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
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One of the most hottest, gorgeous, handsome, talented, athletic, and cutest bl actor in Thailand. Many known him as "Sarawat" from 2gether the series" acting together with Win Metawin as "Tine".
"A man like Bright (sarawat) is all i need."
"If I won't have my own Bright Vachirawit, better be single for the rest of my life."
"If I won't have my own Bright Vachirawit, better be single for the rest of my life."
by ghxlxx_m June 7, 2021
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Get the Dr Bright mug.A kid born with naturally superhero’s like Superman such as super human strength,speed and durability he also has heat vision.But due to his life and the people around him he is doing some evil
by YoungBoy_Nico May 16, 2019
Get the brightburn mug.BrightWin is a couple in Thailand that further amplified the popularity and significance of BoysLove / 'Y' series around the globe. The huge success of their first BL series '2gether: The Series' along with the perfect timing of airing (the beginning of lockdowns due to pandemic) created a consequential effect on the BL industry both in Thailand and in other asian countries. They started a domino effect / chain reaction of releases of new BL series especially in countries like the Philippines, Japan, China and more.
BrightWin is real.
by LuvWinBright October 19, 2020
Get the BrightWin mug.Someone slow, dimwitted or stupid - another way of saying "Not the sharpest knife in the drawer". Also, someone who stands out in a crowd as being particularly unintelligent.
Marisa: Why does Eric even bother talking in class - he has no idea what he's talking about.
Michael: What do you expect? I mean he's not the brightest bulb in the chandelier!
Michael: What do you expect? I mean he's not the brightest bulb in the chandelier!
by SpencerDuhm March 15, 2009
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