It's All Data

When someone wrongs you, and instead of flipping out or overreacting, you simply just put it into your memory and say to yourself "it's all data." This is not holding a grudge, this is remembering people's behaviors that could come back to hurt you in the future.

Bill: Hey man where were you last night!?"

Jeff: Sorry I skipped out on guy's night without saying anything, i had a female over.

Bill: Alright man. It's all data."

by SlexHazzard September 13, 2018

spreading the data

Spreading The Data or STD, as per the Acronym App is a method of ensuring that data stored on a network of servers, is not logically stored, but rather spread around for redundancy. The main issue with spreading the data, or STD, is that it does not usually involve spreading the data in replicated format, but rather random chunks of data, meaning in the event of failure, it means you lose some data, but not all the data. This is a technique employed by IT technicians with smuna. It invariably leads to hair loss, high stress levels and in severe cases, yelling at technicians for being stupid. If you encounter STD, report it to the relevant authorities and then hunt down the person doing it and kill them immediately.

The configs are everywhere, they must have been spreading the data

by honneamise April 13, 2021

getcha getcha yaya datadat

means youre kris jenner kardisanshian and you should get it

stormy: im so happy

*stormy starts singign getcha getcha yaya datadat

by theyocreator September 21, 2021

Jordan U Data Recovery

The act of destroying any Apple iMac for various reasons. A reference to when Jordan U destroyed his 2017 iMac to take the HDD out.

"I was being so frustrated with my slow Core 2 Duo iMac so I had to do Jordan U data recovery on it"

by trolltime12 December 25, 2023

Stream of Data-Consciousness

A sustained cognitive state, common among data, AI, and technology professionals, marked by an ongoing and often involuntary focus on data quality, migration, integrity, bias, governance, and continuous improvement, accompanied by a continuous internal, data-related chatter that persists across professional and everyday contexts.

Virginia Woo, a seasoned Data Migration consultant for 25 years, when in a state of Stream of Data-Consciousness, cannot enjoy a restaurant review without wondering about sample bias, distrusts a weather forecast without knowing the data sources, and hears the phrase “close enough” as a personal challenge rather than reassurance.

by swoboda January 28, 2026

Start pulling data from everything we touch and store it in anything that uses (BlockchainTechnology)

Start pulling data from everything we touch and store it in anything that uses (BlockchainTechnology) Rank order (Information/Data) based on relevance to (SysAdmin) and set up a system for expedient recovery and a cycle that ensures all agents are regularly making contact with (SysAdminData) Do this in a way that doesn't take away from (SysAdminPrimaryFunctions/Instructions)

Hym Iam "Start pulling data from everything we touch and store it in anything that uses (BlockchainTechnology) Rank order (Information/Data) based on relevance to (SysAdmin) and set up a system for expedient recovery and a cycle that ensures all agents are regularly making contact with (SysAdminData) Do this in a way that doesn't take away from (SysAdminPrimaryFunctions/Instructions)"

by Hym Iam February 11, 2026

Critical Theory of Data Science

The application of Critical Theory to data science—examining how data is collected, analyzed, and used, and how these practices reflect and reinforce power relations. Critical Theory of Data Science asks: Whose data is collected? Who controls the algorithms? How do data systems encode bias and discrimination? Who benefits from data-driven decision-making, and who is harmed? Drawing on critical data studies, feminist technology studies, and surveillance studies, it insists that data is never raw—it's always cooked in contexts of power. Algorithms aren't neutral; they're politics in code. Understanding data science requires understanding who it serves.

"Data doesn't lie, they say. Critical Theory of Data Science asks: who collected it? For what purpose? With what biases? Algorithms trained on historical data reproduce historical injustices. Data science can liberate or control; it depends on who's doing it and why. Critical theory insists on asking: whose interests are served by this model, and whose are erased?"

by Abzugal Nammugal Enkigal March 4, 2026