Official observations from the São Paulo-Guarulhos International Airport station, as archived by Weather Underground, confirm the highest temperature on April 1 reached exactly 27°C, driving Polymarket traders to a unanimous 100% implied probability on this outcome. This aligns with INMET reports of widespread cloud cover and scattered thunderstorms across the Southeast region, which suppressed solar heating and limited peak temperatures despite seasonal norms averaging 26°C in April. Forecast models from CPTEC and Climatempo had anticipated highs in the 26–28°C range amid high humidity and instability. Scenarios challenging this positioning—such as a rare data revision from instrument calibration issues or quality control anomalies—are highly improbable once historical records are published.
Resumo experimental gerado por IA com dados do Polymarket · AtualizadoHighest temperature in Sao Paulo on April 1?
Highest temperature in Sao Paulo on April 1?
27°C 100.0%
20°C or below <1%
21°C <1%
22°C <1%
$118,050 Vol.
$118,050 Vol.
20°C or below
No
21°C
No
22°C
No
23°C
No
24°C
No
25°C
No
26°C
No
27°C
Yes
28°C
No
29°C
No
30°C or higher
No
27°C 100.0%
20°C or below <1%
21°C <1%
22°C <1%
$118,050 Vol.
$118,050 Vol.
20°C or below
No
21°C
No
22°C
No
23°C
No
24°C
No
25°C
No
26°C
No
27°C
Yes
28°C
No
29°C
No
30°C or higher
No
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Mercado Aberto: Mar 29, 2026, 2:40 PM ET
Fonte de resolução
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Resultado proposto: Yes
Sem contestação
Resultado final: Yes
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Fonte de resolução
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Resultado proposto: Yes
Sem contestação
Resultado final: Yes
Official observations from the São Paulo-Guarulhos International Airport station, as archived by Weather Underground, confirm the highest temperature on April 1 reached exactly 27°C, driving Polymarket traders to a unanimous 100% implied probability on this outcome. This aligns with INMET reports of widespread cloud cover and scattered thunderstorms across the Southeast region, which suppressed solar heating and limited peak temperatures despite seasonal norms averaging 26°C in April. Forecast models from CPTEC and Climatempo had anticipated highs in the 26–28°C range amid high humidity and instability. Scenarios challenging this positioning—such as a rare data revision from instrument calibration issues or quality control anomalies—are highly improbable once historical records are published.
Resumo experimental gerado por IA com dados do Polymarket · Atualizado
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