this post was submitted on 13 Sep 2023
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Lyft is introducing a new feature that lets women and non-binary riders choose a preference to match with drivers of the same gender.

The ride-hailing company said it was a “highly requested feature” in a blog post Tuesday, saying the new feature allows women and non-binary people to “feel that much more confident” in using Lyft and also hopefully encourage more women to sign up to be drivers to access its “flexible earning opportunities.”

The service, called “Women+ Connect,” is rolling out in the coming months. Riders can turn on the option in the Lyft app, however the company warns that it’s not a guarantee that they’ll be matched with a women or non-binary person if one of those people aren’t nearby. Both the riders and drivers will need to opt-in to the feature for it work and riders must chose a gender for it to work.

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[–] Cynoid@lemm.ee 10 points 1 year ago

I don't doubt you had terrible experiences related to sexual harassment, and I'm sorry for you. Nobody deserve this.

But don't try to muddle the issue here. You have been attacked by people. And you decided that the pertinent group to understand these attacks is their gender, so we need to differentiate on this basis. You could have analyzed it along education level, wealth, apparent race, apparent religion, social persona, zodiacal type, car brand, profession, haircut, or anything else.

But you chose to judge the risk level of people based on their gender. Because you think that, for some reason, you have a much clearer perspective than other people you know litterally nothing about but their gender. It is the exact same thing that makes people discriminate others about the color of their skin, or wealth, or any of the illegal type of discrimination. You are using the same logic, and by extension, you are legitimazing it. There's a reason discrimination laws do a blanket ban of this kind of thing, and not "some genders/races/others are more protected than others" : it's because every use of every kind of this arbitrary categorization strengthen every other.