Direct Answer
A prediction page gave you a good score, you drove to a dark site, you stayed up late, and you saw almost nothing. This happens more often than most observers admit.
The prediction was not wrong, exactly. But it was incomplete in ways that matter a lot to what you actually see.
What prediction models actually account for
Most visibility predictions combine shower activity rate, radiant altitude, moonlight, darkness window, and some measure of sky quality. That is a meaningful model of atmospheric and astronomical potential.
What they model is the probability that usable meteor activity exists in your sky. They do not model your eyes, your attention, or random streaks of bad luck.
- Shower activity and expected meteor rate
- Radiant altitude during your observing window
- Moon phase and position relative to radiant
- Length of usable darkness at your location
The gap between prediction and experience
Predictions cannot see the microclimate that sits above your specific site. High-altitude haze, localized moisture, light pollution from a nearby town, or a temperature inversion can all degrade viewing without appearing in any model.
Meteor activity itself is also variable in ways that are difficult to capture in advance. A prediction might use a ZHR of 100, but the actual meteor rate fluctuates around that value.
- Local atmospheric conditions: haze, humidity, temperature inversion
- Unexpected nearby light sources
- Random natural fluctuation in meteor activity
- Personal factors: eye adaptation, fatigue, attention drift
Why randomness is bigger than most people think
Even with perfect conditions, meteor counts follow a Poisson-like distribution. That means variance is high, and two equally well-prepared observers at the same site on the same night can report meaningfully different counts.
No prediction captures this. The model gives you the expected value; your actual session is a single draw from a noisy distribution.
How to close the gap
Use predictions as one input among several. Check weather, validate sky quality if possible, and treat each session as one data point rather than a verdict on the prediction.
Multi-night observing plans almost always outperform single-session over-investment. Spread your chances across several windows and the randomness partially cancels out.
Using MeteorGazer realistically
Use the prediction score to compare nights and sites, not to commit to a single night with full certainty. When the prediction is favorable, plan the session; when it is marginal, treat it as a backup opportunity.
The Tonight page gives you a quick sanity check closer to real time, which closes some of the weather-related gap that multi-day predictions cannot fill.