Thinking clearly about technological progress versus technological hype requires us to consider the question of why people buy and adopt new technologies in general. A type of academic analysis called the technology acceptance model identifies two notable factors: perceived ease of use and perceived usefulness. That is, we embrace new technologies when they seem easy enough to use and when we believe they will help us do something worthwhile.

in my experience it has its head has a similar pattern to what henry ford did to the automobile 01:20:31 industry so before him it was basically like a few people built one car at a time and he basically broke up the process so you had like i don't know how many but 01:20:43 like dozens people a dozen people and each individual had just one one motion to do and the industrialization specialization right yeah and the the result was that 01:20:56 each individual didn't know anything and all the knowledge was in the process and my suspicion is that the promise of the settle custom that the paper 01:21:08 just write themselves it's like a very prominent process a promise around the telecast method lead to the to the thinking that you basically reduce your 01:21:20 the need for yourself and all the intelligence all the proficiency is put into a system and you have something doing for you and you treat yourself more like a like a 01:21:33 worker on a an assembly line just being and having all just a simple a simple motion that you have to do and then the end product will be 01:21:45 but will be very complex and very sophisticated because the intelligence is embedded in the process

i think that there are many people presenting just the saddle custom method or what uh they think that zelda custom method is but you never see like uh 00:03:18 how they actually do their own work

but i i think the first couple of hundred notes are more like a collection and you look 00:34:29 for um connections and there are some but you remember them because yes the amount where it's where it doesn't surprise you 00:34:43 uh it's more you know where they are and i think the from 500 on um there's a shift um and then you need to uh figure out how to um 00:34:58 find them again so the index or some kind of system becomes more important and i think a couple of thousand notes and uh you're 00:35:12 automatically turning to your set of custom [Music] as the place where you will likely find some kind of connection

Competent scientists do not believe their own models or theories, but rather treat them as convenient fictions. ...The issue to a scientist is not whether a model is true, but rather whether there is another whose predictive power is enough better to justify movement from today's fiction to a new one. Steve Vardeman, 1987. Comment. Journal of the American Statistical Association 82 : 130-131. [kw]

Its possible abuse is no argument against its proper use on the side of truth and justice.