Trader sentiment for the top-searched passing on Google in the US during 2026 centers on Dolly Parton’s narrow lead at 52% implied probability, with a broad field of options clustered near 50% and lower odds for figures such as Hayden Panettiere at 13.5%. This tight distribution reflects uncertainty over which death will generate the highest search volume, driven by a candidate’s existing cultural visibility, age-related health factors, and potential for widespread media amplification through algorithms and trending topics. Generic “Person” entries at 50% capture the chance an unexpected passing could dominate via viral coverage, while established names trade lower due to narrower appeal. Key swing factors include any high-profile health disclosures or news events that could shift search trends before year-end resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日ドリー・パートン 52.0%
ヘイデン・パネッティーア 14%
オリバー・ツリー 11%
Bonnie Tyler 6.0%
$82,354 Vol.
$82,354 Vol.

ドリー・パートン
52%

ヘイデン・パネッティーア
14%

オリバー・ツリー
11%

Bonnie Tyler
6%

Chuck Norris
6%

David Hockney
5%

Ali Khamenei
5%

Bob Weir
4%

Nicholas Brendon
3%

Scott Adams
3%

Clive Davis
3%

Kyle Busch
3%

Lindsey Graham
1%

Eric Dane
1%

Renée Good
1%

Victor Willis
1%

ナンシー・ガスリー
1%

Catherine O'Hara
1%

Alex Pretti
<1%

James Van Der Beek
<1%

Robert Duvall
<1%

Jesse Jackson
<1%

Ted Turner
<1%

Valentino Garavani
<1%

Sam Neill
<1%

Alan Greenspan
<1%
ドリー・パートン 52.0%
ヘイデン・パネッティーア 14%
オリバー・ツリー 11%
Bonnie Tyler 6.0%
$82,354 Vol.
$82,354 Vol.

ドリー・パートン
52%

ヘイデン・パネッティーア
14%

オリバー・ツリー
11%

Bonnie Tyler
6%

Chuck Norris
6%

David Hockney
5%

Ali Khamenei
5%

Bob Weir
4%

Nicholas Brendon
3%

Scott Adams
3%

Clive Davis
3%

Kyle Busch
3%

Lindsey Graham
1%

Eric Dane
1%

Renée Good
1%

Victor Willis
1%

ナンシー・ガスリー
1%

Catherine O'Hara
1%

Alex Pretti
<1%

James Van Der Beek
<1%

Robert Duvall
<1%

Jesse Jackson
<1%

Ted Turner
<1%

Valentino Garavani
<1%

Sam Neill
<1%

Alan Greenspan
<1%
The specified list is expected to be displayed on the Google Trends Year in Search hub, with location selected to United States. The navigation procedure as of market creation involves going to trends.withgoogle.com/year-in-search/ and clicking through United States → Trending → Passings. The 2026 page is expected to appear using the same navigation once released (as the 2025 page currently shows the specified ranking). This market will resolve based on the specified list regardless of navigation procedure.
This market may resolve as soon as the specified list for 2026 is released. If Google does not release the specified list by March 31, 2027, 11:59 PM ET, this market will resolve to “Other.”
The resolution source for this market will be the specified list as published by Google.
マーケット開始日: Jul 31, 2026, 7:10 PM ET
リゾルバー
0x69c47De9D...The specified list is expected to be displayed on the Google Trends Year in Search hub, with location selected to United States. The navigation procedure as of market creation involves going to trends.withgoogle.com/year-in-search/ and clicking through United States → Trending → Passings. The 2026 page is expected to appear using the same navigation once released (as the 2025 page currently shows the specified ranking). This market will resolve based on the specified list regardless of navigation procedure.
This market may resolve as soon as the specified list for 2026 is released. If Google does not release the specified list by March 31, 2027, 11:59 PM ET, this market will resolve to “Other.”
The resolution source for this market will be the specified list as published by Google.
リゾルバー
0x69c47De9D...Trader sentiment for the top-searched passing on Google in the US during 2026 centers on Dolly Parton’s narrow lead at 52% implied probability, with a broad field of options clustered near 50% and lower odds for figures such as Hayden Panettiere at 13.5%. This tight distribution reflects uncertainty over which death will generate the highest search volume, driven by a candidate’s existing cultural visibility, age-related health factors, and potential for widespread media amplification through algorithms and trending topics. Generic “Person” entries at 50% capture the chance an unexpected passing could dominate via viral coverage, while established names trade lower due to narrower appeal. Key swing factors include any high-profile health disclosures or news events that could shift search trends before year-end resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
外部リンクに注意してください。
外部リンクに注意してください。
よくある質問