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Wordle 1 092 3/6















This thread centers around the daily Wordle game from the New York Times, where participants share their results, strategies, and experiences. The discussion includes personal anecdotes, strategies for guessing words, and reflections on the game's impact on cognitive skills.
Participants express a variety of opinions and experiences regarding strategies and the nature of the game, with no clear consensus on the best approaches or the implications of playing Wordle on cognitive skills.
Some discussions involve assumptions about the game's rules and the validity of word guesses, which may not be universally agreed upon. There are also references to personal experiences that may not apply to all players.
This thread may be of interest to fans of word games, particularly those who enjoy sharing strategies and results, as well as those curious about the social dynamics of competitive gameplay.
(0, 6, 231, 338, 168, 41, 5, 789)fresh_42 said:All these results look rather compatible. I think we should make another test on our overall results. Please report the vector ##(v_1,\ldots,v_7,v_8) = (\ldots)## where ##v_j## represents the number of "solved in ##j## guesses" for ##j<7\, , \,v_7=## "number of failed attempts" and the check sum ##v_8=## "number of total rounds".
Mine is: ##(0,37,181,278,165,48,20,729).##
1, 39, 348, 244, 32, 8, 0, 672.fresh_42 said:All these results look rather compatible. I think we should make another test on our overall results. Please report the vector ##(v_1,\ldots,v_7,v_8) = (\ldots)## where ##v_j## represents the number of "solved in ##j## guesses" for ##j<7\, , \,v_7=## "number of failed attempts" and the check sum ##v_8=## "number of total rounds".
Mine is: ##(0,37,181,278,165,48,20,729).##
I always disliked plots of normal distributions together with data that is quite evidently very very discrete ….kuruman said:I have also attached a plot (at no extra cost) showing a calculated normal distribution based on μ and σ obtained from the data
It's only my curiosity to see how close the continuous distribution comes to the discrete. I have removed the offending plot. Do I get a smiley face now?Orodruin said:I always disliked plots of normal distributions together with data that is quite evidently very very discrete ….![]()
Better! You get akuruman said:It's only my curiosity to see how close the continuous distribution comes to the discrete. I have removed the offending plot. Do I get a smiley face now?
Orodruin said:Better! You get a![]()

Even if I understood what you want from me I'm afraid that all the ones I skipped would eff it up. :)fresh_42 said:All these results look rather compatible. I think we should make another test on our overall results. Please report the vector ##(v_1,\ldots,v_7,v_8) = (\ldots)## where ##v_j## represents the number of "solved in ##j## guesses" for ##j<7\, , \,v_7=## "number of failed attempts" and the check sum ##v_8=## "number of total rounds".
Mine is: ##(0,37,181,278,165,48,20,729).##
Not really, since I add all vectors. And the more I get at the upper end, the more I need the other ones to get a meaningful average.sbrothy said:Even if I understood what you want from me I'm afraid that all the ones I skipped would eff it up. :)