aorist
Joined 3 years ago
Joined 3 years ago
(not a lawyer)
The 95% CIs on both timeseries pretty much always cover the baseline number, which is not consistent with the result being statistically significant.
There's a nice experimental test of this where showing the number of previous downloads a song has makes it more likely to be downloaded (but not to the extent that it entirely overrides the quality of the song. <https://www.princeton.edu/~mjs3/salganik_dodds_watts06_full....>
Most of this is not about Python, it’s about matplotlib. If you want the admittedly very thoughtful design of ggplot in Python, use plotnine
> I would consider the R code to be slightly easier to read (notice how many quotes and brackets the Python code needs)
This isn’t about Python, it’s about the tidyverse. The reason you can use this simpler syntax in R is because it’s non-standard-evaluation allows packages to extend the syntax in a way Python does not expose: http://adv-r.had.co.nz/Computing-on-the-language.html
They should however account for multiple testing. The Bonferroni correction (which is conservative) would set the alpha level to 0.05/5=0.01, for which the 1 day after result is still (just) statistically significant.
Not to say there couldn’t be other problems.
Could be, but “fil” also literally means “thread” in the sewing sense.
> designed a dozen sites I never published > I was never on time > I couldn't get up for class on time
And depending on why
> don't drive > I feel like an alien, and most everyone drives me insane. > most of them I cut off without a word, and those that reach out I resent
also sounds like how someone with ADHD could describe themselves, and the other issues could be downstream from that
The students in the study are responding in a rational way to the way HS English is taught: the pretense is that you're deriving meaning/themes/symbolism from the text, but these interpretations are often totally made-up[^0] to the extent that authors can't answer the standardized tests about their own work[^1]. The real task is then to flatter the teacher/professor/test-setter's preconceptions about the work — and if the goal is to guess some external source's perspective, why shouldn't that external source be SparkNotes?
This ambivalent literalism is evident in the paper itself: - one student is criticized for "imagin[ing] dinosaurs lumbering around London", because the authors think this language is obviously "figurative". But it's totally plausible that Dickens was a notch more literal than only describing the mud as prehistoric! In the mid-1850s the first descriptions and statues of dinosaurs were being produced, there was a common theory that prehistoric lizards were as developed as present mammals, so maybe he's referring to (or making fun of) that idea? - the authors criticize readers for relying on SparkNotes instead of looking up individual words in the dictionary. But "Chancery" has ~8 definitions, only one of which is about a court and "advocate" has ~4. Is it more competent to guess which of those 32 combinations is correct, or to look up the meaning of the whole passage instead? There's whole texts dedicated to explaining other texts, especially old ones — does pulling from those make you a bad reader? - they say that a student only locates the fog vaguely rather than seeing that "it moves throughout the shipyards". That's not in the text though: the fog is only described as moving laterally in two of the locations, and never between different parts of the yard. Maybe the fog is instead being generated in each ship and by each person, as is the confusion in the High Court of Chancery? (More pedantically still: are all these boats just being built? If not, wouldn't they be at docks or wharfs rather than shipyards?)
I think the underlying implicit belief is that there is always one correct interpretation of the text, at one exactly correct level of literalness, derivable from only the text itself. But by the points students are in college they will have been continuously rebuffed for attempting literal interpretations that don't produce the required result, and unsurprisingly they end up unsure which parts of understanding are mechanical and which are imaginative.
[^0] https://www.theparisreview.org/blog/2011/12/05/document-the-... [^1] https://www.huffpost.com/entry/standardized-tests-are-so-bad...
Then, the Rebel Times says "Moisture farmer with magic powers joins fight against Empire", but the Empire Daily has "Moisture farmer joins fight against Empire". the common whats are just that a moisture farmer joined the Rebel Alliance, which is true, but much less consequential than if he had magic powers.
Later, the Rebel Times says "Secret Empire super-weapon destroyed at the Battle of Yavin", and the Empire Daily publishes... nothing because they don't want to admit defeat. There's no common information between these stories (because there is no second story), so looking for common whats would conclude that nothing happened.
If the process of analysing the news accounted for the fact that the different outlets are interested in presenting different whats, it could conclude that the fact that the Empire Daily published nothing about the third story doesn't mean that it didn't happen. In the second case, if it could account for the Empire wanting to suppress information about the Force, the conclusion would be that Luke joining the Alliance is somewhat more of a big deal than otherwise. Even in the first case, it might realise that the fact that the two sources don't agree about Leia doesn't mean that one side isn't right.
Not necessarily. Before the Industrial Revolution artisans were paid by the piece and peasants harvested between the crop being ripe and it being damaged by the weather. <https://dhayton.haverford.edu/wp-content/uploads/2021/10/Tho...>
Both of those have immediate rather than delayed (artificial?) consequences, which might have been easier to handle.
When factories tried paying peasants by the hour, they would work as much as they felt like (e.g. not showing up at all on "Saint" Monday) until they were taught time-discipline.