Insider: Trump Administration Plans to Reform Employment Data Reporting Method to Avoid Major Data Revisions
BlockBeats News, August 13th. According to The Wall Street Journal citing sources familiar with the matter, after weak job performance data led to the sudden dismissal of the Bureau of Labor Statistics director earlier this month, White House officials revealed that the Trump administration is considering changing the way federal government employment data is collected and released.
Sources revealed that in recent days, White House staff have held a series of closed-door meetings with Department of Labor officials to discuss solutions such as using new technology to improve data collection efficiency. A White House aide stated that increasing the Labor Statistics Bureau's survey response rate is one of the reform goals. Officials said Trump has explicitly demanded to avoid major data revisions in the future. White House Press Secretary Levitt said on Tuesday that the President is examining the "statistical methods and processes" behind employment data.
Reports indicate that if there is a change in the statistical methodology of the Non-Farm Payrolls report released on the first Friday of each month, it may raise suspicions from the public that Trump is manipulating data for political purposes. The President, who is known for questioning data that does not align with his worldview, has recently intensified his control over traditional independent agencies and has purged career officials considered disloyal.
You may also like

BitsLab Deep Production: Nanobot User Security Practice Guide

What are the common traits of people who founded a $5 Billion+ company before the age of 23?

Why Hasn't $160 Billion Stripe Gone Public?

All the AI News You Need to Know is Here, Lyrical Officially Launches AI News Feed

Bitwise: Why Bitcoin Is Destined to Impact a Million Dollars?

Amid Geopolitical Turmoil, Tokenized Gold Emerges Alongside Round-the-Clock On-Chain Markets

Who Longs War on Polymarket?

4 AI Trading Strategy Lessons from WEEX Hackathon Finalist
Finalist Bambi shares how AI tools helped turn real trading experience into an automated strategy, why survival-first risk control shaped the system’s design, and how the approach will evolve ahead of WEEX AI Trading Hackathon Season 2.

Hong Kong Crypto Ecosystem 2.0: Stablecoins, RWA, and the New Battleground for Financial Institutions

Polymarket Arbitrage Bible: The Real Gap is in the Mathematical Infrastructure

Crypto Barbarians Jupiter Series: Still Owes the Market an Answer

Bank Card Payment vs. Stablecoin Payment: Which is More Suitable for AI Agents?

Zuck is really out of touch! He actually acquired a dated Lobster-based social platform?

Key Market Information Discrepancy on March 11th - A Must-See! | Alpha Morning Report

How to Deal with Trump? Accept this "Art of the Deal Playbook"

AI Computing Power Arms Race Intensifies: This Startup Aims to Mine Bitcoin in Space

Claude Code launches the /btw feature, Musk X Money set to launch soon, what's the English community talking about today?
