A system that fools the reader.
I hate systems, media, authors, etc. that fool readers.
assume that readers are too stupid to understand what you write about difficult things.
Thinking that readers should remain stupid and not have to be provided with opportunities to grow.
Deletion of references
Deprives readers of the opportunity to connect to a network of knowledge
In English-speaking countries, references are listed, but sometimes they are removed in the process of translation.
Some publishers do that sort of thing because they think "readers are stupid and don't need references," and it's obnoxious.
Difference in the richness of references between English Wikipedia and Japanese Wikipedia
It is strange that a clear statement of the source, which is common practice in English-speaking countries, is not done in Japanese-speaking countries.
Hide jargon
When there is a concept and a technical term X that is tied to it.
Readers will be confused if you suddenly explain in technical terms.
It is good to explain without using jargon, assuming the reader does not know that jargon.
However, if the terminology is not mentioned at all, the reader loses the opportunity to learn about it
Interested readers will be unaware of the appropriate keywords to look up on their own.
hide the source material
I don't think it's a bad idea to make postcapitalist society a bit more radical and incendiary, or to put The Goal story in an IT-oriented context.
But the author hiding the original story is unforgivable.
It is an act of trying to profit from the wisdom of our forefathers while keeping stupid readers who don't know the original story stupid.
liquid food with a good thirst-quenching effect
A book that should be chewed and eaten well
Books you can read without using your jaw.
baby food
They are treated like infants.
They're making fun of you.
Allow readers to build a network of knowledge within themselves
Clearly indicate the source so that it can be traced.
singularity
Technology that accelerates human intellectual production is what matters.
Specifically, high-speed scientific knowledge sharing via arXiv
[Implementation in natural language
Sharing of source code, sharing of trained models, is happening.
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