Skip to main content
Skip to content

Duplicate Document

This document appears to be a copy. The original version is:

Abstract Economic Theory on Human Depreciation and Pay Recovery
Case File
kaggle-ho-011044House Oversight

Abstract Economic Theory on Human Depreciation and Pay Recovery

Abstract Economic Theory on Human Depreciation and Pay Recovery The passage contains no concrete allegations, names, transactions, dates, or actionable leads involving any public officials, agencies, or financial flows. It is a theoretical discussion of economic concepts without relevance to investigative journalism. Key insights: Discusses 'human depreciation' as an economic concept; Claims all investment seeks expected recovery with interest; Uses hypothetical examples of pay and work productivity

Date
Unknown
Source
House Oversight
Reference
kaggle-ho-011044
Pages
1
Persons
1
Integrity
No Hash Available

Summary

Abstract Economic Theory on Human Depreciation and Pay Recovery The passage contains no concrete allegations, names, transactions, dates, or actionable leads involving any public officials, agencies, or financial flows. It is a theoretical discussion of economic concepts without relevance to investigative journalism. Key insights: Discusses 'human depreciation' as an economic concept; Claims all investment seeks expected recovery with interest; Uses hypothetical examples of pay and work productivity

Persons Referenced (1)

Tags

kagglehouse-oversighteconomicstheoryhuman-capital

Ask AI About This Document

0Share
PostReddit
Review This Document

Extracted Text (OCR)

EFTA Disclosure
Text extracted via OCR from the original document. May contain errors from the scanning process.
The pay rule argues that prior claims are zero and that all human depreciation is expected to be recovered in pay and work products as a norm. Chapter 2 offered two logical proofs of the second point. The alternative to recovery is deadweight loss. Capital is discounted foreseen cash flow, and cash flow is realization in transfer or taste satisfaction. Deadweight loss, or unrealized depcatialization, is therefore implicitly unforeseen. Human depreciation, like plant depreciation, is foreseen from the start. Aging and mortality come as no surprise. It is therefore foreseen as realized in pay. The second proof, stated in part by Becker, follows from the maximand rule. All behavior is maximization of perceived risk-adjusted return to the individual’s total capital. This follows from definitions, not from axioms. There are no exceptions because there are no square circles. The rule says that no one invests in anything without expected recovery with interest. Recovery means recovery of depreciation. We do invest in human capital, of ourselves and our children, and consequently expect recovery of human depreciation by ourselves or them. It’s that simple. Other proofs looked to evidence and experience. | offered the parable of the boss and her secretary, which had been decisive in converting me from Quesnay’s view. Let’s go through it once more. Assume that investment in each has ended before the last year for each. First take the possibility that neither maintenance consumption (the supposed prior claims) nor human depreciation is recovered in pay. Then work and cash flow for each have simplified to realized work and pay. Human capital of each is remaining pay less the time discount. At the beginning of the last year, it is something less than one year’s pay. If pay measured work, return to each (work/human capital) would be something over 100% per year. It would rise to 100% per day at the beginning of the last day, and 100% per second at the beginning of the last second. At the end of the last second it reaches infinity. Yet the portfolio assets of each reveal their rates of time-preference (return) as only a few percentage points per year. Chapter 6: Parallels with the Firm 2/4/16 10

Related Documents (6)

House OversightFeb 26, 2019

Cowen CBD Market Outlook Report – No Evident Investigative Leads

Cowen CBD Market Outlook Report – No Evident Investigative Leads The document is a commercial research note on CBD market size and analyst ratings, containing no references to political figures, financial misconduct, or intelligence activities. It offers no actionable investigative leads. Key insights: Provides market size estimate for U.S. CBD ($16 bn by 2025).; Cites a proprietary survey showing 7% adult usage.; Mentions analyst ratings for WEED, TLRY, TPB.

1p
House OversightUnknown

Supreme Court Slip Opinion on International Finance Corp. Immunity

Supreme Court Slip Opinion on International Finance Corp. Immunity The passage discusses legal doctrine on international organization immunity without mentioning any wrongdoing, financial misconduct, or high‑profile individuals. It offers no actionable leads, novel allegations, or controversial connections to powerful actors. Key insights: Clarifies that the International Organizations Immunities Act grants IOs the same immunity as foreign governments under FSIA.; Notes the case involves IFC's loan to an Indian coal plant and plaintiffs' environmental claims.; Affirms lower court's dismissal based on immunity doctrine.

1p
House OversightJul 1, 2018

Satirical claims linking CIA, Tavistock, LaRouche, and Trump in a convoluted conspiracy narrative

Satirical claims linking CIA, Tavistock, LaRouche, and Trump in a convoluted conspiracy narrative The passage is a mixture of satire, unverified anecdotes, and speculative conspiracy assertions without concrete names, dates, transactions, or verifiable evidence. It mentions high‑profile figures (CIA, Lyndon LaRouche, Donald Trump, Queen Elizabeth) but provides no actionable leads, specific financial flows, or documented wrongdoing, limiting its investigative usefulness. Key insights: Alleged CIA brain‑washing program in Stockholm involving electric shocks and cyanide pills.; Claims that the Tavistock Institute recruited Paul Krassner for propaganda purposes.; Reference to a 1981 alleged Playboy‑linked assassination plot against Reagan and Bush, cited by a dubious 'New Solidarity International Press Service'.

1p
House OversightFBI ReportNov 11, 2025

Jeffrey Epstein Child Sex Trafficking Investigation – FBI Records, Deleted Pages, Non‑Prosecution Deal, High‑Profile Connections

The compiled documents reveal a dense web of FBI case files, internal forms, and communications that reference Jeffrey Epstein’s illegal sexual activities with minors, a secret non‑prosecution agreeme FBI case number 31E‑MM‑108062 repeatedly references ‘Child Locate’ entries and deleted pages (b6, b7 Multiple internal FD‑515 forms list Jeffrey Epstein as a subject (named explicitly on 09/30/2008 e

181p
House OversightUnknown

Historical essay on scientific objectivity and expert judgment

Historical essay on scientific objectivity and expert judgment The text is a scholarly discussion of scientific representation practices with no mention of specific individuals, institutions, financial flows, or alleged misconduct. It provides no actionable leads for investigation. Key insights: Describes shift from idealized illustration to hands‑off scientific imaging in the 19th century.; Notes resurgence of expert judgment in the 1930s–1940s for complex data interpretation.; No references to political figures, agencies, or controversial actions.

1p
House OversightUnknown

Deep Thinking – collection of essays by AI thought leaders

Deep Thinking – collection of essays by AI thought leaders The document is a largely philosophical and historical overview of AI research, its thinkers, and societal implications. It contains no concrete allegations, financial transactions, or novel claims that point to actionable investigative leads involving influential actors. The content is primarily a synthesis of known public positions and historical anecdotes, offering limited new information for investigative follow‑up. Key insights: Highlights concerns about AI risk and alignment voiced by prominent researchers (e.g., Stuart Russell, Max Tegmark, Jaan Tallinn).; Notes the growing corporate influence on AI development (e.g., references to Google, Microsoft, Amazon, DeepMind).; Mentions historical episodes where AI research intersected with military funding and government secrecy.

1p

Forum Discussions

This document was digitized, indexed, and cross-referenced with 1,500+ persons in the Epstein files. 100% free, ad-free, and independent.

Support This ProjectSupported by 1,550+ people worldwide
Annotations powered by Hypothesis. Select any text on this page to annotate or highlight it.