Not for me, tho
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You're missing the lack of logic, aka you're not missing shit, OP has some soul searching to do.
What lack of logic? The numbers on the clock are sorted based on the alphabetical order when they're spelled out in English. Just like with a real clock, the top number is the highest, not the lowest. That seems quite logical to me
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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 [email protected], German from [email protected] , Turkish from some rando, Chinese from [email protected], Lexicographical from [email protected])
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.
::: spoiler Staggered Table
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:::
::: spoiler Plot Code
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.
You put a lot of work into this.
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I was equally confused initially, but then I looked at the clock in my house and realized that the number up top is the highest number, 12, and not 0. So the first number in the ordering is at the position of the 1 of a normal clock.
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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 [email protected], German from [email protected] , Turkish from some rando, Chinese from [email protected], Lexicographical from [email protected])
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.
::: spoiler Staggered Table
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:::
::: spoiler Plot Code
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.
Thank you for doing and sharing this
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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 still don't understand how acht=12
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I still don't understand how acht=12
Ah no I started at one. You can transpose my list by one and set zeven as 12.
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altı beş bir dokuz dört iki on onbir oniki sekiz üç yedi
6 5 1 9 4 2 10 11 12 8 3 7
Transliterating from Mandarin Chinese and using English dictionary order
Ba Er Jiu Liu Qi San Si Shi ShiEr ShiYi Wu Yi
8 2 9 6 3 4 7 10 12 11 5 1
八 二 九 六 三 四 七 十 十二 十一 五 一 -
Actually, it's 5 4 10 12 2 9 8 11 6 7 3 1 for me, but too lazy to edit the image
Interestingly it would be right twice a day
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I still don't understand how acht=12
acht=12
Gesundheit.
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Actually, it's 5 4 10 12 2 9 8 11 6 7 3 1 for me, but too lazy to edit the image
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
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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
I'm a C programmer. My first time writing Javascript and ran into some sort of bug involving a === sign or something. Javascript is a silly language.
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Interestingly it would be right twice a day
I'd think four times:
4:20, 4:35, 7:20, 7:35 -
Is it a meme or a riddle?
Just a silly joke, I guess.
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I'd think four times:
4:20, 4:35, 7:20, 7:35I'm stupid and read the clock wrong and didn't check even a little.
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I'm a C programmer. My first time writing Javascript and ran into some sort of bug involving a === sign or something. Javascript is a silly language.
wrote on last edited by [email protected]Javascript lets you compare unlike types without extra steps using ==. If you want strict comparison where “2” isn’t 2, use === and !==. Personally, I find that easier than having to parseint or cast every damn thing or whatever c does (strtol?). That said, I have build tools set up to enforce strict comparison because I don’t trust myself or others.
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I'm a C programmer. My first time writing Javascript and ran into some sort of bug involving a === sign or something. Javascript is a silly language.
Truish and falsish and nullish are all concepts made up by madmen. JavaScript is the language of the damned.
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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 [email protected], German from [email protected] , Turkish from some rando, Chinese from [email protected], Lexicographical from [email protected])
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.
::: spoiler Staggered Table
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:::
::: spoiler Plot Code
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.
This is the second comment I've seen like this from you.
Please never stop.
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Actually, it's 5 4 10 12 2 9 8 11 6 7 3 1 for me, but too lazy to edit the image
wrote on last edited by [email protected]Cinq Deux Dix Douze Huit Neuf Onze Quatre Sept Six Trois Un
5 2 10 12 8 9 11 4 7 6 3 1
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Actually, it's 5 4 10 12 2 9 8 11 6 7 3 1 for me, but too lazy to edit the image
If a mechanical clock or watch was like that it would be one hell of a fascinating movement
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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 [email protected], German from [email protected] , Turkish from some rando, Chinese from [email protected], Lexicographical from [email protected])
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.
::: spoiler Staggered Table
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:::
::: spoiler Plot Code
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.
I didn't expect soneone to put that much effort into it.
Thanks! This is awesome!
