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$Lyman Stone \u77f3\u4f86\u6c11$

Lyman Stone 石來民
@lymanstoneky 3 years, 4 months ago 380 views

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Possibly the greatest NBER abstract ever written.

The Great Man theory of history.... turns out to have some pretty strong statistical support. https://t.co/HIdtRvMSVk

School closures had NO EFFECT (precise null!) on socioeconomic outcomes and future schooling behavior during the 1918 pandemic. https://t.co/VLlGt79wi1

The authors note that school closures were not as long back then.

But also school calendars were far shorter. So idk how it shakes out.

Informing men about the odds their wife will die in childbirth reduces fertility, increases marital satisfaction, and reduces mismatch in fertility preferences within couples (in Zambia). https://t.co/8qF2hn2rwD

This is a neat possible channel for the education-fertility linkage. The effect size they observe is yuuuuuuge.

People with Facebook friends in areas with high COVID cases, and who saw more FB posts about folks getting sick and hospitalized, did more social distancing and were less likely to post about reopening. https://t.co/vze86IGjc4

This is a pretty strong argument that the media should have been broadcasting more images and videos of human suffering in hospitals and elsewhere and fewer videos of wait lines for grocery stores.

This paper also shows an educational reform altering attitudes towards cousin marriage and also reducing its frequency: https://t.co/x2CB7TE7dA

More from Lyman Stone 石來民

$Lyman Stone \u77f3\u4f86\u6c11$

Lyman Stone 石來民...
@lymanstoneky

So a few days back I was tweeting about SSRIs. The big question with these drugs is: why do controlled trials routinely show such small effects when practitioners and patients report life-changingly-large effects?

So first off, at this point the evidence is pretty clear that SSRIs and other anti-anxiety/anti-depression drugs truly don't do very much. Their average effects are beneath clinical significance, as I tweeted about here:

What's the best recent empirical assessment of SSRI/SNRI effectiveness which deals with heterogeneity and long-term effects in a plausible way?
— Lyman Stone \u77f3\u4f86\u6c11 (@lymanstoneky) December 4, 2020

Basically, the problem these drugs face is that while they actually see relatively LARGE effects.... but that placebos in those trials ALSO see large effects (and most untreated depression improves within a year anyways).

So basically you have this problem where:
1. The condition tends to improve on its own in a majority of cases
2. Placebo effects for the condition are unusually large

Which means the large crude effects of SSRIs get swamped.

So that raises two new questions.
1. (Not my focus here) Are we treating these conditions appropriately given their untreated prognosis is usually (though certainly not always!!) "goes away in a few months"?

2. Why are placebo effects so unusually large?

$Lyman Stone \u77f3\u4f86\u6c11$

Lyman Stone 石來民...
@lymanstoneky

reading the self-important and vaguely-cultish textbooks by bayesians makes me want to go out and kill a sufficiently large number of bayesians that i can estimate the mean pitch of their screams

"when we have multiple models, we should choose one using Bayesian statistics"

no

you should do both and publish an appendix showing robustness tests, you cultist

"but my bayesian model takes 4 weeks to process i can't run 1,397 robustness tests"

yes

exactly

"it's #Actually impossible to use predictive accuracy to test model validity because we can't observe future values!!!"

omg

this is a real critically acclaimed textbook im barely even paraphrasing here

i don't trust quantitative methods where people say, "this method has been in use for centuries!"

that is a solid argument for perhaps a theological proposition

it is not highly compelling for code

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$Lyman Stone \u77f3\u4f86\u6c11$

Lyman Stone 石來民...
@lymanstoneky

Conservatives love to complain about the media.

But there's an inside baseball media that reveals how destructive the conservative media criticism environment can be to the conservative movement.

Enter, Fox News:

The story is pretty simple.

On election night, Fox News called Arizona very early. This surprised pretty much everyone. The Fox News team had improved their election model in 2020, and was confident their call was correct, even if unconventional.

Controversially, however, they called it for Joe Biden. Arizona has historically been a red state, and the polls (and final result) were close there. Nobody had a really strong expectation it was gonna go for Biden until Fox News just.... called it.

This hurled Trump surrogates into a desperate place. If they lost *Arizona*, that was a bad sign for the night. More importantly, it happened before midnight: it humiliated the President while millions were still watching.

The Trump campaign immediately turned on a dime. They pivoted from "Look, we're crushing it with Hispanics! Massive turnout! Incredible performance!" to "The election was stolen."

Who stole the election changed over time. Fox News. Some rando in Atlanta. Poll workers. China.

$Lyman Stone \u77f3\u4f86\u6c11$

Lyman Stone 石來民...
@lymanstoneky

After a couple years of ads telling men to do laundry turned out, weirdly, to not boost fertility, Korea is back to financial incentives, which prior research has shown do work but at a very high price.

Korea is adding a $275/month allowance for the first year of a baby's life, increasing the pregnancy medical benefit by $400 or so, and providing an $1800 baby bonus. There's also some unspecified benefits related to leave and high-parity families.

The thing to understand is that these efforts are not *actually* huge. Quoting things in won gives you big numbers so it's easy to lose sight of the fact that we're not talking about enough money to actually offset a large share of wages.

I'm a fan of baby bonuses and first-year benefits. They're probably the most bang for the buck.

But this isn't actually all that many bucks!

These benefits add up to about $5,500 in benefits. A similar program compared to average incomes in the US would be about $8,700.

$Lyman Stone \u77f3\u4f86\u6c11$

Lyman Stone 石來民...
@lymanstoneky

the strange reality of strict calvinism is that it makes a mockery of God's claims to hate, abhort, or even be theoretically opposed to evil

the calvinist solution to the problem of evil, which I have *literally heard from the lips of a faithful well-catechized Presbyterian* is, "well, all that happens is God's will, and to do His will is to manifest goodness, and goodness gives God joy, so God must rejoice in evil"

The hypothetical I gave was, "Suppose that there was a city of Christians, and a bomber flew over the city, and the guy at the controls tripped and accidentally armed and dropped a bomb, and wiped out the city: is that God's will? What does God think of that?"

His answer in addition to the above cited the Flood, Soddom, and Nineveh.

Because we all know that God's response to the Flood was, "I REALLY liked that, it was AWESOME, it satisfied my will and purposes to obliterate my creation!"

Once you have drunk the "but muh sovrintee" Kool-Aid you cannot escape the argument that literally everything that happens is not just God's will in some philosophical sense, but His will in the sense of "things that bring him pleasure."

More from Trading

Trader knight
@Traderknight007

A thread on SCALING IN - OUT METHOD -

What is scaling in - out?

1. Scaling in is adding on to the positions when they move in our favor (Pyramiding).

2. Scaling - out is exiting the portion of the position when the trade moves in our favor.

I have explained about pyramiding in previous tweets.

// Why use scaling out instead of exiting all position at once ?

When you are using ALL - out method where you exit positions at once, mostly you use wider Trail SL as you want to capture big moves and exit all when trail sl hits.

The problem with this method is that either you make too big or many times your medium size winners turns out to become Scratch trades.

So, when we use the scaling out method, we are trying to capture most of our medium size trades , so that they do not turn into scratch trades.

// How to use scaling out method -

Say we have to got a signal to enter in a trade, and we have to buy 1200 qty according to our Position sizing.

So, we have to divide this 1200 qty into parts, how much? It depends on you.

We can divide into 3 parts, each part 400 qty.

Trader knight
@Traderknight007

FEAR - It’s the re-experience of failure in advance.

Many traders face the issue of Not entering in trades because of fear.

A thread on How to pull the trigger when the opportunity knocks.

Lets First start from knowing the cause of this "FEAR" of pulling the trigger.

A traders goes through many phases before becoming Profitable.

The first phase is the " APUN HI BHAGWAN HAI" phase-

When we first begin Trading, we don’t know any concepts, we don’t know about the risks , the dangers.

So we start trading, and like most guys by beginners luck we start making good, we start to calculate how much money we will make in next 1yr, 5 yrs, Greed start to Hop in.

We get introduced to Various instruments, F&O, LEVERAGE.

We take big positions as we don’t have any FEAR cause we haven't seen those bad phases yet.

Now we get the Big blow, account down -50%, or in many cases wiped out.

The first phase ends here.

Now we know How the market can kick our ass, we now know the risk that comes with those big positions.

"THE LEARNING PHASE"-

Now we know that we were just lucky initially and now we have to learn why we get those losses, so we start learning concepts , fundamental, Technicals.

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Trader knight
@Traderknight007

A thread on Risk and Returns

Trader X -

Net-worth - 5 Cr
Trading capital - 25 lakh

Trader Y -

Net-worth - 30 lakh
Trading capital - 25 lakh

Trader X take risk of 2% per trade and he makes about 30-40 % Return on trading capital per month,

Whereas Trader Y only risk 0.25% per trade and he makes about 3-4 % on Trading capital per month.

Trader Y saw how much trader X is making with the same amount of capital that he has.

He is frustrated with his mediocre results as compared to Trader X, though he don’t know the fact that Trader X Is only trading with 5 % of his total net worth.

Trader X has much more risk taking ability in Rupee terms as compared to the Trader Y because he has higher net-worth.

Trader X will not have much impact when he goes into deep Drawdowns , 40-50% where as if the Trader Y goes below 15% DD , it will have deep psychological impact on him.

Even if the Trader X makes 100% return on his trading capital , turns 25 lakh into 50 lakhs ,

Aditya Todmal
@AdityaTodmal

Technical Analysis and 3 Strategies to deploy for Aggressive, Moderate, and Conservative Traders.

🧵 Weekly Bank Nifty Analysis for 8th December Expiry:

To form a view, let's have a look at:

1. Multi-timeframe Technical Analysis
2. Option Chain Data

Also, 3 strategies to deploy for:

1. Aggressive Traders (2.6%)
2. Moderate Risk Traders (1.3%)
3. Low-Risk Traders (0.8%)

1. Technicals

Let's start by doing some basic technical analysis.

We'll look at:

• Weekly charts.
• Daily charts.
• Hourly / 60 min charts.
• 15 min charts.

1. Weekly-

• The market has given 4 continuous green closes, so not expecting a big momentum on upside.

• This week my view is that it can take a pause.

• Longer term trend is super bullish.

• Any dip will towards 41800 will be a retest, and should be used to go long.

2. Daily:

• Candlestick pattern—Hanging Man

• Chart Pattern—Breakout Failure

• A pin bar candle is very powerful but only after a downmove.

• Here it forms near the top of upmove.

• Means some sellers are present. Below 43000 can sell calls above 43600 for the week.

Sohaib Albadawee
@albadawee

Everyone should own a digital asset that earns $2,000 per month.

Here are 10 dead-simple ways you can make your First $1 online (from people who actually did it):

🐦 Analyze viral Tweets

1. Get Twemex (free chrome extension)
2. Find influencers with viral tweets
3. Identify why they went viral
4. Put your analysis on a document.
5. Upload it to Gumroad
6. Sell it

H/t @BrianFOConnor

🔢 Extract data from yellow pages into excel

1. Find a B2B/B2C niche that needs offline data
2. Choose a digital platform (Excel, Airtable ..)
3. Move the data to the digital platform
4. Hire someone on Fiverr to do it
4. Sell it on gumroad

H/t @SachinRamje

🎨 Design flyers and graphics

If you are good at designs:

1. Find a niche (ex: Vegan resturants)
2. Create a profile on Upwork
3. Upload a portfolio
4. Start with a low charge per hour/design
5. Steadly increase your charge

H/t @abdussalampopsy

🏋️ Become a coach

1. Decide on a target persona
2. List down your achievements
3. Update your social profiles
4. Create a calendar account
5. Create content with CTA to book a call

H/t @OllieEmberson

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WORLD OF SANATAN DHARM...
@world_sanatan

UNTOLD STORY OF QUEEN BHAVASHANKARI OF BENGAL - A 🧵u must read

Know the role of Naga Sadhus

PART-1

One of the most underrated empires to ever grace India is the kingdom of Bhurshut from central Bengal.

1/

A medieval powerhouse this kingdom stood firm against the Pathan invasion from Orissa twice, and with each time devastating the enemy forces.

Along with this, we also have to note that this was the time when the empire was under the reign of a widowed queen named Bhavashankari.

She wasn’t even born in a royal family and yet she achieved what most of the kings couldn’t do

This begs the question, why does no one remember this great kingdom?

3/

Bhurshut empire thrived from 15th century till late 18th century as an independent kingdom while acting as tributary state with full autonomy.

4/

What’s even more puzzling is that no one knows about the great queen Bhavanshakari who thrashed the Pathans single handedly without the aid of their allies.

5/

$Anu Satheesh \U0001f1ee\U0001f1f3$

Anu Satheesh 🇮🇳...
@AnuSatheesh5

Stories of Guruvayurappan
Shri Krishna Leela

This is a beautiful story of Guruvayurappan. Once there lived in Guruvayur a poor family. Kitta, his wife & kids were struggling for their daily needs. With only a coconut tree in house, he earned a living by selling coconuts.

Kitta was from a low caste family. He was a great devotee of Guruvayurappan. Everyday before going to work he always prayed infront of a picture of Guruvayurappan in his house. His only wish was to worship at Guruvayur & have annadanam in temple. But he was not allowed there

It was Utsavam time in Guruvayur. From far behind kitta and family worshipped Guruvayurappan. Annadanam was given daily and no one was left empty stomach. Only Kitta didn't receive. That night, it was only Kitta's family who was sleeping without food. After temple nada closed

Shri Krishna, dressed himself as a Brahmin went to temple Kitchen. He packed food and went directly to kitta's house. Reaching Kitta's house, Shri Krishna told he was sent by a cook of Guruvayur temple and gave them the food he packed. Kitta and family was very happy seeing food.

When Kitta finished his food, Brahmin asked it will be better if he get a tender coconut( karikku)to drink. Kitta climbed the tree and gave all coconuts to him. After having 1 tender coconut, the Brahmin asked to bring remaining coconuts to Guruvayur temple the next day.

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Suchi Sharma
@Suchi_sharma_

#THREAD
1.Meenakshi Amman Temple(472ft High)also called as Meenakshi Sundareswarar is a famous Hindu temple located on the southern bank of Vaigai River in temple city of Madurai, #TamilNadu.It is dedicated to Parvati(Meenakshi)& her consort Shiva(Sundareswarar). @LostTemple7

2.Madurai Meenakshi Sundareswarar temple was built by King Kulasekara Pandya (1190-1216 CE).This popular temple visits over 15000 visitors daily & around 25000 on #Friday !Friday sees the most number of devotees visit the temple with the number going as high as +25,000.

3.Meenakshi Temple also hosts an annual festival called Meenakshi Thirukalayanam that is held in April. A celestial wedding of the god and goddess marks the end of the festival. About 1 million devotees visit the temple during this festival.

4.the temple has been tagged as one of the seven wonders of India along with stunning Architecture.The temple is built using Dravidian South Indian style of architecture, and is one of the most impressive temple structures in South India.

5.The principle deity here is MEENAKSHI, a form of Goddess Parvati. The idol of the goddess is carved in emerald hued stone. The Meenakshi idol has 3 breasts as Meenakshi was born with three breasts and was blessed that the 3rd breast would vanish once meets right man of her life

$Lu_lu\U0001f498$

Lu_lu💘
@luciame16

Some thoughts on episode 54 of #Hercai

If you ever cross the distance and come to me, come with love that blooms in your heart.
~ Şems-i Tebrizi

#Reyyan #Miran #ReyMir #EbruŞahin #AkınAkınözü
#HercaiThoughts

1
I have to make a note before writing about this episode. I was the person (still am) who thinks that bringing back D. was a bad idea. I repeat it that for me the writing of S1 and S2 is like tossed into the bin with that plot evolution, but they had to invent something+
#Hercai

2
+ to be able to continue to prolong the general story after Aslan’s story did not work out. All the suffering of M., all the crying seems for “nothing” for two seasons and we viewers are also kind of fed up in seeing him cry all the time when with the upcoming episodes+
#Hercai

3
+he is justified the most to cry. With her resurrection now the attention shifts back to Miran’s storyline and I don’t know if I like this to be honest. This said, Dilsha is here and we have to deal with her.
#Hercai

4
So, my comments are going to be how I find they wrote her into the story, the details we get to know, the flashbacks we get to see, the way it was filmed and directed, with leaving out if I agree on it or not but describing along the way what I saw.
#Hercai

Carol Forden
@CarolForden

1. The major problem most startups face is marketing and the ability to carve out a niche, find and retain paying customers.

Even with a stellar developer team and a stellar product, your startup may not grow or survive without a great marketing and sales teams.

2. Start growing your audience before you’ve a product or an idea.

You should start promoting yourself and building your audience before you have a finished product or even before you have a great idea that you want to build.

3. Don’t wait to start building your audience after you’ve launched a product.

Most first-time developers actually ignore marketing.

They’re oblivious to the challenge of attracting people to take a look at something they’ve created.

4. At least until they see their first project crash and burn within hours of the launch.

There are so many times that I have seen developers spend countless hours building something, releasing it with no fanfare...

5. and only then trying to figure out how to promote it by asking marketing questions on Indie Hackers, Quora or Hacker News. Don’t make that mistake.

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