# ManYue: Separate selected people, respondents and generalizations in survey scenes

Language: en
Canonical: [ManYue: Separate selected people, respondents and generalizations in survey scenes](<https://allluckly.cn/en/guides/manyue-comic-survey-respondent-scope/>)
中文：[中文 HTML](<https://allluckly.cn/guides/manyue-comic-survey-respondent-scope/>)
English: [English HTML](<https://allluckly.cn/en/guides/manyue-comic-survey-respondent-scope/>)
Published: 2026-11-08T00:00:00+08:00
Modified: 2026-11-08T09:34:15+08:00
Author: Bison

Check counts and denominators in an invented paper-hat survey without treating selected panels or unanimous respondents as everyone.

English translation of the [Chinese original](<https://allluckly.cn/guides/manyue-comic-survey-respondent-scope/>), translated on 2026-11-08. Original publication dates, attribution, code and version notes are retained.

A comic character may ask a few people and then say everyone likes it. Establish whom everyone means: people drawn, selected people and actual respondents can differ. Use a fictional paper-hat survey to record selection, answers and nonresponses. This infers no real population preference and assumes no automatic crowd counting, questionnaire recognition or representativeness calculation in ManYue.

## Define the question and intended population

Choose a short comic showing a question, some answers and a summary, recording work, edition, chapter, position and panels. Copy whether you like this paper hat, then establish whether the intended population is those asked, a class or a whole town. Everyone does not supply the broadest scope automatically. The basic invented example explicitly asks ten people, six liking and four disliking, each answering once. Preserve wording, selection and time. If three faces are drawn but narration says ten were asked, record visible and narrated counts separately instead of discarding either evidence type.

## Distinguish selection, contact and response counts

Create five fields: target scope, selected count, actually contacted count, valid response count and response content. Define these population quantities in the basic example instead of equating ten respondents with a town. In real scenes, distinguish departures, refusals and repeat answers; a person without a speech bubble is not automatically a dislike. A recurring person is not counted again, and uncertain identity remains uncertain. Images locate participants without establishing counting rules. Keep explicitly narrated totals as narrated evidence rather than replacing them with your face count.

## Calculate only with an established denominator

In the basic example all ten answer, so six divided by ten is sixty percent liking and four divided by ten forty percent disliking, totaling one hundred. Limit that finding to these ten respondents, not sixty percent of the town. Multiple choices, unsure answers or nonresponses may prevent two categories covering the whole; consult question rules. Preserve sources for numerator six and denominator ten, not only sixty. These are supplied counts, not app-counted people. Without exact numbers, record answer types without inventing percentages for the summary.

## Use nonresponse to check an apparent unanimous result

In a separate example, select five people but receive only three answers, all likes, with two nonresponses. Likes among respondents are one hundred percent; response rate is three divided by five, sixty percent. That does not make all five selected people likes. At least three are known to like it, while two remain unknown, neither dislikes nor likes. The percentages answer different questions and need distinct denominators. Name this example separately from the ten-person complete-response case; do not mix three and six into a source-free combined percentage.

## Inspect selection before extending interpretation

Check whether only friends, current hat wearers or convenient passers-by are asked, recording known selection. That scope may differ from the intended population, without proving deception or permitting an invented random sample in defence. Complete response from ten people alone does not establish class or town representativeness. A comic may draw representative panels while narration states a larger survey; record that account separately without supplying unshown sampling details. Separate visible selection, narrated explanation and unknown procedure to preserve the conclusion’s bounds.

## Check the scope words in a character’s summary

Return to everyone likes it and identify dialogue, narration, advertising or your own paraphrase. If everyone explicitly means three respondents, that differs from all five selected people. If it explicitly means the town, identify the unsupported extension beyond observed evidence. Preserve seems or may instead of turning a tentative summary into a certain statistic. A happy expression supplies neither counts nor knowledge of nonrespondents’ views. This checks wording against evidence, not the truth of every claim in the work or a character’s psychology.

## Check repetition and omissions when counts disagree

If drawn counts exceed a label, check repeated people, inclusion of the interviewer and whether background figures were asked. Six in a label with only three spoken responses may reflect narrative omission or insufficient information. Inspect narration and neighbours without assigning opinions to silent people. If identity remains unclear after zoom, retain uncertainty instead of forcing distinctions by avatar colour. Restore a cropped page if possible and limit observations if not. Preserve your counting method alongside textual counts rather than deleting inconvenient participants to make them agree.

## Recheck both denominators after returning

Leave the reader and return to question, responses and summary. Recompute six of ten as sixty percent in the basic case, and separately three of three as one hundred percent and three of five as sixty percent in the nonresponse case. Name the population before every number so equal sixties do not confuse meanings. Preserve five fields, selection, nonresponse states, voice provenance and unknown conditions separately from the comic. Completion identifies observed opinions, unknown people and scope expansion, not a judgement about real populations or an automatically generated survey report.

## Related guides and sources

[ManYue: Establish the whole before reading a pie chart](<https://allluckly.cn/en/guides/manyue-in-story-pie-chart-whole/>); [ManYue testimony versus pictures: preserve contradictions before judging truth](<https://allluckly.cn/en/guides/manyue-testimony-picture-conflict/>).

Checked on November 8, 2026: [Apple public version information](<https://itunes.apple.com/lookup?id=6753895889&country=cn>) lists ManYue 2.0.4, requiring iOS / iPadOS 15.0 or later. Feature scope follows the [official App Store description](<https://apps.apple.com/cn/app/id6753895889>) and the installed version. This article provides reading and checking methods you can perform; it does not claim step-by-step physical-device or private-server testing. Manual records, external tools and actually visible controls are identified separately, and personal analysis or code observations are not presented as verified automatic capabilities.

For populations, samples and selection scope, see [OpenStax: Data, Sampling, and Variation](<https://openstax.org/books/introductory-statistics-2e/pages/1-2-data-sampling-and-variation-in-data-and-sampling>). The paper-hat survey values are invented and represent no real population preference.