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Ghost Click Detector

Verdict
Ready

Start the test and click normally to collect a sample.

InactiveRight/middle clicks work here; context menu suppressed.
Total
0
Suspicious
0
Rate
0.0%
Avg interval
Fastest
Last btn
Press Start and single-click in the box.

How to use

  1. Set the minimum interval threshold and button filter (left, middle, or right) for the test.
  2. Press Start.
  3. Perform intentional single clicks only — one clean press per attempt, as evenly as you can.
  4. Collect enough samples (aim for 30+ clicks per FAQ guidance) before trusting the rate.
  5. Review suspicious count, suspicious rate, and the overall verdict.
  6. Use export if available to archive runs when comparing mice or before/after a repair.

FAQ

Does one suspicious click mean my mouse is broken?

Not always. Small samples can be noisy, so run multiple tests with 30+ clicks.

Can I test only one button?

Yes. Use the button filter to isolate left, middle, or right click behavior.

Introduction

Ghost Click Detector looks for chatter: extra click events too close together when you intended a single press. It measures intervals between clicks and flags pairs that fall under your threshold.

Purpose

  • Troubleshoot accidental double-clicks in apps or games.
  • Compare mice or firmware after switch replacement or cleaning.

Key Features

  • Adjustable time gap threshold and optional per-button filtering.
  • Counts suspicious close pairs and summarizes rates for chatter-style failure.
  • Runs entirely client-side for privacy-sensitive hardware checks.

Common Use Cases

  • Suspected double-click or switch bounce on a gaming mouse.
  • Before/after comparing switches, repairs, or warranty claims (informal evidence only).

Best Practices

  • Collect many deliberate single clicks per button — small samples lie.
  • Tighten threshold only after you understand baseline noise on a known-good mouse.

Comparison metrics

Metric How to read it
Suspicious count / rate Higher share of samples below the threshold suggests more bounce risk — always judge on large samples.
Interval vs threshold Events closer than your chosen ms window are flagged.
A vs B Same threshold, same hand, same sample size — the mouse with fewer flags is more stable in this test.