# Why did Turnitin Clarity 2026 flag 19% AI on my human-written WGU MBA C201 paper and how to fix it (#106)?

- **Canonical URL**: http://www.employeevantage.com/q/q-8802-search-intent-0106
- **Portal**: AskCampusQA (CampusQA)
- **Topic Cluster**: Capella FlexPath (FPX)
- **Asked by**: GradStudent_106 (BSN/MSN & MBA Cohort Member)
- **Question Upvotes**: 70
- **Tags**: #turnitin, #wgu, #mba, #apa7, #ai-detection, #appeals

## Question Details
I drafted my 18-page WGU MBA C201 task from scratch using my own outline, yet the 2026 Turnitin AI detector highlighted my introduction and methodology transitions at 19%. What sentence-level edits eliminate false-positive perplexity triggers before final evaluation?

## Accepted Expert Answer — Dr. Marcus Chen, EdD (Quantitative & Literature Review Methodology Specialist)
- **Credentials**: APA 7th / Harvard / MLA Citation Auditor · Peer-Review Editor
- **Upvotes**: 211

> **Key Expert Verdict**: Eliminate symmetrical 18-word sentences and boilerplate signposts ('Moreover', 'Crucially'); vary sentence length (8 to 32 words) and embed empirical numbers in every claim.

2026 Turnitin Clarity Audit: False positives around 19% occur when academic prose has low burstiness (uniform sentence length) and predictable transition openers. Break every third sentence into a short 9-word analytical punch, remove stock words like delve, underscore, multifaceted , and tie your WGU C201 rubric points directly to numerical dataset outputs (n = 258).

## Additional Peer & Specialist Answers (3)

### 1. Liam O'Connor, PhD (Cohort #44) — Quantitative SPSS, R & Python Chapter 4 Tutor (+77)
Passed WGU C201 in 28 hours after matching each task prompt number (A1, A2, B1) directly in my subheadings.

### 2. Liam O'Connor, PhD (Cohort #124) — Quantitative SPSS, R & Python Chapter 4 Tutor (+68)
Also keep your Google Docs or Word version history enabled — it is the ultimate timestamped proof of human authorship.

### 3. Dr. Hannah Collins, DNP (Cohort #51) — Walden & Chamberlain DNP PICOT Mentor (+59)
Varying my sentence rhythm and citing raw regression p-values cleared the highlighted blocks to 0% AI in 20 minutes.