Somewhere between 6:00 and 6:05 most mornings, a familiar routine plays out for a certain kind of person: check the Oura ring, see last night’s sleep score. Check the phone, see how the portfolio closed yesterday. Neither number has really told you anything new about your health or your wealth. The portfolio in particular was never built to be judged one day at a time; it was built to compound over years, often across generations, and a single close tells you almost nothing about whether that’s happening.
That’s the question worth sitting with: at what point does more data stop helping you make better decisions, and start actively working against you?
Start with money; the research here is well established. I was lucky enough to study these concepts firsthand in 2019, in UCLA’s behavioral decision-making lab, where “the” Shlomo Benartzi teaches. Benartzi and Richard Thaler are the ones who coined the term “myopic loss aversion” to describe a simple, uncomfortable pattern: the more frequently people check their investments, the worse their investment decisions tend to get. Not because the information is wrong, but because of how it’s sampled. There’s a physical reason it stings the way it does, too. Researchers at UCL found that losing money activates the same brain regions involved in fear and physical pain, the same circuitry that once existed to keep us away from real, physical threats. A down day doesn’t just register as bad news. It registers, in some literal sense, as pain.
Markets, like most slow-moving systems, are somewhat noisy in the short run and directional in the long run. On any given day, the odds of your portfolio being down are close to a coin flip, even in a market that will be meaningfully higher a year from now. Check daily, and you are mostly looking at noise. Check that noise often enough, and you start reacting to it: selling into dips, chasing rallies, questioning your own risk tolerance, abandoning a plan that was working fine before you started watching it so closely. My dad, CEO & Founder, John Chapman, has a saying around the office that goes, “Checking your portfolio throughout the day is like being on a diet and getting on the scale every hour.”
The tool isn’t lying to you. It’s just answering a question, “what happened in the last 24 hours,” that was never the right question for a portfolio built to compound over years.
Sleep tracking runs into the same mismatch, but the failure mode looks different. Individual nights are genuinely noisy, sleep researchers have found it takes roughly ten nights of data just to get a reliable picture of someone’s overall sleep quality, and one large study covering millions of nights found that while your typical sleep duration can be estimated in as few as three to seven nights, actually measuring your real night-to-night variability takes six to ten weeks of continuous data. In other words, a single night’s number is a poor read on anything, but a device like Oura or Fitbit hands you one every morning anyway, and your brain treats that number as a verdict.
There’s an actual clinical term for what happens next: orthosomnia, obsessive anxiety about sleep quality, caused by the very tracking meant to improve it. The irony is exact. The tool exists to help you sleep better; for a meaningful number of people, it becomes the reason they can’t. A low score on a night that felt fine still produces the stress response of a bad night.
And once the number is in front of you, the mind doesn’t just accept it; it goes looking for evidence to back it up. A low score turns into “ugh, I knew I felt off,” even if you woke up feeling perfectly fine five minutes earlier. A person will scan backward through the previous day for anything that could explain the number: the late coffee, the extra glass of wine, the stressful email, and build a small story around a data point that may have meant nothing at all. The tracker didn’t just fail to inform; it handed the mind a verdict, and the mind went and built a case to match it.
Sound like you? Start a conversation with James about what real peace of mind could look like.
Line these up next to each other, and the shared root becomes obvious. In both cases, a slow-moving variable is being sampled at a fast frequency, and the noise generated by that mismatch gets mistaken for signal. The financial version of this mistake shows up as bad decisions: selling low, chasing performance. The sleep version shows up as bad feelings: anxiety that wasn’t earned by anything that actually happened, or could have affected the outcome either way, and then reinforced after the fact by a mind determined to explain it.
Your nervous system isn’t built to tell the difference between noise and signal. A red arrow is a red arrow, whether it’s attached to something that matters or not.
This isn’t a new problem, either. Long before phones and wearables, there was ticker tape. Historical research on 19th-century exchanges has found that the ticker didn’t actually make markets more efficient; it made investors actually chase the momentum of whatever price change they’d just watched scroll by, often to their own detriment. While the technology changes, the human tendency to over-sample a slow-moving number just because it’s suddenly possible does not.
We tell our business owner clients this often, because many of them don’t think about the fact that their own business is likely a far riskier asset than anything sitting in their portfolio, and yet they simply don’t have the mechanism to check its value daily the way they check their public holdings. Good operators don’t watch live revenue tick up and down all day; they’d never make a sound decision that way. Instead, someone, often a controller or a CFO, is watching the numbers weekly, quarterly, whichever the figure actually calls for, so the owner can operate on the timescale that matters: the year, the five-year plan, the exit. The daily noise still gets watched. It just isn’t watched by the person whose job is to think long-term.
That division of labor is arguably one of the most underrated pieces of good management, and it maps directly onto personal finance and personal health. The skill isn’t tracking less. It’s knowing which numbers deserve daily attention and which ones only make sense in aggregate, and ideally, having that distinction handled by someone else, so you’re free to make decisions on the timeline that actually matters.
Here’s the thing worth sitting with: the goal was never to feel good about a portfolio number on any given day. It’s to know, underneath all of it, that there’s a plan that holds up regardless of what that number does. Your business and its cash flow. Your expenses and how they’re funded. Your tax strategy. Your estate plan. How wealth actually transfers to the people you intend it for. A portfolio is one piece of a much larger picture, and fixating on it in isolation, daily, is a little like judging your health by only ever checking your pulse.
This is what real wealth management is supposed to do: hold all of those pieces together so a single day in the market, or a single rough night of sleep, doesn’t have to mean anything on its own. At Clearwater, that’s the role we actually play for clients, not predicting the next down day, nobody can, but guiding them through the long picture: the business, the taxes, the estate, the transfer of wealth to the next generation, all of it moving in the same direction, so a client can go to bed at night knowing the whole plan is accounted for, not just the number that happened to close that afternoon.
More data isn’t the enemy. Data sampled at the wrong frequency, and without the bigger picture around it, is.
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John E. Chapman Chief Executive Officer