A simplified approach to investigating the effects of large language models on human populations could involve the following steps:

1. Conduct research to gather data on the effects of large language models on human populations.

2. Analyze the data to identify patterns and trends related to the impact of large language models on human behavior and wellbeing.

3. Develop ethical guidelines and policy recommendations based on the research findings.

4. Engage with stakeholders, including the public, policymakers, and advocacy groups, to raise awareness of the impact of large language models on human populations and disseminate the findings of the research project.

While this is a simplified approach, it is important to note that investigating the effects of large language models on human populations is a complex and multifaceted issue that requires careful consideration of various factors, including ethical considerations, privacy concerns, legal implications, and policy recommendations.