A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"blurhash": "toot:blurhash",
"focalPoint": {
"@container": "@list",
"@id": "toot:focalPoint"
}
}
],
"id": "https://nerdculture.de/users/rlmcelreath/collections/featured",
"type": "OrderedCollection",
"totalItems": 1,
"orderedItems": [
{
"id": "https://nerdculture.de/users/rlmcelreath/statuses/112796041590780872",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-07-16T11:56:31Z",
"url": "https://nerdculture.de/@rlmcelreath/112796041590780872",
"attributedTo": "https://nerdculture.de/users/rlmcelreath",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://nerdculture.de/users/rlmcelreath/followers"
],
"sensitive": false,
"atomUri": "https://nerdculture.de/users/rlmcelreath/statuses/112796041590780872",
"inReplyToAtomUri": null,
"conversation": "tag:nerdculture.de,2024-07-16:objectId=129686214:objectType=Conversation",
"content": "<p>The International Society for Bayesian Analysis tells me Statistical Rethinking has won the 2024 DeGroot Prize for its contributions to "statistical inference, decision theory and statistical applications". This is huge honor especially given the previous winners who have influenced me so much. Book details: <a href=\"https://xcelab.net/rm/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">xcelab.net/rm/</span><span class=\"invisible\"></span></a></p>",
"contentMap": {
"de": "<p>The International Society for Bayesian Analysis tells me Statistical Rethinking has won the 2024 DeGroot Prize for its contributions to "statistical inference, decision theory and statistical applications". This is huge honor especially given the previous winners who have influenced me so much. Book details: <a href=\"https://xcelab.net/rm/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">xcelab.net/rm/</span><span class=\"invisible\"></span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://nerdculture.de/system/media_attachments/files/112/796/037/185/379/682/original/0d9b7c79697c5d2f.png",
"name": "Cover of book Statistical Rethinking",
"blurhash": "UaJ7OG9t4nXS-BW;ofWW00xu-;V@-;RjM{e.",
"focalPoint": [
0.12,
0.55
],
"width": 1641,
"height": 2000
},
{
"type": "Document",
"mediaType": "image/png",
"url": "https://nerdculture.de/system/media_attachments/files/112/796/037/583/952/350/original/d07408ffb91020a7.png",
"name": "\nWinners of the DeGroot Prize\n\n2021\nNicolas Chopin and Omiros Papaspiliopoulos (2020). An Introduction to Sequential Monte Carlo. Springer.\n\n2019\nSubhashis Ghosal and Aad van der Vaart. Fundamentals of Nonparametric Bayesian Inference. Cambridge University Press.\n\n2017\nDavid Banks, Jesus Rios, and David Rios Insua. Adversarial Risk Analysis. CRC Press.\n\n2015\nAndrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin. Bayesian Data Analysis, Third Edition. CRC Press.\n\n2013\nNoel Cressie and Christopher Wikle (2011). Statistics for Spatio-Temporal Data. John Wiley and Sons.\n\nKevin P. Murphy (2012). Machine Learning: A Probabilistic Perspective. MIT Press.\n\n2011\nJay Kadane (2011). Principles of Uncertainty. CRC Press.\n\n2009\nGiovanni Parmigiani and Lurdes Inoue (2009). Decision Theory: Principles and Approaches. John Wiley and Sons.\n\nCarl Edward Rasmussen and Christopher K. I. Williams (2006). Gaussian Processes for Machine Learning (freely available for download). The MIT Press.\n\n2007\nSylvia Frühwirth-Schnatter (2006). Finite Mixture and Markov Switching Models. Springer-Verlag, New York.\n\nHonorable mentions were made to runners-up:\nPeter E. Rossi, Greg Allenby, and Rob McCulloch (2005). Bayesian Statistics and Marketing. John Wiley & Sons, New York.\n\nHåvard Rue and Leonhard Held (2005). Gaussian Markov Random Fields: Theory and Applications, Volume 104 of Monographs on Statistics and Applied Probability. Chapman & Hall, London.\n\n",
"blurhash": "U2S$ov00xtaz-;Rjofj@flWVRjofRjayt7j[",
"focalPoint": [
-0.08,
0.88
],
"width": 1489,
"height": 2000
}
],
"tag": [],
"replies": {
"id": "https://nerdculture.de/users/rlmcelreath/statuses/112796041590780872/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://nerdculture.de/users/rlmcelreath/statuses/112796041590780872/replies?only_other_accounts=true&page=true",
"partOf": "https://nerdculture.de/users/rlmcelreath/statuses/112796041590780872/replies",
"items": []
}
},
"likes": {
"id": "https://nerdculture.de/users/rlmcelreath/statuses/112796041590780872/likes",
"type": "Collection",
"totalItems": 106
},
"shares": {
"id": "https://nerdculture.de/users/rlmcelreath/statuses/112796041590780872/shares",
"type": "Collection",
"totalItems": 61
}
}
]
}