A good looking kid but he is a straight type fag, he think he cool cause everyone loves him but he ain’t cool
by 8—> December 5, 2017
Get the logan baright mug.A very beautiful woman who does doubt herself from time to time, but is always known to show and spread her joy to others around her. She is very flexible as well and enjoys showing off her special gift, doing the splits, literally fucking everywhere. Natalie has many interesting nicknames for her close friends ranging in Karen, Sniffy, CC, Motherpasta, and many more. She does not like the color pink. If your name is along the lines of Neal, she already hates you. A common call preformed by Natalie is the exclusive "aggressive hum" that occurs when high levels of emotion are shown/given to her at once.
Natalie Balogh is going to kill me if she found out I made an Urban Dictionary definition of her XD.
by Brendialtionational Barriettai January 29, 2019
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by Pebbles_by_the_river_ July 3, 2021
Get the _amity._.blight_ 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 multifandomhomosexual January 9, 2026
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