It was first described to me by Erik Martin, one of Reddit's first community managers:
The emergence of many new hypocrisies typically heralds an emerging new cultural synthesis.
Are you disturbed that you agree with one of those viewpoints? Or perhaps that other people you respect do?
1/x
\u2014 HYPOCRISY \u2014
— emily (@emnode) January 9, 2021
\U0001f4cdFree market conservatives outraged that a private social media company can decide who has access to its service.
\U0001f4cdSo called liberals overjoyed at the prospect of powerful corporations taking control of the content and information we're allowed to see.
It was first described to me by Erik Martin, one of Reddit's first community managers:
We have become so accustomed to the notion of “free speech, except” that we do not realize that free speech is ALWAYS limited, and that every limit arose from an Omega Event.
Early on any platform’s history, spam is an Omega Event: it will ruin the platform unless it is curtailed. No principle other than survival is relevant.
Any platform (or organism) that does not prioritize survival, explicitly or implicitly, will die - and so all living platforms do so.
There is no slippery slope, and tech’s actions do not reflect “left vs right” or a backlash by “the powers that be” or any such thing.
Incite an insurrection to stop the lawful and orderly transfer of power in the world’s most powerful democracy.
Tech depends on the continued existence of the United States being, however imperfectly, a democratic nation of laws.
The fact that they continue to take action against other people who support the insurrection is merely them making SURE that this threat is ended.
It was act or die. Tech companies don't thrive in countries where the loser of an election can take power through a coup.
Omega Events don’t mean your old systems aren’t worthwhile or about to be destroyed. It just means it is time to synthesize a new system from first principles.
More from Marketing
How to destroy your competition with Cold Email
Want numbers like this?
I am going to show you exactly how to GUARANTEE your cold emails will convert.
// THREAD //
First, I am going to show you the structure of a killer cold email.
---
{{Quick Question about Company_Name}} <-- Subject line
Hey {{Name}}, [[first line}} <-- individual personalization is key
We just helped ___, a business like yours, do x in y days <-- Case study
I'm 100% certain we can do something similar for you.
Do you have time for a call this week? <-- CTA
--------
Let's break this down.
Our main goal is to not sound automated. (even though it was in a way)
How do we do that?
Highly Personalized First Lines.
We have their:
- Company Name
- First Name
- LinkedIn Profile
I use https://t.co/cotgiyqqLE to scrape this. (not aff)
The better the first line, the better the cold email will convert.
We need 10/10 first lines.
A good offer + a bad first line = 60% open & 8% reply rate
A good offer + a 10/10 first line = 80% open & 20% reply rate
Run the numbers.
Want numbers like this?
I am going to show you exactly how to GUARANTEE your cold emails will convert.
// THREAD //

First, I am going to show you the structure of a killer cold email.
---
{{Quick Question about Company_Name}} <-- Subject line
Hey {{Name}}, [[first line}} <-- individual personalization is key
We just helped ___, a business like yours, do x in y days <-- Case study
I'm 100% certain we can do something similar for you.
Do you have time for a call this week? <-- CTA
--------
Let's break this down.
Our main goal is to not sound automated. (even though it was in a way)
How do we do that?
Highly Personalized First Lines.
We have their:
- Company Name
- First Name
- LinkedIn Profile
I use https://t.co/cotgiyqqLE to scrape this. (not aff)
The better the first line, the better the cold email will convert.
We need 10/10 first lines.
A good offer + a bad first line = 60% open & 8% reply rate
A good offer + a 10/10 first line = 80% open & 20% reply rate
Run the numbers.
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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.
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.