Okay, #MAEdu, let's talk FY22 and the Student Opportunity Act: https://t.co/o1tgppGy4K

First up:

The FIRST year, Governor Baker?

This is the second year of SOA implementation: you're missing one.
So, are we going to do this in six years, or are we just going to kick the can ANOTHER year on kids?

Remember, school funding is builds on prior years.

We never get that missing funding back.
Also: what are the base numbers being used?

Is the Governor dropping enrollment, even though we all know that was an artificial drop?
There's a decent chance that a WHOLE bunch of those kindergartner and preschoolers are going to be back this fall if we manage to get kids into buildings, PLUS we'll have the USUAL enrollment of preK and K!

...and less funding than usual?
Next up: low income count.

No, you don't get to up the count of kids and NOT increase the AMOUNT the 1/7th or 1/6th of the way to the goal.
Let's not play that game this year.
There being more kids who are low income doesn't mean that each kid should see less implementation of the full funding needed.
Oh, and do we know how many low income children there are *really* in the Commonwealth right now?
In short: I'm approaching this framing with skepticism, given the past history of the Governor's framing on education funding (and...everything else).
This is absolutely not the time to underfund public education, particularly state-dependent public education, particularly education for the kids hardest hit by the pandemic.
I've been less than impressed with the state's handling of the pandemic already; adding half measures on SOA will only make it all worse.
and with that, we'll await Wednesday...#MAEdu
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It appears to be a combination of some of these factors, along with others not mentioned here. Ibn Khaldun’s analysis appears to be a good foundation to go off. [Thread]


Ibn Khaldun makes an important distinction between what he calls العُمران الحضري and العمران البدوي, which, for convenience’s sake, I’ll translate as urban civilisation and rural/Bedouin lifestyle.

He notes that the rural world is largely nomadic, and, as such, Bedouins build character traits that assist the survivalist lifestyle — e.g. the fact that they have to kill snakes that might pop up at any time during their travels helps them build courage and bravery.

The lack of stability and a proper settlement means they don’t really have the luxury of sitting down to let their minds wonder around. They thus build a preservation mindset, which manifests itself through emphasis on memorisation and transmission.

Inhabitants of urban world, on the other hand, are largely settled and established. This means they face less attacks from snakes, lions or danger of human attack from other tribes. Thus, they don’t build the courage and bravery of the Bedouins.
When the university starts sending out teaching evaluation reminders, I tell all my classes about bias in teaching evals, with links to the evidence. Here's a version of the email I send, in case anyone else wants to poach from it.

1/16


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

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
Ivor Cummins has been wrong (or lying) almost entirely throughout this pandemic and got paid handsomly for it.

He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...


... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:


Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.

Tweet: https://t.co/36FnYnsRT9


Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."

I wonder why...

Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x


Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.

Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq