How many Jensen Huang affairs will be reported by December 31?

「How many Jensen Huang affairs will be reported by December 31?」に関する最新の予測市場データによると、トレーダーの間で強いコンセンサスが形成されています。

現在、3 が 53% という圧倒的な勝率で市場を支配しています。4 が 25.5% で2番手、5 が 6.5% で3番手。この市場の賭け金はすでに $89.2K に達し、高い関心を示しています。

各結果の位置をより的確に評価するため、市場はインプライド確率と契約価格に基づいて3つの取引ティアに分けられます：

🥇 ティア1：圧倒的なリーダー

• 3 (53%)：最も高い確率を持つ 3 は板から厚く支持されています。この結果に賭けるトレーダーは 53¢ の「Buy Yes」契約価格に直面し、市場の強い確信を示しています。 この契約だけで $32.0K の出来高を生んでいます。

🥈 ティア2：主要な対抗馬

• 4 (25.5%)：最も有力な対抗馬として、4 は 25.5% の的中確率を維持しています。「Buy Yes」株は現在 26¢ で取引されています。
• 5 (6.5%)：6.5% の確率で3番手につけ、市場は 5 に慎重な懐疑を示し、勢いが変わらない限り外部のワイルドカードと見なしています。

🥉 ティア3：ロングテール選択肢（合計約 15%）

トップ3以外にも、多くのマクロ変数と大穴の結果が追跡されています。個々の確率は低いものの、投機トレーダーにとって重要なヘッジとなります：

• 代替選択肢：6 (6.5%)、7+ (6%) などが含まれます。
• 投機的出来高：統計的な可能性は低いものの、6 のようなロングテール契約は依然として相応の関心を集めています。

On November 8, 2026, Jensen Huang acknowledged in a message to NVIDIA employees that he had been unfaithful to his wife; news reports have identified the woman involved as Alice Huang. On November 11, 2026, The New York Times reported that Huang had also had an affair with Kimberly Powell, NVIDIA’s vice president of healthcare; Huang, Powell and NVIDIA have not confirmed that report. On November 12, 2026, Reuters reported that Huang had an intimate relationship with a second NVIDIA employee, whom it did not name.

This market will resolve according to the number of people with whom Jensen Huang has been reported to have had an affair as of December 31, 2026, 11:59 PM ET. The count starts at three (Alice Huang, Kimberly Powell and the NVIDIA employee reported by Reuters) and increases by one for each additional person who is the subject of a qualifying report published by a qualifying outlet between market creation and December 31, 2026, 11:59 PM ET.

An affair refers to a romantic or sexual relationship outside Jensen Huang’s marriage. The affair itself may have taken place at any time during his marriage; only the timing of the report matters.

The qualifying outlets are The New York Times, The Wall Street Journal, The Washington Post, Financial Times, Reuters, the Associated Press, CNN, Bloomberg, ABC News, CBS News, NBC News and Fox News. Only news articles published on an outlet’s own platform qualify; editorials, opinion pieces, columns, broadcast or video segments, podcasts, social media posts and sponsored content will not qualify.

A report will qualify if it meets any of the following:

1. presents the affair as fact;

2. reports the affair based on the outlet’s own sourcing, such as people familiar with the matter, documents or recordings (as in The New York Times’ November 11, 2026 report on Kimberly Powell);

3. reports an alleged affair between Jensen Huang and a specific person other than Alice Huang, Kimberly Powell, the employee reported by Reuters or anyone else already counted, regardless of whether the outlet presents the allegation as credible; or

4. reports that Jensen Huang, directly or through his official or legal representatives, has acknowledged such an affair.

Reports under 1 or 2 qualify whether or not the person involved is named, provided they clearly distinguish that person from Alice Huang, Kimberly Powell, the unnamed NVIDIA employee reported by Reuters and anyone else already counted. A report does so if it, or other reporting from a qualifying outlet, makes clear that the person is not someone already counted (e.g., by describing them as a third NVIDIA employee with whom Huang had a relationship, or as someone who has never worked at NVIDIA). A report confirming that Huang had affairs with at least a stated number of people will set the count to that number if it is higher than the count otherwise established.

If it is unclear whether a person in a report is someone already counted, that person will be treated as already counted, and this market will resolve to the lower number.

The following will not add to the count:

(i) reports that name or otherwise identify the NVIDIA employee reported by Reuters or anyone else already counted;

(ii) reports about any person, named or unnamed, that do not make clear, on their own or together with other reporting from a qualifying outlet, that the person is not someone already counted;

(iii) general references to Huang’s infidelity (e.g., “Huang has been unfaithful for a while”); and

(iv) allegations about an unnamed person that the outlet only relays from others, such as social media posts or other outlets’ reporting.

A report under 4 qualifies only if it reports an acknowledgment, including one in private testimony that has been made public, that names a person who is distinguished from those already counted as described above, or makes clear that Huang was unfaithful with more people than the count otherwise established (for example, by acknowledging affairs with four or more people). Reports of acknowledgments that are not explicit and unambiguous, or that are clearly sarcastic, made in jest or immediately clarified as not being genuine, will not qualify.

Alice Huang, Kimberly Powell and the NVIDIA employee reported by Reuters count toward the total even though they were reported before market creation. Any additional person counts only if a qualifying report about them is first published between market creation and December 31, 2026, 11:59 PM ET. Reports that only reference or link to articles published before market creation will not qualify unless they themselves meet the requirements above, and an article first published before market creation will qualify only if a later update first makes it meet those requirements, in which case the time of the update governs.

The resolution source for this market will be reporting from the qualifying outlets; for acknowledgments, official information from Jensen Huang or his official or legal representatives may also be used.

人間のコンセンサスと投機的出来高がより広い予測市場を形作る一方で、当社の定量アルゴリズムはデータ駆動の対抗的視点を提供します。ファンダメンタルなシグナル、基調トレンド、過去の分布を分析し、AI バリュエーションモデルは各結果に独立した「フェアバリュー」確率を算出します。

このフェアバリューを現在の取引価値と比較すると、大きな乖離——すなわち期待値（EV）ギャップ——が明らかになります。プラスの EV ギャップは統計的に割安な結果を、マイナスの EV ギャップは市場の過剰反応の可能性を示します。

トップ AI アルファ＆ミスプライス裁定機会

最新のデータモデル実行に基づき、いくつかの主要な契約が顕著な乖離を示しています：

• 最も過大評価された結果：4 は現在 25.5% で取引されていますが、AI のフェアバリューはわずか 13.2% です。これは -12.3% という大きなマイナス EV ギャップを生み、群衆がこの結果を過剰に煽り、プレミアムを高くしすぎている可能性を示します。