Really? I think we have exactly the same problem in the UK. Granted, my eyes are more susceptible post laser surgery, but headlights are definitely getting brighter and higher as the years go by.
One big difference is that there are lots of reviews for $CommonPosition. With this, you'd have to expect that most reviews are the only one for a given property/landlord
> Unfortunately, if you’ve been observing the p-values, you’ve noticed that most have been very high, and therefore that test is not enough evidence that the tips/threats change the distribution
It doesn't look like these p values have been corrected for multiple hypothesis testing either. Overall, I would conclude that this is evidence that tipping does _not_ impact the distribution of lengths.
4.5L of 0.5% ABV beer would not make you drunk. For comparison, this is equivalent to less than a pint of a typical mainstream beer. Indeed a 0.5% ABV drink can be branded alcohol free (at least in the UK).
Would 4.5L of 2% ABV make you drunk? Depends how quickly you can drink it. It's 9 units of alcohol. We commonly assume the body can process 1 unit/hour so if this quantity was consumed over an entire day, I don't think you'd get merry.
I'm not saying it's a good idea to drink like this, just highlighting the impact of ABV on the outcome.
Excellent article. Faceted visualisation is an incredibly powerful technique.
Something the author hints at but isn't quite explicit: manual inspection of individual examples from your dataset can help you understand what questions to ask, what category to facet on, or the bug in your aggregation.
Not to be pedantic, but that's a bit of a non-argument. _Of course_ you can do it with xargs and shell, but imho parallel is generally more convenient, especially for remote execution. It provides a higher level of abstraction for such tasks.
I think it's on you - as the receiver of a message - to appropriately deal with your messaging app of choice such that it doesn't interupt your flow. Otherwise, you are placing an impossible burden on the sender of the message to some how telepathically know if it's a good time. IMHO, your preferred workflow makes it seem that your time is more valuable than the other person's as you're now asking them to hang around waiting until they can actually ask their question.
The asynchronous nature of messaging is important to preserve.
I assumed the intention is to alert a driver who really needs to take a break. I don't see what other use it has, other than to annoy me when overtaking a cyclist.
The refusal to lock was probably that you'd not fully switched off the engine. I've had this on my Qashqai. The fuel-saving system that automatically turns off the engine when you're stopped and out-of-gear can be confusing. This behaviour often happens when parking but it seems you still need to press the stop-start button to "completely" turn it off in order to lock the car.
This is the first car I've owned with "modern" driver aids and it is true that they are somewhat temperamental. For example, the auto full-beam headlights get very confused in fog (which can be dangerous!), whilst I often get a warning noise when approaching sharp bends at a perfectly safe speed.
Really interesting. It must take such discipline to collect this data for 3.5 years.
Trying to answer the question of "does work make me happy?" is much more complex than comparing happiness levels between work and non-work days - they are not independent. How much of your happiness of a non-work day is precisely because it is a day off? An imperfect analogy would be the feeling of enjoying a holiday but also being glad to be home at the end of it.
I find it odd that they refer to this as dynamic pricing. I know someone in this industry and they've been doing 'dynamic pricing' for decades - specifically pricing for expected and actual demand.
I suspect they've deliberately avoided the more contentious-sounding 'personalised pricing'.
So did they compare the total number of steps in the 2 groups? Although the 3x 10 minutes only counted for 3,000 steps, the participants in that group could easily have walked 7,000 steps outside of that 30 minute window.
Also, do people really think walking 10k (or indeed n-k) steps is a substitute for intense exercise?
Whether or not the speciation is "complete" is not really the point - the title of the article says they are "...caught in the act of becoming new species" - in fact the article highlights the difficulty in stating what determines something to be a separate species.
It's interesting that a few people are relating this to team work. I think that is a misinterpretation. By 'others' I would infer something more like 'competitors', though I mean that relatively loosely. Essentially, ignore what other labs are working on and focus on your own (group's) works.
My own PhD supervisor had a similar attitude, though it runs against how many others approach a problem I feel. For example, I'm unconvinced that starting a project with a thorough literature review is necessarily the best plan. It can shroud your thoughts, make you miss the same things everyone else has and make you feel that all the work has already been done.