There was an error last night and we're not sure what happened; let's ask Mike to look at the logs, he's a real data hound.
by MultiTech Guru January 9, 2019
Get the Data Hound mug.When you believe that the data your have in your computer system is more messed up than the data in everyone else system.
I've got Data Guilt. I'm embarrassed every time I run a report. I'm afraid to ask my team to clean up our Salesforce - our data is so much worse than the customer service system's data.
by malsmith June 12, 2015
Get the Data Guilt mug.Thick data is qualitative information that provides insights into the everyday emotional lives of consumers. It goes beyond big data to explain why consumers have certain preferences, the reasons they behave the way they do, why certain trends stick and so on.
Data scientist 1: so what did u do this weekend?
Data scientist 2: dude, I've been running some regressions on this data set. My dataset so thick bro! Wanna see? (Pulls out laptop)
Data scientist 1: dayum son, dat data thicc tho! I'd run regressions on dat all night.
Data scientist 2: I actually did. My laptop has slow processing speed. It takes several hours to process thick data.
Data scientist 2: dude, I've been running some regressions on this data set. My dataset so thick bro! Wanna see? (Pulls out laptop)
Data scientist 1: dayum son, dat data thicc tho! I'd run regressions on dat all night.
Data scientist 2: I actually did. My laptop has slow processing speed. It takes several hours to process thick data.
by benyafox January 11, 2020
Get the Thick data mug.An entity (i.e. person or machine) which uses data they do not have permission to use, in a way that is malicious and/or exploitative.
by pseudonick5000 July 9, 2018
Get the Data Bandit mug.also Data-blight
The systemic propagation and entrenchment of inaccurate or corrupted personal data across interconnected digital or bureaucratic ecosystems, resulting in material, social, or psychological harm to the affected individual.
In essence, data blight describes how a falsehood, once digitized and networked, acquires bureaucratic immortality. It exposes the fragility of “truth” in algorithmic governance, where records outrank lived reality.
This phenomenon occurs when erroneous information originating in one data source is automatically replicated, shared, or revalidated by other institutions—often through automated data exchange, identity verification, or algorithmic matching—creating a self-reinforcing web of falsehoods. Like biological blight, it spreads through interdependence, exploiting weak governance, poor data hygiene, and the absence of effective correction mechanisms.
Example: An error in one government database—such as misrecording a single person as a married cohabitant—can cascade through banking, taxation, and utilities systems, effectively rewriting the individual’s administrative identity and generating real-world consequences including denial of services, legal misclassification, or reputational harm.
The systemic propagation and entrenchment of inaccurate or corrupted personal data across interconnected digital or bureaucratic ecosystems, resulting in material, social, or psychological harm to the affected individual.
In essence, data blight describes how a falsehood, once digitized and networked, acquires bureaucratic immortality. It exposes the fragility of “truth” in algorithmic governance, where records outrank lived reality.
This phenomenon occurs when erroneous information originating in one data source is automatically replicated, shared, or revalidated by other institutions—often through automated data exchange, identity verification, or algorithmic matching—creating a self-reinforcing web of falsehoods. Like biological blight, it spreads through interdependence, exploiting weak governance, poor data hygiene, and the absence of effective correction mechanisms.
Example: An error in one government database—such as misrecording a single person as a married cohabitant—can cascade through banking, taxation, and utilities systems, effectively rewriting the individual’s administrative identity and generating real-world consequences including denial of services, legal misclassification, or reputational harm.
That error in the Electoral Register has come up again. I'm data blighted and my bank has frozen my accounts.
by APedant October 28, 2025
Get the Data Blight mug.by Tickled Pink In Texas January 5, 2022
Get the data eater mug.It follows from the POWER H0LE , as illustrate 625.62.POWER.IMPACT.25.H0LE.RIM - FACE
Data directly from phrase RIMJOB DATA.315
The SUMMATION of also the BUTT VALUE plus an EQUALIZER.
You can teach this by SYMPHONIC-CONGRUENCE.671
Data directly from phrase RIMJOB DATA.315
The SUMMATION of also the BUTT VALUE plus an EQUALIZER.
You can teach this by SYMPHONIC-CONGRUENCE.671
An example of RIMJOB DATA is EAT AND CHEW POOP REAL GOOD.625
Here is the direct RIMJOB DATA.315 BIG POO POO.MODERN SCAT.625
THE BUTT VALUE is the RIM JOB DATA POWER H0LE IG.625 , wow close to SAUNDER GERUND.
FROM THE SYMPHONIC-CONRUENCE -B.625 you can get the RIMJOB DATA as the B word is either ADDED or SUBTRACTED , as if it exceeds the FIXED VALUE this case 625 it is SUBTRACTED and ADDED if it is under in this case 625. ( DO YOU HAVE ANY IDEA HOW INCREDIBLE THIS EVENT THAT HAPPENED has solidified the definition of SYMPHONIC-CONGRUENCE as the RIMJOB DATA from the POWER H0LE is PERFECT just EXCEDDING B which is comparable to the - I H0LE -B ...X
Here is the direct RIMJOB DATA.315 BIG POO POO.MODERN SCAT.625
THE BUTT VALUE is the RIM JOB DATA POWER H0LE IG.625 , wow close to SAUNDER GERUND.
FROM THE SYMPHONIC-CONRUENCE -B.625 you can get the RIMJOB DATA as the B word is either ADDED or SUBTRACTED , as if it exceeds the FIXED VALUE this case 625 it is SUBTRACTED and ADDED if it is under in this case 625. ( DO YOU HAVE ANY IDEA HOW INCREDIBLE THIS EVENT THAT HAPPENED has solidified the definition of SYMPHONIC-CONGRUENCE as the RIMJOB DATA from the POWER H0LE is PERFECT just EXCEDDING B which is comparable to the - I H0LE -B ...X
by ELITE INSERT May 5, 2021
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