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a bunch of archives of incredibly important government datasets like maternal mortality statistics are about to be deleted forever. in a regime where they're known to fudge numbers, we can't trust a lot of the data coming from them to not be altered. open source backups like those found on data.world are vital to being able to verify that the data coming from our government is still intact and not altered. and they're about to delete all of it.

i don't know if we need to start a petition or what. nobody seems to fucking care. there are millions of users on data.world and yet nobody is raising the alarm bells and it makes me feel like I'm going insane. somebody needs to do something. i don't know what to do. it feels like more and more of this world is being destroyed and dismantled. it's not only US centric data, either! it's all sorts of countries from around the world! and they're about to fucking delete everything.

the only things that won't be deleted are private companies who happen to use the paid version of their platform (which isn't accessible data to the open source community; some people have just been using their service to host their own data on privately)

and the kicker? this announcement was made... via an AI generated blog post. so not even any sort of human touch. just a generic, soulless announcement made by a soulless human about to take a wrecking ball to one of the more important websites that exists on the internet.

an example of some of the things that will be deleted on July 11th:

Global ocean currents, using data compiled by NASA’s ECCO (Estimating the Circulation and Climate of the Ocean) model. They blend satellite observations with data from floating ocean sensors and maps how water moves across the planet.

In middle school biology, we did an experiment. We were given yams, which we would sprout in cups of water. We then had to make hypotheses about how the yams would grow, based on descriptions of yam plants in our books, and make notes of our observations as they grew.

Here’s what was supposed to happen: we were supposed to see that the actual growth of the plant did not resemble our hypotheses. We were then supposed to figure out that these were, in fact, sweet potatoes.

What actually happened was that every single student in every single class lied in their notes so that their observations perfectly matched their hypotheses. See, everyone assumed the mismatch meant they had done something wrong in the process of growing the plant or that they had misunderstood the dichotomous key or the plant identification terminology. And, thanks to the wonders of a public school education, everyone assumed the wrong results would get us a failing grade. We were trying to pass. We didn’t want to get bitched out by the teacher. Curiosity, learning, science - that had nothing to do with why we were sitting in that classroom. So we all lied.

The teacher was furious. She tried to fail every student, but the administration stepped in and told her she wasn’t allowed to because a 100% fail rate is recognized as a failure of the teacher, not the class. It wasn’t even her fault, really, though her being a notorious hard-ass didn’t help. It was a failure of the entire educational system.

So people ask questions in ways they know they can get right. And especially if the data is CLOSE, but not quite over the line of significance? Well. That could have been circumstance or error too, couldn’t it? Couldn’t we tweak it JUST a little, because I know in my heart what’s really happening, and keeping my lab open and my techs and students paid, my mortgage and student loans up to date…oh, we set these things in front of people and then expect them to be moral when all our current metrics are poised to punish them for it, and then we blame people for falsifying data. And that before taking into account the grifters who think they’re owed personal fame and glory and have NO compunctions about lying as long as they think they can get away with it.

Standing in his laboratory, Harvard professor Sean Eddy gazes at a row of vacant work stations. More than a year ago, this lab was filled with over a dozen researchers. On a given day they might be working independently on analyzing genomic sequencing or gathered around the group table, drinking coffee and helping each other troubleshoot questions about genomic data from different species.

Now, after his funding was terminated under the Trump administration, the computer screens are gone and the room is silent. He's one of the last people left.

“Yeah we’ll just park all of our missile launchers right here next to the hospital and then accuse Iran of bombing a hospital”