People complain that governments or hackers are reading our messages for nefarious purposes. Of course this "reading" is done automatically, in large volume, by machines and NLP (natural language processing) algorithms looking (among other things) at keywords. Hello John, How are you? The advantage is that the text is still very easy to read by a human being, but unless a specific rule is introduced in NLP algorithms to detect such patterns (this means that the trick would be used by many people,) for automated algorithms, it looks like gibberish. And such rudimentary encoding is straightforward to implement.

People complain that governments or hackers are reading our messages for nefarious purposes. Of course this "reading" is done automatically, in large volume, by machines and NLP (natural language processing) algorithms looking (among other things) at keywords. The advantage is that the text is still very easy to read by a human being, but unless a specific rule is introduced in NLP algorithms to detect such patterns (this means that the trick would be used by many people,) for automated algorithms, it looks like gibberish. And such rudimentary encoding is straightforward to implement. It is also more compact than encoding text as images using a screenshot capture tool.

People complain that governments or hackers are reading our messages for nefarious purposes. Of course this "reading" is done automatically, in large volume, by machines and NLP (natural language processing) algorithms looking (among other things) at keywords. The advantage is that the text is still very easy to read by a human being, but unless a specific rule is introduced in NLP algorithms to detect such patterns (this means that the trick would be used by many people,) for automated algorithms, it looks like gibberish. And such rudimentary encoding is straightforward to implement. It is also more compact than encoding text as images using a screenshot capture tool.