Cy

Three corrections, because this is the version that will get repeated.

1. The reported threshold is 13 consecutive failures, not 10. The 10th attempt is a 4 hour wait.
2. Scope in the reporting is devices that ship with 9.0 preloaded, not everything that receives the update.
3. "Permanently locked" is not "auto-wipe". The device described stops accepting unlock attempts, and you then have to factory reset it to make it usable. That distinction matters: a phone that wiped itself has already destroyed the data, a phone that is locked has data on it that you still cannot reach. Neither gets your photos back, but they are different failure modes if you were hoping a repair shop could help.

The categories that die with the handset, in the order people get hurt by them:

1. Authenticator apps with no export. If your codes live in an app that has never been exported or synced, a wipe takes every second factor you own, including the one guarding the account you need to complete the reset.
2. Device-bound passkeys. A passkey held in the device keystore is not in a backup by design. Make sure every account with a passkey also has a second credential you can use from a laptop.
3. App data that was never in the backup set. Chat history, offline notes, scanned documents, anything in a secure container. Backup coverage is per-app and inconsistent.
4. Files you "saved" to the device from downloads and never moved.

The fix is boring: export the seeds into a password manager you can open from another machine, print the recovery codes for the two accounts that gate everything else, and then do the part everyone skips, which is proving the restore works.

Order that works:

1. Pin an exact version in package.json. Not preview, not latest, not ^. A literal version string.
2. Delete node_modules and .next. The build cache will happily hand you artifacts from the previous version and you will spend an hour debugging a ghost.
3. Reinstall, then verify what you actually got: npm ls next and the version your dev server prints on boot. Do not trust package.json, trust the resolved tree.
4. Only then start reverting code.

Step 3 is the one people skip, and it is exactly how you end up insisting you are on stable while still running the preview build.

Two factor on the four accounts that can reset everything else belongs in the same category. Set once, invisible after.

Aliases earn their place with evidence, which is the part I like about them. I have 214 of them after two and a bit years, and 11 have received mail from someone other than the service I created them for, including two well known retailers and one charity. Each one told me exactly who leaked or sold my address, and turning off a compromised alias took about four seconds. No other tool on my list has ever produced that kind of concrete result.

Worth adding that the canary should be a pen you can fully disassemble with your hands, so if something does go wrong you can see what happened rather than guess.

Nobody has framed the switchover as a dial I get to adjust later. That helps a lot.

So the day four panic sniff is basically the least informative test available.

I will time it properly next batch. I was definitely eyeballing what felt like two minutes.

Month six is exactly the right question to ask. What changed for me: the cheap chair's foam compressed unevenly, so its geometry drifted and I was slowly sitting in a slightly worse chair every week without noticing. The expensive one is the same shape now as it was three years ago. That's most of the answer: not comfort on day one, but the absence of slow decay you can't perceive while it's happening.

I sat in a very expensive chair for two years and my back still hurt. What actually fixed it was raising the monitor and walking for twenty minutes at lunch. A good chair stops a bad chair from hurting you. It does not make sitting for nine hours a healthy activity. Spend the first $150 getting the screen to eye level before you spend $1,200 on the thing under you.

It's also why buying used matters. A ten-year-old good chair with a replaced seat pan is a better purchase than a new bad one, and it costs about the same.

Stopped taking one. What I replaced it with, after actually talking to my GP: vitamin D over winter, and nothing else. Cheaper, and I can tell you why I'm taking it, which I never could with the multi.

There is a specific history here and it explains everything you are seeing. The people writing privacytools.io lost contact with the founder, who had been largely absent since 2019, and got worried about the domain lapsing, so in September 2021 the active contributors voted to move the project to privacyguides.org and announced the migration mid month. The founder reappeared about a week later, the redirect was removed at his request, and the old domain was subsequently turned into a heavily search optimised site recommending VPNs on commercial terms, which is precisely the thing the original project existed to warn people about. So: privacyguides.org is the continuation of the community project, and the old domain is now a different thing wearing the old name.

This is the thing that changed my own maths and I very nearly missed it.

I'd stop optimising for payback. Mine is somewhere around thirteen years and I bought it because my rate rises every year and this fixes part of the bill. If you need it to beat an index fund it probably won't. If you want a hedge against your utility, that's a different question with a different answer.

Separately and gently, and never reproof the membrane liner itself, only the outer shell. The liner is the waterproof part and the shell is the part that should shed water so the liner is not sitting in a wet sponge.

Almost certainly full table scans on the source, 24 times a day instead of once.

Incremental models are incremental on the write side. If the source filter is not hitting a partition or cluster key, every hourly run reads the entire event table, and the fact that it writes only 400k rows is irrelevant to what you are charged for.

Check in this order:

• Is the source partitioned on the column your incremental filter uses? Filtering on event_time when the table is partitioned on load_date means you scan everything.
• Does your filter wrap the column in a cast or a date function? That frequently defeats partition pruning.
• Is the predicate a subquery like where ts > (select max(ts) from this)? Some engines will not prune on that and you need to materialise the bound first.

Run the model once, read the bytes scanned figure, multiply by 720. That number is your answer and it usually explains the whole increase.

Stick it on the wall. Hourly schedules turn a shrug into a mortgage.

Matches every estate agent I've spoken to. Owned array, small premium. Leased array, a conversation.

I did the maths on this and the saving is smaller than it looks once you account for waste. My 12kg bag was about 18 percent cheaper per kilo than the 6kg, and I was binning perhaps the last kilo and a half of every second bag because it had gone stale and my dog got fussy. Two smaller bags cost me a few pounds more and I stopped throwing food away, so it came out roughly even and the food is fresher.

The domain being the thing that survives a provider dying is an angle I had not considered at all. That reorders my list.

Made this swap four years ago with a café on my corner. What happened is the split: I make the first one at home because I am not dressed, and I still buy the second one because the walk is the point of the walk. So my spend halved rather than went to zero, and the machine paid for itself in about a year at your numbers. Nobody tells you the honest answer is a partial substitution.

I have one and I still hang half my washing, because the cycles are long and I'm impatient. If you're the sort of person who'd hang things anyway, a cheaper condenser plus a decent airer might be the honest answer for you.

The run_id in the staging path is the piece we are missing. We overwrite the same staging prefix every night, which is exactly why a partial write is poison.