Always trust your numbers. Never trust your gut. … Daniel Kahneman, Nobel Laureate in Economics
Last updated: April 2026
Nobel laureate Daniel Kahneman told us that experts tend to be overconfident and make predictions without enough information. They are also inconsistent decision-makers. His prescription: trust your numbers over your instincts.
Good advice. But there is a catch.
You can only trust your numbers if you know they are credible. High quality, correctly interpreted data helps you avoid the traps of overconfidence and inconsistency. Poor quality data leads you confidently in the wrong direction. Garbage in, garbage out. That principle is as true in 2026 as it was when programmers first coined it.
Knowing your data is credible is the first step. Knowing which decisions to make with it is the next. Here is a framework for doing exactly that.
What Makes a Number Worth Trusting?
Credibility has two parts: the quality of your data and the quality of your assumptions about which data points matter.
With the right inputs and the wrong assumptions, you will reach the wrong conclusions. With the wrong inputs and the right assumptions, same result. Both have to be right.
Here is what that looks like in practice for a website owner relying on GA4.
Your GA4 Data Is Only as Good as Your Setup
Google Analytics 4 is the measurement standard for website performance. When it is set up correctly, it tells you exactly where your visitors come from, what they do on your site, and whether they convert. When it is set up incorrectly, it tells you a story that feels plausible but is quietly wrong.
Common GA4 credibility problems include:
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Missing or misconfigured conversion events — if your form submissions or phone clicks are not tracked as conversions, your data tells you nothing meaningful about business outcomes
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Unfiltered internal traffic — if your own team’s visits are mixed into your data, your engagement metrics are inflated and unreliable
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Channel grouping errors — traffic showing up as “direct” when it came from a campaign means your attribution is broken and you cannot trust your marketing ROI analysis
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Cross-domain tracking gaps — if you operate more than one domain, sessions may be fragmented and visitor journeys incomplete
Before you make any significant decision based on your website analytics, audit your GA4 setup. Confirm the data you are relying on reflects what is actually happening, not what the default configuration happens to capture.
The New Numbers That Matter: AI Visibility
Here is a number most website owners are not yet measuring: how often does your website get cited or recommended by AI systems?
Google’s AI Overviews now appear at the top of results for millions of queries. ChatGPT, Perplexity, and Gemini are answering business questions and recommending vendors daily. Being present in those results is increasingly where new client relationships begin.
The signals that drive AI visibility are measurable. Google Search Console shows you which queries trigger your pages. Content coverage gaps are auditable. Schema markup completeness is verifiable. E-E-A-T signals, the Experience, Expertise, Authoritativeness, and Trustworthiness factors that AI systems use to select sources, can be assessed and strengthened.
If you are not measuring your AI visibility alongside your traditional SEO metrics, you have a blind spot in your numbers.
The Bottom Line
Kahneman was right. Trust your numbers. But earning that trust requires knowing your data is clean, your tracking is correctly configured, and you are measuring the things that actually drive your outcomes today, including the new ones.
At Principal Consulting, we audit, configure, and interpret the numbers that matter for your website and your business. If you are not confident in your data, let’s talk.