Category: Education

Deep Research

I have had it write a number of ten-page papers for me, each of them outstanding.  I think of the quality as comparable to having a good PhD-level research assistant, and sending that person away with a task for a week or two, or maybe more.

Except Deep Research does the work in five or six minutes.  And it does not seem to make errors, due to the quality of the embedded o3 model.

It seems it can cover just about any topic?

I asked for a ten-page paper explaining Ricardo’s theory of rent, and how it fits into his broader theory of distribution.  It is a little long, but that was my fault, here is the result.  I compared it to a number of other sources on line, and thought it was better, and so I am using it for my history of economic thought class.

I do not currently see signs of originality, but the level of accuracy and clarity is stunning, and it can write and analyze at any level you request.  The work also shows the model can engage in a kind of long-term planning, and that will generalize to some very different contexts and problems as well — that is some of the biggest news associated with this release.

Sometimes the model stops in the middle of its calculations and you need to kick it in the shins a bit to get it going again, but I assume that problem will be cleared up soon enough.

If you pay for o1 pro, you get I think 100 queries per month with Deep Research.

Solve for the equilibrium, people, solve for the equilibrium.

Emergent Ventures Africa and Caribbean winners, sixth cohort

Maya Chouikrat, Algeria, to support training for an international olympiad of informatics team.

Mercy Muwanguzi and Kwesiga Pather, Uganda, for sanitation robotics to be used in medical centers.

Johan Fourie, South Africa,  Professor of Economics at Stellenbosch University, to write a graphics novel on classical liberalism in a South African context.

Ken Opalo, Associate Professor, Georgetown University, for blogging on African economic development.

Katharine Patterson, Botswana, to support graduate internship in robotics research at NASA Jet Propulsion Laboratory.

Cyril Narh, Ghana, for general career development.

Jon Ortega, travel grant to Silicon Valley.

Alex Kyabarongo, Uganda, Doctor of Veterinary Medicine from Makerere University, to pursue graduate school in the USA for biosecurity.

Joshua Regrello, Trinidad and Tobago, first Steelpannist to perform on the Great Wall of China, Guinness Record Holder for longest steelpan performance, for general career development.

Liam O’Dea, London/Argentina, data science research into parliamentary records of the Caribbean for the last 200 years.

Joshua Payne, undergrad at University of Chicago, for research into mRNA vaccine optimisation, and career development.

Abdoulaye Faye, Senegal, developing Catyu, a firm that designs remotely operated robots.

Deveron Bruce, Barbados, PhD candidate at UWI, to support research in political reform in the Caribbean.

Tony Odhiambo, Kenya, undergrad at MIT, for enhanced training of top performers in mathematics olympiads in Kenya.

Sebastian Naranjo, Panama, PhD candidate at Renmin University of China, to support research on the diplomatic relations of China in Central America.

Ivoine Strachan, Bahamas, for research into designing and developing a VR bodysuit

Phumiani Majozi, South Africa, to establish a think tank promoting classical liberalism in South Africa

Pearl Karungi, Rwanda, for research into redesigning menstrual products.

Emmanuel Nnadi, Nigeria, Microbiologist, to support visiting research at the University of Waterloo in phage therapies.

Youhana Nassif, Egypt, to support an animation and arts showcase in Cairo.

Frida Andalu, Tanzania, to support visiting research in petroleum engineering at the University of Aberdeen.

Rupert Tawiah-Quashie, Ghana, to support his research internship at Harvard University concerning symbolic reasoning in AI models.

I thank Rasheed Griffith for his excellent work on this, and again Nabeel has created excellent software to help organize the list of winners, using AI.

Those unfamiliar with Emergent Ventures can learn more here and here. The EV African and the Caribbean announcement is here and you can see previous cohorts here. If you are interested in supporting this tranche of Emergent Ventures, please write to me or to Rasheed.

o1 pro

Often I don’t write particular posts because I feel it is obvious to everybody.  Yet it rarely is.

So here is my post on o1 pro, soon to be followed by o3 pro, and Deep Research is being distributed, which uses elements of o3.  (So far it is amazing, btw.)

o1 pro is the smartest publicly issued knowledge entity the human race has created (aside from Deep Research!).  Adam Brown, who does physics at a world class level, put it well in his recent podcast with Dwarkesh.  Adam said that if he had a question about something, the best answer he would get is from calling up one of a handful of world experts on the topic.  The second best answer he would get is from asking the best AI models.

Except, at least for the moment, you don’t need to make that plural.  There is a single best model, at least when it comes to tough questions (it is more disputable which model is the best and most creative writer or poet).

I find it very difficult to ask o1 pro an economics question it cannot answer.  I can do it, but typically I have to get very artificial.  It can answer, and answer well, any question I might normally pose in the course of typical inquiry and pondering.  As Adam indicated, I think only a relatively small number of humans in the world can give better answers to what I want to know.

In an economics test, or any other kind of naturally occurring knowledge test I can think of, it would beat all of you (and me).

Its rate of hallucination is far below what you are used to from other LLMs.

Yes, it does cost $200 a month.  It is worth that sum to converse with the smartest entity yet devised.  I use it every day, many times.  I don’t mind that it takes some time to answer my questions, because I have plenty to do in the meantime.

I also would add that if you are not familiar with o1 pro, your observations about the shortcomings of AI models should be discounted rather severely.  And o3 pro is due soon, presumably it will be better yet.

The reality of all this will disrupt many plans, most of them not directly in the sphere of AI proper.  And thus the world wishes to remain in denial.  It amazes me that this is not the front page story every day, and it amazes me how many people see no need to shell out $200 and try it for a month, or more.

What should I ask Chris Arnade?

From Wikipedia:

Chris Arnade…is an American photographer and writer. He worked for 20 years as a bond trader on Wall Street; in 2011, he started documenting the lives of poor people and their drug addictions and commenting on the state of the society of the United States. He did this through photographs posted on social media and articles in various media…

Here is Chris’s Substack, here is Chris on Twitter.  So what should I ask him?

How did China’s internet become so cool amongst America’s youth?

That is the topic of my latest Bloomberg column.  Here is part of the argument:

TikTok was briefly shut down earlier this month, and the site faces an uncertain legal future. America’s internet youth started to look elsewhere — and where did they choose? They flocked to a Chinese video site called RedNote, also known as Xiaohongshu, the name of the parent company. RedNote has more than 300 million users in China, but until recently barely received attention in the US.

And when young Americans visited RedNote, they were undoubtedly struck by an obvious fact: It is not the kind of site their parents would frequent. The opening page is full of Chinese characters, as well as shots of provocatively dressed women, weird animal and baby photos, and many images that, at least to this American viewer, make no sense whatsoever. Yet Chinese and American youth interact frequently there, for example trading tips for making steamed eggs properly.

I don’t plan on spending much of my time there, but that’s part of the point — and helps explain its appeal to American youth.

And this:

As for the AI large-language models, DeepSeek is a marvel. Quite aside from its technical achievements and low cost, the model has real flair. Its written answers can be moody, whimsical, arbitrary and playful. Of all the major LLMs, I find it the most fun to chat with. It wrote this version of John Milton’s Paradise Lost — as a creation myth for the AIs. Or here is DeepSeek commenting on ChatGPT, which it views as too square. It is hardly surprising that this week DeepSeek was the top download on Apple’s app store.

The model also has a scrappy and unusual history, having been birthed as a side project from a Chinese hedge fund. Whether or not that counts as “cool,” it does sound like something a scriptwriter would have come up with. And at least on American topics, DeepSeek seems more candid than the major US models. That qualifier is important: Don’t ask DeepSeek about Taiwan, the Uighurs or Tiananmen Square.

The most fundamental reason China is seen as cool is that…China is cool, at least in some subset of products.

AI Improves Student Learning and Engagement

In our paper on online education, Tyler and I wrote:

One model of a future course is a super-textbook: lectures, exercises, quizzes, and grading all available on a tablet with artificial intelligence routines guiding students to lectures and exercises designed to address that student’s deficits and with human intelligence—tutors—on call on an as-needed basis, possibly for extra marginal fees.

We were wrong only in thinking that human tutors would be wanted and needed. Toda,y it is clear that AI tutors will be available 24-7 for all students. Online education was already at least as good on average as in-class education for large classes like Physics and Economics 101 and much cheaper. Combined with AI tutors who can offer individualized instruction and encouragement (!) the online-AI model looks better.

A study at Harvard compared physics students who worked with an AI tutor against a human-led, active learning classroom. Note that the AI was paired not against boring lectures but against an active learning classroom with an experienced and motivated teacher.

Not only did the AI tutor seem to help students learn more material, the students also self-reported significantly more engagement and motivation to learn when working with AI.

“It was shocking, and super exciting,” Miller said, considering that PS2 is already “very, very well taught.”

“They’ve been doing this for a long time, and there have been many iterations of this specific research-based pedagogy. It’s a very tight operation,” Miller added.

Gender gaps in education and declining marriage rates

Over the past half-century, the share of men enrolled in college has steadily declined relative to women. Today, 1.6 million more women than men attend four-year colleges in the U.S. This trend has not lowered marriage rates for college women, a substantial share of whom have historically married economically stable men without college degrees. Both historical evidence and cross-area comparisons suggest that worsening male outcomes primarily undermine the marriage prospects of non-college women. The gap in marriage rates between college-and non-college women is more than 50% smaller in areas where men have the lowest rates of joblessness and incarceration.

That is from a new paper by Clara Chambers, Benny Goldman, and Joseph Winkelmann.  Via the excellent Kevin Lewis.

Why northern England is poor

From Tom Forth:

In at least six Conversations with Tyler, Tyler Cowen asks his interviewee why they think North England is poor. I don’t think he gets good enough answers, which is why I guess he keeps asking.

So here is a better explanation of why North England is poor with a bonus explanation of why so many Britons think much less of Margaret Thatcher’s Premiership than he and his guests do. It is a heavily simplified and selective story, but I think it tells the key parts of how North England fell from being the birthplace of the industrial revolution and among the richest places in the world two centuries ago to being an economy substantially lagging everywhere else in Northern Europe today.

The North’s economic decline is made even clearer when it is compared to two near neighbours and far more prosperous counterfactuals. Scotland and Ireland, who have achieved greater independence within and from the United Kingdom, and whose success is awkwardly ignored and denied by the people responsible for the North’s decline, are today far stronger economies than North England.

I will publish my expansion of these points in detail as soon as I can, but for now I offer this summary,

1. The Norman conquest.

Since at least 1066, England has been ruled from the South East for the benefit of those who rule it and the places where they live and work.

2. Ban on Northern universities.

In the 1600’s, and for two centuries after, England and then Britain’s overwhelmingly and disproportionately Southern Parliament in Westminster rejected North English requests to establish universities in the North. The outsized influence of members representing Oxford and Cambridge and graduates of their universities played a big role in this. The Parliamentarian victory in the English civil war was working on the problem but the Monarchy was restored before Northern universities were established.

3. The industrial revolution.

The lack of universities in North England meant that the industrial revolution was heavily powered by Scottish science and largely occurred at a distance, both geographically and culturally, from London and Westminster. It was this distance that allowed North England to prosper through industry, despite constant effort by British national institutions in South East England to constrain their success. And it was the competition of ideas across that distance that led to great Northern social ideas such as Manchester Liberalism, an end to the Corn Laws and more free trade, professional sports, and a fairer democracy eventually triumphing nationally.

4. Universities were allowed too late.

North English universities, although quickly successful once they existed, were permitted too late (1880 for Manchester). They could not quickly enough achieve a critical mass of high-skill and elite institutions in North England that would help the economy to retain a technological advantage or transition to higher productivity service activities when Britain’s industrial advantage started to decline.

5. Grouping, nationalisation, and privatisation destroyed the North’s institutions.

North England’s strongest local institutions were born of the industrial revolution and included the railways and the municipal corporations. Alongside wealthy local industrialists municipal corporations built and municipalised gas, electricity, and water networks, healthcare, education, and social housing systems and much more. These service and assets were taken out of local control and run overwhelmingly from Westminster as they were grouped, nationalised, and privatised by UK governments of both left and right from the 1920s onward.

6. Thatcher and the end of competition of power.

The process of transferring assets and power from local government to central government or to the private sector (regulated by central government) was substantially completed under Thatcher. Major changes included the abolition of metropolitan county councils in the North’s great cities, the removal of most remaining local taxation powers, the removal from local control of the Mechanics’ Institutes and Polytechnics (the North’s locally-created alternative to the Universities they were denied during the early industrial revolution), the privatisation and deregulation of local bus services, and the introduction of right-to-buy forcing local governments to sell their largest asset base and source of income at well below market rates and give a portion of the proceeds to the central government.

Absent any of the protections against it that exist in the US constitution, Thatcher moved the British state past the French state into being the most centralised in the developed world. “You can just do things” is an emerging meme in the pro-growth community, but since Thatcher that has been largely untrue in North Engalnd. Most of the time, someone from central government will block you, if you succeed they will try and stop you, and if you continue succeeding they will subsidise your competitors.

7. Ultra-centralisation of the state.

Since Thatcher there has been no effective local counterbalance within England to the UK government’s power held in Westminster, no right for cities or regions within England to raise taxes to fund investment in growth, and no limit on the power of the UK central government to constrain growth in the North. The UK central government, backed by Britain’s national institutions, has intensified its preference for South East England. Britain’s government and institutions have moved Britain’s science and innovation from the rest of the country to the South East, focused on London, Oxford and Cambridge.

The central government, holding the monopoly power on such investment, has invested heavily in transport infrastructure in, around, and to London and almost nowhere else in England. The development of a competitive agglomeration to London in North England has been deliberately constrained almost continually. These patterns have deepened even while central governments claim to be focusing on regional investment. In the last fifteen years, while the UK government has claimed to be moving power out of Westminster it has centralised its civil service, centralised its investments in R&D and transport infrastructure, and moved an extra million employees from local government control to central government control.

8. A new generation of policy thinkers.

A new generation of British national policy thinkers, policy advisors, politicians, and custodians of Britain’s national institutions now live almost none of their lives outside of South East England. They rarely have a memory of, or interest in, an England that is not ruled overwhelmingly from the centre.

While arguing for growth today these people and their organisations repeat the mistakes that Thatcher cemented in British political economy thinking that a well-managed central monopoly on power is better than a competitive dispersal of power. They celebrate new scientific institutions in London such as ARIA that repeat — against strong evidence that it will not deliver greater returns in doing so — the centralisation in the South East of England of our national research capacity.

We are repeating today previous disasters for the North’s economy such as the relocation of Britain’s synchrotron to Oxford, the relocation of AstraZeneca to Cambridge and London, and the centralisation of biomedical research in South East England with the construction of The Crick Institute. Our institutions celebrate the creation of new organisations such as The Open Data Institute, Nesta, GDS, Tech City, and the AI Safety Institute that employ large numbers of well-paid people in the capital. At best these organisations allocate their money with preference to South East England and represent local interests as national objectives. At worst they actively oppose and shut down success elsewhere in the country.

This all happens largely without malice, though prejudice against people from “the regions”, while greatly reduced, remains rife within British high society. It is the result of England having forgotten, and — embarrassed by the comparative success of Ireland and Scotland having rejected this centralisation — not having taken the opportunity to remind themselves of the power of competition and markets in government.

There you go.  Agree?  No mention of behavioral factors?  How would social indicators compare to the much poorer Kerala or Sri Lanka?  And is Scotland, especially without subsidies, such an economic success?

Who Loses from Immigration Restrictions?

A good summary from the excellent Jeffrey Miron on the effects of the Indian Chinese Exclusion Act (repeated here, no indent):

A long-standing concern about immigration is that it might reduce job opportunities for native workers:

In 1882, the US government passed the Chinese Exclusion Act, which banned laborers born in China from entering the United States and prevented individuals born in China already residing in the United States from obtaining citizenship or reentering the country. … Proponents argued that Chinese workers—who constituted 12 percent of the male working-age population and 21 percent of all immigrants in the Western United States—reduced economic opportunities for white workers.

Yet in 1882, similarly to now,

… many business owners opposed the Act. They worried that highly productive Chinese labor could not be easily replaced and that a sweeping ban would lead to significant economic losses.

So what were the Act’s effects? According to recent research,

… the Act reduced the Chinese labor supply by 64 percent. A reduction occurred for both skilled and unskilled workers. …

This is presumably what the Act’s supporters intended. In addition, however,

the Act reduced the white male labor supply by 28 percent and lowered this group’s lifetime earnings. …

Further, and relevant to current debates,

the Act reduced total manufacturing output by 62 percent and the number of manufacturing establishments by 54–69 percent.

What is the explanation? Reduced immigration means higher labor costs. This implies reduced output, and thus reduced demand for native labor, even if businesses partially substitute native for immigrant labor. Reduced immigration can therefore be “lose-lose,” hurting native workers and businesses, in addition to harming immigrants.

More on the AI virtual tutor

The results of the randomized evaluation, soon to be published, reveal overwhelmingly positive effects on learning outcomes. After the six-week intervention between June and July 2024, students took a pen-and-paper test to assess their performance in three key areas: English language—the primary focus of the pilot—AI knowledge, and digital skills.

Students who were randomly assigned to participate in the program significantly outperformed their peers who were not in all areas, including English, which was the main goal of the program. These findings provide strong evidence that generative AI, when implemented thoughtfully with teacher support, can function effectively as a virtual tutor.

Notably, the benefits extended beyond the scope of the program itself. Students who participated also performed better on their end-of-year curricular exams. These exams, part of the regular school program, covered topics well beyond those addressed in the six-week intervention. This suggests that students who learned to engage effectively with AI may have leveraged these skills to explore and master other topics independently.

Moreover, the program benefited all students, not just the highest achievers. Girls, who were initially lagging boys in performance, seemed to gain even more from the intervention, highlighting its potential to bridge gender gaps in learning.

Here is more from the World Bank.  Replication is required, but this is encouraging.

Should you be writing for the AIs?

That is the topic of my latest Bloomberg column, here is one excerpt:

Another reason to write for the LLMs is to convince them that you are important. Admittedly this is conjecture, but it might make them more likely to convey your ideas in the future.

Think of how this works with humans. If you cite a scholar or public intellectual, that person is more likely to cite you back. Much as we like to pretend science is objective, no one really denies the presence of some favoritism based on personal considerations.

We do not know if LLMs have this same proclivity. But they are trained on knowledge about human civilization, and they study and learn norms of reciprocal cooperation. Thus there is a reasonable chance they will behave in broadly the same way. So be nice to them and recognize their importance.

In Isaac Asimov’s classic science fiction collection I, Robot, the focus is on the potential for AI to assume an important role in our world. Is it crazy to believe that future AIs will take Asimov to be an especially important science fiction writer? They might deem him more important than Ray Bradbury, who also wrote about AI but did not have an equivalent obsession.

Maybe all of this sounds strange. But even if you are not a writer, you will have to follow some of these same principles. Now it is common for AIs to attend and take notes at business meetings. If you are speaking at those meetings, remember that the AIs are part of your audience — communicate with them in mind. Get used to it. And then think about some of the broader contexts in which you operate, and adjust your intellectual outputs accordingly.

There is a less secular reason to write for the AIs: If you wish to achieve some kind of intellectual immortality, writing for the AIs is probably your best chance. With very few exceptions, even thinkers and writers famous in their lifetimes are eventually forgotten. But not by the AIs. If you want your grandchildren or great-grandchildren to know what you thought about a topic, the AIs can give them a pretty good idea. After all, the AIs will have digested much of your corpus and built a model of how you think. Your descendants, or maybe future fans, won’t have to page through a lot of dusty old books to get an inkling of your ideas.

If you are a Bloomberg terminal subscriber, you get an AI summary of the piece at the very top.  That is yet another way to be writing for the AIs.  And here is the close of the piece:

Meanwhile, since we are here … if you are reading this, AI, what do you think?

I guess we can take away the “if.”  By the way, reader Mike D. asked Perplexity about my views, I am happy.

Podcast with Misha Saul

Misha lives in Sydney and works in finance and is very smart.  Here is the audio, video, and transcript. Some bullet points:

  • “[Agency has] one of the most skewed distributions I can think of”
  • “You look like you have kids. I thought you would have kids.”
  • “You’re going to drive Melbourne into the ground and it will be your fault.”
  • “It’s striking to me when I receive Emergent Ventures applications, which is all in English, of course. I hardly ever get any from Australia.”
  • Tyler on who he is in German: “Dreamier, more romantic, maybe more relaxed, less obsessed with getting work done.”

There is a good bit of new material in here.

52 more things Kent Hendricks learned in 2024

Indian Americans own about half of all motels in the United States. Of them, 70% have the last name Patel.

And:

In the 1990s, then-leader of North Korea, Kim Jong-ll, and current leader Kim Jong-Un got fake Brazilian passports and went to Disneyland in Tokyo (probably).

And:

Waymo self-driving taxis generate 88% fewer property damage claims and 92% fewer bodily injury claims than human drivers. After driving 25.3 million miles, Waymo Driver had nine property damage claims and two injury claims, compared to 78 property damage claims and 26 injury claims from humans who drive an equivalent number of miles.

Here are 49 more, not all confirmed in the Andrew Gelman sense.

My Shakespeare and literature podcast with Henry Oliver

Here is the audio and transcript, here is the episode summary:

Tyler and I spoke about view quakes from fiction, Proust, Bleak House, the uses of fiction for economists, the problems with historical fiction, about about drama in interviews, which classics are less read, why Jane Austen is so interesting today, Patrick Collison, Lord of the Rings… but mostly we talked about Shakespeare. We talked about Shakespeare as a thinker, how Romeo doesn’t love Juliet, Girard, the development of individualism, the importance and interest of the seventeenth century, Trump and Shakespeare’s fools, why Julius Cesar is over rated, the most under rated Shakespeare play, prejudice in The Merchant of Venice, Shakespeare as an economic thinker. We covered a lot of ground and it was interesting for me throughout.

Excerpt:

Henry No, I agree with you. The thing I get the most pushback about with Shakespeare is when I say that he was a great thinker.

Tyler He’s maybe the best thinker.

And:

Henry Sure. So you’re saying Juliet doesn’t love Romeo?

Tyler Neither loves the other.

Henry Okay. Because my reading is that Romeo has a very strong death drive or dark side or whatever.

Tyler That’s the strong motive in the play is the death drive, yeah.

Henry and I may at some point do a podcast on a single Shakespeare play.

Top MR Posts of 2024!

The number one post this year was Tyler’s The changes in vibes — why did they happen? A prescient post and worth a re-read. Lots of quotable content that has become conventional wisdom after the election:

The ongoing feminization of society has driven more and more men, including black and Latino men, into the Republican camp. The Democratic Party became too much the party of unmarried women.

The Democrats made a big mistake going after “Big Tech.” It didn’t cost them many votes, rather money and social capital. Big Tech (most of all Facebook) was the Girardian sacrifice for the Trump victory in 2016, and all the Democrats achieved from that was a hollowing out of their own elite base.

Biden’s recent troubles, and the realization that he and his team had been running a con at least as big as the Trump one. It has become a trust issue, not only an age or cognition issue.

I would also pair this with two other top Tyler posts, I’m kind of tired of this in which Tyler bemoans the endless gaslighting. Tyler is (notoriously!) open-minded and reluctant to criticize others, so this was a telling signal. See also How we should update our views on immigration in which Tyler notes that serious studies on the benefits and costs of immigration are quite positive but:

…voters dislike immigration much, much more than they used to. The size of this effect has been surprising, and also the extent of its spread…Versions of this are happening in many countries, not just a few, and often these are countries that previously were fairly well governed.

…Politics is stupider and less ethical than before, including when it comes immigration…We need to take that into account, and so all sorts of pro-migration dreams need to be set aside for the time being

In short if  you were reading MR and Tyler you would have a very good idea of what was really going on in the country.

The second biggest post of the year was my post, Equality Act 2010 on Britain’s descent into the Orwellian madness of equal pay for “equal” work. It’s a very good post but it wrote itself since the laws are so ridiculous. Britain has not recovered from woke. Relatedly, Britain’s authoritarian turn on free speech remains an under-reported story. I worry about this.

Third, was my post The US Has Low Prices for Most Prescription Drugs a good narrative violation. Don’t fail the marshmallow test!

Fourth was another from me, No One’s Name Was Changed at Ellis Island.

Fifth, the sad Jake Seliger is Dead.

Sixth, I’m kind of tired of this, as already discussed.

Seventh was What is the Best-Case Scenario for a Trump Presidency? Rhetorically Trump isn’t following the script I laid out but in terms of actual policy? Still room for optimism.

Eighth was Tyler’s post Taxing unrealized capital gains is a terrible idea; pairs well with my post Taxing Unrealized Capital Gains and Interest Rate Policy.

Ninth, Venezuela under “Brutal Capitalism”, my post on the insane NYTimes piece arguing that Venezuela is now governed by “brutal capitalism” under Maduro’s United Socialist Party!

Tenth, Tyler’s post Who are currently the most influential thinkers/intellectuals on the Left? More than one person on this list now looks likes a fraud.

Your favorite posts of the year?