The Future of Trust and Distrust in an AI World Webinar
Join Roy Morgan CEO, Michele Levine to discover:
• In a world dominated by AI and politics, what is the role of trust and distrust, and how does it relate to brands?
• Which brands are now Australia’s most Trusted and Distrusted?
• How are Telstra, Optus, Coles, OpenAI, Kmart, Toyota, Qantas, Shell, Bendigo Bank, ING, Hancock Prospecting & Vodafone performing?
• Which brand has deteriorated to enter the 20 most distrusted list for the first time?
• What common thread is impacting brands from AI to consumer pessimism to politics?
Margin of Error
The margin of error to be allowed for in any estimate depends mainly on the number of interviews on which it is based. Margin of error gives indications of the likely range within which estimates would be 95% likely to fall, expressed as the number of percentage points above or below the actual estimate. Allowance for design effects (such as stratification and weighting) should be made as appropriate.
| Sample Size | Percentage Estimate |
| 40% – 60% | 25% or 75% | 10% or 90% | 5% or 95% | |
| 1,000 | ±3.0 | ±2.7 | ±1.9 | ±1.3 |
| 5,000 | ±1.4 | ±1.2 | ±0.8 | ±0.6 |
| 7,500 | ±1.1 | ±1.0 | ±0.7 | ±0.5 |
| 10,000 | ±1.0 | ±0.9 | ±0.6 | ±0.4 |
| 20,000 | ±0.7 | ±0.6 | ±0.4 | ±0.3 |
| 50,000 | ±0.4 | ±0.4 | ±0.3 | ±0.2 |
