Corrections Policy

Last Updated: 7 October 2026

At CLATRankPredictor.com , accuracy matters.

Our website includes CLAT data, marks-vs-rank analysis, NLU cutoffs, seat matrices, counselling information, exam updates, rank predictions, and other information that aspirants may use while making important decisions.

We make reasonable efforts to publish accurate and current information.

But errors can happen.

When they do, we believe they should be corrected clearly and responsibly.

This policy explains how we handle factual corrections, data updates, editorial changes, and correction requests from users.

Our Commitment to Accuracy

We aim to correct factual errors as soon as reasonably possible after they are identified and verified.

A correction may involve:

  • changing an incorrect number;
  • updating a date;
  • correcting a cutoff;
  • revising a closing rank;
  • replacing outdated seat data;
  • clarifying an explanation;
  • updating a source;
  • correcting a misleading conclusion.

Our goal is not to hide mistakes.

Our goal is to improve the information.

What Counts as a Correction?

A correction is needed when information already published is materially inaccurate.

Examples may include:

  • incorrect CLAT exam date;
  • incorrect score or rank;
  • wrong NLU closing rank;
  • incorrect seat matrix;
  • inaccurate reservation information;
  • wrong counselling round;
  • incorrectly attributed official information;
  • factual errors in a report.

Updates Are Not Always Corrections

Some changes happen because new information becomes available.

For example:

A page may initially show an expected CLAT cutoff.

After official counselling data becomes available, we may replace it with the actual closing rank.

That does not necessarily mean the earlier content was erroneous.

It may simply mean the information has moved from prediction to confirmed data.

We may classify such changes as updates rather than corrections.

Minor Editorial Changes

We may correct minor issues without publishing a formal correction notice.

These may include:

  • spelling;
  • punctuation;
  • formatting;
  • grammar;
  • broken links;
  • minor wording improvements.

Such changes do not materially alter the meaning of the page.

Material Corrections

A correction may be considered material when it significantly changes:

  • a major factual claim;
  • a reported cutoff;
  • a marks-vs-rank conclusion;
  • an NLU admission interpretation;
  • a key data table;
  • the meaning of a report.

Where appropriate, we may add a visible note explaining that the page has been corrected or substantially updated.

How We Review Correction Requests

When a correction is reported, we may review:

  • the information currently published;
  • the evidence supplied;
  • available official sources;
  • relevant historical or counselling context;
  • whether the issue is factual or interpretive.

We do not automatically change information simply because a different number appears on another website.

The supporting evidence matters.

How to Report an Error

If you believe something on CLATRankPredictor.com is incorrect, please contact us through our Contact Us page.

Where possible, include:

  • the page URL;
  • the exact information you believe is wrong;
  • what you believe the correct information should be;
  • the relevant exam year;
  • the relevant category or NLU;
  • a reliable supporting source.

The more specific the request, the easier it is for us to investigate.

Preferred Sources for Corrections

Official documentation is particularly useful.

Examples include:

  • Consortium notices;
  • official NLU websites;
  • counselling lists;
  • official seat matrices;
  • official result notices;
  • official admission documents.

Reliable supporting data from other sources may also be considered.

Marks vs Rank Corrections

Marks-vs-rank data is sometimes reconstructed from multiple sources rather than one official database.

If you report a marks-vs-rank discrepancy, we may review:

  • verified scorecards;
  • candidate rank data;
  • existing score bands;
  • historical trends;
  • other reliable reports.

One isolated self-reported score may not automatically justify changing an entire range.

Instead, it may be incorporated into a broader dataset.

Rank Prediction Corrections

A model-generated rank prediction is an estimate rather than a factual statement.

If your final rank differs from the prediction, this does not automatically mean the published page contained an editorial error.

However, actual outcome data can help us evaluate and improve our model.

Where enough verified results show a systematic difference, we may recalibrate prediction ranges.

NLU Admission Corrections

NLU cutoffs can vary by:

  • counselling round;
  • category;
  • domicile;
  • gender reservation;
  • programme;
  • vacancy movement.

When reporting a cutoff error, please specify which of these applies.

This helps prevent a correct General closing rank from being mistakenly compared with a different category or counselling round.

Source Corrections

If we have cited or relied on a source that is later shown to be incorrect, outdated, or superseded, we may:

  • replace the source;
  • update the claim;
  • clarify the context;
  • remove the affected information.

Historical Data Corrections

Historical datasets may occasionally improve as additional verified information becomes available.

We may revise past tables when stronger evidence appears.

When a substantial historical dataset changes, we may add an update note or revised date.

Transparency Around Major Changes

Where practical, major corrections may include language such as:

Correction: An earlier version of this page listed the closing rank as X. The figure has been updated to Y based on the official counselling list.

or:

Updated: This section has been revised after the release of final counselling data.

This helps readers understand why the information changed.

We Do Not Remove Accurate Information Simply Because It Is Unfavourable

Correction requests are reviewed for accuracy, not preference.

We do not remove or alter accurate information simply because:

  • an organisation dislikes it;
  • a result appears unfavourable;
  • a ranking or cutoff is inconvenient;
  • a third party requests a more promotional interpretation.

Evidence determines the correction.

Good-Faith Feedback

We welcome responsible feedback from:

  • aspirants;
  • parents;
  • NLU students;
  • graduates;
  • researchers;
  • educators;
  • official representatives;
  • other knowledgeable readers.

Legitimate feedback helps improve the platform.

Abuse of the Corrections Process

We may disregard requests that involve:

  • harassment;
  • spam;
  • repeated unsupported claims;
  • threats;
  • attempts to manipulate data;
  • requests to publish knowingly false information.

Our corrections process exists to improve accuracy.

How Quickly Do We Correct Errors?

Correction time depends on:

  • the seriousness of the error;
  • availability of evidence;
  • whether official verification is required;
  • the complexity of the data.

High-impact factual errors are prioritised.

We do not guarantee a fixed response time, but we aim to review legitimate issues reasonably promptly.

Corrections and SEO

We do not preserve incorrect information simply because it ranks well on Google.

If a page contains inaccurate data, accuracy takes priority over search performance.

This principle is important to our editorial standards.

Contact Us About a Correction

To report an error, use our Contact Us page and select Data Correction where available.

Please include:

  • Page URL
  • Current information
  • Suggested correction
  • Supporting source

For security or privacy concerns, use the appropriate contact channel instead.

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