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Wordle 1 092 3/6















This forum discussion centers around the daily Wordle game from the New York Times, specifically Wordle 393 and 395. Participants share their results and strategies, highlighting the importance of word selection and guessing techniques. Users mention starting words like 'EARLY', 'PIOUS', and 'ADIEU' as effective openers. Additionally, the conversation touches on the game's timing, noting that Wordle updates at midnight local time, which can vary based on users' time zones.
PREREQUISITESWord enthusiasts, casual gamers, and anyone looking to improve their Wordle performance or explore similar word-based games.
(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. :)