Disappearing Stars From 1950s Catalogue Explained in a Unique New Way

Sometime, someday, one day, eventually - it will be aliens.

So the last study nails it: the lack of transients during solar storms is explained by aliens not going out in bad weather.

Aliens in 1950 : "Was that a nuclear bomb on Earth?? Dammit! Quick, hide all our home stars from those nutjobs!"

The arguments noted in the video have major issues...Beatriz Villarroel used astronomical photographic plates from the Palomar Observatory and also conducted independent searches using plates from the Hamburg Observatory to analyze and confirm the 1950s transients. Your info is missing the plate comparison confirmations....

Those explanations should create both disappearing spots and "appearing" spots.

There is only one plausible answer: star-eating giant space turtles. Never thought of that, huh?

The transients were confirmed by the Hamburg Observatory in Germany where it allegedly found the same behaviour in the 50s. Maybe you can tell us more about it, Anton.

Fascinating how complex such a seemingly simple problem turned out to be.

I get it now. > He says "it's never aliens" > He calls me "wonderful person" He's definitely an alien trying to control the popular opinion.

The "phantom" Earth shadow explanation which disappeared on further inspection is a good reminder of being wary of relying on statistical derivations when there's a bias of some sort involved. One of the issues is even figuring out that there's a bias that can cause such an effect. Anecdotally, at one point, I personally wanted to see possible delayed correlations between my alcohol consumption and blood pressure. With several blood pressure measurements per day and every serving of alcohol logged at high temporal precision over a span of a year I thought I had enough data for this and derived various kinds plots on it, and they seemed pretty convincing. But what happened when I replaced the values of blood pressure for the observed time stamps with a simple diurnal sine wave values, which was obviously not affected by my alcohol intake? The "interesting effects" were still on the plots; basically these "effects" were caused by time constraints of my blood pressure measurements and alcohol intake happening at specific parts of the day. Sure, stopping alcohol consumption entirely drops blood pressure, but it is way too easy to massage the data such as I had collected in a way that almost convinced me of seeing more complicated correlations but were actually just effects of the sampling schedule.