The Normal Person’s Guide to Spotting Tech Nonsense

The Quick Answer

Spotting tech nonsense requires moving past your “gut feeling” and looking for objective glitches. Whether it is an AI-generated image with six fingers or a viral headline that relies on “truthiness” (feeling true without being true), the secret is lateral reading: stop looking at the thing itself and start looking at what other reputable sources say about it. Use tools like reverse image searches and fact-checking sites to verify claims before your brain decides to believe them.

The Normal-Person Version

We are currently drowning in what experts call an “infodemic”—an excessive amount of information that makes finding the truth feel like trying to find a specific grain of sand in a desert storm. It isn’t just about “fake news” anymore. We are dealing with a cocktail of misinformation (accidental errors) and disinformation (deliberate lies designed to manipulate you).

The tech world has blurred the lines so effectively that even “AI-savvy” adults can only spot AI-generated images about 50% of the time. That is a coin flip. To survive this, you have to stop being a passive consumer and start being a “human bullshit detector.” This does not require a PhD in computer science; it just requires a healthy dose of skepticism and a few tactical habits.

Why This Matters

This isn’t just about avoiding an embarrassing retweet. Media literacy has become a “life and death matter.” During the COVID-19 pandemic, doctors reported that false information online directly influenced how people treated the disease, sometimes with fatal results. Beyond health, tech nonsense affects your bank account (scams), your vote (political propaganda), and your general sanity. If you cannot tell what is real, you cannot make informed decisions.

What People Get Wrong

The biggest misconception is the belief that “I’ll know it when I see it.” We think our eyes are reliable, but AI is getting very good at exploiting our biases. People also often confuse truthiness with truth. Truthiness is that warm, fuzzy feeling you get when a piece of news confirms what you already believe. Just because a headline makes you feel vindicated doesn’t mean it happened.

The Hype Check

Big Tech platforms like Google, YouTube, and Facebook often claim they are “controlling the spread” of nonsense with advanced algorithms. While they are taking technical steps, the reality is that these systems are reactive, not proactive. They are playing a permanent game of whack-a-mole. You cannot outsource your critical thinking to a Silicon Valley algorithm; it is still your job to verify the content on your screen.

What to Do Now

Check the Anatomy: When looking at a suspicious image, zoom in on the hands, arms, and eyes. AI still struggles with human geometry. Look for extra fingers, limbs that grow out of nowhere, or unnaturally symmetrical faces.
Hunt for Inconsistencies: AI often fails at “background logic.” Look for nonsensical text on signs, shadows that point the wrong way, or historical errors (like the Titanic having the wrong number of masts).
Practice Lateral Reading: If a story looks wild, open a new tab. See if FactCheck.org or the Poynter Institute has covered it. If only one obscure website is reporting a massive event, it probably didn’t happen.
Use Reverse Image Search: Use tools like Google Lens to see where an image actually came from. Often, a “breaking news” photo is actually a five-year-old picture from a different country.
Check the Source: Use tools like NewsGuard, which uses human analysts to rate the reliability of news sites with a simple green or red signal.

Short FAQ

What is the difference between misinformation and disinformation?

Misinformation is false information shared regardless of intent (like a mistake). Disinformation is false information created and spread deliberately to deceive or influence public opinion.

How can I tell if a photo is AI-generated?

Look for “visual anomalies”: blurred textures, nonsensical text, distorted limbs, or lighting that doesn’t match the environment. AI often makes nature look “too perfect” or vibrant.