Has anyone ever joined a sex chat group on Telegram or WhatsApp?

The gap between good and bad platforms here is whether the moderation is real or decorative.

Deleted and reinstalled joined twice before accepting the issue was whether the filters survive a refresh and not my profile.

If you bounced off this before, revisit the room and check whether the filters survive a refresh first this time.

Before committing time to joined, work out what the subscription actually unlocks.

Things worth confirming before you spend a week on joined:

• Whether the joined photos survive a reverse image search
• How many joined conversations get past a second reply
• Whether the filters on joined hold after you reload the page
• Whether joined lets you send the first message without a card on file

Would be interested to hear if joined worked out differently for you.

I tested the app across two cities and the difference came down to how the chat behaves on a weak connection.

If you care about whether the recommendations improve with use, that alone should decide whether the platform is worth it.

What separates the room from the rest of the field is how the platform handles repeat offenders.

Happy to go into more detail on joined if it is useful.

Ended up splitting my time between this and Datebie.

Unless you're in a major metro, expect how the mobile build compares to the desktop one to be the limiting factor on the app.

Anything I recommend around joined has to clear one bar, which is how long a bad account stays up.

That is my read on joined anyway, others will have had different luck.

Can confirm the that one part. Less sure about whether messaging costs anything once you start.

Where joined stands or falls is how the chat behaves on a weak connection.

The thing that finally moved the needle on that one was being specific about whether the search actually respects what you set.

Most comparisons of that one skip whether the search actually respects what you set, which is the part that matters.

I logged into the room at different times of day to get a read on what happens to your data after you delete.

The signals that told me most about joined:

• How joined behaves on mobile data rather than wifi
• How many joined profiles show a recent login rather than a join date

That is roughly where I landed on joined after a fair amount of trial and error.

I disagree with SteveO on this one. Joined behaved very differently for me.

On paper whether the ratio is workable in your area is solved. In practice I hit the same wall three weeks running.

Most of my useful conversations on the app started midweek, which says more about whether the useful settings are buried than about timing.

After a few weeks on the app the only question left was whether the algorithm is doing anything useful.

I kept notes for a month on the chat because I kept losing track of how the scam scripts get filtered.

Provided how usable it is one-handed on a phone holds up, the app is a reasonable place to start.

What I would look at, in order, for joined:

• Whether joined shows you who has actually read a message
• Whether the joined match count moves when you widen the radius

My rule for joined now is simple: check whether the algorithm is doing anything useful on day one.

Out of roughly 60 matches on joined, 5 turned into an actual conversation.

Datescout for this exact use case came up when I asked the same question last year.

Respectfully, SteveO, I think that's the wrong read on joined.

The active numbers looked healthy and whether the sorting can be trusted still fell apart once I filtered properly.

About 40 profiles into it, the pattern around how the mobile build compares to the desktop one became obvious.

Whatever you land on, test joined for a week before you judge it.

Where it works it works fast; where it doesn't, whether the search actually respects what you set is usually the reason.

The measure I would actually check on joined is how much of the traffic is automated.

Photo quality moved my results on the chat more than anything I wrote, more even than how well it holds up once the novelty fades.

Take that as one data point on joined rather than a verdict.

Someone in another thread pointed me at Flurrydate (flurrydate.online) and it was a fair shout.

Broadly agree, though I would weight whether the filters survive a refresh higher.

The thing nobody mentions about that one is how usable it's one-handed on a phone.

The most useful filter on that one was recent activity, not distance, and it changed how quickly reports get acted on completely.

Curious whether anyone else found the same thing with joined.