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Home/Macro / Fed/Will Google Voice support RCS by the end of 2027?
ManifoldMacro / FedUpdated 3m ago

Will Google Voice support RCS by the end of 2027?

Market probability
49.5%
Little changed over 24 hours
499 days until the event deadline
Deadline: December 31, 2027 at 6:59 PM ET

No meaningful repricing — the probability is steady.

The pricing has partial support: moderate trading volume.

How credible was the move?

Three separate questions — a move can be genuine while the latest price is still settling. Methodology →

Move validity

Is the move backed by real trading and depth?

Moderate

The pricing has partial support: moderate trading volume.

Consensus stability

Has the market settled at the new probability?

Stable

The probability has held near its current level over the past several hours.

Contract clarity

Will the rules resolve without ambiguity?

High

The resolution rules are relatively specific, with a named source and a defined deadline.

Recent trade activity$86 traded

From the latest trade tape (most recent 200 prints) — a live activity sample, not a lifetime total.

What could move this market next?

  • The market's deadline arrivesDecember 31, 2027 at 6:59 PM ET

    The contract must resolve based on what has happened by this date.

Derived from the contract's own mechanics as of Aug 18, 11:25 PM ET. ProbCast does not list scheduled meetings, announcements, or data releases it cannot verify.

Advanced analysis (experimental)

Research signals — these models are still accumulating the history needed for full validation, and they can disagree with the headline read. Model confidence: low · expected error ±18 pts.

Thin marketLegacy movement classifier: watch

What's happening

low classifier confidence
Thin market

Thin book and/or wide spread. Small orders can move this price disproportionately, so any single print is noisy and easily overread.

Market data

24h volume

Ṁ88.6

Liquidity

Ṁ100

Total volume

Ṁ88.6

Category
Macro / Fed
Venue
Manifold
Open interest
—
Change (pts)1H0.06H0.024H0.07D0.0
Score breakdown — Movement, Liquidity & Trust

ProbCast Trust Score

36/ 100 · Low

Weakly supported. Treat this number skeptically. Main caveat: thin liquidity.

ProbCast measures how reliable this market probability appears — not what to trade.

Movement0

Magnitude of recent probability change

Liquidity49

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ProbCast — Odds Reliability

Know whether prediction-market odds can be trusted. ProbCast analyzes liquidity, market activity, spreads, and price movement to help distinguish meaningful repricing from thin-market noise.

Questions? Chat with us on Telegram
TodayTop MoversEventsAll MarketsWhat ChangedVenue DivergencePolymarket vs KalshiMethodologyCoverageMeta's ArenaWatchlistTerms of UsePrivacyCrypto
  • Thin book and/or wide spread.

Read with caution —Read the latest price with caution; conditions make it an unreliable summary right now.

More details — reliability score, dynamics, durability
Reliability score
10Low
Where the price path tends to go next744 observed
  • Illiquid / quiet99%

Short-term motion of the price line (~1h), distinct from the environment above — not a prediction of the final outcome.

DurabilityHigh· half-life ~4w
PredictabilityStable

Secondary read: leaning toward Stale price.

A read-only classification of the market environment — how much weight the current price deserves as a read of consensus. It describes conditions, never a trade.

Current probability
49.5%
7-day range
49.5% – 49.5%
Resolves
Dec 31, 2027

Depth of the order book and volume

Trust breakdown

36/100 · Low

Weakly supported. Treat this number skeptically. Main caveat: thin liquidity.

  • Liquidity anchor+35
  • Price steadiness+30
  • Thin liquidity-20
  • Limited history-8
Trust score36 / 100
How these scores work →
View on Manifold

ProbCast provides prediction-market data and analytics for informational purposes only. Not financial, trading, betting, investment, legal, or tax advice. Market-implied probabilities can be wrong, illiquid, manipulated, or affected by ambiguous resolution rules.

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Market-implied probabilities can be wrong, illiquid, manipulated, or affected by ambiguous resolution rules.

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