Click App


~datryn-ribdun 562018
~master-hacser-finmep-lanteb 172789
~lontus-racref 80047
~littel-bacwyl-samweg 58008
~baldyr-soldyr 12321
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~datryn-ribdun 562018
~master-hacser-finmep-lanteb 172789
~lontus-racref 80047
~littel-bacwyl-samweg 58008
~baldyr-soldyr 12321
~socrun-socdus 9000
~walter-hinted 6969
~ponput-marlug 3068
~tirlyn-todnex 2943
~wicdev-wisryt 2048
~palrym-tamfep-mirfet-hocbyt 1654
~datder-sonnet 1337
~linnyd-sapnyr 1103
~master-taster-minder-folden 833
~dolmut-digpun 669
~ranter-tapper 666
~ricpun-havdys 601
~malmur-halmex 556
~figtyd-podtyp 420
~rignyt-dirpem 320
~socryn-pinfeb 256
~pagbyn-sovseb 243
~dalweb-donfun 223
~risruc-habteb 208
~midsum-salrux 200
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~litneb-maltyp 178
~ticmug-nosrym 151
~lomder-librun 150
~tiller-tolbus 116
~nartes-fasrum-dozzod-sorwet 101
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~pathus-hiddyn 2
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~soprel-dislyr-bitful-pannul 1
~pinsyt-nossub 1
~midden-fabler 1
~habsul-rignyr 1

Click app by ~hanfel-dovned lets you "see who can get the most clicks". The program is an interpreter that dispatches rank based on discrete mouse events.

Ward's Click Balance computes a running sum that assigns a hash function to position in the ranking. The key concept is calculation in the form of a document. Notice how the least click in the ranking (< 1) is equivalent to the most clicks in the ranking (<562018), but not equivalent to 1 (if 1=1 is 0), and not to the next 1 after that (2.00 > 1).

We ask, how does the click data long tail compare to the fat front which is huge. github