Here's the thing, as someone who sees themself both in ad tech & as a privacy advocate: Advertisers who seek personalized targeting will focus on platforms with the most personal data: Facebook & Google. But I don't believe the status quo of ad targeting is the only future of it.
So the loss of audience targeting is another major negative for the open web as opposed to walled gardens who are mostly not affected - silence from privacy advocates. 6/
— Paul Bannister (@pbannist) January 5, 2021
The biggest story in tech no one\u2019s talking about is Uber discovering they\u2019d been defrauded out of $100M - or 2/3 of their ad spend.
— Nandini Jammi (@nandoodles) January 3, 2021
And all bc Sleeping Giants kept bugging them to block their ads on Breitbart. pic.twitter.com/SiS3MndewS
Do Ads Work? An Inquiry.
— Nandini Jammi (@nandoodles) January 4, 2021
In March 2017, @sapna reported that @chase was running ads across 400k sites when they were alerted they were running on hate speech. So they hand-picked 5k sites & deleted the other 395k.
They found NO change in performance. https://t.co/MzSIxjX7y3 pic.twitter.com/0AlKAOVbcF
A Moz author crunchs numbers: while more ads could have been seen by humans we can only be absolutely sure of 8%. https://t.co/8QPBiNaCwg
— Aram Zucker-Scharff (@Chronotope) January 11, 2017
When you try and purchase inventory 70% or more ends up going to these fraudsters, bullshit artists and bad ad tech vendors - https://t.co/1ir5OONMFT, https://t.co/t9JVj1axyb
— Aram Zucker-Scharff (@Chronotope) December 26, 2018
At the end of the day you can't both believe in our current form of capitalism and not believe in Facebook...
— Aram Zucker-Scharff (@Chronotope) August 4, 2020
So I guess I am one of the few people out there who will tell you this but: understanding ad tech has made me a socialist! There's more to society than cheap ads!
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Energy system models love NETs, particularly for very rapid mitigation scenarios like 1.5C (where the alternative is zero global emissions by 2040)! More problematically, they also like tons of NETs in 2C scenarios where NETs are less essential. https://t.co/M3ACyD4cv7 2/10
There is a lot of confusion about carbon budgets and how quickly emissions need to fall to zero to meet various warming targets. To cut through some of this morass, we can use some very simple emission pathways to explore what various targets would entail. 1/11 pic.twitter.com/Kriedtf0Ec
— Zeke Hausfather (@hausfath) September 24, 2020
In model world the math is simple: very rapid mitigation is expensive today, particularly once you get outside the power sector, and technological advancement may make later NETs cheaper than near-term mitigation after a point. 3/10
This is, of course, problematic if the aim is to ensure that particular targets (such as well-below 2C) are met; betting that a "backstop" technology that does not exist today at any meaningful scale will save the day is a hell of a moral hazard. 4/10
Many models go completely overboard with CCS, seeing a future resurgence of coal and a large part of global primary energy occurring with carbon capture. For example, here is what the MESSAGE SSP2-1.9 scenario shows: 5/10
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Here I will share what I believe are essentials for anybody who is interested in stock markets and the resources to learn them, its from my experience and by no means exhaustive..
First the very basic : The Dow theory, Everybody must have basic understanding of it and must learn to observe High Highs, Higher Lows, Lower Highs and Lowers lows on charts and their
Even those who are more inclined towards fundamental side can also benefit from Dow theory, as it can hint start & end of Bull/Bear runs thereby indication entry and exits.
Next basic is Wyckoff's Theory. It tells how accumulation and distribution happens with regularity and how the market actually
Dow theory is old but
Old is Gold....
— Professor (@DillikiBiili) January 23, 2020
this Bharti Airtel chart is a true copy of the Wyckoff Pattern propounded in 1931....... pic.twitter.com/tQ1PNebq7d