Hackaday Links: March 8, 2020

A lot of annoying little hacks are needed to keep our integer-based calendar in sync with a floating-point universe, and the big one, leap day, passed us by this week. Aside from the ignominy of adding a day to what’s already the worst month of the year, leap day has a tendency to call out programmers who take shortcuts with their code. Matt Johnson-Pint has compiled a list of 2020 leap day bugs that cropped up, ranging from cell phones showing the wrong date on February 29 to an automated streetlight system in Denmark going wonky for the day. The highest-profile issue may have been system crashes of Robinhood, the online stock trading platform. Robinhood disagrees that the issues were caused by leap day code issues, saying that it was a simple case of too many users and not enough servers. That seems likely given last week’s coronavirus-fueled trading frenzy, but let’s see what happens in 2024.

Speaking of annoying time hacks, by the time US readers see this, we will have switched to Daylight Saving Time. Aside from costing everyone a precious hour of sleep, the semiannual clock switch always seems to set off debates about the need for Daylight Saving Time. Psychologists think it’s bad for us, and it has elicited a few bugs over the years. What will this year’s switch hold? Given the way 2020 has been going so far, you’d better buckle up.
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Farewell SETI@Home

It was about 21 years ago that Berkley started one of the first projects that would allow you to donate idle computing time to scientific research. In particular, your computer could help crunch data from radio telescopes looking for extraterrestrial life. Want to help? You may be too late. The project is going into hibernation while they focus on analyzing data already processed.

According to the home page:

We’re doing this for two reasons:

1) Scientifically, we’re at the point of diminishing returns; basically, we’ve analyzed all the data we need for now.

2) It’s a lot of work for us to manage the distributed processing of data. We need to focus on completing the back-end analysis of the results we already have, and writing this up in a scientific journal paper.

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