Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

Bias Analysis

Detected Bias Types
windows_first
powershell_heavy
Summary
The documentation generally provides platform-neutral information about X.509 certificates, with a strong focus on standards and OpenSSL (Linux/macOS-friendly). However, in the 'Verify certificate manually after upload' section, the PowerShell script example is listed first, before the Bash script and OpenSSL instructions. This ordering, along with the explicit mention of PowerShell, subtly prioritizes Windows tooling and workflow, which may suggest a Windows-first bias. There are no Linux-specific tools (e.g., certtool, gnutls) mentioned, but Bash/OpenSSL examples are present and comprehensive.
Recommendations
  • List Bash and OpenSSL examples before PowerShell examples to avoid implicit prioritization of Windows workflows.
  • Explicitly state that all examples are cross-platform where applicable, and clarify which commands/scripts work on Linux, macOS, and Windows.
  • Consider adding Linux-specific certificate management tool references (e.g., certtool, gnutls) if relevant.
  • Ensure parity in script availability and documentation for both PowerShell and Bash, including links and troubleshooting notes for each platform.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Biased Biased
2026-01-13 00:00 #246 completed Biased Biased
2026-01-11 00:00 #240 completed Biased Biased
2026-01-10 00:00 #237 completed Biased Biased
2026-01-09 00:34 #234 completed Biased Biased
2026-01-08 00:53 #231 completed Biased Biased
2026-01-06 18:15 #225 cancelled Clean Clean
2025-09-03 00:00 #100 completed Clean Clean
2025-08-03 00:00 #69 completed Clean Clean
2025-07-13 21:37 #48 completed Biased Biased
2025-07-12 23:44 #41 cancelled Biased Biased
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Biased Biased

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