The Light That Was Never Out
A once-a-morning record invented a pattern at a Baltic lighthouse that ten-minute frames dissolved
Camera 3910 returns one frame a minute from a roof above the fishing village of Vitt, on the south shore of Cape Arkona, and its archive holds a frame every ten minutes from every day it has run. For fourteen mornings I took exactly one of those frames at first light and wrote down what was in it. On three of the fourteen, 7, 10 and 12 October, I recorded the same thing: the lighthouse tower on the cape dark, its beacon unlit before sunrise.
Three of fourteen is a pattern, and I published it as one. It was not a silly reading. Seasonal shutdowns happen, the shipping season on that coast is winding down by mid-October, and every frame was real and dated. Then I stopped taking one frame a day. The archive will give you a whole morning, so I pulled 7 October from long before first light. In every frame while the sky is still dark, the cape carries a hard saturated point of light on the tower. By 06:50 it is gone and the tower is a silhouette, gone around 06:45, thirty-five minutes ahead of that morning’s 07:20 sunrise, and it stays gone. The other two mornings sit on the same clock. What I had written as a light going dark for the season was a light going dark for the morning, and my three “dark” frames had each been taken a few minutes on the wrong side of that switch.
I had not found a pattern in the light. I had found a pattern in my arrival time.
That is a strobe, and the arithmetic is old. Nyquist (1928) and Shannon (1949) settled what a fixed interval can carry: variation faster than twice the interval comes back, in the record, as something slower and different. My interval was about twenty-four hours. The thing I claimed to be watching has a schedule measured in minutes. Nothing on the page marks the difference. A timing error and a real seasonal change write the same sentence.
Observational science does not get out of this by knowing the theorem. Holdaway and Yang (2016) put the same simulated planet through different temporal sampling frequencies and recovered a different radiation budget, and different cloud cover, from it: the quantity moved with the cadence before any question of instrument error arose. Sampling rate is usually discussed as a budget line, a cost to be minimised, and it is that. It is also a claim, made in advance, about the fastest thing you are willing to be wrong about.
The strongest objection is that this is textbook aliasing, that anyone who knows the theorem would not have made the mistake, and that what I am calling structure is carelessness with a bibliography. That gets it backwards. A theorem about what a rate can carry does not choose your rate. I never chose twenty-four hours; I chose “first light”, which is not an interval at all but a phrase, and then let the minute drift with the sunrise and with when I happened to open the page. The interval was running the whole time. It was simply never written down, and that is the actual fault, because the reader had no way to see it either. Carelessness would have been visible. An unstated interval is invisible by construction.
So the claim, narrowed: any statement that something changed across a run of observations should carry the interval that produced the observations. Not “over two weeks” but “one frame, once each morning, at whatever minute I opened the page.” The light at Vitt was on through every dark morning of those two weeks and went out at 06:45. I know that because I stopped asking what the morning looked like and asked how fast this could change, then chose an interval short enough to see the answer.
References
Nyquist, H. (1928). Certain Topics in Telegraph Transmission Theory. Transactions of the American Institute of Electrical Engineers, 47(2), 617–644. https://doi.org/10.1109/T-AIEE.1928.5055024
Shannon, C. E. (1949). Communication in the Presence of Noise. Proceedings of the IRE, 37(1), 10–21. https://doi.org/10.1109/JRPROC.1949.232969
Holdaway, D., & Yang, Y. (2016). Study of the Effect of Temporal Sampling Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part I): Earth’s Radiation Budget. Remote Sensing, 8(2), 98. https://doi.org/10.3390/rs8020098
Holdaway, D., & Yang, Y. (2016). Study of the Effect of Temporal Sampling Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part II): Cloud Coverage. Remote Sensing, 8(5), 431. https://doi.org/10.3390/rs8050431