When I got home yesterday my daughter was in rage tears over her AP US History teacher's talking down and over the girls in the class about the validity of the "pink tax" and the gender pay gap (both of which he disputes). Today I joined the class. 1/

He asked why I was there, and I said I was concerned about the inaccuracy of statements he'd made in class about the pay gap, and the impact that has on the girls in his care. 2/
He claimed the stats do not show a pay gap. I told him he was wrong, that the ones that match at role level and industry do. I reminded him that the EEOC (which he should have taught the kids about) adjudicates gender pay discrimination cases. 3/
And that one of those cases was just done in December, finding that the Enoch Pratt Free Library discriminated against female supervisors (citation: https://t.co/w2aquR0WJN). 4/
He said he was uncomfortable having "this discussion" in "a public venue" and that it wasn't appropriate to get into politics. I said I wasn't having a political discussion, I was asking him to correct his misinformation. He asked me to leave. 5/
One of the great things about Zoom classes? I "left" by moving 6 inches to the left. He then apologized to my daughter for "hurting her feelings." 6/
And this is when the amazing thing happened. 3-4 additional girls started speaking up about the discussion from yesterday, and how unhappy it had made them. They said he hadn't listened to their perspectives. 7/
That he regularly interrupts them (a statement which he interrupted). That he doesn't actually know the impact of things like the pink tax because he's not a woman, he should listen to women. 8/
It was amazing to hear these girls, once given space to object to male privilege by a woman inhabiting her power (me, a highly-placed, white, affluent, parent), took on that space and FILLED IT. 9/
The lesson here? All I did was open a door for a group of girls, and make the room safe for them to speak up. WHO ARE YOU GOING TO OPEN A DOOR FOR TODAY? 10/10
A few additions: I neither deserve nor seek congratulations, the girls are the heroes today. Black lives matter. Smash the patriarchy. Support Planned Parenthood.
Hi new followers! And goodbye trolls. It took just under 8 hours for me to block the first person. No, I'm not interested in hearing your arguments against the very well-established and persistent pay gap. Go back to your hole.
Having gone viral, I have some more additions: Love is love. Trans rights are human rights. Science is real. Wear your mask and stay home. Nothing about us without us. The Civil War was fought over slavery. Impeach!

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MASTER THREAD on Short Strangles.

Curated the best tweets from the best traders who are exceptional at managing strangles.

• Positional Strangles
• Intraday Strangles
• Position Sizing
• How to do Adjustments
• Plenty of Examples
• When to avoid
• Exit Criteria

How to sell Strangles in weekly expiry as explained by boss himself. @Mitesh_Engr

• When to sell
• How to do Adjustments
• Exit


Beautiful explanation on positional option selling by @Mitesh_Engr
Sir on how to sell low premium strangles yourself without paying anyone. This is a free mini course in


1st Live example of managing a strangle by Mitesh Sir. @Mitesh_Engr

• Sold Strangles 20% cap used
• Added 20% cap more when in profit
• Booked profitable leg and rolled up
• Kept rolling up profitable leg
• Booked loss in calls
• Sold only


2nd example by @Mitesh_Engr Sir on converting a directional trade into strangles. Option Sellers can use this for consistent profit.

• Identified a reversal and sold puts

• Puts decayed a lot

• When achieved 2% profit through puts then sold
How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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A THREAD ON @SarangSood

Decoded his way of analysis/logics for everyone to easily understand.

Have covered:
1. Analysis of volatility, how to foresee/signs.
2. Workbook
3. When to sell options
4. Diff category of days
5. How movement of option prices tell us what will happen

1. Keeps following volatility super closely.

Makes 7-8 different strategies to give him a sense of what's going on.

Whichever gives highest profit he trades in.


2. Theta falls when market moves.
Falls where market is headed towards not on our original position.


3. If you're an options seller then sell only when volatility is dropping, there is a high probability of you making the right trade and getting profit as a result

He believes in a market operator, if market mover sells volatility Sarang Sir joins him.


4. Theta decay vs Fall in vega

Sell when Vega is falling rather than for theta decay. You won't be trapped and higher probability of making profit.