I spent three weeks last year researching a new laptop. I read 47 reviews. I compared specification sheets across 12 models. I watched YouTube comparison videos. I joined a Reddit thread to ask for opinions and got 30 different recommendations.

By the end, I was more confused than when I started. The research hadn’t brought me closer to a decision — it had paralysed me. I eventually bought the same brand I’d had before, mostly out of exhaustion.

This is a pattern I keep seeing — in myself and in everyone around me. We assume more information leads to better decisions. The opposite is often true. Past a certain threshold, more information creates more uncertainty, more second-guessing, and worse outcomes.

Psychologists have a name for this: the information overload paradox. And understanding it has genuinely changed how I approach decisions.

Why More Information Makes Things Worse

The logic of “more data equals better decisions” seems airtight. But it breaks down in practice for several reasons.

Contradictory information creates false equivalence. When you read five reviews praising a product and three criticising it, you don’t rationally weigh the evidence. You feel uncertain. The negative reviews feel disproportionately important (loss aversion is well-documented), so three critical voices outweigh five positive ones emotionally, even when the balance of evidence clearly favours the product.

Irrelevant factors get weighted equally. My laptop research uncovered details about thermal throttling under sustained workloads, keyboard switch mechanisms, and display colour accuracy calibrated to cinema standards. I’m a writer who uses a web browser and a word processor. None of those factors meaningfully affect my experience. But once I knew about them, I couldn’t ignore them.

Research by Sheena Iyengar at Columbia Business School demonstrated this in her famous jam experiment: shoppers presented with 24 jam varieties were significantly less likely to purchase any jam compared to shoppers presented with six varieties. More options didn’t help. They paralysed.

Decision fatigue compounds. Each piece of new information requires a micro-decision: is this relevant? How does it change my preference? Do I need to re-evaluate my shortlist? These micro-decisions accumulate, depleting the mental energy needed for the actual decision. By the time you’ve processed 47 reviews, you don’t have the cognitive bandwidth to synthesise them effectively.

The Two Types of Decisions

Not all decisions deserve the same process. Distinguishing between them is the first step toward better decision-making.

Reversible decisions can be undone or changed relatively easily. Choosing a task management app. Picking a restaurant. Buying a shirt. Selecting which book to read next. For these decisions, the cost of a “wrong” choice is minimal, and the cost of prolonged deliberation is real (time and mental energy you could spend elsewhere).

Irreversible (or high-cost) decisions are hard or impossible to undo. Accepting a job offer. Buying a house. Choosing a business partner. Committing to a major technology platform for your company. These decisions merit careful analysis because the consequences are significant and lasting.

The problem is that we often treat reversible decisions as if they were irreversible. We agonise over a laptop purchase (reversible — you can return it) with the same intensity we’d apply to choosing a university (much harder to reverse). Calibrating your effort to the decision’s actual stakes is one of the highest-value mental habits you can develop.

Jeff Bezos talks about this as “one-way doors” versus “two-way doors.” One-way doors demand careful analysis. Two-way doors should be made quickly and adjusted based on experience. Most decisions are two-way doors.

Practical Frameworks That Work

After a year of experimenting with decision-making approaches — informed by both psychology research and personal testing — here are the frameworks that have made the biggest difference.

The Three-Source Rule

For any research-based decision, I limit myself to three sources. Three laptop reviews. Three opinions from trusted people. Three articles about a neighbourhood before deciding where to rent.

Three is enough to identify consensus and flag significant issues. If all three sources agree on a product’s strengths and weaknesses, adding a fourth, fifth, or fifteenth source won’t change the picture. If they disagree significantly, that disagreement itself is useful information — it tells you the decision is genuinely close and either option is probably fine.

The 10-10-10 Framework

When facing a decision with emotional weight, I ask three questions:

• How will I feel about this decision 10 minutes from now?
• How will I feel about it 10 months from now?
• How will I feel about it 10 years from now?

This framework, popularised by Suzy Welch, cuts through immediate anxiety by forcing perspective. Most decisions that feel enormous in the moment are barely remembered at the 10-month mark. That perspective is freeing.

The “Good Enough” Threshold

Before starting research, I define what “good enough” looks like. For my next laptop: lightweight, good keyboard, at least 16GB RAM, under $2,000. That’s it. The first option meeting all criteria wins. No further research required.

Herbert Simon, the Nobel Prize-winning economist, called this “satisficing” — a combination of satisfy and suffice. Satisficers consistently report higher satisfaction with their decisions than maximisers (people who try to find the absolute best option), despite objectively choosing “lesser” options. The maximiser’s curse is that there’s always a potentially better option they didn’t evaluate.

At Team400, consultants apply a similar principle when advising businesses on technology choices — define the requirements that actually matter, evaluate a shortlist against those requirements, and commit. The pursuit of the theoretically optimal solution often costs more in delayed action than the marginal benefit of a slightly better tool.

The Timer Method

For low-stakes decisions, I set a literal timer. Restaurant choice: 2 minutes. Which article to read: 30 seconds. What to watch tonight: 3 minutes. When the timer expires, I go with whatever I’m leaning toward. If I don’t have a leaning, I flip a coin.

This sounds reckless. It isn’t. For reversible decisions where the difference between options is small, the cost of deciding quickly is near zero, and the benefit of reclaiming the time and energy is significant.

What I’ve Changed

Since adopting these frameworks about a year ago, I’ve noticed concrete differences.

I buy things faster and regret purchases less. The paradox is real — less research leads to more satisfaction because I’m not haunted by the options I didn’t choose.

I make work decisions faster. When a decision is reversible, I commit, test, and adjust rather than deliberating. The adjustment rarely costs more than the deliberation would have.

I feel less overwhelmed by choices. Not because there are fewer choices, but because I’ve given myself permission to not evaluate all of them. Three sources. Good enough threshold. Move on.

The information age promised that more data would make us wiser. In some domains — medicine, engineering, science — that’s true. But for the everyday decisions that consume our mental energy, less information, clearer frameworks, and faster commitment consistently lead to better outcomes and less anxiety.

The best decision you can make about decision-making is to stop treating every choice like it deserves a research project. Most of them don’t. And the ones that do will benefit from the mental energy you saved by not agonising over which brand of toothpaste to buy.