Blockchain
Artprice: Events Marking Gustave Courbet’s Bicentennial Could Stimulate His Market
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Gustave Courbet was born on 10 June 1819 in Ornans, a small town in Franche-Comté that has been home to the Courbet Museum since 2013. This Monday, to mark the bicentennial of the birth of this major artist (more in terms of Art History than on today’s market…) the museum is opening an exhibition entitled “Yan Pei-Ming face à Courbet” that shows works by the painter of the Origin of the World alongside works by Chinese painter Yan Pei-Ming, who has been living in Dijon since 1980.
Some of Courbet’s self-portraits (The Desperate Man, The Wounded Man) and genre scenes (Burial at Ornans, Bonjour Monsieur Courbet [The Meeting]) are among the most famous paintings in art history. But Courbet’s œuvre also consists, above all, of a large number of landscapes and hunting scenes. Throughout his life, Courbet continued to paint what he really wanted to paint, true to his origins and to a fundamental attraction to woodland scenes, craggy cliffs and seascapes. It’s these works that make up the bulk of his auction market nowadays.
According to thierry Ehrmann, founder/CEO of Artprice: “Sometimes dark, sometimes radiant, there is something quintessentially contemporary about Courbet’s painting. In 2014, the Fondation Beyeler exhibited his works alongside works by market superstar Peter Doig who claims to have been heavily influenced by Courbet. We also know that Jeff Koons counts among his greatest admirers and also collects his paintings.”
Gustave Courbet’s work has been popular outside France for a very long time. His thirteen best auction results were all hammered in England and the United States and his current auction record – $15.3 million for Reclining Nude (1862) – was set by Christie’s New York in 2015. An exceptional amount for an exceptional painting. Confiscated in 1943 by the Nazi regime, it was returned to the heirs of Baron Ferenc Hatvany 62 years later. It was subsequently shown in the major Gustave Courbet retrospective presented at the Grand Palais in Paris, then the New York MET in 2007/2008.
However, that result was, and has remained, quite exceptional because Courbet’s larger works are extremely rare at auction: less than 2% of his auction lots reach the million-dollar threshold. The core of his market consists of works fetching between $10,000 and $200,000, mostly small oils-on-canvas, landscapes measuring less than a square metre. Courbet’s œuvre is almost entirely painted; only 20 drawings and 9 engravings have been auctioned since 2000, versus 352 paintings.
Like most 19th century artists, Gustave Courbet’s market is relatively immune to Art Market euphoria. But that hasn’t always been the case. His prices have stabilized over the last 30 years after enjoying extremely rapid growth in the 1980s. The successive sales of his painting Lisière de forêt (Forest Edge) (1865) – sold seven times at auction since its creation – perfectly illustrate the evolution of his market:
- 20 April 1874 – FFr2,400 – Paris
- 18 June 1917 – Dfl4,500 – F. Mueller, Amsterdam
- 3 April 1974 – £9,500 – Sotheby’s London
- 28 November 1988 – £110,000 – Christie’s London
- 31 October 2000 – $82,750 – Sotheby’s New York
- 24 October 2006 – $162,000 – Sotheby’s New York
- 8 November 2013 – $118,750 – Sotheby’s New York
The sales history of this work illustrates three major characteristics of Gustave Courbet’s market:
- An exponential increase in prices before 1990, followed by a period of relative and volatile contraction
- A geographical shift of his market from Europe to the United States
- A progressive acceleration of exchanges with 43, 57, 12, 12, 6 and 7 years between each sale
The most intense period of price growth corresponds to the Impressionist bubble of the 1980s, which economists have linked to the strong growth in the purchasing power of Japanese buyers who focused their acquisitions on European works from the second half of the 19th century and the beginning of the 20th century. It was at this time (29 October 1987) that Japanese collector Michimasa Murauchi acquired Le Chêne de Flagey (The Oak at Flagey) (1864) for $462,000at Sotheby’s in New York. Five years ago, the Courbet Museum in Ornans managed to acquire the work, but it had to pay $5.5 million, i.e. 10 times more than its 1987 price.
The Oak at Flagey is a much larger canvas than Forest Edge (1865), but the difference in price between the two works in the late 1980s ($462,000 for the former, $198,000 for the latter) was much smaller than it later became in 2013 ($5.5 million versus $118,750). Congratulations to Murauchi for making such a superb acquisition in 1987. The following year the price of Forest Edge($192,000) was probably already inflated by the impressionist bubble. Over the past 30 years, the price of this painting has fluctuated, while that of the The Oak at Flagey, on the contrary, has soared.
SOURCE Artprice.com
Blockchain
Taraxa Report Reveals 20X Overestimation In Blockchain Throughput
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As the Layer-1 ecosystem is increasingly flooded with inflated performance claims, new research from Steven Pu, Co-Founder of Taraxa, delivers a reality check. Using data from Chainspect, the study evaluates the cost-efficiency of 22 blockchains by analyzing the real-world cost of running a validator node against actual mainnet throughput.
Blockchain performance reports often rely on idealized scenarios with private testnets, specialized hardware, and unrealistic assumptions that inflate transactions-per-second (TPS) numbers. This results in performance claims that look impressive on paper but do not hold up in practice.
Pu’s research introduces a more pragmatic approach—measuring transactions per second achieved on mainnet per dollar spent on a validator node (TPS/$). This simple yet powerful metric directly addresses the distortion in performance figures by shifting the focus from theoretical throughput to cost-adjusted efficiency. By assessing how much real transaction processing power a network provides per dollar spent, this study offers a fair and verifiable way to compare blockchains on a level playing field.
Figures are produced by dividing the observed mainnet throughput by the monthly cost of a single validator node. The goal is to ensure that blockchain developers, investors, and users have access to data that truly reflects network sustainability and scalability.
This research is more than just a comparison—it’s a call to action. For too long, blockchain projects have relied on inflated performance metrics that fail under real-world conditions. By shifting the focus to cost-efficiency and observed mainnet performance, Pu’s study sets a new standard for evaluating blockchain scalability.
Tellingly, the results expose a striking gap between theoretical performance figures and real-world results. Figures show that theoretical throughput is overstated by a staggering average of 20 times when compared to actual mainnet observations. This means that TPS figures, often cited in whitepapers and marketing materials, vastly exceed what is achievable under real-world conditions.
Such a significant discrepancy suggests that developers, investors, and users may base their decisions on numbers that do not hold up outside of a controlled test environment. This calls for a reform in how blockchain performance is reported and evaluated.
“Investors, developers, and users deserve transparency,” explains Pu. “The blockchain industry has long been obsessed with theoretical performance figures, but numbers generated in a lab mean little if they can’t be replicated in real-world conditions.”
“Our research also shows that many networks require expensive hardware just to achieve modest transaction rates, which is neither technically impressive nor decentralized. By focusing on verifiable data from live networks, we can shift the conversation toward meaningful performance metrics that actually impact usability, cost-efficiency, and decentralized adoption.”
Findings also show that only four out of the 22 blockchains achieve a double-digit TPS/cost ratio. This low percentage highlights that most networks require high expenditures to reach modest transaction rates. Many networks fall short when the real cost of running a node is considered. Users and developers face a challenging landscape where performance is not always backed by cost efficiency.
Rather than dismissing other chains, Taraxa calls for more transparent, verifiable and balanced metrics for comparing blockchains. The research is more than just a comparison—it’s a call to action. For too long, blockchain projects have relied on inflated performance metrics that fail under real-world conditions. By shifting the focus to cost-efficiency and observed mainnet performance, Pu’s study sets a new standard for evaluating blockchain scalability.
Overall, the research challenges common industry practices that rely on overly optimistic theoretical metrics. The market often relies on figures generated under ideal conditions that rarely match everyday use.
By basing this study on data from live networks, the Taraxa team provides a more grounded look at blockchain performance. The focus on cost efficiency and real-world conditions helps set a new standard for performance reporting.
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