$126.69K
1
25
$126.69K
1
25
Trader mode: Actionable analysis for identifying opportunities and edge
This market will resolve based on the next individual announced to leave the Trump Cabinet, or who otherwise ceases to be a member of the administration. If no one leaves by December 31, 2026, 11:59 PM ET, this market will resolve to “None before 2027”. An announcement of an individual's resignation/removal before this market's end date will immediately resolve this market to "Yes", regardless of when the resignation/removal takes effect. If multiple individuals announce departures or are remo
Right now, prediction markets give Kristi Noem roughly a 1 in 4 chance of being the next person to leave a potential future Trump cabinet. This is the highest single probability among many names being tracked, but it still signals that traders see her departure as only somewhat likely. The market collectively believes it is more probable that someone else will leave first, or that no one will depart before the end of 2026. The wide range of other names with smaller probabilities shows significant uncertainty about who might go and when.
Two main factors are shaping these odds. First, Governor Noem has faced sustained negative publicity since the spring of 2024, primarily related to anecdotes in her memoir about shooting a dog and a fabricated story about meeting Kim Jong Un. This has damaged her national political brand. Second, while she is a staunch conservative and was once considered a strong contender for the Vice Presidential nomination, this controversy has made her a potentially risky pick for a cabinet role that requires Senate confirmation. Traders are weighing whether these headwinds could lead to her being passed over for a position or leaving one quickly if appointed.
The biggest factor is the 2024 presidential election itself. If Donald Trump does not win in November, this market becomes mostly irrelevant as there would be no "next" Trump cabinet. Assuming a Trump victory, the key period to watch is between Election Day and the inauguration in January 2025. The composition of the proposed cabinet will be announced then, and the Senate confirmation process for nominees will begin. Any nominee facing difficult confirmation hearings or significant opposition could become a likely candidate to withdraw or be the first to leave the administration.
Markets are generally decent at aggregating political odds, but this specific question is very hard to forecast. It depends on an election outcome, personal decisions by individuals who may not yet be in government, and unpredictable future scandals or events. For similar "personnel" questions in politics, markets have a mixed record because they can be upended by a single sudden announcement. The moderate amount of money wagered here, about $125,000, suggests informed interest but not a overwhelming consensus, which fits the high uncertainty of the situation.
Prediction markets currently assign a low probability to Kristi Noem being the next departure from the Trump Cabinet. Her contract trades at 23¢ on Polymarket, implying a 23% chance. This price suggests traders view her exit as a plausible but not leading scenario. The market structure, with 25 individual candidate markets, shows fragmented liquidity. The leading position of Noem’s low-probability contract indicates high uncertainty, with no clear consensus on who might leave first. The overall volume of $125,000 is moderate, allowing for meaningful sentiment signals but not deep institutional betting.
Noem’s elevated odds compared to other potential candidates stem from recent controversies that have damaged her political brand. A 2024 memoir included a widely criticized story about shooting a family dog, which led to canceled media appearances and public rebukes from some Republican figures. This self-inflicted reputational harm makes her a less stable political asset. Historical patterns also matter. In prior administrations, cabinet officials facing sustained negative press and losing favor with the president’s core base often have shorter tenures. Noem’s current role as a potential cabinet pick, rather than a seated secretary, is key. The market is essentially betting her nomination could be withdrawn or she could resign from a future post quickly if confirmed under a cloud.
The odds for Noem and all candidates are highly sensitive to the election outcome and subsequent cabinet formation process. If Donald Trump wins the November 2024 election, the odds will shift dramatically based on official nominations and Senate confirmation hearings. Noem’s probability would likely spike if she is nominated for a role like Secretary of Agriculture and faces intense Senate scrutiny over her controversies. Conversely, if she is not nominated at all, her contract would fall to near zero. For seated cabinet members in a second Trump term, odds will be driven by policy failures, scandals, or public clashes with the president. The first major departure often comes within the initial 6-12 months of a new term, making the first half of 2025 a critical period for this market.
AI-generated analysis based on market data. Not financial advice.
This prediction market focuses on identifying which member of the Trump administration's cabinet will be the next to depart, either through resignation or removal. The market resolves immediately upon the public announcement of a departure, regardless of the effective date, and will close if no one leaves by December 31, 2026. Cabinet turnover is a recurring feature of U.S. presidential administrations, often reflecting internal policy disputes, political pressure, or personal decisions. In the context of a potential second Trump term, speculation centers on which officials might leave first, based on their public alignment with the administration's agenda, their personal ambitions, or their vulnerability to external criticism. Media outlets and political analysts frequently track cabinet stability as an indicator of administrative cohesion and policy direction. The interest in this market stems from its function as a real-time gauge of political volatility within the executive branch, offering insights that go beyond traditional polling or commentary.
Cabinet turnover during the Trump administration was historically high. A 2020 study by the Brookings Institution found that 65% of President Trump's initial cabinet had departed by the end of his third year, a rate exceeding the five previous presidents. High-profile departures often followed public disagreements. For example, Secretary of State Rex Tillerson was fired via tweet in March 2018 after reported conflicts over North Korea policy. Attorney General Jeff Sessions resigned in November 2018 after enduring prolonged public criticism from the President over his recusal from the Russia investigation. The pattern of dismissals and resignations created an environment of frequent personnel change. This historical precedent establishes a framework for anticipating volatility in a potential second-term cabinet, where officials serving in an acting capacity or those who have previously clashed with the President may be particularly vulnerable to early replacement.
Cabinet stability directly influences government policy implementation and national security. Frequent turnover can disrupt long-term strategic planning at departments like Defense, State, and Homeland Security, potentially affecting military readiness, diplomatic relations, and border management. For financial markets and the business community, uncertainty at the Treasury Department or in key economic advisory roles can create volatility, impacting investment decisions and economic forecasting. Politically, early departures can signal internal administration strife, affecting legislative strategy and the administration's ability to rally congressional support. They also provide opportunities for opposition parties to highlight discord and for media to frame narratives of a chaotic executive branch.
As of late 2024, the composition of a potential second-term Trump cabinet remains speculative and undefined. No official announcements regarding appointments have been made. Media speculation, based on reporting from outlets like Axios and The New York Times, suggests that planning for a potential administration is underway among allies, with lists of potential candidates for major departments being circulated. This planning phase itself generates predictions about which former officials might return and which might be passed over, informing the odds in prediction markets.
The market resolves based on a public announcement of a resignation or removal. The effective date of the departure does not matter for resolution; the announcement itself triggers the market outcome. This includes announcements from the White House, the official themselves, or major credible news reports confirming the departure.
No modern president has had a cabinet with zero turnover. Every administration since at least World War II has experienced at least some cabinet-level personnel changes due to resignations, dismissals, or appointments to other positions. Turnover is a normal part of presidential governance.
The market rules specify it resolves on the 'next' individual announced. In the event of simultaneous announcements, the market resolver would likely use the timestamp of the first credible public report or official statement to determine the sequence and declare the winner.
Yes. The market resolves based on the next individual to leave the 'Trump Cabinet,' which includes both Senate-confirmed secretaries and officials serving in an acting capacity in a cabinet-level role, as defined by the administration's own structure.
Prediction markets aggregate the beliefs of many participants who risk real money on outcomes. They can provide a collective forecast that sometimes differs from polls or punditry, as they incentivize accurate information gathering. Tracking cabinet stability offers insight into administrative cohesion and potential policy shifts.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
25 markets tracked
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| Poly | 23% |
| Poly | 20% |
| Poly | 15% |
| Poly | 13% |
| Poly | 7% |
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| Poly | 5% |
| Poly | 4% |
| Poly | 3% |
| Poly | 2% |
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| Poly | 2% |
| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
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| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
| Poly | 1% |
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