2/n
A lot of people on Twitter have really strong opinions about grad degrees (MBA or MS). If you are a 25-year-old PM thinking about whether to do an MBA or not, just ask where you want to be by the time you are 40.
1/n
2/n
If you plot a graph, there will be people at the extremes.
Unless you are willing to take bets in your career with more risk than the average person, basically an alpha bet, mostly you will land there.
Also, remember that higher education is about optionality.
Don't make a decision on whether to do an MBA based on someone who did a BS from Stanford, made it big in the valley, is now saying education is useless.
Your circumstances are different. Your goal might be different.
You might even aspire to have an average balanced life. So do whatever makes sense based on a 20-year-old horizon, if not more.
Hence whenever I see people shitting on colleges, I send them this: https://t.co/ZstkhoIdBj
You don't understand the importance of a college when you are studying there.
Funny story, after 2 years of working in Product I applied to an unicorn,
The same happened 4 years later. I applied for SPM roles, and the hiring manager of one
And I think I can work hard and get where I want anyway.
Also if you see a VC on Twitter tell you MBAs are stupid, go to their firm website, and see how many
Also, see how many partners got their MBA from tier 1 colleges.
Look at data and not raw emotions.
Most people are for themselves. They probably don't care. They probably don't think about you at all.
/end
More from Education
\U0001f17b\U0001f130\U0001f17d\U0001f176\U0001f184\U0001f130\U0001f176\U0001f174 \U0001f180\U0001f184\U0001f178\U0001f189
— zev handel (@ZevHandel) December 17, 2020
The following sentences are in seven different languages, all written in Chinese-character script (or a modification of it). Can you identify the languages?
Sentences are in thread.
(1/3)
Here again are those seven sentences:
1) 他的剑从船上掉到河里去
2) 於世𡗉番𧡊哭唭𢆥尼歲㐌外四𨑮
3) 入良沙寢矣見昆腳烏伊四是良羅
4) 佢而家喺邊喥呀
5) 夜久毛多都伊豆毛夜幣賀岐都麻碁微爾夜幣賀岐都久流曾能夜幣賀岐袁
6) 其劍自舟中墜於水
7) 今天愛晚特語兔吃二魚佛午飯
Six of those seven sentences are historically attested. One is not: I invented #7. I’m going to dive into an exploration of that seventh sentence in today’s thread.
Sentence #7 is an English-language sentence written sinographically — that is, using graphs that originate in the Chinese script. I didn’t do this for fun (even though it is fun), or as a proposal for a new way to write
7) \u4eca\u5929\u611b\u665a\u7279\u8a9e\u5154\u5403\u4e8c\u9b5a\u4f5b\u5348\u98ef \u2013 Modern English
— zev handel (@ZevHandel) December 21, 2020
Today I want you to each two fish for lunch.
That this sentence is a written form of English is undeniable, as the sentence is made up entirely of English words following the rules of English grammar. 23/
I did it as a thought experiment. Why? Because thinking about how the modern Chinese script might be adapted to write modern English can give us valuable insights into historical instances of script borrowing, like those that took place centuries ago in Japan, Korea, and Vietnam.
1/16
When a teaching award is based solely on teaching evals and then only men get it. pic.twitter.com/szIBkCvTe9
— Dr. Marissa Kawehi (@MarissaKawehi) February 12, 2021
When I say "anyone": needless to say, the people who are benefitting from the bias (like me) are the ones who should helping to correct it. Men in math, this is your job! Of course, it should also be dealt with at the institutional level, not just ad hoc.
OK, on to my email:
2/16
"You may have received automated reminders about course evals this fall. I encourage you to fill the evals out. I'd be particularly grateful for written feedback about what worked for you in the class, what was difficult, & how you ultimately spent your time for this class.
3/16
However, I don't feel comfortable just sending you an email saying: "please take the time to evaluate me". I do think student evaluations of teachers can be valuable: I have made changes to my teaching style as a direct result of comments from student teaching evaluations.
4/16
But teaching evaluations have a weakness: they are not an unbiased estimator of teaching quality. There is strong evidence that teaching evals tend to favour men over women, and that teaching evals tend to favour white instructors over non-white instructors.
5/16
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
1/
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/