#data science basics

[dayisfading]

we have a big grant report due at the end of the month. we usually get data submissions in by mid-month.

coworker is responsible for 1 out of the 10 outcomes we report on.

we had a huge delay getting this data from our partner because of a lapsed contract; it should've taken about a week or two and it took nearly 2 months.

i sent him the data on 2/21. i reminded him of when we'd need aggregated for the grant report.

i was out for a procedure part of last week, so i circled back to my boss today to ask if he had spoken with my coworker about the data needed for the grant because i hadn't received or heard anything, and wasn't sure if i was expected to do this analysis (i've never done it before).

i get a call from my coworker to clarify what is needed. i also discover that he already had vacation scheduled next week (during the month of a major grant report!!!).

he calls me two more times between 3-5pm, once in "panic mode" (his words), wanting clarification on more things, stressed presumably because he doesn't have much time to do this.

i am not able to offer a whole lot of support because like. you dropped the ball. again. sorry. sucks to suck i guess.

it's worth noting that at least one reason this panic is happening is because he has been working on a dashboard that my boss wants done for submission in the report as a supplemental (but also for internal and eventually external use). he's been working on it since at least january, maybe late december. we've reviewed this dashboard in our team multiple times, provided feedback, only to find during the next review that few of the basic changes had been made. this happened multiple times. we had a presentation of this dashboard scheduled early february and it's had to be moved back twice. not only that, but he has still been coming to me with questions regarding the dashboard that i've already answered at least once.

i'm on a team with 2 other people but it feels like 1.5 on a good day.

[yappacadaver]

you can still reblog Raymond with propaganda ykno. the smash blog reblogs propaganda if it's mentioned p regularly

dw anon i have been propagandizing tf out of him in my tags and rbs x'D but what i wanted to do was resubmit him after the waiting period with completely different pics and see how that affected the results :o cause he got a model update and a new ending where his clothes get ripped off exposing his massive tits, and that's what i put in the poll

but like before that ending we were smashing this

which is way more indicative of his character than the promo art i opened with :3c Brian likes to doll him up and expose him for social media clicks but real raymondheads know the truth (he's only got apologies and scary blue puppydog eyes in his arsenal)

[totallyveryallosexual]

Presented my research to a panel of judges for the first time ever today!!!! I had my paper printed out and all I could think was, this is not real. This looks like an actual paper. I can't believe I actually presented my data!!! Based on work that I did!!! And a method I developed!!! Which investigated an actual research gap in the literature!!! I feel like a little kid playing dress up as a scientist, and one of my classmates said today "just think, you are going to walk into that room and they are going to treat you like an adult" and they did! They discussed my research with me and asked relevant questions and gave me feedback and I'm so freaking happy!

[neverendingford]

.

[theguardianace]

im so bored in this lab its not even funny

[tccicomputercoaching]

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[longroadstonowhere]

........ hold on a second this experiment is just 'what if we made up plausible guys to explain why we wanna make these changes'!!!!!

[eimearkuopio]

Chromebook Linux is a fucking nightmare anyway. In my last job I always ended up spending several hours helping at least a few students who only had Chromebooks install the tools we needed for them to be able to do their coursework. My current job involves teaching in a STEM department and Chromebooks aren't acceptable computers for the students, not as a form of gatekeeping but because we just can't help 200 students from non-STEM backgrounds figure out how to keep their packages up to date.

[startedwellthatsentence]

The more I learn about just how many fields of research Noam Chomsky kneecapped or poisoned in the 20th century, the more I anticipate with sick glee his imminent demise. I wish it had happened approximately 60 years earlier, but it has to fucking happen soon.

[victoriousdigital]

[psycho-linguist]

i need a friend who i can ask what they think about np=p and who is also gay and thinks it might be and thinks if there is a proof it will be constructive and even the proof by contradiction would be kind of constructive in a different direction disproving np=p by extension or something like that

[reasonsforhope]

If you're feeling anxious or depressed about the climate and want to do something to help right now, from your bed, for free...

Start helping with citizen science projects

What's a citizen science project? Basically, it's crowdsourced science. In this case, crowdsourced climate science, that you can help with!

You don't need qualifications or any training besides the slideshow at the start of a project. There are a lot of things that humans can do way better than machines can, even with only minimal training, that are vital to science - especially digitizing records and building searchable databases

Like labeling trees in aerial photos so that scientists have better datasets to use for restoration.

Or counting cells in fossilized plants to track the impacts of climate change.

Or digitizing old atmospheric data to help scientists track the warming effects of El Niño.

Or counting penguins to help scientists better protect them.

Those are all on one of the most prominent citizen science platforms, called Zooniverse, but there are a ton of others, too.

Oh, and btw, you don't have to worry about messing up, because several people see each image. Studies show that if you pool the opinions of however many regular people (different by field), it matches the accuracy rate of a trained scientist in the field.

--

I spent a lot of time doing this when I was really badly injured and housebound, and it was so good for me to be able to HELP and DO SOMETHING, even when I was in too much pain to leave my bed. So if you are chronically ill/disabled/for whatever reason can't participate or volunteer for things in person, I highly highly recommend.

Next time you wish you could do something - anything - to help

Remember that actually, you can. And help with some science.

[chaos-in-one]

Don't know why, but I have not felt more disappointed in my mother in a while than when, today, she suggested I just send the survey I am doing for a school assignment to classmates I have talked to before.

[21st-century-minutiae]

Survey selection bias is a common problem in early twenty-first century demographic analysis. It is well understood and accounted for (as much as possible) by competent statisticians. Any good faith demographer will include a methodology section in their report that should help identify potential sources of bias, and savvy individuals will use this information to properly interpret the data. For example, low sample sizes, restricting surveys to students at a particular college (who might be answering the questions for class credit or money), or (as listed above) telephone surveys can lead to nuances in the results.

However, laymen might lack the knowledge to account for these nuances. This can be exacerbated when media reports on the results, but fails to include the methodology (this is actually a good judgement of media impartiality and accuracy: if they include the survey size when reporting or other methodology details, especially in graphics, that is a good sign. If they omit it, that is a bad sign). People also are very prone to report simple summaries, such as final percentages, without including methodology detail, which leads to the spread of misinformation.

One extremely famous example of methodology bias was in the 1948 US Presidential Election. Based on confident polling data, the Chicago Tribune printed a newspaper headline "Dewey Beats Truman" when, in fact, Truman had won. The polls were all flawed in methodology, often directly polling individuals on a street corner where they could find people instead of stochastically selecting individuals from the entire population. There is a famous picture of Truman holding up this particular newspaper headline in triumph. Many people in the early twenty-first century are aware of this picture, as it has had a substantial cultural impact.

Let's consider the sampling bias of a classic polling method: the telephone survey.

In many jurisdictions, robo-calling cell phone numbers is illegal, so right off the jump, our sample is limited to people with landlines.

Second, our survey's calling centre probably doesn't operate 24/7, and you can only answer a home landline when you're at home, so we're also selecting for people who tend to be at home during our calling centre's office hours.

Third, most people who have landlines probably also have answering services and caller ID, so we're additionally selecting for people who answer unknown numbers rather than letting them go to the machine.

Fourth, our recipient needs to be able to participate in the survey, so we're also selecting for people who speak the language(s) in which the survey is being administered.

Finally, after all this, most people will just hang up once they figure out they're being polled, so in sum, we're selecting for people who:

have landlines;

are usually at home during our calling centre's office hours;

customarily answer unknown numbers;

speak the language(s) in which the survey is administered; and

are actually interested in responding to surveys.

Any one of these factors is likely to introduce very serious bias into our results; all of them taken together are going to render our data practically meaningless for most purposes.

Now, understand that this still represents less selection bias than trying to do demographic surveys by reblogging Tumblr polls.

[putnamspuppeteer]

Some guy: I'm having a problem with this library. The Horrid Stackoverflow Dweller: I hate you already but okay. Some guy: See, I'm using Anaconda, and-- The Horrid Stackoverflow Dweller: Make a new Conda install. Delete all your files and rewrite all your code. Smash your computer to a million billion gajillion pieces and buy a new one. Fake your death, move to a new state, change your name. Hurl yourself into traffic, return to life three days later, and found a religion. How dare you ask this question. Die immediately. (The Actual, Unwritten Answer: There's a new library that makes the task 12 times easier. You'll need to rephrase your google query no fewer than thirty times to find it.) Other Stackoverflow Users: Yeah, what the horrid guy said. Do that.