True or False: Direct inquiry, indirect tracking, and third-party data purchase are effective methods of predictive analytics.

Predictive analytics aims to forecast future outcomes based on historical data, and the methods mentioned—direct inquiry, indirect tracking, and third-party data purchase—are indeed relevant to the field. However, the assertion that these methods alone are ineffective is rooted in the understanding that while they can contribute data for predictive analytics, they also raise significant ethical and privacy concerns.

Effective predictive analytics relies not just on the volume of data collected through these means, but also on the quality and the ethical considerations surrounding its collection and use. For instance, direct inquiries may provide specific insights but can lead to biased or limited data if not designed properly. Indirect tracking and third-party data are often criticized for lacking transparency and potentially infringing on individual privacy rights, leading to unfavorable public perception and potential legal implications.

Thus, the correct answer is grounded in recognizing that while these methods are sometimes utilized in the field, their effectiveness must be evaluated alongside ethical implications and privacy concerns that can undermine their validity and reliability. Predictive analytics is more robust and trustworthy when developed using ethically sourced data that respects individual privacy and autonomy.