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edejong commented on Obsidian Note Codes   ezhik.jp/obsidian/note-co... · Posted by u/surprisetalk
edejong · 3 months ago
The OP may find the Wikipedia article on the birthday paradox helpful.
edejong commented on The EU could be scanning your chats by October 2025   techradar.com/computing/c... · Posted by u/saubeidl
tobyhinloopen · 5 months ago
I just don't get it - criminals will just continue to use "real" encryption. Why are some of these people so obsessed with reading everyone's chats?
edejong · 5 months ago
Crowd control, psyops, trend analysis. EU is quickly becoming authoritarian and the change is instigated by the sitting parties.
edejong commented on A kernel developer plays with Home Assistant   lwn.net/SubscriberLink/10... · Posted by u/pabs3
KillenBoek · 7 months ago
Just wondering why anyone would go through the hassle of installing home assistant on Linux when the fantastic hassOS exists which will run perfectly virtualized.
edejong · 7 months ago
Because we want to run more than just Home Assistant on the same OS? Because traditionally OS and application layers were separated? Because we trust mature Linux distros more when it comes to LTS and security patches? Because we already know our way around Debian/Ubuntu/Nix/etc.?
edejong commented on Creating Bluey: Tales from the Art Director   substack.com/home/post/p-... · Posted by u/cfcfcf
aikinai · 8 months ago
Your perspective of “popular” is incredibly far off. Popular among people in your circle of socioeconomics and interests is not that same as popular among the general population.
edejong · 8 months ago
Your position is indeed supported by the data presented here: https://ourworldindata.org/rise-of-social-media
edejong commented on Chroma: Ubisoft's internal tool used to simulate color-blindness   github.com/ubisoft/Chroma... · Posted by u/gm678
itishappy · 8 months ago
Boosting contrast won't help you if you can't tell the difference, so you actually want to shift colors away from the ambiguous axis. This necessarily has the effect of removing certain colors.
edejong · 8 months ago
Not exactly. It’s not that I can’t see the colors, I just need more contrast to pick up red or green. A grayish green looks the same as plain gray to me. A small bright green dot? Might as well be gray or brown. But a large, solid area of bright green or red? No problem at all.
edejong commented on Nokia's internal presentation after iPhone was launched (2007) [pdf]   nokia-apple-iphone-was-la... · Posted by u/late
criticalfault · a year ago
I think we can see the same thing happening today.

BYD+CATL are the new iphone and other manufacturers are Symbian, Motorola and Sony Ericsson

VW, Toyota and friends cannot change fast enough. They should have started with big battery investments 10-15y ago and RnDing then, not now when Market is flooded.

edejong · a year ago
No, these are not disruptors. Substantial incremental improvements, but part of the larger battle.
edejong commented on Nokia's internal presentation after iPhone was launched (2007) [pdf]   nokia-apple-iphone-was-la... · Posted by u/late
edejong · a year ago
"Even though Steve Jobs emphasised iPhone superiority to "Buttons", it is to be expected that the consumer QWERTY category will continue to succeed."

Their key mistake.

edejong commented on The reproducibility crisis and other problems in science: John Ioannidis [video]   youtube.com/watch?v=vY9mG... · Posted by u/domofutu
cempaka · a year ago
It's funny that the wildly overestimated IFRs like 3.4%, which were taken as gospel in the early days of the pandemic and drove the actual policy of sweeping shutdowns of schools, preventive medical care, and the economy at large -- a totally experimental and unprecedented measure with no empirical evidence whatsoever to demonstrate the benefits would outweigh the costs -- are not subjected to this same label of "hubris".

Iaonnidis's estimates of IFR in the 0.1% to 0.2% range were much closer to the mark.

edejong · a year ago
Early research always had 1.0% in its confidence intervals, which is most likely the right IFR during the first phases.

The 0.1%-0.2% was just bad science, taking medians over countries with lagging statistics reports.

Where did you find 3.4%? Isn’t that an upper bound?

edejong commented on How I configure my Git identities   benji.dog/articles/git-co... · Posted by u/8organicbits
montroser · a year ago
I used to work at a startup with a character who would set his identity to be random fairytale-sounding nonsense, changing every day. So his commits on Monday would be attributed to Mr. Bunnymann, and Tuesday would be Doctor Funtime, etc.

It was super unhelpful when trying to do version control forensics. But if I'm being generous, I think maybe he was trying to remind everyone that anyone can put anything in their identity config, and we shouldn't trust whatever is in there for all that much.

edejong · a year ago
People paid him for such nonsense?
edejong commented on Get me out of data hell   ludic.mataroa.blog/blog/g... · Posted by u/pavel_lishin
jauntywundrkind · a year ago
The observability world still regards itself as a system for monitoring, but reading (and sometimes seeing) how these systems just go so bad continues to drive a conviction that perhaps their strategies and tools should become bigger. That they should converge with business pipines.

We shouldn't just have wide events/big spans emitted... We should have those spans drive the pipeline. Rather than observability being a passive monitoring system, if we write code that reacts to events we are capturing, then we shuffle towards event sourcing.

Given how badly coupled together with shoestring glue & good wishes so many systems are, how opaque these pain zones are, it feels like the centralization upon existing industry standard protocols to capture events (which imo include traces) is a clear win.

(Obvious downside, these systems become mission critical, business process & monitoring both.)

edejong · a year ago
Totally agree. Observability is just another dataset and should be modeled, managed and governed as other datasets. Data quality controls should be equal or of higher standard than regular data sets.

Monitoring, dashboarding and alerting should leverage other BI-class tooling.

u/edejong

KarmaCake day3461August 16, 2013
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