This research one-ups our question and asks: HOW DO DOGS KNOW THAT OTHER DOGS ARE DOGS??
I JUST CAME ACROSS THE MOST ADORABLE PEER-REVIEWED RESEARCH I HAVE EVER SEEN AND HAD TO MAKE A THREAD ABOUT IT HAVE AN AMAZING WEEKEND!!!!
This research one-ups our question and asks: HOW DO DOGS KNOW THAT OTHER DOGS ARE DOGS??
(except for the cat.)
ALSO I FULLY REGRET EVERY TIME I LABELED MY HUMAN PARTICIPANTS DUMB NAMES LIKE "105" AND "106" WHEN I COULD HAVE CALLED THEM "BAG" AND "VODKA"!!!
More from For later read
How I created content in 2020
A thread...
Back in Aug 2016, I started creating content to share my experiences as an entrepreneur.
Over 3 years I had put out 1,200+ hours of content - posting every week without
Little did I know that something I started almost 4 years back would give my life an entirely new direction.
At the end of 2019, my biggest platform was LinkedIn with ~700K followers.
In Jan 2020, I decided to build a team that would help me with the content.
I ran a month long recruitment drive to hire a team of interns.
It comprised 4 detailed rounds - starting with my loved 20 questions, then an assignment, then a WhatsApp video round and finally F2F.
Through 1,200+ applications, I finally selected 6 profiles, starting March.
I am a firm believer in @peterthiel's one task, one person philosophy
So the team was structured such that everyone was responsible for ONLY one task
1. Content ideas
2. Videography
3. Video editing
4. LinkedIn (+TikTok) distribution
5. FB+IG distribution
6. YouTube distribution
A thread...
Back in Aug 2016, I started creating content to share my experiences as an entrepreneur.
Over 3 years I had put out 1,200+ hours of content - posting every week without
August 2016.
— Ankur Warikoo (@warikoo) October 2, 2020
It has been 3 months since LinkedIn had launched its video feature.
And I had been waiting for it to be activated on my profile.
A thread...
Little did I know that something I started almost 4 years back would give my life an entirely new direction.
At the end of 2019, my biggest platform was LinkedIn with ~700K followers.
In Jan 2020, I decided to build a team that would help me with the content.
I ran a month long recruitment drive to hire a team of interns.
It comprised 4 detailed rounds - starting with my loved 20 questions, then an assignment, then a WhatsApp video round and finally F2F.
Through 1,200+ applications, I finally selected 6 profiles, starting March.
I am a firm believer in @peterthiel's one task, one person philosophy
So the team was structured such that everyone was responsible for ONLY one task
1. Content ideas
2. Videography
3. Video editing
4. LinkedIn (+TikTok) distribution
5. FB+IG distribution
6. YouTube distribution
There is some valuable analysis in this report, but on the defense front this report is deeply flawed. There are other sections of value in report but, candidly, I don't think it helps us think through critical question of Taiwan defense issues in clear & well-grounded way. 1/
Normally as it might seem churlish to be so critical, but @cfr is so high-profile & the co-authors so distinguished I think it’s key to be clear. If not, people - including in Beijing - could get the wrong idea & this report could do real harm if influential on defense issues. 2/
BLUF: The defense discussion in this report does not engage at the depth needed to add to this critical debate. Accordingly conclusions in report are ill-founded - & in key parts harmful/misleading, esp that US shldnt be prepared defend Taiwan directly (alongside own efforts). 3/
The root of the problem is that report doesn't engage w the real debate on TWN defense issues or, frankly, the facts as knowable in public. Perhaps the most direct proof of this: The citations. There is nothing in the citations to @DeptofDefense China Military Power Report...4/
Nor to vast majority of leading informed sources on this like Ochmanek, the @RANDCorporation Scorecard, @CNAS, etc. This is esp salient b/c co-authors by their own admission have v little insight into contemporary military issues. & both last served in govt in Bush 43. 5/
This is an excellent report, and I'm glad to have joined the study group. The central focus on avoiding war is understandable--a US-China war would be catastrophic and should be avoided. But protecting Taiwan's security and prosperity requires doing more. 1/x https://t.co/P0Sg4LJcpV
— Bonnie Glaser / \u845b\u4f86\u5100 (@BonnieGlaser) February 12, 2021
Normally as it might seem churlish to be so critical, but @cfr is so high-profile & the co-authors so distinguished I think it’s key to be clear. If not, people - including in Beijing - could get the wrong idea & this report could do real harm if influential on defense issues. 2/
BLUF: The defense discussion in this report does not engage at the depth needed to add to this critical debate. Accordingly conclusions in report are ill-founded - & in key parts harmful/misleading, esp that US shldnt be prepared defend Taiwan directly (alongside own efforts). 3/
The root of the problem is that report doesn't engage w the real debate on TWN defense issues or, frankly, the facts as knowable in public. Perhaps the most direct proof of this: The citations. There is nothing in the citations to @DeptofDefense China Military Power Report...4/
Nor to vast majority of leading informed sources on this like Ochmanek, the @RANDCorporation Scorecard, @CNAS, etc. This is esp salient b/c co-authors by their own admission have v little insight into contemporary military issues. & both last served in govt in Bush 43. 5/
This response to my tweet is a common objection to targeted advertising.
@KevinCoates correct me if I'm wrong, but basic point seems to be that banning targeted ads will lower platform profits, but will mostly be beneficial for consumers.
Some counterpoints 👇
1) This assumes that consumers prefer contextual ads to targeted ones.
This does not seem self-evident to me
Research also finds that firms choose between ad. targeting vs. obtrusiveness 👇
If true, the right question is not whether consumers prefer contextual ads to targeted ones. But whether they prefer *more* contextual ads vs *fewer* targeted
2) True, many inframarginal platforms might simply shift to contextual ads.
But some might already be almost indifferent between direct & indirect monetization.
Hard to imagine that *none* of them will respond to reduced ad revenue with actual fees.
3) Policy debate seems to be moving from:
"Consumers are insufficiently informed to decide how they share their data."
To
"No one in their right mind would agree to highly targeted ads (e.g., those that mix data from multiple sources)."
IMO the latter statement is incorrect.
@KevinCoates correct me if I'm wrong, but basic point seems to be that banning targeted ads will lower platform profits, but will mostly be beneficial for consumers.
Some counterpoints 👇
That targeted ads allow for "free" products for consumers is a common talking point and we're going to see more of it in the coming months.: https://t.co/Xty3My3f0u (1/14)
— Kevin Coates (@KevinCoates) February 16, 2021
1) This assumes that consumers prefer contextual ads to targeted ones.
This does not seem self-evident to me
Great post by @Sherman1890 got me thinking about the future of targeted ads.
— Dirk Auer (@AuerDirk) February 12, 2021
More and more tools (privacy labels, ad blockers, GDPR) enable consumers to opt-out from targeted ads - can limit the data platforms receive or block ads altogether.
The end of targeted ads? \U0001f9f5\U0001f447 https://t.co/MA6A3BrUWq
Research also finds that firms choose between ad. targeting vs. obtrusiveness 👇
If true, the right question is not whether consumers prefer contextual ads to targeted ones. But whether they prefer *more* contextual ads vs *fewer* targeted
2) True, many inframarginal platforms might simply shift to contextual ads.
But some might already be almost indifferent between direct & indirect monetization.
Hard to imagine that *none* of them will respond to reduced ad revenue with actual fees.
3) Policy debate seems to be moving from:
"Consumers are insufficiently informed to decide how they share their data."
To
"No one in their right mind would agree to highly targeted ads (e.g., those that mix data from multiple sources)."
IMO the latter statement is incorrect.
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Keep dwelling on this:
Further Examination of the Motif near PRRA Reveals Close Structural Similarity to the SEB Superantigen as well as Sequence Similarities to Neurotoxins and a Viral SAg.
The insertion PRRA together with 7 sequentially preceding residues & succeeding R685 (conserved in β-CoVs) form a motif, Y674QTQTNSPRRAR685, homologous to those of neurotoxins from Ophiophagus (cobra) and Bungarus genera, as well as neurotoxin-like regions from three RABV strains
(20) (Fig. 2D). We further noticed that the same segment bears close similarity to the HIV-1 glycoprotein gp120 SAg motif F164 to V174.
https://t.co/EwwJOSa8RK
In (B), the segment S680PPRAR685 including the PRRA insert and highly conserved cleavage site *R685* is shown in van der Waals representation (black labels) and nearby CDR residues of the TCRVβ domain are labeled in blue/white
https://t.co/BsY8BAIzDa
Sequence Identity %
https://t.co/BsY8BAIzDa
Y674 - QTQTNSPRRA - R685
Similar to neurotoxins from Ophiophagus (cobra) & Bungarus genera & neurotoxin-like regions from three RABV strains
T678 - NSPRRA- R685
Superantigenic core, consistently aligned against bacterial or viral SAgs
Further Examination of the Motif near PRRA Reveals Close Structural Similarity to the SEB Superantigen as well as Sequence Similarities to Neurotoxins and a Viral SAg.
The insertion PRRA together with 7 sequentially preceding residues & succeeding R685 (conserved in β-CoVs) form a motif, Y674QTQTNSPRRAR685, homologous to those of neurotoxins from Ophiophagus (cobra) and Bungarus genera, as well as neurotoxin-like regions from three RABV strains
(20) (Fig. 2D). We further noticed that the same segment bears close similarity to the HIV-1 glycoprotein gp120 SAg motif F164 to V174.
https://t.co/EwwJOSa8RK
In (B), the segment S680PPRAR685 including the PRRA insert and highly conserved cleavage site *R685* is shown in van der Waals representation (black labels) and nearby CDR residues of the TCRVβ domain are labeled in blue/white
https://t.co/BsY8BAIzDa
Sequence Identity %
https://t.co/BsY8BAIzDa
Y674 - QTQTNSPRRA - R685
Similar to neurotoxins from Ophiophagus (cobra) & Bungarus genera & neurotoxin-like regions from three RABV strains
T678 - NSPRRA- R685
Superantigenic core, consistently aligned against bacterial or viral SAgs
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.
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.
I am quite different from your style. I follow the market's volatility very closely. I have mock positions in 7-8 different strategies which allows me to stay connected. Whichever gives best profit is usually the one i trade in.
— Sarang Sood (@SarangSood) August 13, 2019
2. Theta falls when market moves.
Falls where market is headed towards not on our original position.
Anilji most of the time these days Theta only falls when market moves. So the Theta actually falls where market has moved to, not where our position was in the first place. By shifting we can come close to capturing the Theta fall but not always.
— Sarang Sood (@SarangSood) June 24, 2019
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.
This week has been great so far. The main aim is to be in the right side of the volatility, rest the market will reward.
— Sarang Sood (@SarangSood) July 3, 2019
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.
There is a difference between theta decay & fall in vega. Decay is certain but there is no guaranteed profit as delta moves can increase cost. Fall in vega on the other hand is backed by a powerful force that sells options and gives handsome returns. Our job is to identify them.
— Sarang Sood (@SarangSood) February 12, 2020
