This is extremely sick. I'm going to cancel my Disney account.

Which language provides the most random alphabetically sorted sequence?

Data

|  N | Eng | Dut | Ger | Tur | Chi | Lex |
|----+-----+-----+-----+-----+-----+-----|
|  1 |   8 |   8 |   8 |   6 |   8 |   1 |
|  2 |  11 |   3 |   3 |   5 |   2 |  10 |
|  3 |   5 |   1 |   1 |   1 |   9 |  11 |
|  4 |   4 |  11 |  11 |   9 |   6 |  12 |
|  5 |   9 |   9 |   5 |   4 |   3 |   2 |
|  6 |   1 |  10 |   9 |   2 |   4 |   3 |
|  7 |   7 |  12 |   6 |  10 |   7 |   4 |
|  8 |   6 |   2 |   7 |  11 |  10 |   5 |
|  9 |  10 |   4 |   4 |  12 |  12 |   6 |
| 10 |   3 |   5 |  10 |   8 |  11 |   7 |
| 11 |  12 |   6 |   2 |   3 |   5 |   8 |
| 12 |   2 |   7 |  12 |   7 |   1 |   9 |

Sourced from comments in thread (English from image, Dutch from !Vinny_93@lemmy.world, German from !TJA@sh.itjust.works , Turkish from some rando, Chinese from !idealotus@lemmy.world, Lexicographical from !monogram@feddit.nl)

Plot with Correlation Scores

We will compute the pearson correlation (r-statistic) score by comparing the base number (column 1) with the corresponding language column. We will also compute the Serial correlation, by creating staggered columns that measure how close a number is in a sequence to the one before it.

cat alphabetic.tab \
    | awk '{print $0"\t"prE"\t"prD"\t"prG"\t"prT"\t"prC"\t"prL;prE=$2;prD=$3;prG=$4;prT=$5;prC=$6;prL=$7}' \
    | tee alphabetic.tab.stagger

gnuplot -p -e '
  set xlabel "Base Sequence";
  set ylabel "Alphabetic";
  set xtics 1,1,12;
  set ytics 1,1,12;
  set title "Alphabetic Number Plot with Correlation Score";
  set rmargin 25; set key at graph 1.5,0.9;
  set size ratio 0.45;

  stats "alphabetic.tab.stagger" using 1:2 name "E";
  stats "" using 1:3 name "D";
  stats "" using 1:4 name "G";
  stats "" using 1:5 name "T";
  stats "" using 1:6 name "C";
  stats "" using 1:7 name "L";
  
  stats "" using 2:8 name "ES";
  stats "" using 3:9 name "DS";
  stats "" using 4:10 name "GS";
  stats "" using 5:11 name "TS";
  stats "" using 6:12 name "CS";
  stats "" using 7:13 name "LS";

  set label 1 sprintf("%10s  %6s  %6s", "", "Base", "Stagger") at graph 1.07,0.95;

  plot "" using 1:2 with lines lw 3 title sprintf("%10s  %+.3f  %+.3f", "English", E_correlation, ES_correlation),
       "" using 1:3 with lines lw 3 title sprintf("%10s  %+.3f  %+.3f", "Dutch", D_correlation, DS_correlation),
       "" using 1:4 with lines lw 3 title sprintf("%10s  %+.3f  %+.3f", "German", G_correlation, GS_correlation),
       "" using 1:5 with lines lw 3 title sprintf("%10s  %+.3f  %+.3f", "Turkish", T_correlation, TS_correlation),
       "" using 1:6 with lines lw 3 title sprintf("%10s  %+.3f  %+.3f", "Chinese", C_correlation, CS_correlation),
       "" using 1:7 with lines lw 1 title sprintf("%10s  %+.3f  %+.3f", "Lexicon", L_correlation, LS_correlation)
'

It looks like Dutch has the lowest (near 0) correlation to both the base sequence and it's own staggered sequence, with Turkish mirroring it's staggered randomness somewhat.

The least random alphabetic sequences are English and German.

Updated: Added chinese and staggered analysis.

Acht, drie, een, elf, negen, tien, twaalf, twee, vier, vijf, zes, zeven.

8, 3, 1, 11, 9, 10, 12, 2, 4, 5, 6, 7

I recently found out that javascript's .sort() function, when called without arguments on an array of numbers, converts them all to strings and sorts them alphabetically 🤡

Lexicographical clock

1 10 11 12 3 4 5 6 7 8 9

Okay, here's the challenge: Make it always tell the correct time 8:30 should point to the 8 with the little hand and the 6 with the big hand. And 8:35 shoudl point to the 7 with the big hand.

Interestingly it would be right twice a day

Thanks, i hate it :)

Portuguese

cinco, dez, dois, doze, nove, oito, onze, quatro, seis, sete, três, um

5 10 2 12 9 8 11 4 6 7 3 1

cinco, dez, dois, doze, meia, nove, oito, onze, quatro, sete, três, um

5 10 2 12 6 9 8 11 4 7 3 1

(six can be "seis" or "meia")

It's 9 o'clock somewhere!

I don't get it

What time is it?
It's Beer O'clock!

I hate this so much