Binary Numbers: Why not just use binary numbers?!

I’m sure that I am missing something here, and am about to ask a ‘stupid’ question, but here goes…

An often used method when memoring binary numbers is to take 3 at a time and convert them into a number and then use your image that corresponds to that image.

eg. 001010 would be 001 010 which could be pencil (1) and duck (2)

Why not just use the actual binary number itself and then convert it into an image.

For example:

0000001 =1 = pencil (or whatever)
0000011 =3 = butterfly
1000000=64 = Plate of sausages (or whatever image you use for 64)

This would enable using 1 image for 7 digits and 21 digits for 1 loci if using 3 images per loci.

(if you have 128 images, then this could be 8 digits etc.)

I realize there is a downside in having to convert the binary number to ‘normal’ numbers each time, but with practice that should not take long.

Am I missing something here?


This is actually done a lot of times :slight_smile: my own binary system works like this, and many others I have seen do as well


Conversion is indeed an issue, I think. If there were a way to set the binary number in a standard form, easily recognizeable, it might work. Like,

Sorry, but I don’t quite understand exactly what problem you are referring to.
(and hi!)

The problem is that if you have a long line of 01001100001001000101, it is much easier to chunck by groups of 3 and instantly view its value than by groups of 7. Also, As soon as you reach over 100 in value, you have a 3 digit number to memorize the 7 binaries.
With say 776, a 3 digit number, you can memorize 9 binaries…

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“normal” ie decimal numbers don’t convert as easily from binary. Octal and Hex are natural conversions. In computer science one moves easily between the the three (though octal is not much used today)

Three binary digits are equivalent to one octal - digit.
Four binary digits are equivalent to one
hex digit.

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That’s actually your image for the number 12… you do “take 3 at a time” but you do it twice: once for the tenth digit and then for the unit digit. This gives you 18 digits per loci; 3 for each P, A, and O.

Sorry, but your math is off here… 1 000 000 is actually the first of the 7 digit numbers. The range from 000 000 to 111 111 is already 64 different numbers. If you had 128 images you’d be talking about 7 digits / 21 per loci (not 8 / 24)… the range from 1 000 000 to 1 111 111.

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