### Make Truncation be Rounding

May 22nd, 2016
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When I see a number like "183" the first thing I see is a "1". If I'm looking very quickly, perhaps scanning a column of numbers, that might be all I see, and I'll approximate this number as "100" when "200" would be closer. Yes, truncation isn't the same thing as rounding, but wouldn't things be a lot easier if it were? Let's make it be that way.

To interpret a number today, you multiply each column by the size it represents and add them up:

number 100s 10s 1s sum
100 1 0 0 1*100 + 0*10 + 0*1
120 1 2 0 1*100 + 2*10 + 0*1
121 1 2 1 1*100 + 2*10 + 1*1
129 1 2 9 1*100 + 2*10 + 9*1
125 1 2 5 1*100 + 2*10 + 5*1

With this new system, we still do this, but in each column our available options range from -5 to 4 instead of 0 to 9.

number 100s 10s 1s sum
100 1 0 0 1*100 + 0*10 + 0*1
120 1 2 0 1*100 + 2*10 + 0*1
121 1 2 1 1*100 + 2*10 + 1*1
129 1 3 -1 1*100 + 3*10 + -1*1
125 1 3 -5 1*100 + 3*10 + -5*1

Here are a few more examples:

old notation new notation
0 0
4 4
7 1-3
579 1-4-2-1
432 432
1999 200-1

And here's a program to calculate these:

```def to_new_notation(x):
digits = []
carry = False
for digit in reversed([
int(x) for x in str(x)]):
if carry:
digit += 1
carry = False

if digit >= 5:
digit -= 10
carry = True

digits.append(digit)

if carry:
digits.append(1)

digits.reverse()
return digits
```

Update 2016-05-25: Truncation isn't actually rounding in this system unless you allow both 5 and -5 as digits. Thanks to Marius for pointing this out.

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