Recent forecasts from the India Meteorological Department and models indicate thundershowers and generally cloudy skies over Uttar Pradesh around August 8, with daytime highs expected near 32–34°C amid active monsoon conditions. These factors limit intense solar heating while high humidity sustains heat indices, producing the tight clustering of market-implied probabilities between 33°C and 34°C. Minor variations in rainfall timing or cloud cover could shift the observed maximum by 1°C either way, explaining the narrow spread versus lower-probability outcomes farther from the consensus. Typical August climatology for Lucknow shows mean maxima near 31–32°C, but persistent moisture and variable convection this week introduce the uncertainty reflected in current trader positioning.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateHighest temperature in Lucknow on August 8?
34°C 39%
33°C 28%
35°C 16%
32°C 14%
26°C or below
1%
27°C
1%
28°C
1%
29°C
2%
30°C
2%
31°C
9%
32°C
14%
33°C
28%
34°C
39%
35°C
16%
36°C or higher
5%
34°C 39%
33°C 28%
35°C 16%
32°C 14%
26°C or below
1%
27°C
1%
28°C
1%
29°C
2%
30°C
2%
31°C
9%
32°C
14%
33°C
28%
34°C
39%
35°C
16%
36°C or higher
5%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Binuksan ang Market: Aug 6, 2026, 1:02 AM ET
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Resolution Source
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Recent forecasts from the India Meteorological Department and models indicate thundershowers and generally cloudy skies over Uttar Pradesh around August 8, with daytime highs expected near 32–34°C amid active monsoon conditions. These factors limit intense solar heating while high humidity sustains heat indices, producing the tight clustering of market-implied probabilities between 33°C and 34°C. Minor variations in rainfall timing or cloud cover could shift the observed maximum by 1°C either way, explaining the narrow spread versus lower-probability outcomes farther from the consensus. Typical August climatology for Lucknow shows mean maxima near 31–32°C, but persistent moisture and variable convection this week introduce the uncertainty reflected in current trader positioning.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update



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