Single-world intervention graphs (SWIGs) as distributions. Systematic way to derive identifying expressions for estimands. New front-door derivations extending more readily to complex settings.

Conceptually, simultaneously related to and distinct from Rubin's framework and Pearl's calculus.

https://doi.org/10.48550/arXiv.2605.17050

#SWIG #DAG #causal #identification #frontdoor #docalculus

Single World Intervention Graphs as Distributions: A Framework for Causal Identification

Causal inference seeks to estimate the effect of an intervention on an outcome using observed data, typically via Rubin's potential-outcome framework or Pearl's do-calculus. Following section 9 of Richardson and Robins (2013), this essay treats single-world intervention graphs (SWIGs) as representations of both the observed-data distribution and the interventional distribution, rather than as a bridge to potential outcomes. We demonstrate that this perspective provides a systematic way to derive identifying expressions for estimands defined by interventions on selected variables. Back-door derivations mirror those in existing literature, while front-door derivations offer a distinct pathway that extends more readily to complex settings. Conceptually, the method is simultaneously related to and distinct from Rubin's framework and Pearl's calculus.

arXiv.org
Family identifies couple involved in paddleboarding accident near Squamish, B.C.
Two paddleboarders, who went missing after falling into Browning Lake at Murrin Provincial Park on Saturday, have now been identified by a family member as Genesis Jeru Bague and Mariz Bello.
https://www.cbc.ca/news/canada/british-columbia/missing-paddleboard-couple-identified-by-brother-9.7219822?cmp=rss
Family identifies couple involved in paddleboarding accident near Squamish
Two paddleboarders, who went missing after falling into Browning Lake at Murrin Provincial Park on Saturday, have now been identified by a family member as Genesis Jeru Bague and Mariz Bello.
https://www.cbc.ca/news/canada/british-columbia/missing-paddleboard-couple-identified-by-brother-9.7219822?cmp=rss

"Kansas, Texas, Indiana, Tennessee, and other states are creating lists of trans people, moves that advocates say would make it nearly impossible to exist in a trans body."

"They want to kill us."
———————————————
Title: Red states are making lists of trans people as surveillance ramps up
Author: Nick Fulton
Publication: Prism
April 2, 2026
———————————————
#Kansas #Indiana #Texas #Tennessee #USA #Surveillance #Healthcare #Identification #Genocide
https://prismreports.org/2026/04/02/red-states-are-making-lists-of-trans-people-as-surveillance-ramps-up/

Red states are making lists of trans people as surveillance ramps up

Kansas, Indiana, Texas, and Tennessee want to collect information about trans people who sought gender-affirming care or changed gender markers on documents

Prism

Interesting.

"The model was able to classify the five kinds of insects to the species level with 85 percent accuracy. When it came to more broadly distinguishing between the four bee species and the one wasp species—two different families of insects—it was able to do so with 96 percent accuracy."

https://spectrum.ieee.org/mmwave-radar-insects-pollinators?share_id=9519054

#Technology #Wireless #Insects #Identification #MillimetreWaves

Silent Pollinator Tracking With mmWave Radar

Micro-Doppler signatures could help monitor vital pollinator populations

IEEE Spectrum

Ordinary #WiFi can now identify people with near perfect accuracy

source: sciencedaily.com/releases/2026…

Scientists in #Germany have demonstrated a startling new form of surveillance: identifying people using nothing more than ordinary WiFi signals. By #analyzing how #radio waves bounce around a room, #researchers can effectively “see” and #recognize individuals — even if they are not carrying a #device and even if their #phone is turned off.

#science #software #hardware #wave #signal #identification #people #bigbrother #surveillance #tracking #problem #research #news

Ordinary WiFi can now identify people with near perfect accuracy

Scientists in Germany have demonstrated a startling new form of surveillance: identifying people using nothing more than ordinary WiFi signals. By analyzing how radio waves bounce around a room, researchers can effectively “see” and recognize individuals — even if they are not carrying a device and even if their phone is turned off.

ScienceDaily

Identifying People Using Wi-Fi Routers

Not identifying people based on their use of Wi-Fi routers, but identifying people using Wi-Fi signa... https://www.schneier.com/blog/archives/2026/05/identifying-people-using-wi-fi-routers.html

#identification #Uncategorized #surveillance #privacy #Wi-Fi

Identifying People Using Wi-Fi Routers - Schneier on Security

Not identifying people based on their use of Wi-Fi routers, but identifying people using Wi-Fi signals. This is accomplished through what is known as WiFi sensing, or the use of WiFi signals to infer information about a physical environment. When radio signals like WiFi travel through a space, they interact with the objects and people around them. Those signals can be reflected, scattered, or absorbed. By analyzing how the signal is expected to behave compared with how it is actually received, researchers can infer details about the surrounding environment...

Schneier on Security

Saw this insect while taking a walk outside and I don't think I know what it is. Maybe a spider? I wonder if someone knows the name.

It was moving very quickly between the rocks, then it froze in place and allowed to take a pic.

#insect #identification #enthomology #insects

Web services complain about overbearing government censorship, but refuse to offer parental controls that address the problems that trigger "for the children" censorship demands.

12-13 is not an adult. But the parental controls basically disappear at that age and preteens/teens are exposed to full 18+ adult content.

#censorship #parenting #parents #children #forthechildren #identification

Illustration by Samuel G. Szabó, from Rogues, A Study of Characters (1857).

Source: The Metropolitan Museum

https://pdimagearchive.org/images/74c438f2-2c95-403a-b8b0-77eb8926ad1a

#portraiture #character #portraits #mugshots #criminals #identification #faces #crime #art #publicdomain