Pulse
10 second challenge

Internal clock test: count to 10.00 with no clock

Press Start and the clock disappears. Count 10 seconds in your head and press Stop.

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Your tries on the 10-second ruler

9.709.809.9010.0010.1010.2010.30 s
10.00Perfect: dead on, to the hundredth
9.90–10.10Pass: within ±0.10 s
< 9.90 · > 10.10Miss: too early or too late

How to play

0.00s
1Press Start

The clock fades out.

4.27s
2Count 10 seconds

In your head, at a steady pace.

10.04sPass
3Press Stop

Or the space bar. Your time comes back.

It is the 3 second challenge with no clock to lean on.

How accurate is your internal clock?

Short answer
It varies from person to person and the error is relative: in a study of timing from 68 ms to 16.7 min, the coefficient of variation (spread divided by the interval) fell slowly as intervals got longer, rather than staying constant (Lewis & Miall, 2009). Your own result is the number that matters, so try several runs.
1 s target 3 s target 10 s target target

Schematic, not study data. Longer targets spread your tries over more seconds; as a share of the target the spread shrinks only slowly (Lewis & Miall, 2009).

A constant coefficient of variation is the scalar property of timing, described in animals (Gibbon, 1977). In humans the picture is less tidy, which is one reason there is no single “typical error at 10 s” to quote here.

Does counting in your head help?

Not for accuracy, but for precision: counting did not improve the accuracy of 10 to 90 s productions, but it did make tries more consistent (Thönes & Hecht, 2017).

Not counting Counting target

Schematic, not study data. Same centre, tighter tries: counting improved precision, not accuracy (Thönes & Hecht, 2017). At 60 and 90 s counting also made people overshoot; that disappeared at shorter intervals.

What the studies say, in four cards

1%

Pulse Pass window. ±0.10 s around 10 s.

Pulse game rule
68 ms → 16.7 min

Spread as a share of the interval falls slowly as intervals get longer.

Lewis & Miall, 2009
10–90 s

Counting brought no gain in accuracy, but tries were more consistent.

Thönes & Hecht, 2017
Constant

In animals, spread grows in step with the interval: the scalar property.

Gibbon, 1977

Lines are schematic, not study data: none of these sources prints a typical error for a 10 s count.

Tips for the 10 second challenge

Pick a rhythm and keep it steady to the end.

Count at a steady pace

Counting makes your tries more consistent (Thönes & Hecht, 2017), so repeat and watch the spread.

Train with the clock first

A few tries of the 3 second challenge set your rhythm.

Try the opposite task

In the time estimation test you judge a gap instead of producing one.

More hidden targetsPulse has 14 Hidden Clock levels, from 0.50 s to 10 s.
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FAQ

How accurate is your internal clock?

It varies, and the error is relative: Lewis & Miall (2009) found the coefficient of variation falls slowly as intervals get longer, from 68 ms to 16.7 min, rather than staying constant (Lewis & Miall, 2009). Your own result is the only number that matters here, so try several runs.

Does counting in your head help?

Not for accuracy: counting did not improve accuracy of 10-90 s productions, but it did improve precision (less spread between attempts) (Thönes & Hecht, 2017). At 60 and 90 s counting also made people overshoot; that disappeared at shorter intervals.

Why is the clock hidden?

Because the test is of your own time sense; with a visible clock you would read it instead.

What is the 10 second challenge?

Start a clock, hide it, and try to stop it at exactly 10.00 s. The closer you stop, the better your internal clock estimate.

Sources

  1. Lewis PA, Miall RC. The precision of temporal judgement: milliseconds, many minutes, and beyond. Philosophical Transactions of the Royal Society B, 2009; 364:1897–1905. pmc.ncbi.nlm.nih.gov/articles/PMC2685820/
  2. Thönes S, Hecht H. Counting does not improve the accuracy of long time productions. Attention, Perception, & Psychophysics, 2017; 79(8):2576–2589. doi.org/10.3758/s13414-017-1407-5
  3. Gibbon J. Scalar expectancy theory and Weber’s law in animal timing. Psychological Review, 1977; 84(3):279–325. doi.org/10.1037/0033-295X.84.3.279

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