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Understanding Mean Data vs MoM Data in Sustained Attention

Understanding Mean Data vs MoM Data in Sustained Attention

Updated over 3 weeks ago

If you’ve ever completed a Sustained Attention (SART) session and noticed that your Minute-on-Minute (MoM) accuracy steadily improves — while your Grand Mean (GM) accuracy stays unusually low — you’re not alone. It’s one of the most common questions we get from users, athletes, and coaches.

And it makes sense. When your performance clearly improves during the session, a low GM score can feel like a bug or miscalculation.

The truth? It’s working exactly as intended.

The reason comes down to how this task is designed — to isolate and test two different brain systems:

  1. Your ability to stay focused and tap with speed and rhythm.

  2. Your ability to control your impulses and stop tapping when required.

This article explains how the scoring logic works — and why it’s critical that these two metrics are tracked separately.

How the SART Task Works

The Sustained Attention task (SART) presents a rapid-fire stream of single-digit numbers, shown every 750–1050 milliseconds.

Your instructions:

  • Tap as quickly as possible for every number except the number 3

  • Do not tap when you see a 3

This creates two competing demands:

  • Maintaining speed and focus under time pressure

  • Inhibiting automatic tapping when required

That’s what makes this task neurologically powerful. You build up a tapping rhythm — then have to break it suddenly. To measure these two systems properly, we track them separately: with MoM and GM.

Why There Are Two Accuracy Scores

Let’s break the session into two behavior streams:

1. Minute-on-Minute Accuracy (MoM)

This tracks how well you tap when you’re supposed to — i.e., for non-3s. Since non-3s appear most of the time, MoM provides a clean minute-by-minute view of your focus, rhythm, and consistency.

It answers: “Are you staying focused and tapping correctly under pressure?”

2. Grand Mean Accuracy (GM)

GM tracks your ability to stop tapping when you see a 3. Because 3s are rare and appear randomly, GM is measured across the whole task.

It answers: “Did you successfully inhibit your response when it mattered?”

Why We Separate Them

Combining all responses into one score would be misleading. Here's why:

  • Most stimuli are non-3s. A single tap on a 3 could get “washed out” in a high overall percentage.

  • Someone could not tap at all — and still score 100% — just by avoiding errors on 3s.

  • The number of 3s per minute is random. That would make a combined accuracy unstable and inconsistent.

By splitting them:

  • MoM = Measures attention, timing, and rhythm

  • GM = Measures impulse control and restraint

This gives you much more meaningful insight — and ensures high scores are earned through real performance, not inactivity.

Real-World Examples

Example 1: High MoM and High GM

This athlete tapped consistently on non-3s and avoided tapping on 3s. Both scores were high.

  • Focused + accurate tapping

  • Strong inhibition

  • Consistent throughout the task

Result: MoM and GM aligned — elite-level execution and restraint.

Mean Data

MoM Data

Example 2: MoM Improves, GM Remains Low

This athlete struggled early, missing taps and failing to inhibit on 3s. MoM improved later, but GM remained low due to early inhibition errors.

  • Momentum built over time

  • Early taps on 3s pulled GM down

  • Strong finish, but GM is cumulative

Result: MoM shows recovery, but GM reflects full-session inhibition failures.

Mean Data

MoM Data

Conclusion

The reason GM and MoM can diverge — and must be tracked separately — is because this task challenges two very different parts of your brain: focused attention, and impulse inhibition. A single accuracy score wouldn’t be able to capture both systems reliably.

MoM tells you how well you’re managing attention under pressure, minute by minute. GM tells you whether your brain is overriding automatic impulses when it needs to. This is especially important in environments like high-performance sport, combat, or aviation, where a single mistimed action (or failure to act) can be the difference between success and failure.

By separating these scores, we ensure the task gives honest, reliable, and specific feedback — even when the answers aren’t pretty.

FAQs

What Is the Grand Mean (GM)?

GM stands for Grand Mean — and it’s the overall average of your performance across every trial in a session.

Definition:

The Grand Mean is the total average of all correct responses across the full task, calculated from individual trials (not grouped by time).

What it tells you:

  • Your cumulative accuracy over the entire session

  • A clear, total performance summary

  • Great for spotting general trends and outcome-level performance

What Is Mean of Minute Means (MoM)?

MoM stands for Minute on Minute — it’s the average of each minute’s performance, treated equally regardless of how many events occurred per minute.

Definition:

The MoM is the unweighted average of the accuracy values calculated for each minute block during the task.

What it tells you:

  • Your minute-by-minute consistency

  • Helps track progress, rhythm, or fatigue over time

  • Excellent for identifying short-term improvements or slumps

Why is the GM accuracy so sensitive?

Because “3”s appear randomly and infrequently, and each one is critical.
Missing even a few has a big impact. This is by design - GM reflects your ability to override automatic tapping and shows how well your brain handles high-stakes inhibition moments.

I started badly but got better — why didn’t GM improve?

GM is a cumulative score over the entire session.


Even if your MoM accuracy rises (indicating improvement), early failed inhibitions on “3”s will still count against your GM. It's a realistic picture of your inhibition control over time, not just at the end.

Why use this method specifically in SART?

SART is designed to simulate real-world challenges where:

  • You must react quickly over and over

  • But occasionally not react when it counts

By splitting tapping (MoM) and inhibition (GM), we get precise data on two critical mental systems — which is why this approach is the most accurate and informative way to score this task.

Why Does My MoM Accuracy Stay High Even If I Tap on a Few 3s?

Minute-on-Minute (MoM) accuracy tracks how accurately you’re tapping on non-3 numbers during each minute of the task.

Because most of the numbers you see are not 3s, the majority of your taps are on valid targets. If you're tapping correctly on most non-3s, your MoM accuracy will stay high — even if you occasionally tap on a 3 by mistake.

That said, tapping on a 3 is still considered incorrect and will reduce your MoM accuracy. But since there are fewer 3s than non-3s in each minute, a few errors won’t drop the percentage significantly unless they happen frequently.

Why Is My Grand Mean (GM) Accuracy So Low Even When My Minute-on-Minute (MoM) Accuracy Looks High?

This is completely normal — and it's one of the most important distinctions in how the Sustained Attention (SART) task is scored.

Your MoM accuracy reflects how well you're tapping on non-3s — the majority of stimuli. It shows your ability to stay focused, maintain rhythm, and respond quickly over time. That’s why MoM can trend upward minute by minute, especially if you’re finding your flow mid-task.

Your GM accuracy, on the other hand, is much more strict. It tracks how well you’re inhibiting your response when a “3” appears. Because 3s appear rarely and randomly, every incorrect tap on a 3 carries a heavy weight. Just a few failed inhibitions can pull your GM score down dramatically — even if your tapping performance is otherwise flawless.

So while MoM rewards sustained attention and tapping accuracy, GM exposes lapses in impulse control — and it doesn’t forget early mistakes.

How should I interpret the results?

Think of it like this:

  • MoM tells you how well you stayed focused and hit your timing minute-by-minute

  • GM tells you if you had the control to stop when needed — even when tapping had become automatic

Together, they show you how your brain is balancing execution speed with restraint, which is crucial in environments like sport, medicine, aviation, and military decision-making.

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