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Your Gut Is Smarter Than the Algorithm

Why instinct and lived experience still beat machine-driven “recommendations”

Every day, algorithms decide what we read, watch, and think about. Social feeds are ranked, news is curated, and even the ads we see are targeted based on thousands of data points about our behavior. According to a 2023 Pew Research Center survey, 53% of U.S. adults now say they “often” or “sometimes” get their news from social media, meaning algorithms, not editors or personal choice, are the first gatekeepers of information.

But here’s the problem: algorithms are optimized for engagement, not truth. A 2018 MIT study found false news spreads on Twitter six times faster than true news, largely because sensational or emotionally charged content gets more clicks. That’s not a programming glitch, that’s the design.

The idea that we should “trust our gut” isn’t just a self-help cliché. It’s supported by decades of research in psychology and neuroscience. Psychologist Gary Klein, in his book Sources of Power, studied firefighters, nurses, and military commanders forced to make high-stakes decisions with incomplete data. He found that seasoned experts often make correct calls in seconds by recognizing subtle patterns from experience, something no spreadsheet or trending topic can replicate.

Similarly, neuroscientist Antonio Damasio demonstrated through brain imaging that emotions are critical to decision-making. In one famous case study, a patient who lost the ability to feel emotion after brain damage became unable to make simple choices, like what to eat for lunch, despite having perfect reasoning skills. The “gut feeling” is your brain’s pattern recognition at work.

Algorithms excel at spotting correlations in massive data sets, but they can’t understand context. That’s why Wall Street traders still talk about “market feel,” why veteran journalists can spot a fake quote, and why a seasoned scout might pass on an athlete whose stats look good but whose body language tells another story.

Consider Chesley “Sully” Sullenberger, the pilot who landed US Airways Flight 1549 in the Hudson River in 2009. The plane’s onboard computer recommended turning back to LaGuardia after losing both engines — but Sully’s experience told him they wouldn’t make it. His gut was backed by decades of flight hours, and it saved 155 lives.

Relying solely on algorithms can erode critical thinking. A 2020 study published in Nature Human Behaviour found that people given algorithmic advice tended to over-trust it, even when it was wrong. This “automation bias” makes us more likely to ignore our own better judgment if it conflicts with the machine.

In practical terms, that means we’re at risk of letting recommendation systems pick our beliefs, our politics, even our friendships. The 2016 Facebook “filter bubble” controversy revealed how the platform’s news feed algorithm could amplify partisan echo chambers — not because it was “biased” in the traditional sense, but because outrage and agreement are both great for engagement metrics.

If you’ve been living in a feed-driven world, re-tuning your intuition takes deliberate effort. Here are a few practices backed by experts:

1. Seek unfiltered inputs.
Read full articles instead of headlines, talk to people outside your bubble, and dig into primary sources. Former New York Times editor Jill Abramson recommends “reading the thing itself” whether that’s a bill, a speech transcript, or a full study.

2. Practice “gut checks” in low-risk settings.
Gary Klein’s research suggests training intuition by making small, quick decisions, then reviewing outcomes. Try it with stock picks, game predictions, or cooking without a recipe.

3. Learn the signals your body sends.
Psychologist Gerd Gigerenzer calls this “embodied cognition” your physical reactions (a tightening in your chest, a sense of ease) are part of your decision system. Notice them.

4. Limit algorithmic influence intentionally.
Turn off “personalized” recommendations where possible. YouTube, Spotify, and Instagram all have settings to reduce algorithmic feed curation.

Ed Viesturs, the American mountaineer who summited all 14 of the world’s 8,000-meter peaks without supplemental oxygen, famously turned back within a few hundred feet of Everest’s summit in 1992 because the weather “felt wrong.” Other climbers pressed on and didn’t survive.

Serena Williams, in her memoir On the Line, writes about choosing to pull out of tournaments when something “felt off” physically, even when data and trainers said she could push through. The choice preserved her longevity in the sport.

Anthony Bourdain often traveled without a set itinerary, relying on locals and his own instincts to find the best meals. His CNN series Parts Unknown was built on rejecting scripted recommendations and trusting curiosity.

The point isn’t to ignore technology, algorithms can surface valuable information. The danger comes when we treat them as authorities rather than tools. A 2021 Harvard Business Review analysis of AI in decision-making found the best outcomes came from “centaur teams” humans and algorithms working together, each correcting the other’s blind spots.

Your gut isn’t magical, but it’s the sum of everything you’ve learned, experienced, and survived. Algorithms can’t replicate that, and they don’t care about your personal goals only about keeping you engaged.

If you’ve been feeling overwhelmed, distracted, or manipulated by your feed, take a week to deliberately choose your own inputs. Turn off push notifications, read from diverse sources, and make at least one decision every day based on your own judgment rather than a trending list.

You’ll be surprised how quickly your instincts sharpen, and how freeing it feels to live without waiting for the next recommendation to tell you what’s worth your time.