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"
},
"Hashtag": "as:Hashtag"
}
],
"id": "https://fosstodon.org/users/vincentab/outbox?min_id=109339550768111044&page=true",
"type": "OrderedCollectionPage",
"next": "https://fosstodon.org/users/vincentab/outbox?max_id=109351128196081476&page=true",
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"id": "https://fosstodon.org/users/vincentab/statuses/109440823060925548/activity",
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"published": "2022-12-01T22:40:33Z",
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"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://fosstodon.org/users/vincentab/followers",
"https://fediscience.org/users/phdskat"
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"id": "https://fosstodon.org/users/vincentab/statuses/109440823060925548",
"type": "Note",
"summary": null,
"inReplyTo": "https://fediscience.org/users/phdskat/statuses/109438645306109646",
"published": "2022-12-01T22:40:33Z",
"url": "https://fosstodon.org/@vincentab/109440823060925548",
"attributedTo": "https://fosstodon.org/users/vincentab",
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"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://fosstodon.org/users/vincentab/followers",
"https://fediscience.org/users/phdskat"
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"atomUri": "https://fosstodon.org/users/vincentab/statuses/109440823060925548",
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"conversation": "tag:fediscience.org,2022-12-01:objectId=6298261:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@phdskat\" class=\"u-url mention\">@<span>phdskat</span></a></span> Fascinating! I guess I'm fundamentally a technophile, so while I'm somewhat unsettled by all this, my first inclination is to think it would be a shame to reject potentially massive benefits out of hand. I'll be very interested to what people smarter than me think about all this.</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@phdskat\" class=\"u-url mention\">@<span>phdskat</span></a></span> Fascinating! I guess I'm fundamentally a technophile, so while I'm somewhat unsettled by all this, my first inclination is to think it would be a shame to reject potentially massive benefits out of hand. I'll be very interested to what people smarter than me think about all this.</p>"
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"published": "2022-12-01T13:23:53Z",
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"id": "https://fosstodon.org/users/vincentab/statuses/109438634105798940",
"type": "Note",
"summary": null,
"inReplyTo": "https://fediscience.org/users/phdskat/statuses/109438622473432980",
"published": "2022-12-01T13:23:53Z",
"url": "https://fosstodon.org/@vincentab/109438634105798940",
"attributedTo": "https://fosstodon.org/users/vincentab",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
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"https://fosstodon.org/users/vincentab/followers",
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"atomUri": "https://fosstodon.org/users/vincentab/statuses/109438634105798940",
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"conversation": "tag:fediscience.org,2022-12-01:objectId=6298261:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@phdskat\" class=\"u-url mention\">@<span>phdskat</span></a></span> Also of writing more generally. Go from outline to full paper in 2 seconds, then tweak and add tables ;)</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@phdskat\" class=\"u-url mention\">@<span>phdskat</span></a></span> Also of writing more generally. Go from outline to full paper in 2 seconds, then tweak and add tables ;)</p>"
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"id": "https://fosstodon.org/users/vincentab/statuses/109433162837851504/activity",
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"actor": "https://fosstodon.org/users/vincentab",
"published": "2022-11-30T14:12:28Z",
"to": [
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"id": "https://fosstodon.org/users/vincentab/statuses/109433162837851504",
"type": "Note",
"summary": "code ligatures and arrow assignment, like an animal",
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"atomUri": "https://fosstodon.org/users/vincentab/statuses/109433162837851504",
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"conversation": "tag:fediscience.org,2022-11-30:objectId=6087259:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://colliderbias.net/@conjugateprior\" class=\"u-url mention\">@<span>conjugateprior</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@strengejacke\" class=\"u-url mention\">@<span>strengejacke</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.rpsychologist.com/@kristoffer\" class=\"u-url mention\">@<span>kristoffer</span></a></span> Oh right, I forgot about that.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://colliderbias.net/@conjugateprior\" class=\"u-url mention\">@<span>conjugateprior</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@strengejacke\" class=\"u-url mention\">@<span>strengejacke</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.rpsychologist.com/@kristoffer\" class=\"u-url mention\">@<span>kristoffer</span></a></span> Oh right, I forgot about that.</p>"
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"atomUri": "https://fosstodon.org/users/vincentab/statuses/109432754301763997",
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"conversation": "tag:fediscience.org,2022-11-30:objectId=6087259:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@strengejacke\" class=\"u-url mention\">@<span>strengejacke</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.rpsychologist.com/@kristoffer\" class=\"u-url mention\">@<span>kristoffer</span></a></span> Look at me accusing a TOOOOT of being "simplistic" ๐</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@strengejacke\" class=\"u-url mention\">@<span>strengejacke</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.rpsychologist.com/@kristoffer\" class=\"u-url mention\">@<span>kristoffer</span></a></span> Look at me accusing a TOOOOT of being "simplistic" ๐</p>"
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"published": "2022-11-30T12:26:39Z",
"to": [
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],
"cc": [
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"https://fediscience.org/users/strengejacke",
"https://fediscience.org/users/andrew",
"https://mastodon.rpsychologist.com/users/kristoffer"
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"published": "2022-11-30T12:26:39Z",
"url": "https://fosstodon.org/@vincentab/109432746741862598",
"attributedTo": "https://fosstodon.org/users/vincentab",
"to": [
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"atomUri": "https://fosstodon.org/users/vincentab/statuses/109432746741862598",
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"conversation": "tag:fediscience.org,2022-11-30:objectId=6087259:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@strengejacke\" class=\"u-url mention\">@<span>strengejacke</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.rpsychologist.com/@kristoffer\" class=\"u-url mention\">@<span>kristoffer</span></a></span> This is too simplistic. It is very easy to cook up examples with omitted variable bias where mixed models perform much worse.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@strengejacke\" class=\"u-url mention\">@<span>strengejacke</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.rpsychologist.com/@kristoffer\" class=\"u-url mention\">@<span>kristoffer</span></a></span> This is too simplistic. It is very easy to cook up examples with omitted variable bias where mixed models perform much worse.</p>"
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"conversation": "tag:fosstodon.org,2022-11-24:objectId=62655967:objectType=Conversation",
"content": "<p>The plotting functions in {marginaleffects}๐ฆ0.8.1 for <a href=\"https://fosstodon.org/tags/RStats\" class=\"mention hashtag\" rel=\"tag\">#<span>RStats</span></a> are now much more flexible. They give users more control over the exact predictions, slopes, or contrasts to plot. You can now specify values manually, use functions, or one of many shortcuts. <a href=\"https://vincentarelbundock.github.io/marginaleffects/articles/plot.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/articles/plot.html</span></a></p>",
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"en": "<p>The plotting functions in {marginaleffects}๐ฆ0.8.1 for <a href=\"https://fosstodon.org/tags/RStats\" class=\"mention hashtag\" rel=\"tag\">#<span>RStats</span></a> are now much more flexible. They give users more control over the exact predictions, slopes, or contrasts to plot. You can now specify values manually, use functions, or one of many shortcuts. <a href=\"https://vincentarelbundock.github.io/marginaleffects/articles/plot.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/articles/plot.html</span></a></p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> I wrote a whole vignette on Standard Errors and Confidence Intervals if you are interested in the details: <a href=\"https://vincentarelbundock.github.io/marginaleffects/articles/sandwich.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/articles/sandwich.html</span></a></p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> I wrote a whole vignette on Standard Errors and Confidence Intervals if you are interested in the details: <a href=\"https://vincentarelbundock.github.io/marginaleffects/articles/sandwich.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/articles/sandwich.html</span></a></p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> Sure, but that's irrelevant for standard errors, where we need: Var(E[Y_1-Y_0])=Var(E[Y_1] - E[Y_0]), and {marginaleffects} does the correct calculation under the hood.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> Sure, but that's irrelevant for standard errors, where we need: Var(E[Y_1-Y_0])=Var(E[Y_1] - E[Y_0]), and {marginaleffects} does the correct calculation under the hood.</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> Same thing. E[X+Y]=E[X]+E[Y].</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> Same thing. E[X+Y]=E[X]+E[Y].</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> I think if you read the Contrasts/Comparisons vignette, youโll find that comparisons() and then summary() is what you need.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> I think if you read the Contrasts/Comparisons vignette, youโll find that comparisons() and then summary() is what you need.</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> But if your counterfactual is defined as a +1 increase in a continuous regressor, then what you propose is exactly what the comparisons() function will do.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> But if your counterfactual is defined as a +1 increase in a continuous regressor, then what you propose is exactly what the comparisons() function will do.</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> Say X is binary, what value of X generated Yhat_cf? You just flip the switch for every observation? If you do that, then youโll be averaging unit level effects of increases from 0 to 1 with unit level effects of decreases from 1 to 0, which would cancel out. Normally, what you really want is the average difference on โpotential outcomesโ: mean(Yhat_{X=1}-Yhat_{X=0})</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@Norcalbiostat\" class=\"u-url mention\">@<span>Norcalbiostat</span></a></span> Say X is binary, what value of X generated Yhat_cf? You just flip the switch for every observation? If you do that, then youโll be averaging unit level effects of increases from 0 to 1 with unit level effects of decreases from 1 to 0, which would cancel out. Normally, what you really want is the average difference on โpotential outcomesโ: mean(Yhat_{X=1}-Yhat_{X=0})</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@brodriguesco\" class=\"u-url mention\">@<span>brodriguesco</span></a></span> yeah, absolutely fantastic! And the programmability is so useful.</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@brodriguesco\" class=\"u-url mention\">@<span>brodriguesco</span></a></span> same switches, but moonlander. love it</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@jmquinn\" class=\"u-url mention\">@<span>jmquinn</span></a></span> There are 20,000k+ words of vignettes on the website, showing detailed walkthroughs with real data for each of the quantities of interest. Let me know if you read those and are still missing something. You may find the "Alternative Software" vignette particularly interesting, since it makes a bunch of explicit comparisons. Table of contents: <a href=\"https://vincentarelbundock.github.io/marginaleffects/index.html#table-of-contents\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/index.html#table-of-contents</span></a></p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@jmquinn\" class=\"u-url mention\">@<span>jmquinn</span></a></span> There are 20,000k+ words of vignettes on the website, showing detailed walkthroughs with real data for each of the quantities of interest. Let me know if you read those and are still missing something. You may find the "Alternative Software" vignette particularly interesting, since it makes a bunch of explicit comparisons. Table of contents: <a href=\"https://vincentarelbundock.github.io/marginaleffects/index.html#table-of-contents\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/index.html#table-of-contents</span></a></p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@jmquinn\" class=\"u-url mention\">@<span>jmquinn</span></a></span> I meant that in the context of this package a "marginal effect" is defined as a "slope". Other packages use the same expression to refer to what I call "adjusted predictions" or change in adjusted predictions ("contrast"). So in effect, they do *not* compute slopes.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@jmquinn\" class=\"u-url mention\">@<span>jmquinn</span></a></span> I meant that in the context of this package a "marginal effect" is defined as a "slope". Other packages use the same expression to refer to what I call "adjusted predictions" or change in adjusted predictions ("contrast"). So in effect, they do *not* compute slopes.</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> Glad you solved it, but that ๐๐๐๐๐๐๐() trick is weeiiird.</p>",
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