My deadlift PR is 285 pounds. I do not say that to brag — there are women in my gym pulling double that and they are not writing blog posts about it. I say it because in the year I went from a 165-pound pull to a 285-pound pull, the quality of my marketing work, by every reasonable measure, doubled. That is not a coincidence. That is a thesis, and I will defend it.
The take, stated plainly: most operators staring at a dashboard hoping for a decision are not lacking data. They are lacking the physical and cognitive baseline required to make the decision the data is already telling them to make. The fastest way to fix that baseline is not another tool. It is a barbell and a sleep schedule.
§ 01 — What dashboards are actually for
I love a dashboard. I have built them. I have argued in rooms for the discipline of building them. Looker, Mode, Tableau, the proprietary internal tooling of three different employers — I have lived inside these tools, and I will defend them as essential.
But here is the heresy nobody in the modern data-team org chart will say out loud: a dashboard does not produce a decision. A dashboard produces an artifact. The decision still has to happen inside a human brain, and that brain is — almost without exception — sleep-deprived, under-nourished, sedentary, anxious, and running on its fourth coffee of the day. The dashboard could be perfect. The decision will still be bad.
Most of the “we need better data” conversations I have been in over the last decade were not actually about data. They were about the team’s inability to act on the data they already had. The data said cut the SKU. The team kept the SKU. The data said the campaign wasn’t working. The team kept funding the campaign. The data said the customer didn’t want this. The team launched it anyway. The pattern is not “we needed a better number.” The pattern is “we had the number and could not bring ourselves to act on it.”
Acting on a number — especially one that contradicts a previously-held belief — requires cognitive flexibility, emotional regulation, and the willingness to be wrong in public. None of those are produced by another BI tool. All of them are downstream of how the brain is actually functioning that week. The brain is a body. The body has been ignored.
§ 02 — The actual biological argument
I am not the first person to write this and I will not be the last. The pattern shows up everywhere once you start looking for it. Peter Attia has built an entire medical practice around the thesis that strength, VO2 max, and metabolic health are the dominant variables in late-life cognitive function — and his client list is full of operators who decided their own brain was worth the time block. Tim Ferriss has spent two decades documenting elite performers and the resistance training shows up in nearly every long-form interview. The CEOs writing the loudest essays about company culture right now — the Bezos jiu-jitsu era, Mark Zuckerberg’s MMA phase, Marc Andreessen’s lifting transformation — are not coincidentally also the ones whose decision quality has noticeably sharpened in the same window. Andrew Huberman’s lab work and accessible podcast versions of it have spent the last several years explaining, in extraordinary detail, how resistance training, sleep, and morning light exposure shape every cognitive metric we care about: working memory, decision speed, mood stability, capacity for sustained focus, resilience under stress.
The summary of dozens of studies, simplified for an audience that mostly wants to know what to do: two-to-four resistance-training sessions a week, seven-to-nine hours of sleep, ten-to-twenty minutes of morning sunlight, real meals with adequate protein, and — if you can manage it — some zone-two cardio for the cardiovascular system. None of this is news. None of it is fringe. It is, at this point, mainstream peer-reviewed consensus.
The reason it is treated as fringe inside operator culture is that operator culture has trained itself to view physical care as a hobby or, worse, a luxury. The grind narrative — pull all-nighters, ship the launch, sleep when you’re dead — has been the dominant operator culture for two generations. It is also empirically catastrophic for the quality of work it produces. The people doing it are slower, dumber, more reactive, and more conflict-prone than the people who got out of bed at 6 AM, lifted heavy things for forty-five minutes, and showed up to standup hydrated.
The data is not subtle. It is just inconvenient, because acting on it requires admitting that the work-as-religion lifestyle most of us built our identities on is, in addition to being unsustainable, actually worse for the work.
§ 03 — The personal receipt
I will share my own version. I started lifting seriously about two years ago. Before that, I was a 9-to-9 cardio-machine-and-occasional-yoga marketer who treated physical care as something to do if there was time. There was rarely time.
The first thing that changed when I started lifting was not the muscle. It was the sleep. Within three weeks, I was sleeping deeper and waking up before the alarm. The second thing that changed was the mood. I stopped reaching for sugar at 3 PM. I stopped feeling like a meeting that could have been an email was a personal attack. I stopped, frankly, being annoying to work with.
The third thing — and this is the one that got my attention — was the quality of my analytical work. The marketing decisions I had been agonizing over for weeks became obvious. The dashboard had not changed. The data had not changed. My ability to look at the data, hold the trade-offs in my head simultaneously, and act on them had changed. It was, in a way that I find slightly embarrassing to admit, the cheapest cognitive upgrade I have ever bought.
Two hundred and eighty-five pounds is not a heavy deadlift in the absolute sense. It is approximately twice my bodyweight, which is the rough threshold where the strength-training literature suggests the metabolic and neurological benefits start to compound. I am there now. The work is better. I will not be quietly grateful about this; I will be loud about it, because there are too many marketers I respect spiraling into burnout while telling themselves they don’t have time for the gym.
§ 04 — The objections
The objections are predictable and I will dispatch them quickly.
“I don’t have time.” You have three hours a week. You spent more than that this month on a Slack thread that did not need you in it. You spent more than that scrolling through the apps that are eating your sleep schedule. Time is not the constraint. Priority is.
“I’m not a gym person.” Neither was I. The first month is uncomfortable. The second month is fine. By month three, you will be annoyed that nobody told you sooner.
“This isn’t about marketing.” It is, and the disagreement is exactly the problem. The artificial separation between professional output and physical baseline is the lie operator culture is built on. They are the same system. You cannot optimize the output while ignoring the input.
“I tried it and it didn’t work.” You did it for six weeks. The cognitive returns compound on a 6-to-12-month horizon. You quit before the curve. Try again, and this time stay.
§ 05 — The take
If you are an operator and your dashboards are sharp and your decisions are still bad, the dashboards are not the problem. The brain interpreting them is the problem, and the brain is a body that has been neglected. The Looker license is not what you are missing. The 6 AM appointment with a barbell is.
I will be unrepentant about this. The most undervalued investment in your professional life is two-to-four hours a week of lifting heavy objects and putting them back down. The ROI is measured not in fitness metrics — although those will also improve — but in the quality of the decisions you make in every other hour of your week. It compounds. It compounds for years. It compounds in a way no dashboard ever will.
The best Looker dashboard in the world cannot fix a sleep-deprived brain trying to make a decision it has been postponing for six weeks. A 6 AM gym session, four times a week, can. Pick which intervention you can actually run, and then run it. The dashboards will still be there when you get back. They will, finally, be useful.
I’ll be at the rack. Bring your laptop if you want to talk about Q3. I’ll answer between sets.