December 23, 2015. Ellington, Connecticut.
The man on the line had a story to tell, and every detail was vivid.
Richard Dabate told police that a large man in camouflage had broken into his home, a stranger in a mask with “a voice like actor Vin Diesel,” rummaging through a closet. (Because nothing says credible eyewitness account like “I am Groot.”) That intruder, he said, shot his wife, Connie Dabate, and fled. Afterward, Richard explained, he managed to free himself from the zip ties and the blowtorch burns the attacker had left on him.
It was a vivid story. It held up for exactly as long as it took investigators to pull the data off the Fitbit clipped to Connie’s waistband. A small plastic device, no bigger than a thumb, was about to say something the grieving husband had not.
What the watch recorded
Connie wore a Fitbit One, a modest little tracker that counted steps and logged her activity through the day. When investigators recovered its data, one number stopped them cold: her last recorded movement came at 10:05 a.m. Richard had placed her death at around 9:05 a.m. That left roughly an hour (~60 minutes) in which, according to the device on her body, Connie kept moving, long after her husband swore she was already gone.
A second number made the first one worse. At 8:41 a.m., someone logged into Richard’s Outlook account from the home’s own IP address, at the very moment Richard insisted he was nowhere near the house. (Apparently, fleeing a masked home invader and clearing your inbox are equally urgent items on the morning agenda.)
Both numbers contradicted the story. And quietly, with no eyewitness to the crime required, the timeline he had built began to collapse.
What followed
Richard Dabate was arrested, tried, and convicted on May 10, 2022 on all counts: murder, tampering with physical evidence, and making a false statement to police. On August 18, 2022 he was sentenced to 65 years in prison. In March 2025 the Connecticut Supreme Court unanimously upheld the conviction (6-0), rejecting Dabate’s challenges to both the Fitbit evidence and alleged prosecutorial misconduct. The case is now widely cited as a landmark for wearable-device evidence in criminal proceedings.
The easy headline and the harder lesson
The easy headline writes itself: the watch testified. But if that is all a litigator takes from this case, they have missed the part that will decide the next one.
The headline skips the process. The Fitbit data was the product of a process, not a raw fact pulled from the ether: a sensor measuring motion through an accelerometer, an algorithm deciding what counts as a “step,” a timestamp created at the moment of measurement, then synced to the cloud at a separate, later moment. Between those two timestamps there can be minutes, sometimes more. A serious software expert has to explain not just what the figure shows, but how it was produced and where it can mislead:
- When the activity was recorded versus when it was synced to the cloud: two different timestamps.
- Which time zone the timestamp is calibrated to, and whether device and server clocks drift apart.
- How the algorithm counts a “step,” and what triggers false positives (arm movement, driving, vibration).
- Whether there are gaps, interpolation, or rounding that blur the resolution.
The ability to explain the data’s limits is what survives cross-examination. A party that presents the Fitbit as “absolute truth” is exposed. One that explains exactly what the data can and cannot prove is credible.
Why this is a court-specialist problem, not a developer problem
Wearable data arrives in court looking certain: time, date, number. That apparent certainty is the problem.
A developer retained as an expert might explain what was measured. A court-appointed software expert who has built opinions on digital evidence knows to ask different questions: What does the manufacturer’s documentation say about timestamp precision? What is the stated uncertainty margin? How was the file extracted from the device, and who can testify to chain of custody?
That is the language that survives cross-examination, that a judge can build a factual finding on, that holds when opposing counsel brings their own expert. A finding is worth very little if it cannot be defended.
The same principle applies to any smart device that reaches a courtroom: watch, car, smart speaker, health app.
The takeaway
The Dabate case proved that wearable data can convict. It also showed that wearable data can, under different circumstances, be attacked. The side that brings an expert who can explain the measurement from the inside, not just read the number from the outside, is the side that holds up.
The above is general information only and does not constitute legal advice. Specific facts of the Dabate case are drawn from the sources cited.