83 karma · joined October 29, 2019
Caveat: English is not my first language so might have missed your point in translation. :)
EDIT: Yeap, here's NYT article from 1989 https://www.nytimes.com/1989/09/05/science/face-masks-fool-t...
(As non-native speaker) I always interpret A-Team as your most competent team for a given task.
That's deep decrease (~33%), I fully expect the effects to show up starting Q4.
Archive : https://web.archive.org/web/20200717180537/http://danieltemk...
I thought it was always me and I was being too cynical but on mobile web, half of the times, I am scrolling and stop to click on media/link in the tweet and freaking add shows up and I end up clicking on that. May be it's just my device but annoying as hell UX.
FYI, you _probably_ have a typo on pricing page "Term Extraction" should be "Term Extension"?
Caveat: I use IntelliJ and I just jump to tests using CMD+SHIFT+T shortcut so not necessarily a generic example.
Owing to other responsibilities I can not allocate X amount of time right now. (Ignoring whole COVID-19 saga of course)
What's the playbook for this? Any recommended reading etc would be a huge favor.
PS: Not necessarily a question to OP but anyone passing by.
Even if they're blog posts from eng/prod teams that would be a huge favor.
I am always curious about/collecting patterns successful teams leverage for solving problems that I consider important.
Being able to communicate fraudulent payments that Stripe blocks is definitely one of them.
I was being a bit selfish when I asked that, my thought process was like; "Going forward data-collection is going to be scrutinized much more than now and rightfully so. If I ever run a business where we collect data for a very important use case I would want to make sure that we are able to communicate what, why, and how with utmost level of transparency)."
Hope that puts some context to my question, it was a good-faith question. :)
Are there ways for transparently communicating (verifiable) stats for this claim?
To be clear, I am not saying that your claim is not true but if one thing HN has taught me, it is to always ask for data backing up claims that are tall.
I am out of my depth in terms of the topic we are discussing so I might be quite wrong.