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In one post, according to the US Attorney’s Office,
former women's track and field coach Steven Waithe wrote:
“Does anyone want to trade nudes?
I’m talking girls you actually know. Could be exes or whatever.
I have quite a few and [am] down to trade over snap[chat] or something.” 
Legal documents do not name the sites on which Waithe distributed these images,
but Bellingcat found a cached version of a November 2020 post with that exact wording on Leake…

@netzschleuder@social.skewed.de
2026-06-20 01:00:05

fediverse: Fediverse network (2018)
An early snapshot of the federation network among web publishers using the ActivityPub protocol. Nodes are instances, and a directed edge exists if an instance follows another instance.
This network has 4860 nodes and 484164 edges.
Tags: Social, Online, Information
ne…

fediverse: Fediverse network (2018). 4860 nodes, 484164 edges. https://networks.skewed.de/net/fediverse
@hex@kolektiva.social
2026-05-19 07:09:57

Logistics in the technical sense (part of supply chain management) is a subset of logistics in the vernacular sense ("the handling of the details of an operation"). You can explore this second and more general sense, and thereby build an understanding of the first and more technical sense, by iteratively asking the question, "how does one make that happen" and follow questions from there.
A big part of organizing is figuring out the (vernacular) logistics (and helping others figure it out). You want to organize a seed swap? Ok. How does one make that happen? Well, you need seeds, people, a place, and perhaps a time. How does one make that happen? You can forage seeds or you can buy seeds for a garden and swap extras. How do you get people to come? Well, figure out where you want people to come from and choose an accessible place. What's the easiest thing to do? Get people from your neighborhood. How does one make that happen? Well, maybe put up flyers. How does one make that happen? Well, print them on your printer if you have one, or at a library, then go post them up. Etc.
Keep asking questions until you either find a roadblock that you can't find a way around, or you find things you can do yourself (one of those things you can do yourself is asking friends to help).
If you practice the exercise of thinking about how things happen, you can start to find things that you can do yourself. You can start to understand what exists now, and you can imagine what's possible. By thinking about logistics, you can figure out how to replace things when they collapse or are dismantled. You can also identify things that can't easily be replaced, and try to figure out alternatives.
This practice is good for figuring out how to build, but it can also be a valuable practice for figuring out how to resist. Concentration camps and ethnic cleansing also require logistics. Mass displacement means moving people. How does one do that? People are generally going to be moved in planes or buses. How does one do that? Well, people get loaded on to planes or buses in specific places. Planes and buses need fuel. Planes are fueled at their airports, which may well be the same places where people are loaded on to them. There is a fuel depo and a fuel truck that makes flying people out of a specific place possible. How does the fuel get to that fuel depo? Well, that fuel is probably also delivered by truck. Someone drives those trucks. Someone fuels those planes. Someone clears the planes for takeoff. Someone fuels those busses. Someone drives those busses. And so on.
Logistics networks can be highly complex. The more complex the operation, the more possible points of failure and more possible points where pressure can be applied, where operations can be disrupted. Ethnic cleansing is a complicated operation. The logistics of disrupting complicated things tend to be much less complicated than the logistics of the complicated things themselves.
The Right has exploited this fact for a long time. Centralized social services are logistically complex. Public infrastructure is logistically complex. By destroying these things, they can loot public resources by privatizing the infrastructure and functionality.
But the things that support the Right are even more logistically complex. Oil, cars, AI data centers, internal paramilitary, these are extremely complicated and fragile. There are numerous pressure points, all of which can respond to numerous strategies.
If we want to win, we should reduce the influence of politics over the things we care about. We should focus on building distributed mutual aid networks that don't rely on state funding and aren't subject to the whims of politicians. This is also known as "dual power." That is, creating counter-institutions outside of the dominant political system. The Right already does this in the form of churches and corporations.
As we reduce our complexity, we can then press our complexity advantage against the things for which the Right *needs* the state: the apparatus of violence needed to maintain capital and enforce the dominant order.

@Techmeme@techhub.social
2026-05-19 05:05:47

Sources: Intel asks its leading PC partners, including those in the US, China, and Taiwan, to use more 18A CPUs, citing better supply than chips on older nodes (Nikkei Asia)
asia.nikkei.com/spotlight/supp

@netzschleuder@social.skewed.de
2026-05-20 08:00:06

fediverse: Fediverse network (2018)
An early snapshot of the federation network among web publishers using the ActivityPub protocol. Nodes are instances, and a directed edge exists if an instance follows another instance.
This network has 4860 nodes and 484164 edges.
Tags: Social, Online, Information
ne…

fediverse: Fediverse network (2018). 4860 nodes, 484164 edges. https://networks.skewed.de/net/fediverse
@netzschleuder@social.skewed.de
2026-07-19 01:00:03

facebook_friends: Maier Facebook friends (2014)
A small anonymized Facebook ego network, from April 2014. Nodes are Facebook profiles, and an edge exists if the two profiles are "friends" on Facebook. Metadata gives the social context for the relationship between ego and alter.
This network has 362 nodes and 1988 edges.
Tags: Social, Online, Unweighted, Metadata

facebook_friends: Maier Facebook friends (2014). 362 nodes, 1988 edges. https://networks.skewed.de/net/facebook_friends
@netzschleuder@social.skewed.de
2026-05-20 02:00:04

november17: November17 members (2009)
A network representing connections among members of the November 17 (N17) Greek terrorist group. Nodes are members, and an edge exists if two members have some connection in the past. Metadata include role, function, resources. Some attributes are missing.
This network has 22 nodes and 66 edges.
Tags: Social, Offline, Unweighted, Metadata

november17: November17 members (2009). 22 nodes, 66 edges. https://networks.skewed.de/net/november17
@netzschleuder@social.skewed.de
2026-07-19 05:00:05

ceo_club: CEO Club Memberships
A bipartite network of the memberships of chief executive officers and the social organizations (clubs) to which they belong, from the Minneapolis-St. Paul area. Data originally collected by Galaskiewicz in 1985.
This network has 40 nodes and 95 edges.
Tags: Social, Affiliation, Unweighted

ceo_club: CEO Club Memberships. 40 nodes, 95 edges. https://networks.skewed.de/net/ceo_club
@netzschleuder@social.skewed.de
2026-06-19 18:00:04

openflights: Openflights airport network
A network of regularly occurring flights among airports worldwide, extracted from the openflights.org dataset. Nodes represent airports, and direction of edge (i,j) indicates a regularly occurring commercial flight by a particular airline from airport i to airport j. Multiple edges may exist between a pair of airports if multiple airlines offer that flight, or if one airline offers multiple such flights each day.
This network has 3214 node…

openflights: Openflights airport network. 3214 nodes, 66771 edges. https://networks.skewed.de/net/openflights
@netzschleuder@social.skewed.de
2026-05-20 01:00:05

openflights: Openflights airport network
A network of regularly occurring flights among airports worldwide, extracted from the openflights.org dataset. Nodes represent airports, and direction of edge (i,j) indicates a regularly occurring commercial flight by a particular airline from airport i to airport j. Multiple edges may exist between a pair of airports if multiple airlines offer that flight, or if one airline offers multiple such flights each day.
This network has 3214 node…

openflights: Openflights airport network. 3214 nodes, 66771 edges. https://networks.skewed.de/net/openflights