Ryerson Project Ryerson Project

Ryerson Project Item 40

I expect developing artificial intelligence will increase my quality of life.

American adults' average (mean) response was 4.81 on a scale of 0 (Disagree) to 10 (Agree). 1,049 responses have been collected (so far) from 2026-05-01 to 2026-10-06.

Descriptive Statistics

Mean4.81
Median5.00
Standard deviation3.04
N1,049
Standard error0.094

All-Time Distribution

Response 0: 138 Response 1: 64 Response 2: 96 Response 3: 71 Response 4: 61 Response 5: 139 Response 6: 133 Response 7: 124 Response 8: 110 Response 9: 42 Response 10: 71 0 1 2 3 4 5 6 7 8 9 10 0 139 Agreement (0 = maximum disagreement, 10 = maximum agreement) Count

Comparison to Other Items

Based on all-time mean agreement, this item ranks 104 out of 139 qualifying items and is at the 25.4 percentile.

Qualifying items have 100 or more total observations. Higher means indicate more agreement and therefore a higher rank.

Monthly Trend

0 1 2 3 4 5 6 7 8 9 10 0% 50% 100% 0 5 10 2026-05 response 0: 6.9% 2026-05 response 1: 6.9% 2026-05 response 2: 6.9% 2026-05 response 3: 3.4% 2026-05 response 4: 10.3% 2026-05 response 5: 8.6% 2026-05 response 6: 15.5% 2026-05 response 7: 18.1% 2026-05 response 8: 10.3% 2026-05 response 9: 6.0% 2026-05 response 10: 6.9% 2026-06 response 0: 13.4% 2026-06 response 1: 3.1% 2026-06 response 2: 3.9% 2026-06 response 3: 7.1% 2026-06 response 4: 5.5% 2026-06 response 5: 17.3% 2026-06 response 6: 13.4% 2026-06 response 7: 11.8% 2026-06 response 8: 14.2% 2026-06 response 9: 3.9% 2026-06 response 10: 6.3% 2026-07 response 0: 12.7% 2026-07 response 1: 6.9% 2026-07 response 2: 9.2% 2026-07 response 3: 7.7% 2026-07 response 4: 5.8% 2026-07 response 5: 11.5% 2026-07 response 6: 16.5% 2026-07 response 7: 10.0% 2026-07 response 8: 10.0% 2026-07 response 9: 2.7% 2026-07 response 10: 6.9% 2026-08 response 0: 12.0% 2026-08 response 1: 5.6% 2026-08 response 2: 9.8% 2026-08 response 3: 8.1% 2026-08 response 4: 4.7% 2026-08 response 5: 15.0% 2026-08 response 6: 11.5% 2026-08 response 7: 13.7% 2026-08 response 8: 8.1% 2026-08 response 9: 5.1% 2026-08 response 10: 6.4% 2026-09 response 0: 16.8% 2026-09 response 1: 7.2% 2026-09 response 2: 11.1% 2026-09 response 3: 6.1% 2026-09 response 4: 5.4% 2026-09 response 5: 12.9% 2026-09 response 6: 9.7% 2026-09 response 7: 9.0% 2026-09 response 8: 10.8% 2026-09 response 9: 3.6% 2026-09 response 10: 7.5% 2026-10 response 0: 15.2% 2026-10 response 1: 3.0% 2026-10 response 2: 15.2% 2026-10 response 3: 6.1% 2026-10 response 4: 3.0% 2026-10 response 5: 18.2% 2026-10 response 6: 3.0% 2026-10 response 7: 15.2% 2026-10 response 8: 15.2% 2026-10 response 9: 3.0% 2026-10 response 10: 3.0% May 2026 Jun 2026 Jul 2026 Aug 2026 Sep 2026 Oct 2026 Observation month Percent of responses Monthly mean

Observed Trend

Observations suggest decreasing agreement over the observed period, from 2026-05-01 to 2026-10-06. The estimated change over that period is -0.980 points on a 0 to 10 scale. Regression results place a 95% confidence interval around that observed-period change of [-1.681, -0.280].
Regression table

The daily slope annualized over 365.25 days is -2.266 points per year, with a 95% confidence interval of [-3.886, -0.647]. This short-window annualized number is provided for reference, but the observed-period change above is the primary trend estimate.

Call:
lm(formula = response_value ~ days_since_start, data = model_data)

Residuals:
    Min      1Q  Median      3Q     Max 
-5.3326 -2.5943  0.3747  2.3188  5.5856 

Coefficients:
                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)       5.376019   0.227609  23.619  < 2e-16 ***
days_since_start -0.006204   0.002260  -2.746  0.00614 ** 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.034 on 1047 degrees of freedom
Multiple R-squared:  0.007149,	Adjusted R-squared:  0.0062 
F-statistic: 7.539 on 1 and 1047 DF,  p-value: 0.006143