The allegations were that as a result of her making a police complaint, (1) the police were seeking to urgently speak to me.
A statement about Stephanie Hayden.
In January I became aware that Ms Hayden (who monitors this account despite being blocked) had made a series of defamatory allegations about myself and my wife.
The allegations were that as a result of her making a police complaint, (1) the police were seeking to urgently speak to me.
Finally (3) that police attended my home address in November, where my wife mislead them as to my whereabouts.
The police “complaint” was nothing more than Hayden making yet another vexatious complaint to the police, as Hayden routinely does.
The police did not speak to me on 26/12/20, as alleged, or at all.
I made it clear a mistake has been made and Hayden was acting unwisely to repeat allegations which were unfounded.
More from For later read
1. The death of Silicon Valley, a thread
How did Silicon Valley die? It was killed by the internet. I will explain.
Yesterday, my friend IRL asked me "Where are good old days when techies were
2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work
3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics
4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things
5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley
How did Silicon Valley die? It was killed by the internet. I will explain.
Yesterday, my friend IRL asked me "Where are good old days when techies were
Where are good old days when techies were libertarians.
— Cranky (@rushingdima) January 9, 2021
2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work
3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics
4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things
5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley
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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Department List of UCAS-China PROFESSORs for ANSO, CSC and UCAS (fully or partial) Scholarship Acceptance
1) UCAS School of physical sciences Professor
https://t.co/9X8OheIvRw
2) UCAS School of mathematical sciences Professor
3) UCAS School of nuclear sciences and technology
https://t.co/nQH8JnewcJ
4) UCAS School of astronomy and space sciences
https://t.co/7Ikc6CuKHZ
5) UCAS School of engineering
6) Geotechnical Engineering Teaching and Research Office
https://t.co/jBCJW7UKlQ
7) Multi-scale Mechanics Teaching and Research Section
https://t.co/eqfQnX1LEQ
😎 Microgravity Science Teaching and Research
9) High temperature gas dynamics teaching and research section
https://t.co/tVIdKgTPl3
10) Department of Biomechanics and Medical Engineering
https://t.co/ubW4xhZY2R
11) Ocean Engineering Teaching and Research
12) Department of Dynamics and Advanced Manufacturing
https://t.co/42BKXEugGv
13) Refrigeration and Cryogenic Engineering Teaching and Research Office
https://t.co/pZdUXFTvw3
14) Power Machinery and Engineering Teaching and Research
1) UCAS School of physical sciences Professor
https://t.co/9X8OheIvRw
2) UCAS School of mathematical sciences Professor
3) UCAS School of nuclear sciences and technology
https://t.co/nQH8JnewcJ
4) UCAS School of astronomy and space sciences
https://t.co/7Ikc6CuKHZ
5) UCAS School of engineering
6) Geotechnical Engineering Teaching and Research Office
https://t.co/jBCJW7UKlQ
7) Multi-scale Mechanics Teaching and Research Section
https://t.co/eqfQnX1LEQ
😎 Microgravity Science Teaching and Research
9) High temperature gas dynamics teaching and research section
https://t.co/tVIdKgTPl3
10) Department of Biomechanics and Medical Engineering
https://t.co/ubW4xhZY2R
11) Ocean Engineering Teaching and Research
12) Department of Dynamics and Advanced Manufacturing
https://t.co/42BKXEugGv
13) Refrigeration and Cryogenic Engineering Teaching and Research Office
https://t.co/pZdUXFTvw3
14) Power Machinery and Engineering Teaching and Research
