Show HN: Groundhog-day.com – structured groundhog data (groundhog-day.com)
Over the last year, I've worked on aggregating Groundhog data, including predictions, location, and a cute photo.
Welcome to GROUNDHOG-DAY.com: The clean and breathable, machine-readable, all-regional data source for Groundhog Day forecasts. Find your fave groundhog, peruse past predictions, or trek the continent-wide Groundhog Map.
Includes enterprise-grade API for corporate use cases.
56 comments
[ 5.0 ms ] story [ 161 ms ] threadI think, as a local councillor/politician, you show up to a Groundhog Day event and there are like 50 people there hoping you say it's gonna be spring soon, and so you just tell them that it will be.
However, it doesn't seem to be holding for this year, where most have said longer winter so far: https://groundhog-day.com/predictions/2023
Hopefully, this site helps shine a light on these unscientific groundhogs.
I wonder if there is an easy way to tell which groundhog uses which method and if the groundhogs are more accurate about climate change than the humans.
RIP Fred la marmotte
The organizers claimed they had a replacement lined up for today, but blame an unnamed state statue for not actually being able to use them: https://www.nj.com/news/2023/01/groundhog-day-to-be-without-...
I'm confused though. The placard says 'early spring' for 2023, but clicking on it, the split is 26/29 early spring vs long winter. Am I reading this wrong or is the placard wrong?
If you look at the past 3 years, they have all been "early spring": https://groundhog-day.com/predictions
So the logic that was there didn't actually work properly, but I never noticed it before.
sqlite-utils docs here: https://sqlite-utils.datasette.io/en/stable/cli.html
Also how often did their right or wrong predictions contradict the majority?
I mentioned this in another comment, but accuracy data is basically impossible to get. You have to get weather data year by year for different regions of the country and then compare them to historical ranges. Means a pretty huge amount of trawling through data, not a lot of payoff.
> Also how often did their right or wrong predictions contradict the majority?
This one, you can get a little more easily. Check out the predictions page to see them grouped by year: https://groundhog-day.com/predictions
If you are looking up a specific groundhog, you can see how often they align/differ from the plurality.
https://www.noaa.gov/stories/everyones-favorite-groundhog-pr...
40% accurate, so you're better off inverting Phil's prediction, but not by much.
On the other hand, there is an API as well, so you can build a custom groundhog dashboard if you like.
There is an API for this extremely useful data?
https://groundhog-day.com/add-groundhog
"Tom Hanks and Bill Murray are the same person" was an interesting finding :-)
When I visited the site again now, a few hours later but still Feb 3rd in my time zone, with the current time being 12:12 pm (middle of the day), now it says instead when the next Groundhog Day is (“364 DAYS UNTIL GROUNDHOG DAY 2024”).
Not sure if it is intended exactly like that in terms of time zones or not.
Regardless, cool site and it was interesting to learn a bit more about Groundhog Day. Thank you :)
Edit: The only thing I'm missing is some pictures of real groundhogs.
> Includes enterprise-grade API for corporate use cases.
Lmao, brilliant.
You know, with ever more details, upper bound, lower bounds of days, confidence levels, statistical modelling, comparisons against world events that day and psychological profiles of all participants.
Having a viewport issue with the tables. "Groundhogs" runs over the right margin on desk and mobile. I can zoom it out to see the whole thing on desktop, but not mobile (zooms in but not out). My browser fonts are set to "large." Desktop, Macbook 2017, 1280px wide: https://paste.pics/2756a626c59b8c309e43fa4b7b67d16c Mobile, Pixel 4XL, 412px wide: https://paste.pics/e58e17c7c05b9d404f74367d3fbb6c48
Perhaps the left menu bar could be narrower (lot of horiz whitespace there)? Or the column widths could be narrower?
"Predictions" table looks good on desktop, but cuts off last 2 columns on mobile.
Everything else looks great. I love the map.