2026 · PLOS One
Who is disrupting whom? Examining the nighttime activity patterns of humans and their dogs
Verdict
UNSCIENTIFIC
Neither the paradigm nor the study inside it passes. The verdict is unscientific.
1·Study methodology · inside the paradigm
UNSCIENTIFIC
Does not follow the scientific method within Sleep Medicine.
2·Paradigm · Sleep Medicine
UNSCIENTIFIC
Fails the tests. The worse layer decides.
How the verdict is decided
The verdict grades both layers: the paradigm this study assumes, and how the study was carried out inside it. Both must be scientific for the whole thing to be scientific. A clean method inside an unscientific paradigm is unscientific. An unscientific method inside a better paradigm is unscientific. A split on either layer is mixed. The worse layer decides.
1·Study methodology
Did this study test its claim with methods that are independent, falsifiable, and non-circular?
UNSCIENTIFIC
This study claims that people and their dogs affect each other's nighttime movement, usually with the person moving first, and that having more than one dog makes people rate their sleep as worse. All three tests fail.
Independently Verifiable
Fail
The sensors produced movement counts, and the sleep model's software relabeled quiet minutes as sleep and a questionnaire total as sleep quality, so nobody saw the sleep the claim is about.
Falsifiable
Fail
Human first, dog first or same minute, every order of movement was written up as the two affecting each other, and sharing a room already explains moving together.
Non-Circular
Fail
The person's own movement trace decided where the night began and ended, then human and dog movement were counted only inside that window and compared.
Why
They mailed wrist sensors to 25 people and collars to 38 huskies and malamutes, and everyone wore them for about four weeks. The sensors logged movement counts each minute. One author looked at each person's trace and marked where the night started and ended, and software relabeled quiet minutes as sleep. Dog movement was then summed only inside that same window. People also filled out a sleep questionnaire. In 22 of 36 pairs the authors picked out a peak by eye on boxplots, and the order of the peak was read as who disturbed whom. The one significant questionnaire result came from a model no better than one with no predictors. Nobody filmed a dog waking a person or the reverse.
2·Paradigm · Sleep Medicine
Does the framework this study assumes pass the three tests?
UNSCIENTIFIC
Independently Verifiable
Fail
A person lying still, then getting up, is visible, but this field's measures are a wrist-movement rule matched to brain-wave recordings and a 0 to 21 questionnaire total, which a stranger sees as lines and a sum.
Falsifiable
Fail
When the wrist sensor and the questionnaire disagreed here, the result was filed as a gap between self-reported and objective sleep, and both measures stayed in good standing.
Non-Circular
Fail
The wrist rule is checked against sleep scored under the field's own scoring rules, and the questionnaire was written by sleep clinicians whose definition of poor sleep it then reports.
Why
Sleep itself is something anyone can watch: a person lying still, then getting up. Sleep medicine adds wrist-movement rules that label each minute as sleep or wake, efficiency percentages, and a 0 to 21 questionnaire total. Those are set against sleep scored from brain-wave recordings under the field's own scoring rules, and the questionnaire comes from the same clinicians who define poor sleep. When the wrist data and the questionnaire disagree, as they did here, the field calls it a gap between subjective and objective sleep and keeps trusting both. No disagreement between measures is allowed to count against the framework.
From the study
each nightly human sleep period was visually identified and coded by author MFL as the time between “Lights Out” (characterized by a notable decrease in activity) and “Got Up” (characterized by a marked and steady increase in activity)
At this time, the MotionWatch 8 device has not been validated for classifying physiological sleep/wake states in dogs
Dog total nighttime activity was the response variable and calculated as the sum of all activity counts during the human sleep period.
It is important to note that when comparing to an intercept-only model, the PSQI model was not significantly better (n = 25, p = 0.116).