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December 25th, 2023 (Permalink)
The Christmas Party
Every year, the Blancs throw a Christmas party for their extended family. This year, the guests threw their hats and heavy winter coats into a pile on the bed in the guest bedroom of the Blancs' house. One of the five guests, uncle Al, who had to hurriedly leave the party early, grabbed a hat and coat that did not belong to him from the heap. What's more, the two outer garments that Al went off with belonged to two different relatives. As a result, when the other guests began to leave later, there was so much confusion that none of them got their own hat and coat. In fact, each left with someone else's hat and a coat belonging to a different person.
The day after Christmas, Mrs. Blanc tried to clear up the confusion so that each guest could retrieve both missing garments as well as return the incorrect ones to their actual owners. Here are the facts that Mrs. Blanc was able to discover:
- Aunt Debby took the coat of the guest whose hat was taken by cousin Eric.
- The relative who took cousin Carl's hat also took aunt Debby's coat.
- Cousin Betty didn't take aunt Debby's coat, and Debby didn't take cousin Eric's hat.
- Aunt Debby took the hat that belonged to the owner of the coat that cousin Carl took.
- Cousin Eric took uncle Al's hat.
From the above clues, can you help Mrs. Blanc determine whose hat and coat was taken by each guest?
Use a table to keep track of clues and what you deduce from them.
Explanation: To solve this type of puzzle, it helps to use some type of table to keep track of clues and deduced information. Here's a type of table that I've found useful*:
Guest: | One | Two | Three | Four | Five |
Hat: | |||||
Coat: |
Clue 5 tells us that Eric took Al's hat, so let's add that information to the table:
Guest: | Eric | Two | Three | Four | Five |
Hat: | Al | ||||
Coat: |
According to Clue 1, Debby took the coat of the person whose hat Eric took, and that person is Al, by Clue 5, so Debby took Al's coat. We add that to the table:
Guest: | Eric | Debby | Three | Four | Five |
Hat: | Al | ||||
Coat: | Al |
By Clue 2, we know that whoever took Carl's hat also took Debby's coat, but we don't yet know who that person is. Let's add that information to the table and you'll see why we started off using numbers for the guests rather than names.
Guest: | Eric | Debby | Three | Four | Five |
Hat: | Al | Carl | |||
Coat: | Al | Debby |
Now, we can deduce some information: We know that Guest Three is not Carl or Debby, and it's not Eric, who took Al's hat, therefore it's either Al or Betty. However, Clue 3 tells us that Betty did not take Debby's coat, so Al must have done it. Add that to the table:
Guest: | Eric | Debby | Al | Four | Five |
Hat: | Al | Carl | |||
Coat: | Al | Debby |
Clue 3 also tells us that Debby didn't take Eric's hat, and we know from the table that she didn't take Al's or Carl's, so she must have taken Betty's. Add that:
Guest: | Eric | Debby | Al | Four | Five |
Hat: | Al | Betty | Carl | ||
Coat: | Al | Debby |
By Clue 4, Carl took the coat of the person whose hat Debby took, and we now know that that is Betty, so add that to the table:
Guest: | Eric | Debby | Al | Carl | Five |
Hat: | Al | Betty | Carl | ||
Coat: | Al | Debby | Betty |
Betty must be Guest Five, so add that:
Guest: | Eric | Debby | Al | Carl | Betty |
Hat: | Al | Betty | Carl | ||
Coat: | Al | Debby | Betty |
At this point, we can fill in the remaining information by deduction. Eric did not take his own coat, Al's, Debby's, or Betty's, which leaves Carl's. This means that Betty must have taken Eric's coat. Fill that in:
Guest: | Eric | Debby | Al | Carl | Betty |
Hat: | Al | Betty | Carl | ||
Coat: | Carl | Al | Debby | Betty | Eric |
Finally, Betty did not take her own hat, Al's, Carl's, or Eric's so she took Debby's. This leaves Eric's hat for Carl, and we're finished:
Guest: | Eric | Debby | Al | Carl | Betty |
Hat: | Al | Betty | Carl | Eric | Debby |
Coat: | Carl | Al | Debby | Betty | Eric |
* I learned about this type of table from: Morgan D. Jones, The Thinker's Toolkit: 14 Powerful Techniques for Problem Solving (Revised & updated: 1995), pp. 119-122. The above puzzle is a more difficult variation on the one that Jones shows how to solve with this type of table.
December 21st, 2023 (Permalink)
A Bad Headline for a Bad Survey
Here's a recent headline from a news story reporting a survey:
Majority of Americans 18-24 think Israel should ‘be ended and given to Hamas’1
You may notice, if you read the article beneath the headline, that there's no reference to a margin of error (MoE), which is unusual since most major American newspapers will report the MoE of a poll even when the reporter has no clue what it means. All the article says about the poll's methodology is: "The Harvard-Harris poll was conducted between Dec 13-14 among 2,034 registered voters." This is not an oversight on the The New York Post's part, since the report put out by the pollster, Harvard-Harris, also provides no MoE. Here's all that the pollster itself says about its methodology:
This survey was conducted online within the United States from December 13-14 among 2,034 registered voters by The Harris Poll and HarrisX. Results were weighted for age within gender, region, race/ethnicity, marital status, household size, income, employment, education, political party, and political ideology where necessary to align them with their actual proportions in the population. Propensity score weighting was also used to adjust for respondents' propensity to be online.2
So, this appears to have been an online poll that didn't use a random probability sample, which is why there is no MoE. The report doesn't tell us exactly how the sample was taken, but it might be a panel recruited from internet users.
The problem with such samples is that the recruits may not be representative of the population, which is why the pollsters weight the samples to match population characteristics. However, there's no guarantee that weighting can make up for every bias in the sample. For instance, the "propensity score weighting" mentioned appears to be an attempt to make up for the fact that people who spend a lot of time online are more likely to be in the sample than those who don't, and those two groups may differ in other ways. However, only those who spend at least some time online will make it into the sample, and they may differ from those who spend no time online at all.
So, the methodology is a reason to be skeptical about these results but, as we saw in the previous entry3, they are similar to those of other surveys that did use probability sampling. However, there are additional reasons for caution.
If you read down in the article, the basis for the headline is in the following sentence: "The survey, conducted this week by Harvard-Harris polling, found 51% of Americans between the ages of 18 and 24 said they believed the long-term answer to the Israel-Palestinian conflict was for 'Israel to be ended and given to Hamas and the Palestinians.'" So, it's a "majority" by only one percentage point, with the remaining 49% supporting either a separate Palestinian state or other solution4.
Since the survey has no MoE, we can't say that this difference was within the margin, but that doesn't mean that the results are perfectly precise. If the entire sample of over two-thousand had been a probability sample, the MoE would have been slightly over two percentage points plus or minus5. So, even if it were a probability sample, 51% would be a "majority" only by over-precision6. Moreover, there are two reasons why the actual error bars for this result are much greater:
- Since it's not a probability sample, there may be a systematic bias that weighting does not correct. If, as suggested above, there is a difference between people who spend at least some time online and those who spend no time online, there's no way to weight the results to correct the difference. In particular, people who do not use the internet at all are likely to be older and poorer than those who do7, and we've seen that there is a large age difference in attitudes towards Israel.
- Given that the headline result is for the 18-24 age group, it is based on only a fraction of the two-thousand respondents for the entire survey. The results were partitioned into six age groups4, so that the size of the subsample would be about one-sixth of the entire sample, that is, a little over three-hundred respondents. The MoE for such a small probability sample would be over five percentage points either way.
For these reasons, the headline claim is not supported by this survey, and a more accurate headline would have been: "Half of Americans 18-24 think Israel should 'be ended and given to Hamas'", but there are still more reasons for skepticism.
In the same survey, respondents were asked: "Should Hamas be allowed to continue to run Gaza or does Hamas need to be removed from running Gaza?8" 58% of the same age group responded that Hamas needs to be removed from running Gaza, which is inconsistent9 with the claim that 51% think that all of Israel should be given to Hamas.
The responses include other such inconsistencies, for instance, when asked: "Do you think Israel has a right to exist as the homeland of the Jewish people…?10", 69% of 18-24 year olds answered that Israel has such a right. How is this consistent with half of the same group thinking that it should be "ended" with Hamas taking over? There are additional inconsistencies, but that's enough to show that something is seriously wrong with these results.
I'm not sure what went wrong with this survey, but given the inconsistent results, convenience sampling, and the limited explanation by the pollsters of their methodology, I'm filing it in the round file.
Notes:
- Jon Levine, "Majority of Americans 18-24 think Israel should ‘be ended and given to Hamas’", The New York Post, 12/16/2023.
- "Key Results-Harvard CAPS-Harris Poll: December 2023", Harvard CAPS-Harris Poll, p. 2.
- Does watching Republican debates make people 17% less likely to vote for Nikki Haley?, 12/15/2023.
- Harvard CAPS-Harris Poll, p. 69.
- All MoEs in this entry were calculated with the following calculator: "Margin of Error Calculator", Good Calculators, accessed: 12/20/2023.
- See: Overprecision, 8/27/2022.
- Andrew Perrin & Sara Atske, "7% of Americans don’t use the internet. Who are they?", Pew Research Center, 4/2/2021.
- Harvard CAPS-Harris Poll, p. 64.
- It's logically consistent that Hamas should be removed from running Gaza and given Israel, since these are separate territories, but its not psychologically consistent: if Hamas is not fit to run tiny Gaza, it's surely not fit to run a larger area.
- Harvard CAPS-Harris Poll, p. 57.
December 14th, 2023 (Revised: 12/15/2023) (Permalink)
Does watching Republican debates make people 17% less likely to vote for Nikki Haley?
As I discussed during the summer1, I haven't been paying attention to the party political debates, unlike in past years, but I did hear about one claim from a debate that deserves attention. During the most recent Republican debate, Nikki Haley, the former governor of South Carolina and current candidate for the party's nomination for president, said: "For every 30 minutes that someone watches TikTok, every day, they become 17% more anti-Semitic, more pro-Hamas based on doing that.2"
"More than what?" This is the question you should always ask yourself when confronted by a dangling comparative3. There are two such comparatives in her statement: "more anti-Semitic" and "more pro-Hamas", but more than what?
Haley appears to be saying that an individual who watches TikTok for thirty minutes becomes 17% more anti-semitic and also more pro-Hamas―also 17%?―than when he or she started watching a half-hour before. It might be said that some people are more anti-semitic than others―for instance, those who want all Jews to be killed as opposed to those simply wanting to keep them out of their country club―but how in the world could this be quantified to a percentage? Is a neo-Nazi who supports genocide 17% more anti-semitic than a Christian who thinks that all Jews should be forcibly converted to Christianity?
Even if there were some way to measure the degree of anti-semitism such that 17% more anti-semitic would make sense, is it plausible that only a half-hour's viewing would cause such a large change? I could more easily believe that watching TikTok for half an hour makes you 17% more stupid as measured by an IQ test.
Moreover, anti-semitism no doubt overlaps with being pro-Hamas, but they're not identical; for instance, a Christian anti-semite might well be appalled by Hamas' terrorism and strongly oppose the group. Given that these attitudes are not identical, it would be surprising if the supposed pro-Hamas effect of TikTok was also 17%. There's also the same measurement problem: How would you measure pro-Hamas beliefs? Is someone who supports Hamas terrorists raping Israeli women before killing them 17% more pro-Hamas than one who thinks that they should just kill them?
When Haley's campaign was asked about the source for her claim, it pointed to a news article in The New York Sun4, which reported as follows: "Spending a mere 30 minutes per day on TikTok led to an average 17 percent increase in a user’s 'antisemitic or anti-Israel views.'5" The newspaper was reporting an analysis of a survey that asked questions about Israel and Jews. The analysis compared people who use TikTok for at least thirty minutes a day to those who don't, so the results were at the group level, rather than the individual. I assume that the "30 minutes a day" distinction was a rather arbitrary attempt to divide people into those who were regular TikTok users, and those who either didn't use it at all or only did so casually. So, the results do not mean that an individual who uses TikTok for half-an-hour becomes 17% more anti-semitic, but that 17% more of the frequent TikTok users were judged to be anti-semitic than non-users or occasional users.
None of this means that TikTok use is causing an increase in anti-semitism or anti-Israel attitudes6. TikTok users tend to be younger than the general population7, and recent surveys indicate that younger Americans are more likely than older ones to subscribe to anti-semitic views8. For instance, 20% of those aged 18-29 agreed to some degree with the statement that the Holocaust is a myth, whereas the level of agreement among older respondents was in the single digits for each age group and 0% for those 65 and older9.
According to another survey, Americans aged 18-39 are ignorant about the Holocaust with, for instance, 22% thinking that it occurred during WWI and almost half unable to name any concentration camp or ghetto10. Some of this ignorance may be due to youth, but it's also evidence of the failure of our schools to teach history, especially about the Holocaust.
In addition, there have been complaints from users for years about anti-semitism on TikTok, which could repel both Jews and others who are not anti-semitic from using it11. So, the reported results may be due to a selection effect.
The survey, which was commissioned by a software entrepreneur, asked a large number of questions, the answers to some of which could be interpreted as anti-semitic or anti-Israel12. However, it was the entrepreneur himself who analyzed the results as showing a 17% difference between habitual TikTok users and casual or non-users. I'm not sure how this result was arrived at, but it's plausible for the reasons suggested above. However, it's only a correlation between TikTok usage and anti-semitic beliefs, and doesn't tell us what caused this difference.
This is not to say that TikTok itself is not the cause of at least some of this difference. Given their youth, inexperience, miseducation, and naiveté, TikTok's users may have little resistance to anti-semitic propaganda and conspiracy theories. So, it's not implausible that TikTok's content is contributing to anti-semitism and anti-Israel sentiment among the young.
I don't use TikTok myself, not because it causes anti-semitism, but because it's the crack cocaine of anti-social media: addictive and unhealthy for the mind.
Notes:
- See: To Debate Or Not to Debate, That is the Question, 6/30/2023.
- "RNC Fourth Presidential Primary Debate 12/06/23 Transcript", Rev, 12/6/2023.
- See: Dangling Comparative, 10/16/2023.
- Em Steck, "Fact Check: Nikki Haley makes a misleading claim about TikTok leading to antisemitism", CNN, 12/8/2023.
- Maggie Hroncich, "Spending 30 Minutes on TikTok a Day Significantly Increases the Chances of Holding Antisemitic and Anti-Israeli Beliefs, Study Finds", The New York Sun, 12/1/2023.
- David Ingram, "Nikki Haley went after TikTok, but she may have flubbed her statistics", NBC News, 12/7/2023.
- Raymond Zhong & Sheera Frenkel, "A Third of TikTok’s U.S. Users May Be 14 or Under, Raising Safety Questions", The New York Times, 12/8/2020.
- Jordan Muchnick & Elaine Kamarck, "The generation gap in opinions toward Israel", The Brookings Institution, 11/9/2023.
- "The Economist/YouGov Poll", p. 103, 12/2-5/2023. The number of respondents in the youngest age group was only 207, so the margin of error is almost seven percentage points plus or minus.
- "Executive Summary", p. 10, survey conducted: 2/26/2020-3/28/2020.
- For instance: Kalhan Rosenblatt, "Jewish teens say life on TikTok comes with anti-Semitism", NBC News, 9/25/2020.
- "Generation Lab", survey conducted: 11/21-28/2023.
December 9th, 2023 (Permalink)
How to Lie with Photographs
A visitor to New England from the big city, noticing a flock of sheep in a field, said to a Yankee farmer: "It must be shearing time. Those sheep have just been shorn.""Ayuh," replied the farmer, looking at the sheep, "on this side, at least."1
Late last month, the sports website Deadspin published an article about a young fan of the Kansas City Chiefs football team sporting an American Indian chief's feather headdress and with his face painted2, and much has been subsequently written about this incident and Deadspin's article3. It's not my intention to weigh in on the debate about whether it was appropriate for the boy to wear such a headdress to the game; instead, I want to address only the claim that he was wearing "Black face", as the publication calls it.
This is not a fact check, but the article's claim was false: the fan was not wearing black face. Instead, his face was painted half black and half red, the Chiefs' team colors. What attracted my attention to this controversy is the photograph of the fan at the top of the article. That profile photo shows only the right, black-painted side of the fan's face, whereas full face photos taken at the same game show both red and black halves of his face. I don't include any of the photos here, since they are likely copyrighted, and you can see them at the articles linked in the notes, below.
The article has since had an undated "Editor's Note" added at the top, its headline changed, and the offending photo deleted4. The original headline was:
The NFL needs to speak out against the Kansas City Chiefs fan in Black face, Native headdress
The current one reads:
The NFL Must Ban Native Headdress And Culturally Insensitive Face Paint in the Stands (UPDATED)
Some of the criticism of the original article focused on its accusation of racism against a nine-year old boy, and his parents subsequently threatened to sue5, so these changes were obviously intended to defuse the criticism and threat. The Editor's Note claims that the "black face" accusation was based on "the available photo", suggesting that the publication had access to only that one photograph. If so, then this saves the outlet from an accusation of intentionally choosing a misleading photo, but it doesn't save them from an accusation of carelessness.
It's hard to see how the author, editor, and photographic editor―for an online sports magazine, no less―could have failed to realize that the fan might have had his face painted with the team's colors. Not only sports fans, but even Seinfeld fans6, know about face painting. At the very least, someone should have checked to be sure that the unseen half of the boy's face was also painted black.
When you think of fake photography today, you probably think of Photoshop, or some other digital manipulation of a photograph in order to create a misleading image. Of course, in this case, there's no reason to think that the photo of the young Chiefs fan was manipulated in any such way, but there was no need to do so. The photo is not itself a false image, but one that tells only half of the story: it's the photographic equivalent of a half-truth.
Even before the advent of digital photography, it wasn't always necessary to use sophisticated means to create misleading photographs; instead, cruder techniques were used including double exposures7and airbrushing8. For instance, the infamous Cottingley fairy photos, produced by two young sisters, were just cutout figures propped up in the weeds9. Despite being produced by primitive means, the photos fooled such smart people as Arthur Conan Doyle.
So, keep in mind: "While photographs may not lie, liars may photograph.10"
Notes:
- A traditional joke: I don't remember when or where I heard it.
- Carron J. Phillips, "The NFL needs to speak out against the Kansas City Chiefs fan in Black face, Native headdress", Deadspin, 11/27/2023. This is the archived page from the Internet Archive's Wayback Machine showing how the page originally appeared.
- For instance: Nick Mordowanec, "NFL Fan's 'Blackface' at Game Sparks Fight", Newsweek, 11/28/2023.
- Carron J. Phillips, "The NFL Must Ban Native Headdress And Culturally Insensitive Face Paint in the Stands (UPDATED)", Deadspin, 11/27/2023.
- See: Andrew Rodriguez, "Parents Threaten Lawsuit After Deadspin Accuses 9-Year-Old Of ‘Blackface’", State of the Union, 12/6/2023.
- See: "'You Gotta Support The Team!' | The Face Painter", Seinfeld, accessed: 12/5/2023.
- See: Robert T. Carroll, "Psychic Photography (Spirit Photography)", The Skeptic's Dictionary, 10/27/2015.
- See: Amos Chapple, "Fake Views: The Good, The Bad, And The Ugly Of Soviet Photoshopping", Radio Free Europe/Radio Liberty, 7/13/2018.
- See: Fairy Tale, 2/6/2013 and Robert T. Carroll, "Fairy", The Skeptic's Dictionary, 10/24/2015.
- Paul Vallely, "Lies, damned lies and photography: how the camera can distort the truth", The Independent, 2/18/2004.
December 3rd, 2023 (Permalink)
Guesstimate It, Too
At the start of the year, I asked you to guesstimate how many American women are of childbearing age1, that is, I asked you to not just guess, but to use what you know to estimate a number that you don't know.
Here's a follow-up question: How many American women are currently pregnant?2
This is the kind of question that you might well think you'd have to research to get an answer that isn't just a wild guess. However, I'm asking only that you guesstimate it, which means that I'm not expecting a precise number. Rather, the goal is to use what you know to come up with an estimate that's in the ballpark.
You're probably not especially interested in the answer to this question―neither am I!―but the purpose of this exercise is to develop your guesstimation ability. Like any other skill, it improves with practice. Guesstimation is a very useful critical thinking tool, and it will help to tune your internal credibility detector so that you can detect incredible numerical claims.
To get the most out of this exercise, make your own guesstimate before clicking on the "Guesstimate" button, below, to see mine. If you have no idea how to get started, try clicking on the first hint button, below. Click on as many hints as you need to make your guesstimate, but no more than necessary. So, let's get started!
Extra Credit: What percentage of American women of childbearing age are currently pregnant?
Use what you know.
Use what you learned from the previous guesstimate.
A landmark number that you should know is the current population of the United States: a third of a billion people.
Another landmark number that you should know is the average lifespan of an American, which is currently close to eighty years3 .
Calculate. Take the guesses from the previous hints, and calculate how many Americans are currently pregnant.
Dividing the current population (hint 3) by the average lifespan (hint 4), produces the number of Americans of any given age, that is, a little over four million. Since this is the number of any given age, it's also the number of newborn babies. Of course, every newborn baby has a mother, so there are approximately the same number of pregnant women as babies born. This is not a one-to-one relationship because some women give birth to more than one baby, so that the number of pregnant women will be somewhat less than the number of babies. However, not all pregnancies result in a newborn baby, so the number of pregnant women will be somewhat higher as a result. Perhaps these two factors cancel out, but I'll round the estimate down to four million to account for multiple births and to avoid over-precision―keep in mind that we're looking for a good guess and not a precise statistic.
So, my guesstimate is that four million American women are currently pregnant. How close was your guesstimate to mine? If it was at least the same order of magnitude (OoM)―that is, millions and not tens of millions or hundreds of thousands―then it was in the ballpark.
Extra Credit Answer: We saw in the Fact Check section of the previous guesstimate1 that the number of women of child-bearing age is approximately 65 million. So, 4 million is a little more than 6% of such women, which is the answer to the question.
How good of an estimate is the one given above? Is it possible that an estimate based only on some landmark numbers―the current population and lifespan―together with some common knowledge, could be a good approximation to the actual statistic? To find out, you'll have to do some research. After making the above guesstimate, I researched the question and below is the result; I encourage you to check my findings against your own.
I haven't been able to find a direct answer to the question as it appears that no one actually counts the number of pregnant women, but there are recent statistics from which we can develop a more precise estimate. According to the National Center for Health Statistics, 3,664,292 babies were born in the United States in 20214. Given that the average pregnancy lasts nine months, which is common knowledge, 9/12ths of this number, or 75%, will represent the number of pregnant women at any given time of that year, which gives 2,748,219. So, correcting for over-precision, about 2.75 million pregnant women.
As I mentioned above, not all pregnancies result in newborn babies, so the number of pregnant women is likely to be somewhat greater than the number of babies, though by how much I don't know. So, I'll round up to three million.
Clearly, the guesstimate was of the right OoM―that is, millions―but it was a little too high―about a million too high―yet this was certainly in the ballpark. Since the answer to the extra credit question was based on the guesstimate, it was also about a percentage point too high, so that only around 5% of women of child-bearing age would be currently pregnant. According to the March of Dimes, "[t]he fertility rate in the United States in 2021 was 56.3 per 1,000 women ages 15-44"5, which is 5.6%. I'm not sure whether this statistic takes into account that pregnancy does not last a whole year; if not, then the adjusted rate would be 4.2%. In either case, the guesstimate was in the ballpark.
Notes:
- Guesstimate It, 1/13/2023.
- This problem was suggested by one from: Saul X. Levmore & Elizabeth Early Cook, Super Strategies for Puzzles and Games (1981), pp. 57-58.
- "What is the current lifespan in the United States?", Wolfram Alpha, accessed: 11/21/2023.
- "Births and Natality", National Center for Health Statistics, 6/8/2023.
- "Births", The March of Dimes, 1/2022.
December 1st, 2023 (Permalink)
The New(s) Guardians & The Same Old Beeb
- Lee Fang, "NewsGuard: Surrogate the Feds Pay to Keep Watch on the Internet and Be a Judge of the Truth", Real Clear Investigations, 11/15/2023
In May 2021, L. Gordon Crovitz, a media executive turned start-up investor, pitched Twitter executives on a powerful censorship tool. In an exchange that came to light in the “Twitter Files” revelations about media censorship, Crovitz, former publisher of the Wall Street Journal, touted his product, NewsGuard, as a “Vaccine Against Misinformation.” …
How would the company determine the truth? For issues such as COVID-19, NewsGuard would steer readers to official government sources only, like the federal Centers for Disease Control. Other content-moderation allies, Crovitz’s pitch noted, include “intelligence and national security officials,” “reputation management providers,” and “government agencies,” which contract with the firm to identify misinformation trends. Instead of only fact-checking individual forms of incorrect information, NewsGuard, in its proposal, touted the ability to rate the "overall reliability of websites" and “’prebunk’ COVID-19 misinformation from hundreds of popular websites.”
NewsGuard’s ultimately unsuccessful pitch sheds light on one aspect of a growing effort by governments around the world to police speech ranging from genuine disinformation to dissent from officially sanctioned narratives. In the United States, as the Twitter Files revealed, the effort often takes the form of direct government appeals to social media platforms and news outlets. More commonly the government works…through seemingly benign non-governmental organizations–such as the Stanford Internet Observatory1–to quell speech it disapproves of. Or it pays to coerce speech through government contracts with outfits such as NewsGuard….
Instead of merely suggesting rebuttals to untrustworthy information, as many other existing anti-misinformation groups provide, NewsGuard has built a business model out of broad labels that classify entire news sites as safe or untrustworthy, using an individual grading system producing what it calls “nutrition labels.” The ratings…use a scale of zero to 100 based on what NewsGuard calls “nine apolitical criteria,” including “gathers and presents information responsibly” (worth 18 points), “avoids deceptive headlines” (10 points), and “does not repeatedly publish false or egregiously misleading content” (22 points), etc.
Critics note that such ratings are entirely subjective–the New York Times, for example, which repeatedly carried false and partisan information from anonymous sources during the Russiagate hoax, gets a 100% rating. … Independent news outlets with an anti-establishment bent receive particularly low ratings from NewsGuard…. The model has received glowing profiles in CNN and the New York Times, among other outlets, as a viable solution for fighting fake news.
NewsGuard is pushing to apply its browser screening process into libraries, academic centers, news aggregation portals, and internet service providers. Its reach, however, is far greater because of other products it aims to sell to social media and other content moderation firms and advertisers. “An advertiser’s worst nightmare is having an ad placement damage even one customer’s trust in a brand,” said Crovitz in a press release touting NewsGuard’s “BrandGuard” service for advertisers. "We're asking them to pay a fraction of what they pay their P.R. people and their lobbyists to talk about the problem,” Crovitz told reporters.
NewsGuard’s BrandGuard tool provides an “exclusion list” [that] deters advertisers from buying space on sites NewsGuard deems problematic. But that warning service creates inherent conflicts of interest with NewsGuard’s financial model: The buyers of the service can be problematic entities too, with an interest in protecting and buffing their image.
A case in point: Publicis Groupe, NewsGuard’s largest investor and the biggest conglomerate of marketing agencies in the world, which has integrated NewsGuard’s technology into its fleet of subsidiaries that place online advertising. The question of conflicts arises because Publicis represents a range of corporate and government clients, including Pfizer–whose COVID vaccine has been questioned by some news outlets that have received low scores. … Publicis client Pfizer awarded Publicis a major deal to help manage its global media and advertising operations, a small reflection of which is the $2.3 billion the pharmaceutical giant spent on advertising last year.
The NewsGuard-Publicis relationship extends to the Paris-based marketing conglomerate’s full client list…. "NewsGuard will be able to publish and license ‘white lists’ of news sites our clients can use to support legitimate publishers while still protecting their brand reputations,” said Maurice Lévy, chairman of the Publicis Groupe, upon its launch of NewsGuard.
Put another way, when corporate watchdogs…are penalized by NewsGuard, the ranking system amounts to a blacklist to guide advertisers where not to spend their money. …
NewsGuard has faced mounting criticism that rather than serving as a neutral public service against online propaganda, it instead acts as an opaque proxy for its government and corporate clients to stifle views that simply run counter to their own interests. The criticism finds support in internal documents, such as the NewsGuard proposal to Twitter, …as well as in government records and discussions with independent media sites targeted by the startup. …
…[E]arlier this year, Crovitz wrote an email to journalist Matt Taibbi, defending its work with the government, describing it in the present tense, suggesting that it is ongoing….
- Stephen Daisley, "The problem with the BBC’s Israel coverage", The Spectator, 11/16/2023
Since the 7 October massacre, various institutions across the West have damaged their reputations when covering the murder of 1,200 Jews. Chief among them is the BBC which outdid itself in the early hours of Wednesday morning.
Around midnight, the Israel Defence Forces released a media statement announcing that it was launching an operation against Hamas in a part of Gaza’s Al Shifa Hospital, which the terrorist organisation uses as one of its command centres. The Reuters agency relayed the information via its news wire service, relied upon by journalists across the world. This is the story in its entirety:
Nov 15 (Reuters)–The Israeli military said its forces were carrying out an operation on Wednesday against Hamas within Gaza’s biggest hospital, Al Shifa. In a statement, the military said: “Based on intelligence information and an operational necessity, IDF forces are carrying out a precise and targeted operation against Hamas in a specified area in the Shifa Hospital.” The military said: “The IDF forces include medical teams and Arabic speakers, who have undergone specified training to prepare for this complex and sensitive environment, with the intent that no harm is caused to the civilians.["]2
At 12:09am, a newsreader on BBC News Channel picked up on the story. Or a version of it.
At this moment we are hearing from Reuters, that is reporting that Israel–it says its forces are carrying out an operation against Hamas in Gaza’s Al Shifa Hospital and they are targeting people, including medical teams as well as Arab speakers. They are also saying that Israel is calling on all Hamas operatives in the hospital to surrender at this point.
Once again, we are hearing from Reuters that Israel says that its forces are carrying out an operation against Hamas in that hospital that we had just heard of there, targeting Arab speakers as well as some of the medical staff there, and they are asking all Hamas operatives in that hospital to surrender.
So, the IDF said it was taking specially trained medical teams and Arabic speakers into Al Shifa Hospital to minimise harm to civilians and the BBC reported that as the IDF targeting medical staff and people who speak Arabic. …
This was a terrible mistake made in a rush, and went out on only one bulletin (although the correction took nine hours). … But we see a rush, here, to get out implausibly bad news about Israel. There ought to be several protocols on every new development to make sure every fact is checked, layers of editors to check accuracy. It’s obvious that, even now, no such system exists. The BBC is still being jaw-droppingly cavalier with the truth.
Notes:
- See: Thomas Adamo & Josiah Joner, "Stanford's Dark Hand in Twitter Censorship", The Stanford Review, 3/24/2023.
- "Israeli forces carrying out operation in Gaza's Al Shifa hospital -military", Reuters, 11/14/2023.
Disclaimer: I don't necessarily agree with everything in these articles, but I think they're worth reading as a whole. In abridging them, I have sometimes changed the paragraphing and rearranged the order of the excerpts in order to emphasize points.