Deming's Quality Control for the Mind

An audio transcript exploring how W. Edwards Deming's quality control framework applies to athlete mental readiness.

By Scott K. Wilder · Mental Toughness and Readiness

Speaker 1: [00:00:00] I want you to picture two, like, very distinct scenes for me. Okay? In the first one, you have this 90 year old manufacturing quality control guru from the 1990s, you know, slowly shuffling to the front of a university classroom.

Speaker 2: [00:00:16] Right. A very specific image.

Speaker 1: [00:00:17] Exactly. And in the second scene, you have a 17 year old shortstop blowing a totally routine ground ball in the bottom of the sixth inning of like, a really crucial playoff game.

Speaker 2: [00:00:28] Two things that seem completely unrelated.

Speaker 1: [00:00:30] Completely on the surface, they exist in entirely different universes. But we're looking at a framework today that suggests the key to fixing that teenager's athletic performance lies entirely within the theories of that 90 year old statistician.

Speaker 2: [00:00:45] It is a really striking contrast, but I mean, the underlying connection here fundamentally challenges how we think about human performance and not just on the field, but, you know, in the office, too.

Speaker 1: [00:00:54] Yeah, totally. So welcome to today's deep dive. We are on a mission to explore how we can systematically measure and improve our mental readiness under pressure.

Speaker 2: [00:01:03] Which is something we usually just guess at. Right? Right.

Speaker 1: [00:01:07] For decades, we've relied on these vague gut feelings to gauge if someone is ready to perform. But today, we're looking at how we might move away from that that intuition and toward hard, actionable data. Yeah. And to guide us, we're unpacking a really fascinating article by Scott Wilder. He's the founder of game Ready mindset. And his piece is titled what W Edwards Deming would Say about Mental Readiness.

Speaker 2: [00:01:31] So just for some context for you listening, W Edwards Deming is essentially well, he's the architect of modern quality management. Right after World War Two, he famously went to Japan and helped rebuild their manufacturing sector. He introduced these principles that eventually birthed the Toyota production system.

Speaker 1: [00:01:48] Oh, wow.

Speaker 2: [00:01:49] Okay. Yeah. He fundamentally shifted how the whole world thinks about process variation and basically just reducing defects on assembly lines.

Speaker 1: [00:01:56] Okay, let's unpack this, because the core premise of Wilder's article is asking us to apply like literal assembly line logic to the human mind, which is wild because over the last 30 years, sports have become completely obsessed with physical metrics. We track exit velocities, launch angles, sprint speeds down to the millimeter.

Speaker 2: [00:02:16] Everything is quantified.

Speaker 1: [00:02:17] Everything but the mental game. Things like focus or composure, or even just the ability to reset after a mistake that's been largely untouched by structured data.

Speaker 2: [00:02:28] And Wilder is attempting to bridge that exact gap with a methodology he actually calls mental ball mental ball.

Speaker 1: [00:02:35] I love that.

Speaker 2: [00:02:35] It's catchy, and it operates on a radically simple quote from Deming himself, which is In God We Trust all others bring data.

Speaker 1: [00:02:43] Man. That quote cuts right to the chase. And Wilder's connection to Deming isn't just, you know, academic. He actually sat in his classroom at NYU. Yes. The narrative origin of this whole framework takes us back to the 1990s. Wilder sitting in two full statistics courses at NYU. Stern, taught by Deming in person.

Speaker 2: [00:03:01] Two full semesters, and Deming was what, well into his 90s at this point.

Speaker 1: [00:03:04] Yeah, he was. And the source material paints this really vivid picture. Wilder describes how Deming's physical body was, you know, undeniably failing. Right. He would slowly shuffle to the front of the room. He'd occasionally bump into the wall. At one point, he actually accidentally triggered the projector screen to pull down on himself.

Speaker 2: [00:03:23] Oh, man.

Speaker 1: [00:03:24] Yeah, and the whole class just held their breath. But Deming simply collected himself, pushed the screen back up, and just kept teaching as if nothing had happened.

Speaker 2: [00:03:34] See, the crucial observation Weiler makes there is that while Deming's physical form was deteriorating, his cognitive processing was completely untouched.

Speaker 1: [00:03:43] Sharp as a tack.

Speaker 2: [00:03:44] Exactly. He was sharply dissecting standard deviation process control and like the intricate mathematics of system variation.

Speaker 1: [00:03:52] And Wilder mentions Steve Jobs 2005 Stanford commencement address that idea. You can only connect the dots of your life looking backward, right?

Speaker 2: [00:04:00] You can't see the big picture in the moment.

Speaker 1: [00:04:02] Exactly. And Wilder is doing exactly that now. He is taking Deming's rigid, data driven manufacturing frameworks, the exact same ones that revolutionized the global auto industry and applying them to the incredibly unpredictable world of athletic psychology.

Speaker 2: [00:04:20] But to understand how he does that, we really have to look at one of Deming's most controversial beliefs. Deming argued that 94% of failures are system failures, not individual worker failures.

Speaker 1: [00:04:32] All right, 94%.

Speaker 2: [00:04:33] 94% in a manufacturing context. I mean, that means if a car door doesn't shut, right? You don't blame the guy on the assembly line holding the wrench.

Speaker 3: [00:04:41] Oh, interesting.

Speaker 2: [00:04:41] Right? You blame the workflow, the tooling, or the environment that basically set him up to fail.

Speaker 1: [00:04:46] Okay. To bring this into a more modern context, it makes me think about how we interact with our technology today.

Speaker 4: [00:04:52] How so?

Speaker 1: [00:04:53] Well, like when your smartphone crashes, right? As you're trying to send an important email, you don't blame the specific email app you just opened for being, I don't know, lazy or choking under pressure.

Speaker 2: [00:05:03] Right. You don't judge the app's character.

Speaker 1: [00:05:05] Exactly. You blame the operating system. You assume it failed to manage the device's memory properly, or it let too many background applications run at once.

Speaker 2: [00:05:13] That's a great way to look at it.

Speaker 1: [00:05:15] So Wilder seems to be saying that an athlete making a critical error is essentially an app crashing, because their mental operating system wasn't structured to handle the cognitive load.

Speaker 2: [00:05:26] And that analogy maps perfectly onto the cognitive science of performance. Those background applications draining your phone's battery. They're the equivalent of human anxiety or external distractions, or even lingering frustration from a previous mistake.

Speaker 1: [00:05:41] Just running in the background, eating up processing power.

Speaker 2: [00:05:44] Yes, they take up active space in your working memory. If your internal operating system, like your mental routine, isn't actively closing those background apps, your working memory becomes bottlenecked. Wow. So when the main application needs to run, say, fielding a baseball, the system freezes.

Speaker 1: [00:06:02] This shift in perspective feels so vital because it completely removes the moral judgment from an athlete choking.

Speaker 2: [00:06:07] It really does.

Speaker 1: [00:06:08] I mean, we have an entire sports media ecosystem built on judging character based on performance. We say things like, oh, he doesn't have the clutch gene, or she just can't handle the spotlight.

Speaker 2: [00:06:20] Yeah, we constantly moralize failure under pressure. But if we accept Deming's premise that 94% of failures are system failures, then the athlete who falls apart in the final minutes isn't fundamentally flawed, right? The absence of a structured mental performance system is the flaw. Wilder's framework treats choking not as a fixed character deficit, but as a solvable upstream input problem.

Speaker 1: [00:06:45] So if you optimize the system's inputs, you change the outputs.

Speaker 4: [00:06:48] Exactly.

Speaker 1: [00:06:48] But looking at how modern sports evaluate talent right now, it seems entirely focused on the outputs. We we really have to talk about Moneyball here.

Speaker 2: [00:06:57] Oh, definitely.

Speaker 1: [00:06:57] Because while Michael Lewis's book and the Oakland A's completely Revolutionized sports with data. It feels like they only measured half the equation.

Speaker 2: [00:07:05] Well, they took a sport that relied heavily on old school scouting, which, you know, was riddled with biases about what a player supposedly looked like. And they replaced it with objective math, right?

Speaker 1: [00:07:16] They looked for market inefficiencies.

Speaker 2: [00:07:18] Yeah. By measuring things like on base percentage walk rates and defensive efficiency.

Speaker 1: [00:07:23] But looking closely at the Moneyball philosophy, it seems entirely focused on lag indicators, like it measures what happens after the bat cracks or the pitch is thrown.

Speaker 2: [00:07:32] That's very true.

Speaker 1: [00:07:33] It tells you the exact launch angle of a home run, but it completely ignores the setup. It never touches the space between the player's ears in the moments before they step into the batter's box.

Speaker 2: [00:07:44] And that is the exact gap, Wilder points out. Moneyball revolutionized the measurement of the physical action, but it provided zero insight into a player's psychological readiness to perform that action.

Speaker 1: [00:07:56] Which means for the mental game, coaches are still stuck in the pre Moneyball era.

Speaker 2: [00:08:00] Pretty much, yeah.

Speaker 1: [00:08:01] For decades, they have relied on this vague intuition to gauge mental readiness. You hear it all the time, right? Right. Oh, he looked locked in during warm ups. Or he seemed a bit distracted today.

Speaker 2: [00:08:13] Or he's a gamer. He always shows up when it counts.

Speaker 1: [00:08:16] Exactly.

Speaker 2: [00:08:16] But Deming had a very low opinion of intuition when it came to process control. I mean, without a standardized measurement, intuition is really just an opinion dressed up as an observation.

Speaker 1: [00:08:27] Oh, I like that. An opinion dressed up as an observation, right?

Speaker 2: [00:08:30] You cannot scale or reliably repeat a system built entirely on a coach's gut feeling. This actually leads to key takeaway number one from the source material. What you don't measure, you can't improve.

Speaker 1: [00:08:43] Makes total sense.

Speaker 2: [00:08:44] If the sports world has been running on subjective opinions about mental performance for a century, it means mental performance hasn't been systematically improving. It's just fluctuating randomly.

Speaker 1: [00:08:54] It's essentially chaos wearing a team jersey. So if intuition is flawed and the Wilder's hypothesis is that we must measure mental readiness before the play happens. How do you actually quantify something as abstract and messy as a teenager's headspace?

Speaker 2: [00:09:10] That's the big question.

Speaker 1: [00:09:11] Let's go back to that baseball scenario from the very beginning.

Speaker 2: [00:09:14] The 17 year old shortstop in the bottom of the sixth inning.

Speaker 1: [00:09:17] Right. It's a tie game. His team needs three outs to advance in the playoffs. A totally routine ground ball is hit directly at him. I mean, he has fielded this exact hop 10,000 times in practice.

Speaker 2: [00:09:33] Easy out normally.

Speaker 1: [00:09:35] Exactly. But right now, his weight is back on his heels. His hands are a fraction of an inch too low. He is half a second slow to read the bounce. The ball just eats him up. It's an error that cost them the game.

Speaker 2: [00:09:47] So if we look at the standard reaction from a coaching staff the next day, what usually happens?

Speaker 1: [00:09:52] Oh, they focus entirely on the physical mechanics. They talk about his footwork, they critique his glove presentation. And you know, at the next practice the coach hits 50 ground balls right at him, just drilling that physical motion over and over again.

Speaker 2: [00:10:05] But according to this framework, drilling the physical mechanics is treating a symptom while ignoring the disease. The player already knows how to field a ground ball. He's done it 10,000 times. The actual root cause of the error was his cognitive state before the pitch was ever thrown.

Speaker 1: [00:10:20] Because of that working memory bottleneck we talked about earlier.

Speaker 2: [00:10:23] Precisely. He was mentally distracted or anxious, which overloaded his prefrontal cortex. That cognitive load literally physically delayed the neurological signal from his brain to his fast twitch muscles. Wow. A slow mind literally creates a slow first step. The failure happened before the ball was hit.

Speaker 1: [00:10:41] So how does Wilder's company game ready mindset actually measure that? The source outlines their system, and honestly, it sounds incredibly rudimentary.

Speaker 2: [00:10:49] It's very.

Speaker 1: [00:10:49] Simple. Yeah. Before competition, players open an app on their phones to log their mental weather state, it takes three seconds, one tap. They choose between sunny, cloudy, or stormy. No in depth In-depth psychological surveys. Just a quick snapshot, right? I have to push back on this though. Isn't a one tap, sunny, cloudy, stormy log basically just a digital mood ring?

Speaker 2: [00:11:11] I can see why you'd say that.

Speaker 1: [00:11:12] Like how does that qualify as hard data? Are we really supposed to believe that a teenager tapping cloudy on an app is a reliable, empirical predictor of him dropping a ground ball two hours later?

Speaker 2: [00:11:25] Well, that skepticism is totally natural, but this is where Deming's concept of common cause variation becomes crucial.

Speaker 1: [00:11:31] Okay.

Speaker 2: [00:11:32] What's that? Common cause variation refers to the routine, predictable fluctuations that are built directly into the way a system currently operates. They aren't freak accidents. The simplicity of the app is actually deliberate, because it removes the friction of data collection, which allows you to track these routine fluctuations consistently over time.

Speaker 1: [00:11:52] Oh I see, so it's about the aggregate trend, not just a single isolated data point.

Speaker 2: [00:11:56] Yes. According to Wilder's early observations with this methodology, clear patterns emerge when players consistently report a stormy or cloudy state before a game. The data shows they make significantly more errors on routine fundamental plays compared to when they report a sunny state.

Speaker 1: [00:12:12] That's wild.

Speaker 2: [00:12:13] Yeah, it ceases to be random bad luck or a sudden loss of talent. It reveals itself as a predictable output of a measurable system that's just operating below its optimal baseline.

Speaker 1: [00:12:25] And once you establish that pattern, you stop making the kid take 50 extra ground balls. In practice, you start fixing the upstream input.

Speaker 2: [00:12:33] Exactly. You build a targeted mental preparation routine. You figure out what specific inputs, get that player into a sunny state, or at least mitigate the cognitive drag of a cloudy state. So their neurological pathways are clear and they're physically ready to react the moment the ball is in play.

Speaker 1: [00:12:50] Cracking a shortstop's pregame mindset makes sense to me because baseball is fundamentally a game of pauses. You know, you have long stretches of time to stand there and think.

Speaker 2: [00:12:59] Very.

Speaker 1: [00:12:59] True, but what happens to this system when you remove the pauses. How does tracking mental weather hold up in continuous, chaotic environments where mental strain doesn't just happen before the game, but spikes violently in real time?

Speaker 2: [00:13:11] Yeah, that's the ultimate test, right?

Speaker 1: [00:13:12] So Wilder tests this methodology against two incredibly fluid sports soccer and hockey.

Speaker 2: [00:13:19] Let's examine soccer first, because Wilder identifies a very specific, highly vulnerable cognitive window during a match.

Speaker 1: [00:13:27] He points out that the most dangerous moment for a soccer team isn't necessarily when they're exhausted at the end of a game. It is the five minute window immediately after they concede a goal.

Speaker 2: [00:13:38] It is a recognized phenomenon in the sport. A team gives up a goal and instantly their defensive structure looks completely disorganized. Totally. They miss easy clearances, they rush their passes and frequently within just a few minutes, they concede a second goal.

Speaker 1: [00:13:54] And usually the coach on the sideline assumes the players just gave up or lost their physical stamina. But Wilder breaks down the cognitive reality, right? In those five minutes, the players are experiencing acute mental disruption. They are actively processing real time failure. They're dealing with self-blame, pointing fingers at teammates, replaying the mistake in their heads. But the referee has already blown the whistle and the ball is live.

Speaker 2: [00:14:19] Think about how this applies beyond sports, though. Think about the last time you made a noticeable mistake during a public presentation at work.

Speaker 1: [00:14:25] Oh the worst.

Speaker 2: [00:14:26] You stumble over a crucial slide, your boss frowns and a wave of panic hits you. But you can't stop. You have to keep presenting, right?

Speaker 1: [00:14:34] You're expected to just push through.

Speaker 2: [00:14:36] Exactly. Your brain is stuck analyzing the mistake while simultaneously trying to deliver the next sentence. Your working memory is overloaded. That acute real time panic is exactly what Wilder is analyzing in these soccer players.

Speaker 1: [00:14:50] If we look at it through Deming's 94% rule, the player who panics and gives up the second goal isn't, you know, mentally weak.

Speaker 2: [00:14:58] No, not at all.

Speaker 1: [00:14:59] The failure belongs to the team's culture. They failed to build a systematic, practiced way to mentally reset in real time. It's the operating system crashing because there was no background process designed to clear the error cache.

Speaker 2: [00:15:11] And teams that lack a structured mental recovery process surrender those compounding goals disproportionately. But if you measure it and build a system for it, like maybe a shared team cue to reset focus, you drastically reduce that specific variation of failure.

Speaker 1: [00:15:26] Which brings us to hockey. If soccer has vulnerable five minute windows, hockey might be the most extreme example of continuous chaos.

Speaker 2: [00:15:34] Oh, absolutely.

Speaker 1: [00:15:35] The physical and mental demands don't build up slowly over 90 minutes. They spike violently in a matter of seconds.

Speaker 2: [00:15:42] We are talking about situations like a five on three penalty kill or a sudden death overtime period in the playoffs, where one single missed assignment ends your entire season.

Speaker 1: [00:15:54] In those high stakes moments. Conventional sports wisdom tells us you want the player who is fired up. Do you want the guy who is foaming at the mouth, running on pure passion and adrenaline.

Speaker 2: [00:16:05] Right? The enforcer type.

Speaker 1: [00:16:07] Exactly. But Wilder's framework completely upends that narrative.

Speaker 2: [00:16:10] Because adrenaline is the enemy of precision from a biological standpoint, adrenaline floods the system with cortisol. It induces tunnel vision and shakes. Yes, it degrades fine motor control, which is exactly what you need to handle a hockey puck or execute a precise pass.

Speaker 1: [00:16:25] Wilder has a quote in the source material that really stands out to me. He writes, adrenaline is not a process. It's noise.

Speaker 2: [00:16:32] It's such a great line. Deming dedicated his life to helping massive manufacturing organizations reduce noise and uncontrolled variation in their assembly lines. Wilder suggests we should view athletic performance through that exact same lens.

Speaker 1: [00:16:46] Relying on adrenaline is basically relying on uncontrolled variation.

Speaker 2: [00:16:50] Exactly.

Speaker 1: [00:16:51] So Wilder's hypothesis is that the players who consistently thrive in sudden death overtime are not always the most naturally gifted skaters. They are the most mentally systematic.

Speaker 2: [00:17:01] They rely on routine, right?

Speaker 1: [00:17:03] They have a practiced pre-shift routine. They use deliberate internal cues to lower their heart rate, clear the noise, and execute their assignments closer to their actual capability. They rely on process, not passion.

Speaker 2: [00:17:16] When the pressure is at its absolute highest, the goal isn't to be spectacular. The goal is to perform to your standard baseline without degrading, right?

Speaker 1: [00:17:23] Just do your job.

Speaker 2: [00:17:24] Exactly. That level of consistency isn't magic. It can be trained, tracked, and measured if you have the proper system in place.

Speaker 1: [00:17:31] So when we pull all these threads together. Deming shuffling through an NYU classroom, the blind spots of the Moneyball revolution, the Shortstop's cognitive traffic jam, and the biological noise of adrenaline in hockey, it really all falls down to key takeaway number three from Wilder's piece.

Speaker 2: [00:17:48] Which is.

Speaker 1: [00:17:49] Reduce the pressure, start to measure.

Speaker 2: [00:17:51] Yes, the objective isn't to create perfect humans. These environments are far too dynamic to eliminate failure completely. But by implementing systems, you can drastically reduce the preventable cognitive breakdowns.

Speaker 1: [00:18:04] Because over a long season, that adds up.

Speaker 2: [00:18:07] Exactly over the course of a long season or a long career. Mitigating those preventable breakdowns is the actual mathematics of winning.

Speaker 1: [00:18:14] Which brings this entire concept right back to you. Listening to this deep dive, you may never have to field a ground ball with a championship on the line, or stare down a power play in sudden death overtime. Probably not. But Deming's 94% rule applies directly to the high stakes environments of your own life.

Speaker 2: [00:18:31] The mechanics of working memory bottlenecking are universal, whether you wear a jersey or a suit.

Speaker 5: [00:18:36] If you lose your composure.

Speaker 1: [00:18:37] During a contentious project meeting, or if you snap at a colleague when a deadline gets moved up, the default reaction is to beat yourself up. We internalize it as an individual character flaw.

Speaker 2: [00:18:50] I have a terrible temper or whatever, right?

Speaker 5: [00:18:52] You tell yourself.

Speaker 1: [00:18:53] I'm just bad at handling stress. But if we apply this framework, you are likely looking at a system failure. You haven't built a structured mental recovery process for your work day. Yeah. You haven't managed your upstream inputs and you try to navigate a high pressure moment, relying on raw adrenaline or intuition instead of a reliable, practiced routine.

Speaker 2: [00:19:14] The implications of this are really vast, especially when we consider the future of workplace performance right now. Elite athletic programs are beginning to track cognitive readiness with the same obsessive precision they use for physical biometrics.

Speaker 1: [00:19:28] They're turning the abstract mind into hard data.

Speaker 2: [00:19:30] They are. Which leads to a really fascinating consideration if this methodology proves successful in sports, how long until the corporate world adopts it? Businesses are always looking for the next efficiency metric. How long until multinational corporations demand a mental weather dashboard before their executives are allowed to make high stakes financial decisions?

Speaker 1: [00:19:51] That is an incredible thought to leave on. I mean, we already have smartwatches that track our resting heart rate, our sleep cycles, our blood oxygen levels.

Speaker 2: [00:20:00] It's all there.

Speaker 1: [00:20:00] It is not a massive leap to imagine a near future where those biometrics are continuously broadcasting our cognitive stress levels directly to our employers dashboards.

Speaker 2: [00:20:11] It's a little dystopian, honestly, right?

Speaker 1: [00:20:13] Will we reach a point where an algorithm preemptively locks you out of your corporate email account? Because your elevated heart rate and fragmented sleep data indicate you are in a stormy state. Like mathematically, you're statistically likely to send a disastrous reply to a client.

Speaker 2: [00:20:29] It forces us to ask whether our future value in the workplace will be determined by our resumes and raw skills, or by the measurable, verifiable consistency of our internal operating systems.

Speaker 1: [00:20:40] It certainly makes you rethink how you prepare for the chaotic moments in your own week. Are you trusting your gut or are you bringing data? Think about your own inputs today and what your mental weather looks like right now. Thank you for joining us on this deep dive. We started by comparing a quality control statistician to a teenager dropping a baseball, and it turns out they were operating on the exact same assembly line all along.

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