Seeking the next most readable font after Lexend

[Gand]

Originally Posted by DNSB

A quick Google search using 'Charis Sil Modified Larger site:mobileread.com' (without the quotes) led to messages that Jon posted in 2013 in the Summary of Modified Fonts thread. The link in message #23 in that thread still works (this is the version with the file names that have the -Regular, -Bold, etc. naming convention).

Good Luck!

A bit ashamed for not finding the link myself, but very grateful for your help and the search tip!!

I'm very happy with this font, but if JSWolf thinks the new font ChareInk is better, I would love to see a ChareInk Larger version!!

Thanks!

[Fiat_Lux]

Originally Posted by droopy

Thanks for your reply. I've just clicked on your Literat Book link. I see that it has serifs. According to Lexend.com, serifs add cognitive noise.

Whether or not serifs are cognitive noise depends quite literally, on where you were born, and what the first language you were taught to read is.
* For those born in the US, and taught English as their first reading language, serifs are cognitive noise;
* For those born in the US, and taught Spanish or French as their first reading languages, serifs are not cognitive noise;
* For those born in Asia, Europe, Oceania, or Africa, serifs are not cognitive noise, regardless of what the first reading language is;

[Fiat_Lux]

Originally Posted by Dazrin

Just curious if anyone is familiar with how these tests are done. Is the testing that Lexend describes reasonable and valid?
...
Anyway, looking for some insights on this type of study. Thank you!

Studies of this type are good for manufacturing headlines that make your font look good.

Change the following, and the resulting list of fonts and typefaces will change:
* Where the individual was born;
* What the first language that the individual learned to read;
* Size of the paper (A1 vs A4 vs A6);
* Type of publication (newspaper, magazine, brochure, book);
* Genre of material (academic report, mind-candy, literature, poetry);

* Language of material;
* Vocabulary used in the material;
* Syntax used in the material;

* Sequence of fonts and typefaces being read;
* Number of times the same font is repeated;
* Number of times the same typeface is repeated;