We Analyzed 1,000 Top AskReddit Posts. Here's How Questions Differ.

Table of Contents▼
AskReddit question patterns are useful as writing hypotheses, not guaranteed formulas.
In the source's selected top-1,000 set, How starters had the highest reported average at 112,886 upvotes across 22 posts.
What starters were most common at 142 posts, but their reported average was lower at 78,711.
The raw post export and classification output are not available in this checkout. The numbers below are therefore source-reported or taken from the existing derived charts, with each subset kept separate.
A selected top-post sample is a set chosen because the posts already scored highly. It is not a random sample of every AskReddit submission, so it cannot tell you what score a new question will receive.
Key takeaways
- How starters led the source's question-starter averages, but the category contains only 22 posts.
- What starters appeared most often in the 1,000-post table, with 142 posts.
- The five named question patterns came from a separate top-200 subset.
- The title-length chart uses 499 posts, not the full 1,000-post table.
- Posting time and word counts describe the selected historical set; they do not guarantee reach.
Which question starters appeared most often?
In the source-reported starter table, How starters had the highest average, while What starters had the largest count. That is a frequency-versus-average comparison, not a controlled test of opening words.
Question starter | Reported average | Posts in top 1,000 |
|---|---|---|
How... | 112,886 | 22 |
Would... | 104,599 | 6 |
Why... | 96,392 | 2 |
People... | 87,838 | 25 |
Do/Does... | 86,260 | 2 |
Which... | 86,026 | 8 |
Have... | 81,705 | 6 |
If... | 81,252 | 32 |
What... | 78,711 | 142 |

The small counts matter.
Averages for Why, Would, and How are sensitive to individual posts.
The source does not provide the raw rows needed to check outliers or uncertainty.
What five question patterns did the source report?
The source grouped the 200 highest-scoring posts into five descriptive patterns. Its labels and approximate averages are useful for organizing examples, but the grouping does not prove that a psychological trigger caused a score.
Source pattern | Reported average | What the titles ask for |
|---|---|---|
Opinion poll | 140,000+ | A view on a hypothetical change or policy |
Absurd hypothetical | 120,000+ | A response to an unusual imagined scenario |
Timely joke | 150,000+ | A reaction to a current moment or event |
Crowdsourced resource | 100,000+ | Useful answers the community can collect |
Deep personal question | 85,000+ | Experiences, advice, or meaningful stories |

The existing chart displays 11% Opinion Poll, 8% Absurd Hypothetical, 6% Timely Joke, 5% Crowdsourced Resource, and 4% Deep Personal. Those are displayed shares for the named groups, not a complete classification of every post in the 200-post subset.
Examples in the source include opinion polls, absurd hypotheticals, timely jokes, resource requests, and personal questions. The examples show the range of formats in that subset; they are not copy-paste templates or evidence that the same framing will perform again.
The pattern averages also should not be compared as if they came from equal groups. The source does not provide the full class counts or raw post-level data in this checkout.
Does title length correlate with score?
The source's title-length analysis covers 499 top posts, a separate denominator from the 1,000-post overview. Its reported averages rise across the displayed buckets, from 78,398 for titles under 50 characters to 100,114 for titles over 200 characters.
Title length | Reported average | Posts |
|---|---|---|
Under 50 characters | 78,398 | 54 |
50–100 characters | 80,815 | 226 |
100–200 characters | 84,549 | 189 |
200+ characters | 100,114 | 30 |

That pattern is an association among selected high-scoring posts. It does not establish that adding words causes more upvotes, especially because the 200+ bucket contains only 30 posts and the raw rows are unavailable.
Use enough title space to make the question specific and easy to understand. Treat 50–200 characters as a source-reported range to test, not a required target or a promise of performance.
What posting times appeared in the source?
The time table reports the highest average at 18:00 UTC, equivalent to 1 PM Eastern in the source's conversion. That result describes the timestamps of selected historical posts; it is not a universal best-time rule.
Time (UTC) | Reported average | Top posts |
|---|---|---|
18:00 (1 PM ET) | 97,336 | 19 |
21:00 (4 PM ET) | 92,256 | 24 |
01:00 (8 PM ET) | 91,175 | 21 |
12:00 (7 AM ET) | 87,570 | 32 |
19:00 (2 PM ET) | 86,508 | 24 |

Posting at a listed hour may coincide with audience availability, topic, author, season, or the age of a post. The source does not isolate those variables, so use the table to choose a measured test window rather than to promise reach.
Which words recur in top AskReddit titles?
The source counted words across the 1,000 titles after removing common stop words. It reports why in 63 titles, feel in 36, and life in 35.

Those words fit the community's question-and-experience format. A frequency count does not show that inserting why, feel, or life will improve a new title.
The practical test is to use a word only when it accurately describes the question. Compare real titles with similar topics and record topic, timing, account context, and post age before drawing a conclusion.
How can you use these patterns responsibly?
Start with a genuine question, then make the context clear enough that a reader can answer without guessing what you mean.
- Choose the question's job. Decide whether you want opinions, stories, useful recommendations, a hypothetical response, or a reaction to a timely event.
- Front-load the actual subject. Put the person, situation, or decision in the title instead of relying on a vague hook.
- Keep the framing honest. First-person language, numbers, and humor should describe the post rather than manufacture a claim.
- Make the question answerable. Avoid requiring specialist research when the goal is broad community participation.
- Test one change at a time. Compare title framing while holding topic, timing, account context, and post age as constant as possible.
Before posting, review Reddit's User Agreement, Content Policy, subreddit rules, and upvote and downvote guidance. For broader timing context, see the best time to post on Reddit guide, but keep this article's AskReddit findings separate from general Reddit advice.
What are the methodology and limits?
The source says it fetched the top 1,000 highest-scoring r/AskReddit posts and collected the data in March 2026. The five-pattern section uses the top 200 posts, while the title-length table uses 499 posts.
The source also describes question-starter grouping, title-length comparison, word-frequency counting, posting-time averages, and thematic formula labels. The raw post export, class labels, group sizes for every pattern, and statistical tests are not present in this checkout, so the results cannot be independently recomputed here.
Selection is the central limitation. A top-post query includes posts that already accumulated attention and excludes the ordinary, low-scoring, removed, or unseen submissions needed to estimate a typical outcome.
The useful conclusion is modest: the source's selected posts contain recurring question formats, opening words, title lengths, and posting times worth testing. None of those observations is a guaranteed formula for upvotes, virality, or future AskReddit performance.

Hey, I'm Sam. I've spent the last 8 years figuring out what actually works on Reddit (and what gets you instantly banned). After growing several brands through organic Reddit presence, I started Upvote to help others do the same - without the trial and error. When I'm not diving into subreddit analytics, you'll find me reading about consumer psychology or debating the best coffee brewing methods.
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