# $ASST Social Sentiment & Intelligence — 2026-08-20 17:50 UTC

> **Asset:** $ASST  
> **Momentum Status:** Stable  
> **Timestamp:** 2026-08-20 17:50 UTC (2026-08-20T17:50:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-08-20-17-50/crypto/ASST  
> **Overview Brief:** https://cryptitalk.com/2026-08-20-17-50/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 615
- **Likes:** 26
- **Retweets:** 1
- **Comments:** 0

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 0, Retweets: 1, Likes: 26, Impressions: 615


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## Cited Community Posts & Evidence


### Post #1 by @cryptogoos
> **Author:** [@cryptogoos](https://x.com/cryptogoos)  
> **Metrics:** 13 likes · 0 retweets · 1 comments · 1.2K views  


> **Source Link:** [https://x.com/cryptogoos/status/2090497987910811849](https://x.com/cryptogoos/status/2090497987910811849)  


> **Visual Context:** The image is a four-panel calibration chart from Kalshi titled "Calibration by Time Horizon," displaying observed frequency versus predicted probability for prediction markets across 3-month (n=12,939), 1-month (n=33,562), 1-week (n=84,210), and 1-day (n=492,114) time horizons, with data points closely tracking the "perfect calibration" dashed line. This supports the post's claim by visually demonstrating that across hundreds of thousands of real-money predictions, market-forecasted probabilities closely match actual outcomes, proving the crowd's predictive accuracy even in low-volume markets.  

> 
> "Prediction markets are the future.

Here’s why.

The largest prediction market study ever conducted shows that the crowd can predict outcomes with remarkable accuracy, even in markets with low volume. 

Turns out, thousands of people putting REAL money behind what they believe"




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## Contributing Accounts

- `@mikewmunz` (https://x.com/mikewmunz)