Unexpected #Etymology

Words you wouldn't guess are etymologically linked.

An ongoing, continually updated thread 👇🏻

Medicine and remedy both come from the Latin verb medeor, meaning to heal.

Medicine comes from the Old French medecine, from the Latin medicina meaning medicine.

Remedy comes from the Old French remede, from the Latin remedium.

https://t.co/09BQ4avjOo
Feminism, fawn and fetus both come from the PIE root *dʰeh₁(y)-, meaning to nurse or suckle.

https://t.co/POZwnKbSom
Pine (tree) & Piñata (papier-mâché container) both come from the Latin pinus—meaning pine.

Piñata (Spanish), came from piña meaning pineapple, as the paper-covered box resembles one. Piña comes from the Latin pinea meaning pinecone (derived from pinus).

https://t.co/L8LGcb4NcC
Whiskey and wash both come from the Proto-Indo-Euro root meaning "water; wet."

Whiskey (Irish uisce beatha & Scottish uisge-beatha) literally means "water of life."

Wash cames from the Middle English weschen, meaning "to wash."

https://t.co/GflKmpx8gD

https://t.co/W86lE76jIg
Text and textile both come from the Latin texo, meaning to weave.

Textile: borrowed from Latin textile (“woven”), from texō (“weave”).

Text: Medieval Latin textus (“the Scriptures, text, treatise”), from Latin textus (“style or texture of a work”)

https://t.co/mATf45QsD3
Rat and erode both come from the PIE root *reh₁d-, meaning to scrape, scratch or gnaw.

https://t.co/XQy0Rl37UM

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.