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dannyphantom | 3 months ago
They definitely leaned into being a cultural artifact. Jokes, anecdotes, stories, how-tos, homeopathic recipes for things like cough syrups, etc. They all look kinda the same so either brand consistency or to keep the nostalgia factor.
Their sun/moon/eclipse is rooted in real math foundations but their “proprietary” weather forecast model was developed when the publication began in 1792.
It’s like 30% hard astronomical data, 30% proprietary models that they’ve been using for generations and 40% storytelling.
edit for context on scientific side:
WRT forecast modeling, the publication claims ~80% accuracy [1] but it’s been found to come out to about ~50%+ under scrutiny [2]
[1] https://www.almanac.com/2026-old-farmers-almanac
[2] https://climate.colostate.edu/blog/index.php/2024/08/23/shou...
conductr|3 months ago
My local weather news has all the benefits of real time data and weather models yet I think their accuracy rate is just as poor when it comes to producing the 7 day outlook. It’s common to hear a forecast for rain/cold front/etc in 7 day outlook that just never materializes. Also the timing of the event if it does arrive is almost always off by a day or two. Often they have the whole town worried about something that’s definitely happening Friday, they talk about it all week, everyone is preparing, little league games getting rescheduled, etc. then only hours beforehand it’s well looks like maybe Sunday. Then Sunday comes and instead of inches of rain, it’s a sprinkle.
I’m not even trying to be critical of weather reporting, I get that it’s a crapshoot but doing it a year+ ahead of time and getting similar results/accuracy is actually quite impressive.
Waterluvian|3 months ago
I think what might be getting observed here is that when forecasting that many days out, the local data becomes so unimportant to the model's outcome that the model is just reflecting historical climate trends. Which kind of makes both the same kind of model. Ie. when forecasting tomorrow, the current temperature and pressure data really makes a difference. But once pushed to 7 days, those data essentially become a proxy for typical weather at that time of year, possibly down-weighted by a lot.
I just woke up and I feel like I'm doing a very poor job trying to describe this.
hajile|3 months ago
We have far from perfect information and very flawed models too.
Interestingly, there seems to be some success with AI models that almost completely skip the science and jump straight to pattern recognition. It's interesting to think of modern 10-day weather forecasting going back to its old almanac roots.
throw0101d|3 months ago
Where is your local source getting their forecast from?
> A seven-day forecast can accurately predict the weather about 80 percent of the time and a five-day forecast can accurately predict the weather approximately 90 percent of the time. However, a 10-day—or longer—forecast is only right about half the time.
* https://www.nesdis.noaa.gov/about/k-12-education/weather-for...
There are also 'technicalities': I'm in Toronto, Canada, which is 40km east-to-east and 20km from the lake to the northern border. If rain hits the western half (around 427/Sherway/Etobicoke) but not the eastern half (Scarborough bluffs), is a "it will rain" forecast correct for the city? Some will perceive it as yes and some as no.
wat10000|3 months ago
If I predict that the weather in my location on November 7, 2076 will be moderately cool and sunny (as it is today), I have a pretty good chance of being correct. I wouldn’t find it impressive, though.
astura|3 months ago
KPGv2|3 months ago