Based on CDC stats, condoms are 82% effective with typical use, and 98% effective with perfect use.
IIRC, typical use includes when people intend to use the method but don’t always use it consistently.
864 karma · joined January 17, 2009
Based on CDC stats, condoms are 82% effective with typical use, and 98% effective with perfect use.
IIRC, typical use includes when people intend to use the method but don’t always use it consistently.
This manifested as an issue when doing a deploy but being unable to get critical data. We added retries and stuff like that but it seemed not great to run a business of something that isn’t designed for this purpose.
This ignores stuff like losing childcare subsidies that is likely not included on the graph.
In the us you hear stories of people decreasing their income to be in a lower tax bracket and often it is due to them not understanding that the tax brackets are for marginal tax rates.
I used to live in SF and would see shoplifting all the time but now live in NYC and haven’t seen it that much.
https://news.yahoo.com/british-woman-arrested-praying-silent...
> When she stood in front of the building by herself, Vaughan-Spruce reportedly did not carry a poster, candles for a vigil, or graphic pictures that might be deemed disturbing to local residents, according to the video
> When officers asked whether she was part of a protest, she replied “no.” They then asked if she was praying, to which she said she could be doing so “in my head.” Police then searched her, and patted down her hair, before handcuffing her and escorting her to the station.
The article you link to talks about a different person, who was arrested for holding a sign saying "Praying for freedom of speech."
I've noticed this for the past month or two.
It’s always seemed to me there is likely to be more oversight in larger organizations. I’ve been meaning to ask about this but never had time.
Also if you read their recommendations, a lot of times their source is “personal conversations with the leader of the charity”
https://www.usatoday.com/story/sports/sportskind/2022/11/28/...
1) You can read the engineering blogs from top companies such as Google, Meta, Twitter, Uber, etc. They talk about their designs. It's especially important to read the blog for the company you are interviewing with since it will give you more context for the problems they are solving.
2) I found this template to be pretty useful: https://leetcode.com/discuss/career/229177/My-System-Design-...
3) By yourself, or with a friend brainstorm how you would architect certain features from popular app. For example: Uber routing, Instagram recommendations, sending WhatsApp images, live video streaming. After you are done, look up how it is actually implemented. This is fun and you can do it a couple of times a week.
4) Research details about fundamental technologies. Your system will likely want a cache and you might say you will use Redis. You should be able to know details on how you will use Redis to accomplish your goals. For example what key will you use, what TTL, what eviction policy. Almost all of these technologies are open source. If you don't use them in your job, spend 5 hours on each going through the Quickstart guides and playing with it.
5) Once you have a pretty good idea what you are talking about, make sure you talk about tradeoffs. Companies want experienced engineers who can understand the tradeoffs between different architectures and articulate their reasoning instead of picking technologies just because they are popular.
6) Does your company have design docs? Can you read those to learn how your system was built? Maybe reach out to the author and learn what went well and didn't go well once it was implemented.
Of course the best way to learn all of this is to design systems yourself and learn from its experience with production usage.
"Today, 7 in 10 Americans are obese or overweight, but only 36 percent think they have a weight problem. In other words, close to half the people who are overweight or obese don't think they're overweight or obese."
https://www.washingtonpost.com/news/wonk/wp/2016/12/01/nearl...
At least when I look here the costs are linear.
E.g. c5.2xlarge is double a c5.xlarge, and a c5.24xlarge is 24 times higher than a c5.xlarge.
When given a task, I've explicitly asked which out of time, scope, and quality, is the most important to them.
Another important thing to keep in mind is that you get to choose the situation you are in. For future jobs it might be worth carefully evaluating who you will be reporting to and working with and their background. Even if they are not an engineer, have they worked with engineers before? Do they have realistic expectations around timelines? Do they have a level of understanding to at least talk at a high level about what you are working on? If the answer is no, it might not be the right job for you.
It's also worth understanding the working styles of the company you will join. I had previously been at a company with 100 engineers that focused on agile and used lightweight processes like tracking tasks on notecards in swimlanes on a physical wall. The next company I joined was over a thousand engineers and expected JIRA tickets for everything and writing large numbers of docs and getting sign offs from numerous people and departments before starting work. I know see that the first way of working is a better fit with my natural style, but you may fit in better with the second way.
For your situation, it sounds like the non-engineers had unrealistic expectations of what could be done with ML and how fast. Was there a discussion around timelines and you ended up going greatly over them? Or where you just going off to work and then they decided you weren't getting enough done.
I agree with everyone else who says that you have to understand your audience and tailor your message for what they care about.
It’s a new thing. You’d normally never eat outside in the winter in cities like Chicago, Boston, or New York, but because of Coronavirus people will.
It’s probably not worthwhile discussing this particular case in HN, but it’s not rare for me to scroll my Facebook feed and see completely different interpretations of the same event.
Does anyone have experience with this method?
The problem was bad leadership, not density. If you care about health, life expectancy in NYC is significantly above the US average.
He clarifies what he means more here: https://lobste.rs/s/mc3k1c/at_uber_we_re_moving_many_our#c_f...
We don't have those available right now and are looking at disaster if we don't lock down. Our testing capacity will grow significantly and by later we can take those measures and get back closer to normal life.
If you put some contact info on your HN profile, I might be able to do another mock interview and give you feedback if you are interested.
20 or 30 minutes before lunch I eat an apple. There was a study a few years ago that showed you can crowd out unhealthy food by eating an apple or pear before every meal.
I bring in frozen vegetables from home and I have to eat them before I eat any of the office snacks.
Never drink soda.
Making clear rules makes it easier to follow compared to having to use willpower and thinking about each situation.