Ever tried adding a fresh scientific breakthrough to a Wikipedia page only to have it deleted within hours? If so, you’ve likely hit the wall of the No Original Research (NOR) policy. It’s one of the most misunderstood rules on the platform, often confusing new editors who think they’re helping by sharing news. But here’s the catch: Wikipedia isn’t a place for publishing discoveries. It’s a place for summarizing what experts have already published and agreed upon.
The core issue is simple. When you read a news article about a new drug trial or a historical discovery, that report is a secondary source. It interprets primary data. Wikipedia wants to go one step further back to reliable tertiary sources-books, encyclopedias, and comprehensive reviews-that synthesize this information over time. This ensures stability. If every editor could add their own interpretation of raw data, articles would become battlegrounds of opinion rather than neutral summaries.
What Exactly Is "Original Research"?
To understand why the policy exists, we need to define what counts as original research in the context of Wikipedia is a free online encyclopedia that relies on verifiable, neutral sources to maintain accuracy and consensus among its global community of editors. The term can be misleading because it doesn't always mean creating new science from scratch. In editorial terms, original research includes any synthesis of information that hasn't been published in a reliable source yet.
Consider these common scenarios where editors get flagged for NOR violations:
- Interpreting Data: Taking a table of election results and concluding that Candidate A is "likely to win" based on your own calculation, without a reputable newspaper making that specific prediction.
- Connecting Dots: Linking two separate events in an article to suggest a causal relationship that no historian has formally argued in a book or journal.
- Personal Analysis: Writing that a movie's plot is "allegorical" when critics haven't widely agreed on that interpretation.
The key distinction is between synthesis and original analysis. Summarizing three different news reports into a coherent paragraph is fine. But drawing a new conclusion from those reports that isn't explicitly stated in them is original research. This rule protects the encyclopedia from becoming a collection of personal essays disguised as facts.
The Hierarchy of Sources: Primary, Secondary, Tertiary
Understanding the source hierarchy is crucial for navigating Wikipedia's editorial landscape. Each level serves a different purpose in the chain of knowledge verification.
| Source Type | Definition | Examples | Wikipedia Acceptance |
|---|---|---|---|
| Primary | Direct evidence or first-hand account | Interviews, raw survey data, court transcripts | Use sparingly; usually requires secondary coverage |
| Secondary | Analysis or reporting on primary sources | Newspaper articles, academic journals, biographies | Standard for current events and general topics |
| Tertiary | Synthesis of secondary sources | Encyclopedias, textbooks, review articles | Preferred for established topics and broad overviews |
For well-established topics like "Gravity" or "World War II," tertiary sources are ideal because they represent the settled consensus of the field. For breaking news, however, you might rely on high-quality secondary sources from major outlets like The New York Times is a daily newspaper with a long history of investigative journalism and global reach, serving as a standard reference for verifiable news in many English-language encyclopedias. The challenge arises when a topic is too new for tertiary sources to exist. In these cases, editors must be extremely careful not to inject their own interpretations while waiting for the academic community to catch up.
Why the Policy Exists: Stability vs. Currency
You might wonder why Wikipedia doesn't just let people post the latest findings immediately. The answer lies in the tension between currency and stability. Science and history are iterative. What looks like a groundbreaking finding today might be debunked or refined next month. By requiring reliance on established sources, Wikipedia acts as a buffer against premature conclusions.
This approach mirrors how academic institutions operate. Peer-reviewed journals don't publish a single lab's result as definitive truth; they wait for replication and broader acceptance. Wikipedia adopts a similar philosophy but applies it to all topics, from biology to pop culture. This means that if a celebrity scandal breaks, Wikipedia won't jump to label them a criminal until legal verdicts or widespread credible reporting solidify the narrative. This delay frustrates some users who want real-time updates, but it prevents the encyclopedia from being filled with retractions and corrections later.
Furthermore, the policy reduces edit wars. If every editor could interpret raw data differently, pages would constantly fluctuate based on individual biases. By anchoring content to published sources, the community creates a shared baseline. Disagreements then shift from "who is right?" to "what does the reliable source say?", which is much easier to resolve through discussion.
Navigating the Grey Areas: When News Becomes Fact
Not everything is black and white. There are grey areas where the line between reporting and original research blurs. One common trap is using multiple independent secondary sources to imply a consensus that doesn't officially exist. For example, if five blogs claim a politician is resigning, but no official statement has been made, citing all five blogs doesn't create a fact-it creates a rumor. Wikipedia requires that the *conclusion* itself be sourced, not just the underlying events.
Another tricky area involves infoboxes and summary sections. Editors sometimes fill these fields with calculated statistics or derived rankings that aren't present in the cited source. For instance, calculating a team's winning percentage from game logs is acceptable if the math is basic and universally understood. However, ranking players based on a complex, self-created metric is original research unless a recognized authority has published that exact ranking.
Here are some practical tips to avoid NOR violations:
- Cite the Conclusion: Ensure the specific claim you are making is explicitly stated in the source, not just implied by the data.
- Check for Consensus: Look for at least two independent, reliable sources that agree on the interpretation before adding it.
- Use Neutral Language: Avoid adjectives or evaluative terms unless the source uses them. Stick to what is observable and reported.
- Wait for Tertiary Coverage: For major scientific or historical developments, consider waiting a few weeks or months for textbook or encyclopedia updates before expanding the article significantly.
The Role of Community Consensus
Wikipedia operates on a model of consensus, not majority vote. This means that policies like NOR are enforced through social norms and peer review rather than rigid algorithmic checks. When an editor adds original research, another editor will likely flag it with a template or leave a comment on the talk page explaining why it needs a better source. This collaborative filtering process is the engine that keeps the encyclopedia accurate.
However, this system relies on active participation. In niche topics with fewer editors, original research might slip through for longer periods. This is why maintaining a healthy balance of experienced editors and newcomers is vital. Experienced editors act as gatekeepers, ensuring that new contributions align with established guidelines. Newcomers bring fresh perspectives and energy, driving the expansion of coverage. Both groups benefit from understanding the NOR policy, as it provides a clear framework for constructive feedback.
It’s also worth noting that the policy isn't static. As digital media evolves, the definition of "reliable source" continues to be debated. Podcasts, YouTube channels, and specialized databases are increasingly used as sources, provided they meet criteria for independence and editorial oversight. The NOR policy adapts to these changes by focusing on the *nature* of the source's reliability rather than its format.
Common Misconceptions About Sourcing
Many editors believe that having more sources automatically makes a claim safer. While citations are essential, quantity doesn't replace quality. Citing ten low-quality blogs is worse than citing one authoritative textbook. The NOR policy emphasizes that the *source* must carry the weight of the claim. If the source is weak, the claim is vulnerable, regardless of how many times it's repeated.
Another misconception is that Wikipedia should reflect "all viewpoints." While neutrality is a core value, it doesn't mean giving equal weight to fringe theories. If 95% of reliable sources support one view and 5% support another, the article should reflect that distribution. Presenting both views as equally valid without context is a form of original research because it synthesizes a false equivalence that doesn't exist in the literature.
Finally, some think that using their own expertise exempts them from sourcing. Whether you're a doctor editing a medical article or a historian writing about ancient Rome, your personal knowledge must still be backed by published, reliable sources. Your expertise helps you find the right sources and understand the nuances, but it doesn't replace the need for external verification.
How to Contribute Effectively Within the Rules
Working within the NOR policy doesn't mean being passive. It means being strategic. Start by identifying gaps in existing articles where reliable sources exist but haven't been integrated yet. Use search tools to find recent academic papers or major news features that cover the topic. Then, carefully extract only the information that is directly supported by those texts.
If you have a unique insight or connection, share it on the talk page first. Discuss it with other editors and see if anyone else can find a source that supports your idea. Often, what seems like an original thought has actually been published somewhere obscure. With a bit of digging, you can turn your insight into a citable fact.
Remember, the goal of Wikipedia is not to be the first to know, but to be the most reliable summary of known information. By respecting the No Original Research policy, you contribute to a stable, trustworthy resource that stands the test of time. It’s a slower process than posting breaking news, but the result is far more durable and valuable.
Can I use my own calculations in a Wikipedia article?
Yes, but only if the calculation is simple and universally accepted, such as converting units or calculating a basic percentage. Complex analyses or derived metrics that require interpretation should be sourced from a reliable publication that has performed the same calculation.
What happens if I add original research to an article?
Other editors may revert the change, leaving a note on the talk page explaining the violation. Repeated offenses can lead to temporary restrictions on editing. It is best to discuss changes on the talk page before making significant edits to avoid conflict.
Is a blog post considered a reliable source?
Generally, no, unless the blog is written by an expert in the field and covers their own work. For general topics, prefer established newspapers, academic journals, or books. Blogs are often seen as primary sources or opinion pieces, which are less suitable for encyclopedic entries.
How do I cite a source that implies a conclusion but doesn't state it?
You shouldn't. If the conclusion isn't explicitly stated in the source, it is considered original research to derive it yourself. You need to find a different source that explicitly makes that claim or wait for a tertiary source to summarize the implication.
Does the No Original Research policy apply to images?
Yes. Image captions and descriptions must be factual and sourced. Adding interpretive text to an image caption, such as analyzing the artist's intent without a critic's quote, is a form of original research. Keep captions descriptive and neutral.
