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@cheryanne@aus.social
2026-02-12 11:16:49

The Psychology Of Your 20's
Hosted by Jemma Sbeg, we deep dive into the science and psychology behind a topic, concept or universal experience that defines our 20s...
Great Australian Pods Podcast Directory: greataustralianpods.com/psycho

The Psychology Of Your 20's Screenshot of the podcast listing on the Great Australian Pods website
@netzschleuder@social.skewed.de
2025-12-12 21:00:05

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 242 nodes and 6594492 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 242 nodes, 6594492 edges. https://networks.skewed.de/net/sp_colocation#LyonSchool

sp_colocation — Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window. We release here 6 co-presence data sets. The contexts in which these data were collected are: a workplace, with data collected in two different years (InVS13, InVS15), a hospital (LH10), a primary school (LyonSch…

@netzschleuder@social.skewed.de
2026-02-11 23:00:04

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 403 nodes and 1417485 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 403 nodes, 1417485 edges. https://networks.skewed.de/net/sp_colocation#SFHH

sp_colocation — Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window. We release here 6 co-presence data sets. The contexts in which these data were collected are: a workplace, with data collected in two different years (InVS13, InVS15), a hospital (LH10), a primary school (LyonSch…

@cdarwin@c.im
2026-02-09 17:50:04

James Rouly was discovered Jan. 27 near a dumpster, wearing a hospital gown and no shoes as temperatures dipped into the low 20s.
A local resident, Daniel December, found Rouly and called police.
"I don't know why anyone wouldn't make a call," said December to KFDM.
"They would let a disabled man in a wheelchair underdress like that just sit out there like that. That's pretty cruel."

'What's wrong with the world?' Man in wheelchair found dead outside in freezing temps
The 61-year-old man had been released from a hospital the day before.

@gwire@mastodon.social
2026-02-08 16:06:58

Wait, so the due diligence process for approving the UK's Ambassadors is... junior civil servants doing Google searches?
hansard.pa…

Lord Mandelson - Hansard - UK Parliament
Hansard record of the item : 'Lord Mandelson' on Wednesday 4 February 2026.

@detondev@social.linux.pizza
2025-12-10 14:39:26

Kimi Onoda, Japan's new Minister of State for Economic Security, is a 43 year old half-Irish ex-game industry PR femcel with an extensive history of defending her exclusive attraction to anime boys on twitter

I don't think it's twisted at all. I'm a woman who likes men, and I'm not interested in 3D men. That's all.
I apologize for rambling on. I just couldn't stay silent... I really wish I had more allies within the party... From here on, this is completely my personal opinion, but fundamentally, people who truly love 2D wouldn't touch 3D at all. I myself have absolutely no interest in 3D and consider it out of bounds. Maybe that kind of feeling is something only those involved can understand.
"Hurry up and get married," "Have kids" I've been told this by voters since my 20s, but even at 40, I still sigh every time these words are thrown at me. At what age will I finally be free of this? In the 3D world, I'm married to my country, and besides, I've said my private life is 2D-exclusive, haven't I!! I'll say it over and over: I'm 2D-exclusive!!
I've been saying this for a while now, but I don't consider 3D (real-life) people as romantic prospects. I'm dead serious, not joking. For me, the very act of someone seeing the "possibility of marriage" in me is inherently uncomfortable (quoted from a reply)-it's the same as if you were to suggest to a gay person that they marry someone of the opposite sex... If you can understand it that way, that would help. This isn't about sexual harassment or anything like that; it's a deep-seated discomf…
@netzschleuder@social.skewed.de
2026-02-12 12:00:05

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 100 nodes and 394247 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 100 nodes, 394247 edges. https://networks.skewed.de/net/sp_colocation#InVS13

sp_colocation — Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window. We release here 6 co-presence data sets. The contexts in which these data were collected are: a workplace, with data collected in two different years (InVS13, InVS15), a hospital (LH10), a primary school (LyonSch…

@netzschleuder@social.skewed.de
2026-02-11 03:00:05

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 242 nodes and 6594492 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 242 nodes, 6594492 edges. https://networks.skewed.de/net/sp_colocation#LyonSchool

sp_colocation — Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window. We release here 6 co-presence data sets. The contexts in which these data were collected are: a workplace, with data collected in two different years (InVS13, InVS15), a hospital (LH10), a primary school (LyonSch…

@netzschleuder@social.skewed.de
2025-12-10 22:00:04

sp_colocation: Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
This network has 232 nodes and 1283194 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

sp_colocation: Social co-locations (2018). 232 nodes, 1283194 edges. https://networks.skewed.de/net/sp_colocation#InVS15

sp_colocation — Social co-locations (2018)
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window. We release here 6 co-presence data sets. The contexts in which these data were collected are: a workplace, with data collected in two different years (InVS13, InVS15), a hospital (LH10), a primary school (LyonSch…