2151: A/B - Revision history

Jacky720: rv

2022-05-04T21:03:34Z

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Ex Kay Cee Dee at 21:03, 4 May 2022

2022-05-04T21:03:17Z

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Jacky720: rv

2022-05-04T20:55:27Z

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Ex Kay Cee Dee at 20:51, 4 May 2022

2022-05-04T20:51:31Z

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Davidy22: Reverted edits by X. K. C. D. (talk) to last revision by 172.69.34.236

2022-05-04T01:58:47Z

Reverted edits by X. K. C. D. (talk) to last revision by 172.69.34.236

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X. K. C. D. at 00:59, 4 May 2022

2022-05-04T00:59:09Z

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172.69.34.236: /* Transcript */ complete

2019-11-27T23:04:52Z

‎Transcript: complete

Herobrine: Voynich solved reference not relevant and may be untrue, no longer incomplete

2019-06-20T12:42:57Z

Voynich solved reference not relevant and may be untrue, no longer incomplete

Comet at 20:11, 23 May 2019

2019-05-23T20:11:40Z

Comet at 20:11, 23 May 2019

2019-05-23T20:11:00Z

@@ Line 19: / Line 19: @@
 ==Transcript==
 :[Cueball is sitting behind a computer desk, facing to the right, gesturing at the screen. Ponytail stands behind him and Hairy stands in front of him, both taking notes in a pad.]
 :Cueball: I like this one more because it encodes Mycenaean Greek. The other one just looks like gibberish.

← Older revision		Revision as of 12:42, 20 June 2019
Line 8:		Line 8:

	==Explanation==		==Explanation==
−	{{incomplete\|Please mention here why this explanation isn't complete. On 15 May 2019, the Voynich manuscript was publicized as having been decoded by a stochastic technique ("looks good to me!") analogous to how this comic decides which ancient language is right for their document [[http://www.linkedin.com/in/Comet Comet]] 20:11, 23 May 2019 (UTC). Do NOT delete this tag too soon.}}
	{{w\|A/B testing}} is a form of {{w\|Scientific control\|controlled experiment}} in which test subjects are randomly split into two groups, A and B, and each group is shown a slightly different version of the same thing. This is most often used for market research, as it allows researchers to discover which of two options are received more favorably by consumers. For example, a website might employ A/B testing by randomly showing 50% of visitors a version with a different font. By checking their site traffic analytics afterward, the site operators can see which version of the site received the most user engagement, which might tell them that the alternate font is a better choice.		{{w\|A/B testing}} is a form of {{w\|Scientific control\|controlled experiment}} in which test subjects are randomly split into two groups, A and B, and each group is shown a slightly different version of the same thing. This is most often used for market research, as it allows researchers to discover which of two options are received more favorably by consumers. For example, a website might employ A/B testing by randomly showing 50% of visitors a version with a different font. By checking their site traffic analytics afterward, the site operators can see which version of the site received the most user engagement, which might tell them that the alternate font is a better choice.

@@ Line 8: / Line 8: @@
 ==Explanation==
-{{incomplete|Please mention here why this explanation isn't complete. On 15 May 2019, the Voynich manuscript was publicized as having been decoded by a stochastic technique ("looks good to me!" analogous to how this comic decides which ancient language is right for their document [[http://www.linkedin.com/in/Comet Comet]] 20:11, 23 May 2019 (UTC). Do NOT delete this tag too soon.}}
+{{incomplete|Please mention here why this explanation isn't complete. On 15 May 2019, the Voynich manuscript was publicized as having been decoded by a stochastic technique ("looks good to me!") analogous to how this comic decides which ancient language is right for their document [[http://www.linkedin.com/in/Comet Comet]] 20:11, 23 May 2019 (UTC). Do NOT delete this tag too soon.}}
 {{w|A/B testing}} is a form of {{w|Scientific control|controlled experiment}} in which test subjects are randomly split into two groups, A and B, and each group is shown a slightly different version of the same thing. This is most often used for market research, as it allows researchers to discover which of two options are received more favorably by consumers. For example, a website might employ A/B testing by randomly showing 50% of visitors a version with a different font. By checking their site traffic analytics afterward, the site operators can see which version of the site received the most user engagement, which might tell them that the alternate font is a better choice.

@@ Line 8: / Line 8: @@
 ==Explanation==
-{{incomplete|Written in MYCENEAN GREEK. Please mention here why this explanation isn't complete. Do NOT delete this tag too soon.}}
+{{incomplete|Please mention here why this explanation isn't complete. On 15 May 2019, the Voynich manuscript was publicized as having been decoded by a stochastic technique ("looks good to me!" analogous to how this comic decides which ancient language is right for their document [[http://www.linkedin.com/in/Comet Comet]] 20:11, 23 May 2019 (UTC). Do NOT delete this tag too soon.}}
 {{w|A/B testing}} is a form of {{w|Scientific control|controlled experiment}} in which test subjects are randomly split into two groups, A and B, and each group is shown a slightly different version of the same thing. This is most often used for market research, as it allows researchers to discover which of two options are received more favorably by consumers. For example, a website might employ A/B testing by randomly showing 50% of visitors a version with a different font. By checking their site traffic analytics afterward, the site operators can see which version of the site received the most user engagement, which might tell them that the alternate font is a better choice.