Psychographic segmentation is an evolution of psychoanalysis; in particular Jaques Lacan, whose work in the 50s took the general ideas of Freudian psychoanalysis and applied them to larger phenomenon -- namely how language and symbolism can be used to pluck emotional strings and influence the minds of groups of like-minded people. An ad man in the 1950s would certainly have been aware of his work. The folks from CA have gone on record about the influence of Lacan, so it's not remotely a stretch.
this is a little dense, but the preface has a nice statement on neurobiology, and wikipedia has some interesting articles on neuroscience and cognitive psychology. I suppose I'm looking for a popsci book on how computer science, psychology, neuroscience, etc all came together in the last decade to become so effective in hacking our brains and influencing our decisions. Or perhaps it's been there all along just now it's getting more attention.
> Or perhaps it's been there all along just now it's getting more attention.
It's been a slow build to add layers of targeting on as the media machine grows. It started out with time-based targeting by showing ads for home goods during the daytime (e.g. soap operas were used to sell soap to housewives). Cable TV was a big step forward -- you could craft shows that appealed to narrower demographics like 8-14 year old boys and then sell ads targeting those demographics.
Psychographic segmentation became prevalent along with cable TV and direct mail, but it was limited to a few dozen "personas" until Google came along and allowed keyword targeting, which then gave way to social targeting. It got exponentially more effective with each step, which is why it seemed to come out of nowhere.
Whats most impressive is the brain's ability to absorb that much information at such speed. Somehow I was able to discern the numbers 120 and 450 in that snippet, but not the rest. I suppose with years of practice this might be possible. It could also be one of those things where the brain compensates by developing other processing areas. This strikes me as an insight into the future of learning and information processing.
Consider the amount of mental energy that goes into processing visual input. Not to suggest what he does is easy (not at all), but vision is an enormous drain on human processing power.
I bought a NF jacket thinking it would be something that could last me a good 5+ years. The inner padding around the collar just desintegrated after a few weeks and looks like a white plastic band. The outer shell absorbs moisture and is far from the water repellent/absorver it's advertized. Maybe I'm chasing old unicorns but these "technical" brands are not what they used to be say 20 years ago, despite their higher prices.
I think it's fairer to say that TNF has expanded also to include a whole lot of lifestyle clothing.
They continue to offer quite a lot of expedition-ready gear (tents, waterproof shells, etc.) that's definitely not lifestyle stuff - mainly under the "Summit" sub-brand.
e.g. does the shell have a hood that's sized to fit over a climbing helmet? Probably "serious".
Absolutely, I concluded the same some time ago when I saw it being sold en masse in major retailers in the US. Most of these brands now seem synonymous with some status/lifestyle statement.
The inner padding around the collar just desintegrated after a few weeks and looks like a white plastic band. The outer shell absorbs moisture and is far from the water repellent/absorver it's advertized
It could be fake. North Face is one of the most problematic brands for it. Rumour has it the fakes are made in the same factory on the same production lines, just of low quality materials. Never buy North Face online, from a market stall, or wherever.
note that this may cause delays with whatsapp in sending/receiving messages. it also sometimes delays placing/receiving calls. you can temporarily disable noRootFirewall for critical times.
I don't know how whatsapp uses the facebook domain. It clearly needs the facebook domain to work optimally, but it is not critical.
Last year parts of fbs service went down. What's interesting is that WhatsApp, Instagram and Fb all broke in the same way in that people were unable to send or receive photos.
>United States control of the Philippines was never intended to be permanent. From the beginning, the colonial mission was seen as one of paternalistic "tutelage"
That snippet sounds a little self-serving, "we're just a force of good and we want good for all". The situation is more complicated, and the more powerful countries -including the US- around the world at that time were all in pursuit of expanding their territory and power.
https://en.wikipedia.org/wiki/New_Imperialism
We used that book for a course and I found it among my less favourite ones. its been a few years since I used it, but I remember it shallow and uninspiring. not trying to start an argument here, maybe just an outlier opinion since this seems a standard textbook.
It was one of my course books as well, but I think it's aimed at the American market and style of learning/presentation. I much preferred Stroud's "Engineering Mathematics" which was a course book for engineers at my university (I studied physics).
Ouch! Boas is maybe not as inspiring as Feynman. But when you see a copy on someone's bookshelf. It tends to be just as dog-eared and spine-cracked as Surely You're Joking
Another resource I just thought of. While not a textbook per se. Math competition problems from previous years can be very stimulating ;)
>I have my doubts there will be cushy FAANG jobs for everyone capable of playing around with network architectures in a few years.
Presumably because technical needs of FAANG might be moving in other directions.
Could someone comment why this might be the case, and what other fields might look relevant
I think that the other force is that the skills that are being created by ML Ph.D programs get commodified.
I don't think this will happen, because typing "import tensorflow.keras.*" isn't the skill that an ML Ph.D develops, and it is the part of the skill set that is (and will be) commodity along with the automl stuff.
Constructing a problem, handling the data and running a proper process is harder, and it's the value that will put processes that use ML at risk, and deliver differentiating value for the ones where it works.
pg tips used to sell a tea that came in a brown/oragne box. It was rich and tasty but somehow they discontinued it. Lipton and many teas in the US taste of cardboard. It baffles me how people find anything in it to keep buying it.
I just bought a 320 pack of Lipton black tea. I don't drink it for the caffeine. To me the black tea tastes good, but I know that better tea exists. I'll have "good tea" when I visit friends but I'm just not personally interested in hunting down the store in Dalat that my friend likes to get her tea from. Lipton still tastes good to me.
It’s part of people’s morning habit and tough to break. My grandparents drank a ton of Lipton or Tetley tea. I literally didn’t realize there was anything else until college!
Lol that's definitely what happened. Looked back after this and had a laugh at myself. It's been a long day. I appreciate the defense but I don't find the "whoosh" comment offensive. I'll own up to my lapse.
Any reference from the 50s?
Also, anyone care to recommend modern references that go into these topics? (David Ogilvy comes to mind but that's from the 60s).