Tootfinder

When Donald Trump didn’t like the weak jobs numbers that were released on Friday, he fired the person responsible for producing them.
It was a move with few precedents in the century-long history of economic statistics in the United States.
And for good reason: When political leaders meddle in government data, it rarely ends well.
Perhaps most famously, there is the case of Argentina, which in the 2000s and 2010s systematically understated inflation figures to such a degre…

Trump Fired America’s Economic Data Collector. History Shows the Perils.
Economists say unbiased data is essential for policymaking, and for democracy.

Trump Fired America's Economic Data Collector. History Shows the Perils. (Ben Casselman/New York Times)
https://www.nytimes.com/2025/08/03/business/trump-bls-firing-economic-reports.html?unlocked_article_code=1.bU8.rRDw.MHENewXzaxZX&smid=url-share
http://www.memeorandum.com/250803/p35#a250803p35

Trump has asked the EU to impose tariffs of up to 100% on India and China as part of an effort to force the Russian president, Vladimir Putin, to end the war in Ukraine, according to reports.
The US president made the demand during a meeting between US and EU officials discussing options to increase economic pressure on Russia on Tuesday

Okta reports Q2 revenue up 13% YoY to $728M, vs. $711.8M est., net income up 131% to $67M, and increases its fiscal 2026 forecast; OKTA jumps 6% after hours (Jordan Novet/CNBC)
https://www.cnbc.com/2025/08/26/okta-q2-earnings-report-2026.html

Okta raises forecast as CEO says economic conditions were ‘better than we thought’
One of Okta's partners, Palo Alto Networks, recently announced an agreement to buy Okta competitor CyberArk.

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
Yumeng Shi, Zhongliang Yang, DiYang Lu, Yisi Wang, Yiting Zhou, Linna Zhou
https://arxiv.org/abs/2508.02738

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
Corporate credit rating serves as a crucial intermediary service in the market economy, playing a key role in maintaining economic order. Existing credit rating models rely on financial metrics and deep learning. However, they often overlook insights from non-financial data, such as corporate annual reports. To address this, this paper introduces a corporate credit rating framework that integrates financial data with features extracted from annual reports using FinBERT, aiming to fully leverage…

@… reports that delivery drones invade the sky of Dublin.
And I thought: That's the solution against Russian drones. If the sky is jammed with commercial delivery drones, the military drones will collide with one or two of them and vanish. Win-win-win for the Commission: The drone wall, Innovation, economic prosperity!!
😜

Russia weighs tax increase as economic pressures mount, Reuters reports: https://benborges.xyz/2025/09/18/russia-weighs-tax-increase-as.html

Patent citations and patent importance
Gaetan de Rassenfosse
https://arxiv.org/abs/2508.20503 https://arxiv.org/pdf/2508.20503

Patent citations and patent importance
This article reviews the empirical evidence on the use of patent citations as a proxy for invention importance. It distinguishes between technical merit, private economic value, and social value, and surveys validation studies using expert ratings, market data, renewal records, and compensation reports. The findings confirm that while the count of citations is positively associated with various dimensions of value, it remains a noisy indicator -- correlated but far from definitive.

Quantifying Fire Risk Index in Chemical Industry Using Statistical Modeling Procedure
Hyewon Jung, Seungil Ahn, Seungho Choi, Yeseul Jeon
https://arxiv.org/abs/2509.21736 https:…

Quantifying Fire Risk Index in Chemical Industry Using Statistical Modeling Procedure
Fire incident reports contain detailed textual narratives that capture causal factors often overlooked in structured records, while financial damage amounts provide measurable outcomes of these events. Integrating these two sources of information is essential for uncovering interpretable links between descriptive causes and their economic consequences. To this end, we develop a data-driven framework that constructs a composite Risk Index, enabling systematic quantification of how specific keywo…