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https://twitter.com/ForensicArchi/status/1715422493274427414I have the utmost respect for Forensic Architecture, but when the analysis conducted is only valid in the scenario of one hypothesis and is invalid had the circumstances of another hypothesis happened, then it's not really useful in determining between them.
https://twitter.com/AJEnglish/status/1714984258358391057This is why it can be known as the 'Iron-Dome shield', each missile battery can defend against ~150km2 and targets the rockets towards the end of their trajectory, after the fuel has burnt off and the trajectory is more predictable.
https://twitter.com/AyazK100/status/1714558676378488832First, I want to preface this analysis by pointing out that this account has been spreading disinformation and denialism about Ukraine for over a year. They have never acted in good faith, but for the people sharing his crap without knowing this I'll refute it at face value.
https://twitter.com/Nrg8000/status/1667119808494829568Obviously, the purpose of this data is to provide insight to people far more knowledgable in the military tactics and strategy than me, so I won't focus too much on my armchair general takes, but I do want to share a few quick things that mapping this mas made me realise.
https://twitter.com/IrynaVoichuk/status/1666528705378766859, georeferenced the images, plotted points at the edge of the floodwaters to create a flood-elevation surface and compared that to FABDEM elevation models.
https://twitter.com/TheStudyofWar/status/1653906530087890947You can have reasonable theories that this was a false flag, I disagree for the simple fact that it makes the Kremlin look inept and weak as hell. But the point is, it's irresponsible to throw these largely baseless theories out there knowing how they'll be consumed.
https://twitter.com/JackDAshby/status/1639210717050961922The study runs its probability models on verified sightings and comes out with a mean extinction date of 1937 (95% ci: 1934-1938), but once they add the ludicrous unconfirmed sightings in the database (where the headline figure comes from) it becomes 2011 lmao.
https://twitter.com/qianjinghua/status/1635613322614538242
https://twitter.com/stevievzh/status/1635644559945506819
https://twitter.com/cliona_raleigh/status/1630127802992279552I have no problem with ACLED. For a global dataset, it's great. Far and away the best event data at a global scale and I often use it. But it certainly has its issues. Bad data in (eg SOHR), bad data out. This trade-off might be necessary for more complete coverage, but it exists