seemed to be so polarizing and that the anti-genAI people, in particular, were unwilling to “accept that there could be nuance”.
This is a bit of a false argument, if you zoom out a touch. The people in the anti-genAI camp understand that there are more details to this story than just that Anthropic is consuming and destroying old books to train its models on. And that’s the problem.
We have been inundated with news stories about AI data centers polluting minority and impoverished neighborhoods, AI hacking other companies, AI generating CSAM and Republicans inexplicably defending it, and the list of grievances goes on, and there is still no clear concerted effort to create regulations for AI.
So when the news broke about Project Panama’s “efforts to scan and destroy all the books in the world”, for a lot of us, it wasn’t that we only cared about the books, but it was more like, “and now the books, too??“
And the destruction was fueled by company greed and unnecessary.
So yeah, people who enjoy books are a little upset.
Just a note: I monitor social media for repeated and trending talking points from multiple sources, because it can be a sign of misinformation or disinformation.
The new talking point I’ve seen pop up includes comments like, “AI isn’t black and white. You’re ignoring that there’s nuance.” “I just have a nuanced take about AI.”
This is a logical fallacy, because it assumes that those who are against using generative AI don’t accept that AI can provide some good uses.
Nuance or lack thereof isn’t what’s at issue for those who are against generative AI.
You can be against the use of something, and still accept that there are potentially good things that can come from it.
But in the case of many people who are against generative AI, the copyright theft, the CSAM generating, the data centers polluting impoverished neighborhoods, the lack of regulations, the studies that show negative cognitive effects, etc. outweigh the fact that AI can help you finish your work faster.
So someone who is against AI can choose to be against it, even if it does good things, because they don’t think the benefits of use outweigh the costs.
That is not black and white thinking or ignoring nuance; it’s understanding that things that can create some good can also create more harm than they are worth, and some people choose to not participate in something that they believe creates that level of harm.
Maybe I’m going to do this more often, as a little side bar, because it comes up with every topic I dig into. In my research, I inevitably use Google, which inevitably spits out its Gemini AI summaries. I always scroll past, but sometimes what it shares is jaw dropping. Statements in this screenshot aside, look at the main sources listed. Do you see the glaring problem?

Instagram and Youtube should not be the primary sources listed for this topic. This story was covered in depth by reputable news sources who did the investigation into the court cases and what was going on. I list some of them in my own sources. Social media regurgitates what it finds, often just from skimming headlines and not actually reading the full articles.
The Times of India, by the way, is not a reputable source. It’s one of the RSS news aggregator sites that is commonly used by disinfo campaigns to spread their false information. Do not trust that site as a source
I don’t know how I can scream any louder about how basic use of LLMs is so dangerous when it comes to spreading misinformation, but I’ll keep sharing the examples I come across in the meantime.
Thanks for reading. I do my best to verify all the information, but if I got anything wrong, let me know. I write weekly fact checks as well as other articles on misinformation and disinformation happening on social media and beyond, so if that’s your thing, please subscribe. If you find my work valuable, please consider a paid subscription to help support my work.
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