Aaron Toponce atoponce

## gist:983b287af496338954942da5d612176d
Show the differences betwen various base-32 encoding schemes. Alphanumeric order used to show what's missing in each.

 RFC 2938: 0123456789ABCDEFGHIJKLMNOPQRSTUV    :  Preserves hex bitwise sort order
 RFC 4648:   234567  ABCDEFGHIJKLMNOPQRSTUVWXYZ:  8/B, 9/g, 0/O, and 1/I ambiguity
Crockford: 0123456789ABCDEFGH JK MN PQRST VWXYZ:  0/O and 1/I/L ambiguity
  Geohash: 0123456789 BCDEFGH JK MN PQRSTUVWYYZ:  0/O and 1/I/L ambiguity. No "A"
z-base-32:  1 3456789ABCDEFGHIJK MNOPQRSTU WXYZ:  human ease-of-use

## index.html
<html>
    <head>
        <meta http-equiv='Content-Type' content='text/html; charset=utf-8' />
        <title>JavaScript Entropy Proof-of-Concept</title>
        <script language='javascript'>
            niceware=['a','aah','aardvark','aardwolf','academia','academic','academical','academician','academicianship','academicism','academy','acadia','acapulco','ace','aced','acerb','acerbate','acerber','acerbest','acerbic','acerbity','acerola','acerose','acetate','acetic','acetified','acetify','acetifying','acetone','acetonic','ache','ached','achene','achenial','achier','achiest','achievable','achieve','achieved','achievement','achiever','achieving','aching','achoo','achordate','achromat','achromatic','achromatism','achy','acid','acidhead','acidic','acidifiable','acidification','acidified','acidifier','acidify','acidifying','acidity','acidly','acidotic','acidulate','acidulation','acidulously','acidy','acing','acknowledge','acknowledgeable','acknowledgement','acknowledger','acknowledging','acknowledgment','aclu','a

## examples.md

      
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                Best practices for examples in documentation
              
          
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    Reserved Examples
Below are examples for best practices that have been set aside specifically for writing documentation, fictional stories, source code, or anything else where an example needs to be given without the fear of resolving to an actual phone number, domain, website, etc.
Domain Names
In 1999, the "example.com" domains have been set aside by the IETF in RFC 2606 specifically for documentation and source code. They include example.com, example.net, and example.org. The example.edu domain was added by ICANN in 2000. Later, the ".example" top-level domain name has since been added explicitly for documentation purposes.
While the pseudo-top-level domain ".local" carries no meaning, it is commonly deployed in multicast DNS, local DNS, and private networks. While it too could be used for documentation, it's better left alone, and to use the "example.com" and ".example" domains.
Example
If you wanted to document getting a specific resource via a REST API

  
## README.md

      
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                Proposed improvements to EFF's FANDOM wordlists
              
          
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    Proposed EFF Fandom Improvements
Contact
If there are any problems with the word lists, please reach out to me on
Twitter [@AaronToponce][0].
Original Word List Problems
The [initial EFF word lists][1] have several problems:

The word lists are not alphabetical for visual inspection.


## readme.md

      
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              Last active Dec 5, 2018
            
              
                Password generation in the shell
              
          
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    Simple Shell Password Generation
Just using the shell, either with built-in tools, or 3rd party generators, for
building passwords with at least 70-bits of entropy (1 in at least
1,180,591,620,717,411,303,424 possibilities).
Each provide their own advantages and disadvantages.
Built-in Tools
All graphical keyboard characters
All possible 94 graphical characters (not the <Space> or <Tab>) are

  
## README.md

      
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              Created Jul 30, 2018
            
              
                Extracting entropy from mouse movement events
              
          
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    Extracing Entropy From Mouse Movement Events
Here are my findings of entropy extraction estimates from mouse movement events
in the browser. Tables below show the results sorted by the minimum entropy
extraction. Timing events, keyboard events, and other potential sources of
entropy that can be collected from the user are not considered here.
A [visual representation][1] of slow, medium, and fast mouse movements can help
visualize why the entropy estimation increases as the mouse velocity increases.
The recorded data was plotted with Gnuplot as follows:

  
## bias.py
#!/usr/bin/python

import random

# Simple script to simulate biased throws of a single d6 die.

# bias should sum to 1
# pips (  1,     2,     3,    4,    5,     6  )
BIAS = (0.125, 0.125, 0.25, 0.25, 0.125, 0.125)

## trump.js
"#",
"$",
"0",
"1",
"2",
"3",
"4",
"5",
"6",
"7",

## index.html
<!doctype html>
<html>
    <head>
        <meta charset="utf-8">
        <title>Emoji Font Test</title>
        <style>
            @font-face {
                font-family: "emoji";
                src: url("./fonts/TwitterColorEmoji-SVGinOT.ttf") format("truetype");
            }

## random.js
// Citation: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math/random

/*
 * Getting a random number from [0, max)
 */

// DO THIS (unbiased)
function getRandomInt(max) {
    var low = (-max >>> 0) % max;
    do { var n = Math.random() * 0x100000000 >>> 0; } while(n < low);