Thoughts on Expanding to a 10,000 Image Mnemonic System
Yesterday, I wrote down some thoughts on phonetic memory systems. The main part of my system is made up of 2,688 one-syllable words that I think of as a kind of artificial language.
A number like 211614127 is pronounced “NIT-BIR-TUK”. The artificial word, NIT, means Magneto, BIR is beer, and TUK is toucan. The reason behind the one-syllables is explained in the previous post. Basically, some cultures apparently have a greater short term memory capacity because their numbers can be pronounced more quickly.
Some people have been talking about creating 10,000 image systems. I’ve been thinking that if I were to expand my decimal system from 1,000 to 10,000 images (which I probably won’t), I would try to keep the phonetics the same.
- 0000 = SOSO
- 0001 = SOSI
- 0002 = SOSU
- 0010 = SOTO
- 0100 = SISO
- 1000 = TOSO
- 1100 = TISO
- 1112 = TITU
A question I have is that, if the time it takes to pronounce the syllables does have an effect on memory, would the extra syllables slow things down?
In my 3-digit system, 6 digits are stored in 2 syllables. In a 4-digit system, only 4 digits would be stored in 2 syllables.
A point against the 3-digit system is that it has an extra consonant to pronounce. Which of the following would be faster?
- NIT-BIR = 6 digits
- NITI-BIRI = 8 digits (flows better)
Also, do diphthongs slow things down? NAITAI-BAIRAI takes longer to pronounce than NITI-BIRI. Is it possible to eliminate diphthongs from a system, maybe by borrowing vowels from other languages?
I don’t think I’m going to try to expand to 10,000 images, because it’s already taking too long to to finish a system with fewer than 3,000, but it’s interesting to think about.