Categories of personal information collected
policies.tinder.com
policies.tinder.com
You're welcome to say what you think is important about an article, but please do so in the comments, where your interpretation will be on a level playing field with everyone else's [2], and where you'll have space to explain how you arrived at your interpretation. Cramming a sensational charge like this into the title is basically a form of trolling.
Titles are by far the biggest influence on threads, so this matters a lot.
[1] https://news.ycombinator.com/newsguidelines.html
[2] https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...
https://news.ycombinator.com/newsguidelines.html
(Not in Tinder's pockets.)
Sometimes, if quickly looking for something read for the moment, I'll only scan the domains.
But the name of the company the article is about is important enough to be part of the title, even if the link happens to go to an article on a domain associated with that company.
If, however, a person wrote a substantive and accurate explanation of how some obscure corporate boilerplate actually masks the selling of personal intelligence tests, that of course would be a fine thing to submit.
This is the foundation of the entire internet as we know it.
I am all for privacy, but I don't think that we get to dictate what other people are allowed to do with "our" data, legitimately obtained through the course of normal business. Observations are our own data, including observations about others.
You don't own your reputation, for instance.
At what point should we draw the line of what’s “[reasonable] observation”, and what’s not?
> Inferences drawn from any of the information identified above to create a profile about you reflecting your preferences, characteristics, psychological trends, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes.
with:
> Vendors and professional services organizations who assist us in relation to the business or commercial purposes laid out herein
Presumably this is a broad enough definition to encompass any buyer who pays Tinder, thereby supporting the commercial purpose of the business.
"Short-term, transient use, including, but not limited to, the contextual customization of ads shown as part of the same interaction"
So, they don't go to Data Brokers Inc and say "I'll sell you an estimate of gnicholas's IQ for $xxx", but they will go to Scams Inc and say "Hey, wanna target ads to people we think are stupid?"
Still, I have a fun fact: at one point in time, Facebook would let you target an ad to “all men who have any of this list of N emails”, and then accept your list of N emails be N-1 women’s emails, and one man’s emails.
Result: direct targeting of a single individual.
Or, in this case: direct querying of a single individual’s attributes.
I imagine tinder might have closed this hole as well, or maybe it never gave advertisers those exact tools. But these advertising tools can leak a lot of data, and the vendor’s incentive is to leak that data while swearing up and down that it’s safe.
As I mention in another comment, the general Privacy Policy includes some very broad language that appears to include selling data to third parties.
Stupid people are easier to manipulate, especially if you continue to commercially bombard them with information coming from all different sources. And if you control all the channels that they see, then they have no alternate reality. Heck, this applies to seemingly smart people also, if they don’t reach out to different sources for a balanced view of information.
This is now becoming very true with ad networks like Google’s ad monopoly. Regardless of what website you visit, the ads all come from the same source.
So now, one use case for this is political manipulation. You can start to target people of a certain IQ range, to get them to think the same way, which can then ultimately coerce them to vote a specific way.
So now, you have a direct pathway, from planting a seed of an idea, to political manipulation, to actual physical reality.
This is now starting to sound like the premise of The Outer Limits.
But hey, morality never stopped aspiring entrepreneurs from making a billion dollars.
In the general Privacy Policy, [1] business purposes includes:
> Develop, display and track content and advertising tailored to your interests on our services and other sites
The "and other sites" seems like it would include selling user data to third parties, at least by my reading (IAAL).
It's very possible they aren't selling data, just sharing it with 3rd parties like AWS, Google Cloud, or whatever vendors they use for data processing / analysis.
But I agree, if they have no intent on selling the data, the wording could be narrowed to make that more clear.
If you sign up for Tinder as a guy, over 30, the premium and gold features are $29.99+, as someone under 27, it becomes 9.99-14.99, monthly before the discount of upfront charging.
Then they say they don't do Elo Score anymore, but I question that, if your profile is rated higher in a geographic location, and then you change location again, it will rank higher and be more apparent (to my own A/B testing.)
Then again the second part is totally my interpretation, it's a fun game, and the API is really annoying.
It's a fun time sink, I really wonder more of what other data collection they do. Imagine being able to export an entire list of users, by geographic location, who own cats (or have a cat present in photo, tensorflow) to CSV and then pivot table it.
Fantastic, scary fantastic.
Don't do this. A friend got banned for deleting account a lot of times.
Also, I don't see any problem in using ELO. Because of skewed gender ratio on dating apps problems exist; but it makes sense to show most profiles in similar normalized ELO ranges. Isn't that how most humans pick their date in online world anyway?
If you want to recreate your account, you need, a new facebook account, but with friends on it, otherwise they know it is a fake one, a new number, a new phones and new pictures. So easy to say that this is impossible
e-sim works, but you can't fall on a cheap sim. But it makes sense, age of facebook account, number of friends, pictures..
I wonder if they checksum/hash pictures.
>it makes sense to show most profiles in similar normalized ELO ranges
Let me highlight (but not explicitly point out, so you may mentally connect the dots yourself) the exact problem with both of these statements:
Suppose the 'logic' of whatever meta-algorithm one implicitly presupposes as behind picking the desiderata for picking the appropriate algorithm to use for the problem as principally sound. Then, by extension WOLG, it NOWADAYS actually makes no sense at all to continue using ELO, because significantly better algorithms have long since come along. Two by now both ancient examples, check the first one for why & how ELO sucks even for its original intended usage, and check the second one for a tremendously improved version:
* https://www.microsoft.com/en-us/research/project/trueskill-r... (2005+)
* https://www.microsoft.com/en-us/research/publication/trueski... (2018) (Citations: https://scholar.google.com/scholar?cites=1017946959272817486...)
Oh and, as one may guess, neither of these examples represents the State of the Art in this sector (Check the citations above for that.). Also, for more papers by the Microsoft Research group working on that project, check here: https://www.microsoft.com/en-us/research/project/trueskill-r...
Now that we've clarified that, I'd like to ask:
Do you still feel sure whether this seems like an appropriate class of algorithms to leverage for dating? Assuming of course that users want to find partners, as opposed to good opponents. Albeit:
One might speculate algorithmically supplying well-matching opponents instead of potential partners, while (mis)labeling them as more potentially likely compatible than by chance partners would make for a tremendously better—albeit highly amoral—repeat business model on part of the platforms, at least in the relative short-term, wouldn't you say?
> Do you still feel sure whether this seems like an appropriate class of algorithms to leverage for dating? Assuming of course that users want to find partners, as opposed to good opponents.
Imagine there being `n` heterosexual males and `n` heterosexual females on a dating platform. If all have to be paired as couples and if we can rank them by their 'popularity'. Don't you think most at the first glance would be more comfortable picking someone about their rating or higher? Just look at the skew of likes people get depending on their attractiveness from old OkCupid blogs.
In dating apps, the rating most likely comes from the person's looks. Does that mean they are good matches? No way of knowing this. But does that mean they are more likely to swipe on each other? Probably yes. We can show them people at random but that doesn't mean that they will swipe on someone whom they don't consider to be at least in the same ballpark as them on attractiveness.
The only way we can get better potential partners is if we have a lot of potential data about every user not limited to just looks. Also, even in that case if the other person is not on the same scale on attractiveness, the other person will have to take a leap of faith on whatever matching system they have.(which if you go by social experiments, people don't do)
Considering how much data FB has about users through their platforms, they are the ones who truly can come close to matching people on common interests but I am not sure how successful even their dating venture has been.
Jokes aside, I don’t think the people using Tinder care at all, or can be convinced why they should care. I’m curious, because it never comes up on HN, but are there serious competitors to things like Tinder that are more transparent about how they operate? I feel like all the money is in hiding the details of your “love algorithm” because it’s complete BS, makes it easier to sell as magic if you can’t see the man behind the curtain.
https://www.reddit.com/r/justneckbeardthings/comments/2vkeze...
https://miro.medium.com/max/2100/1*lDSkAjF1958TpEafxuJsLg.jp...
Yikes, no thanks
Gotta be a CLI though
So a sausage fest?
Does not look like a place that will offer good matches to the majority of people (and for those where that would work, they wouldn't probably need it)
So a dating app?
> GitHub, the world's leading repository of open-source code, surveyed 5,500 open source users and developers from around the world on a range of topics. It also asked for demographic information. And it was informative. Of that randomly selected cohort, a full 95 percent of respondents were male. Only three percent identified as female and one percent as non-binary.
https://www.wired.com/2017/06/diversity-open-source-even-wor...
Though really it might not be as bad as all that, if you did it Sadie Hawkins style.
Let ordinary women know of a place they can have their pick of eligible men making above-median incomes and probably enough of them would show up to justify the men in creating a profile on the thing.
Well, that’s exactly the problem I see with surveys in general: people read the above statement and automatically parse it as „95 percent of GitHub users are male“.
No, they aren’t. Or maybe they are. We don’t know. What we know is the percentage of respondents who identified as male. We know nothing - not. one. thing. - about how many % of GitHub users are male. What if 80% of female users simply didn’t bother to respond to the survey?
Ridiculous. We know the survey has error bars. Maybe they're large. But it's still information.
> What if 80% of female users simply didn’t bother to respond to the survey?
Then Github users would still be at least 84% male.
1. You both must be local, which means you have opportunities to hang out and see each other in a wider context than long-distance makes possible.
2. Assuming you pick from within your social circle and not random bar hookups, you probably have at least a few friends in common who can vet the match.
3. Corollary to 2, if you're single and lucky, sometimes friends might play matchmaker, and mutual friends are the best "love algorithm" because they actually know you and give a shit.
This is of course on top of avoiding all the dark patterns the dating monopoly inflicts upon its users.
There's multiple upsides: you don't become another slab of beef in the meat market. You don't get profiled and that profile sold. You can't be a target for mockery on Reddit/FB/etc.
I mean, I get it, sex is fun. But it's never required an app.
"We do not sell your personal information so no opt-out choice is necessary. What this means is that we do not sell, rent, release, disclose, disseminate, make available, transfer, or otherwise communicate in any way your personal information to another company for monetary or other valuable consideration'
I'm.not sure why the title says they sell it if the document specifically say they don't.
so technically they could share the data for a jar of horse urine?
But I was mostly making a reference to this Carlin bit: https://www.youtube.com/watch?v=8rh6qqsmxNs
but wouldn't surprise me one bit
The dating app market is filled with anti competitive practices and the dating app market objective is opposite to the objective of its paying users.
But you will never see anyone who has worked at Tinder telling the world what is going on inside this company, not even anonymously, which is weird, how can Tinder buy the silence of its employees ?
Also, while Tinder's objective is opposite of its paying users. It doesn't mean they have to enable any special thing for it.
It's like 6 messages to text and then another 6 on text/whatsapp to figure out if the logistics for a date will work.
Maybe 15-20% actually make it to a date from a number in tinder but it requires the least investment on my part.
Even if all users read the fine print, this would probably dissuade <1% of users.
Wish there was a "standard" way to read and view TOS, privacy policies etc... It would start with boiler plate and what is typically expected. It would highlight deviations from the norm. and it would be in plain english and in a large point font.
GDPR, pretty much
And HN delivers :)
"Quick! Call down to People Ops -- lets expand our D&I business operation. Put out a presser on how we are donating to the BIPOC project!"