The First Number Pulls Your Answer
by Anonymous · ⭐ 1 · 🍴 0
⚓ Seeing a “totally unrelated” number first can pull your estimate toward it. Instead of hearing about someone else’s experiment, try it yourself with six questions—draw one card from a bag with 3 large-number cards and 3 small-number cards for each question, decide whether the answer is larger or smaller than that number, then write your estimate. At the end, compare the estimates from the “three large-number” questions and the “three small-number” questions as ratios to the true answers. 🎚️ Use the slider to see why: people “start” from the first number and move toward the true answer, but don’t go all the way. Turn the movement all the way up, and the difference between the large- and small-number groups becomes “exactly 0.” Anchoring happens because we “don’t move far enough.” 🏷️ Finally, find the numbers acting as reference points in list prices, opening offers, the highest menu price, and donation suggestions. ⚠️ The app also explains the limits of your experiment—with six questions, you can’t say that the chance of getting a result like this is less than 1 in 20.},
About this app
The first number pulls you is an interactive lesson on anchoring bias. Across six estimation questions, you draw a randomly assigned large or small number, judge whether the true answer is above or below it, and enter your estimate before comparing results against the true values. Additional views model how moving partway from an initial number toward the truth creates anchoring, then show how list prices, opening offers, expensive menu items, and donation options can act as reference points.
Use cases
- Adults exploring cognitive biases through a hands-on experiment
- Teachers introducing anchoring and estimation in critical-thinking lessons
- Shoppers and negotiators learning to recognize reference prices and opening offers
- Readers interested in psychology and everyday decision-making
Features
- Six estimation questions about landmarks, geography, anatomy, and everyday objects
- Random draw of three large and three small anchor cards
- Comparison of estimates as ratios of the true values
- Slider model showing how adjustment toward the truth changes the anchoring gap
- Four scenario-based questions about prices, negotiations, menus, and donations
- Built-in explanation of the experiment’s 1-in-20 chance limitation