Wordle Lovers - Play the NYT Daily Game

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Discussion Overview

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.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification
  • Meta-discussion

Main Points Raised

  • Some participants share their Wordle results, indicating varying levels of success, with scores ranging from 1 to 6 attempts.
  • Several users discuss their strategies for choosing starting words, with mentions of specific words like 'EARLY', 'PIOUS', and 'ADIEU'.
  • One participant notes the surprising number of five-letter words in English and reflects on the difficulty of the game.
  • There are personal anecdotes about family members' engagement with word games, including Wordle, Sudoku, and crosswords.
  • Some participants express a competitive spirit in playing Wordle with partners or family members.
  • Discussion includes a comparison of Wordle to other games, such as Mastermind, highlighting differences in gameplay mechanics.
  • Participants speculate on the timing of Wordle updates and how it may vary based on local time zones and device settings.
  • One user shares their experience playing Wordle in both English and Spanish, noting differences in guessing success rates.
  • There are corrections and clarifications regarding the validity of certain word guesses, such as 'FHLMN'.

Areas of Agreement / Disagreement

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.

Contextual Notes

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.

Who May Find This Useful

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.

  • #901
Wordle 536 3/6

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  • #902
Wordle 537 3/6

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  • #903
collinsmark said:
...
\sigma = \sqrt{\frac{\sum \left( x_n - \mu \right)^2}{N-1}}
...
I went back and checked everyones maths and It appears that others are using a slightly different equation:

\sigma = \sqrt{\frac{\sum \left( x_n - \mu \right)^2}{N}}
 
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  • #904
OmCheeto said:
I went back and checked everyones maths and It appears that others are using a slightly different equation:

\sigma = \sqrt{\frac{\sum \left( x_n - \mu \right)^2}{N}}
Ah, yes. In this particular application, it might be that "N" in the denominator is the better formula, maybe. It's sort of a matter of opinion/interpretation though, sort of.

The formula with the "N - 1" in the denominator is the "sample" standard deviation, where N represents the number of points sampled, presumably from part of some larger population.

The formula with "N" in the denominator represents the "population" standard deviation, where N represents the entire population size, and it's presumed that each and every member of the population was included in the statistics.

So here, the one with "N" in the denominator might be better because you used all of the available data.

On the other hand, if you had only started gathering the statistics recently, or if you intend on continuing playing Wordle in the future, or maybe you've played Wordle a few times but neglected to record the results; and still wish to infer statistics from a comparatively smaller sample set (i.e., the data you've gathered already), the the formula with N - 1 in the denominator would be the better one.

The idea behind reducing N to N - 1 is to make a larger, more conservative estimate of standard deviation: it's better to overestimate standard deviation than underestimate it, when there's a limited sample size.

So it kind of depends on your point of view. Both are valid definitions of standard deviation, albeit slightly different.
 
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  • #905
Wordle 537 3/6

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🟩🟩⬜🟩🟩 < lucky 2nd guess for two consecutive days!
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  • #906
collinsmark said:
The idea behind reducing N to N−1 is to make a larger, more conservative estimate of standard deviation: it's better to overestimate standard deviation than underestimate it, when there's a limited sample size.
It is about making an unbiased estimate of the variance. It should be noted that the unbiased sample variance (with N-1) is only unbiased if samples are drawn with replacement, which I believe is not the case with Wordle solutions.

It should also be noted that an estimate of the variance being unbiased does not imply that taking its square root results in an unbiased estimate of the standard deviation.
 
  • #907
Wordle 537 3/6

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This matches the bot's solution ##\dots~## again.
 
  • #908
OmCheeto said:
So I checked and discovered that I had also played identically. I thought that would be very boring if everyone eventually ended up with the same algorithm, ##~\dots##
I have been able to match the bot 3-4 times and able to beat it a couple of times. I would agree with you that playing identically with it would be boring, however my goal is to beat it at its own game and do consistently (or at least statistically) better than it. So in order to avoid comparison of apples with oranges, I have to start with the same word as the bot every time.

Actually, now that I think about it, it seems to me that I should embark on a project to find a better variety of apple than the bot and change my seed word to something that works better than SLATE. It's all in the criteria and the final judge is the outcomes. However, I do believe that starting with the same seed every time is a good idea. Then I can construct a new bunch of IF statements for the possible outcomes upon evaluation of the new seed. Thank you for helping me sort this out.
 
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  • #909
Wordle 538 3/6

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  • #910
Wordle 538 4/6

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  • #911
Wordle 538 3/6

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  • #912
Wordle 539 X/6

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  • #913
Wordle 539 4/6

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  • #914
Wordle 539 4/6

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  • #915
Wordle 539 3/6

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  • #916
Wordle 540 5/6

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  • #917
Wordle 540 4/6

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  • #918
Wordle 540 4/6

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  • #919
Wordle 540 4/6

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  • #920
Wordle 541 4/6

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  • #921
Wordle 541 5/6

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  • #922
Wordle 541 4/6

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  • #923
Wordle 541 4/6

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  • #924
Wordle 542 3/6

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After a couple of days of disappointing 5/6, getting a 3/6 felt really nice.
 
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  • #925
Wordle 542 4/6

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  • #926
Wordle 542 4/6

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  • #927
Wordle 542 4/6

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  • #928
Wordle 543 3/6

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  • #929
Wordle 543 3/6

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I think I managed to get under the bot's skin and irritate it. Take a look at its response to the second guess of my solution today. As far as I can tell, it's the first time it has petulantly refused to acknowledge human greatness.

WORDLE.png
 
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  • #930
Wordle 544 3/6

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