https://www.climbcation.com/ a site to help you come up with good climbing trip ideas where you filter based on climbing type, time of year, location, and your climbing abilities.
Does my wife also get this so she can be on the other side? Nevermind... I don't need the sad reality of her trying to swipe left and telling me she thinks the app is broken.
how do you and others get past all the permissions that onesec needs? They say everything remains on device; however, it's a closed source application so there's not really any way to confirm that besides looking at the packets that are going out of your phone.
I don't have this app installed, but I would use the App Privacy Report in settings to inspect the App Network Activity to see what domains it connects to and how often. While not conclusive, I think it could provide some level of insight to whether it's handing off your information or not. Ideally it wouldn't make any network connections.
this seems like an interesting idea I'd like to try but all the permissions it needs is terrifying to me... I understand why it needs them but there's no way for me to verify that they aren't doing anything funny with that access.
i'd disagree heavily with that... let's say you have an expense of an insurance policy that covers you for the next 10 years. You're paying for 10 years of service, that should be amortized over 10 years.
Yeah but if the insurance policy requires me to pay upfront, I'm out the entire ten years' worth of insurance premium. Amortization forces it to be divorced from actual cash flow.
Amortisation is for accounting/tax purposes. A large negative on the first year does not make sense. It should be divorced from actual cash flow, because cash flow doesn’t tell you the full picture of the company, while assets/profits do
The lossy timeline solution basically means you skip updating the feed for some people who are above the number of reasonable followers. I get that
Seeing them get 96% improvements is insane, does that mean they have a ton of users following an unreasonable number of people or do they just have a very low number for reasonable followers. I doubt it's the latter since that would mean a lot of people would be missing updates.
How is it possible to get such massive improvements when you're only skipping a presumably small % of people per new post?
EDIT: nvm, I rethought about it, the issue is that a single user with millions of follows will constantly be written to which will slow down the fanout service when a celebrity makes a post since you're going through many db pages.
When a system gets "overloaded", typically it enters exponential degradation of performance state, i.e. performs self ddos.
> Seeing them get 96% improvements is insane
TFA is talking about P99 tail latencies. It does not sound too insane to reduce tail latencies by extraordinary margins. Remember, it's just reshaping of latency distribution. In this case pathological cases get dropped.
> does that mean they have a ton of users following an unreasonable number of people
Look at the accounts of OnlyFans models, crypto influencers, etc. They follow thousands or even tens of thousands of accounts in the hope that we will follow them in return.
I don't see that accommodating this behavior is prosocial or technically desirable.
Can you think of a use case?
All sorts of bots want this sort of access, but whether there are legitimate reasons to grant it to them on a non-sharded basis is another question since a lot of these queries do not scale resources with O(n) even on a centralized server architecture.
Given enough time, you'll end up with a lot of legitimate users who follow a huge number of accounts but rarely interact with more than a handful, similar to how many long-time YouTubers have a very high subscriber:viewer ratio (that is, they have way more subscribers than you would expect given their average view count), and there's nothing inherently suspicious about it. People lose access to their accounts, make new accounts, die, get bored, or otherwise stop watching the content but never bother unsubscribing because the algorithm recognized this and stopped recommending the channel's uploads to them.
Bluesky doesn't have this problem yet because it's so young, so the outsized follow counts are mostly going to be from doomscrollers and outright malicious users, but even if it was exclusively malicious users, there is no perfect algorithm to identify them, much less do so before they start causing performance problems. Under those constraints, it makes sense to limit the potential blast radius and keep the site more usable for everyone.
> Generally, this can be dealt with via policy and moderation to prevent abusive users from causing outsized load on systems, but these processes take time and can be imperfect.
So it’s a case of the engineers accepting that, however hard they try to moderate, these sorts of cases will crop up and they may as well design their infrastructure to handle them.
You can do it natively inside ublock origin if you don't want to install an extra extension (often the case for a surprising number of simple extensions, actually).
I used to block it myself with my own filter, but after YouTube changed things up and broke it I've just been using someone else's filterlist and it works the same.
casualties refers to injuries as well as deaths. I think the citation they were looking for was for the ~2800 number. I don't think it's reasonable to say that 6/12 killed were civilians, so half of all casualties were civilian.
We dont know until we get more reports, like you said, it could be higher... but it could also be lower.
This is a dumb position though because all logic would suggest the two ratios are proportional. Civilians are not significantly more likely to die of their injuries than non-civilians. While 12 is a bit of a small sample, it's not unreasonably small to make extrapolations.
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