GJ.
Fat and stupid with more money than brainpower.
A
U _ _
The Microsoft Certified Technology Specialist (MCTS) certification was designed to validate deep expertise in specific Microsoft technologies. Although it was retired in 2016 and replaced by newer certifications like the MCSA and MCSE, its structure and intent are still important to understand.
Main Features of MCTS
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Technology-Specific Focus
Each certification targeted a particular Microsoft product or platform (e.g., Windows Server, Exchange Server, SQL Server, Visual Studio). -
Validated Competencies
Certified professionals demonstrated skills in configuring, implementing, troubleshooting, and debugging Microsoft technologies. -
Stackable Credentials
Technicians could earn multiple MCTS certifications to show breadth across different technologies, or use them as stepping stones toward higher-level certifications like MCITP (Microsoft Certified IT Professional). -
Global Recognition
MCTS was recognized worldwide as proof of specialized technical knowledge, making it valuable for career advancement. -
Exam-Based Certification
Each credential was earned by passing rigorous exams tailored to the specific Microsoft technology.
How Microsoft’s Native Technologies Complement Each Other
Microsoft’s ecosystem is deliberately designed to be interdependent, creating what you referred to as a kind of soft lock-in for technicians trained in its stack:
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Integrated Platforms
Windows Server, SQL Server, Exchange, SharePoint, and Azure are engineered to work seamlessly together. Skills in one area naturally require or benefit from knowledge in another. -
Unified Development Environment
Visual Studio, .NET, and Azure DevOps provide a consistent framework for application development, deployment, and maintenance. -
Standardized Administration Tools
PowerShell, Active Directory, and Group Policy unify system management across servers, desktops, and cloud services. -
Certification Pathways
By structuring certifications around Microsoft technologies, professionals are encouraged to remain within the Microsoft ecosystem, reinforcing reliance on its tools and platforms. -
Career Incentives
Employers often prefer technicians certified in Microsoft technologies because their infrastructure is built on Microsoft products. This creates a feedback loop where technicians stay within the ecosystem to remain competitive.
The “Soft Lock-In” Effect
This is a strategic ecosystem design:
- Technicians trained in Microsoft tools find their skills most applicable within Microsoft environments.
- Switching to non-Microsoft platforms (Linux, Oracle, AWS) often requires retraining and new certifications.
- Microsoft certifications thus create a professional dependency that reinforces the company’s dominance in enterprise IT.
A pure Jew-Kikuyu affair. Do not involve me in such rubbish.
Cambridge Analytica
Why Data Was Collected
Cambridge Analytica sought to harness psychographic profiling—the idea that people’s personalities, values, and emotions could predict political behavior more effectively than demographics alone. By collecting large-scale personal data, the firm aimed to:
- Build psychological profiles of voters.
- Identify persuadable individuals.
- Deliver highly tailored political advertisements designed to resonate emotionally.
What Kind of Data Was Collected
The scandal centered on Facebook data:
- Personal profiles: names, locations, interests, likes.
- Behavioral data: posts, shares, and interactions.
- Friend networks: information about users’ contacts, even if those contacts hadn’t consented.
- Psychographic traits: inferred from quizzes and surveys, such as personality type, openness, or neuroticism.
This data was harvested through a personality quiz app (“This Is Your Digital Life”), which collected information not only from participants but also from their Facebook friends—ultimately affecting tens of millions of users without their knowledge.
How It Could Be Used Politically
The data enabled micro-targeting:
- Crafting different political messages for different psychological profiles (e.g., fear-based ads for anxious individuals, aspirational ads for optimistic ones).
- Testing which narratives resonated most with specific voter segments.
- Deploying ads strategically in swing states or districts where small shifts in opinion could change outcomes.
Impact on the 2016 U.S. Election
Cambridge Analytica worked with both the Ted Cruz campaign and later the Donald Trump campaign. Their role was to:
- Identify persuadable voters in key battleground states.
- Deliver customized digital ads to maximize emotional impact.
- Amplify divisive issues to mobilize turnout or suppress opposition enthusiasm.
While it’s debated how decisive their influence was, the scandal highlighted:
- The vulnerability of democratic processes to data-driven manipulation.
- The lack of transparency in how political campaigns use personal data.
- The ethical questions around consent and privacy in digital platforms.
Development After the Scandal
The fallout from Cambridge Analytica shaped the U.S. political landscape by:
- Triggering investigations into Facebook’s data practices.
- Raising public awareness of how personal data can be weaponized in politics.
- Leading to calls for stricter data privacy laws and regulation of political advertising online.
I used to think that AI meant American Intelligence.. then I remembered they put a mungiki thug next to POTUS. 