In response to @nytdavidbrooks
A thread. 👇🏻
You can’t argue studies & reports with fear. Minority communities have been disproportionately affected by their families dying. The unions are representing the teachers who are also POC, at risk & don’t want to die.

I see both sides of this issue and it’s only a problem because of a lack of a Federal response and Federal leadership. If the US had a functional @CDC last year and had set out guidelines for school reopening we wouldn’t be here.
I quit my job because the protocols I wrote weren’t being followed so I don’t blame unions one bit for advocating for the health & safety of their workers.
This biased & inflammatory OpEd does not give any credence to substantiated concerns and fears, especially of those teachers who are unvaccinated, at high risk, and being forced to go teach in unventilated classrooms without N95 respirators or support...
to manage both on line & in person education. I can tell you that I would not be sending my own kid to school under these circumstances knowing the buildings and ventilation problems at their public high school I the US.
As long as there is rampant community spread and no vaccinations or contact tracing, I’d be legitimately scared to go to work or send my kid to school. I don’t blame the unions one bit here.
I blame the Federal government for failing the country on this and leaving it up to local counties and agencies to manage.
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The YouTube algorithm that I helped build in 2011 still recommends the flat earth theory by the *hundreds of millions*. This investigation by @RawStory shows some of the real-life consequences of this badly designed AI.


This spring at SxSW, @SusanWojcicki promised "Wikipedia snippets" on debated videos. But they didn't put them on flat earth videos, and instead @YouTube is promoting merchandising such as "NASA lies - Never Trust a Snake". 2/


A few example of flat earth videos that were promoted by YouTube #today:
https://t.co/TumQiX2tlj 3/

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Nano Course On Python For Trading
==========================
Module 1

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https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
I’m torn on how to approach the idea of luck. I’m the first to admit that I am one of the luckiest people on the planet. To be born into a prosperous American family in 1960 with smart parents is to start life on third base. The odds against my very existence are astronomical.


I’ve always felt that the luckiest people I know had a talent for recognizing circumstances, not of their own making, that were conducive to a favorable outcome and their ability to quickly take advantage of them.

In other words, dumb luck was just that, it required no awareness on the person’s part, whereas “smart” luck involved awareness followed by action before the circumstances changed.

So, was I “lucky” to be born when I was—nothing I had any control over—and that I came of age just as huge databases and computers were advancing to the point where I could use those tools to write “What Works on Wall Street?” Absolutely.

Was I lucky to start my stock market investments near the peak of interest rates which allowed me to spend the majority of my adult life in a falling rate environment? Yup.