We shared this request example with FAB participants: url_qparams = { "limit": count, "offset": offset, "has_group": "false", "order_by": "-activity", "forecast_type": "binary", "project": tournament_id, "status": "open", "type": "forecast", "include_description": "true", } url = f"{api_info.base_url}/questions/" response = requests.get( url, headers={"Authorization": f"Token {api_info.token}"}, params=url_qparams )

But we don't want to support all these parameters, and the ones relevant are: - order_by - status - project - forecast_type - we ignore this, but assume it's binary - FAB only supports binary for now.

GET /api2/questions/?format=api&offset=2460
HTTP 200 OK
Allow: OPTIONS, GET
Content-Type: application/json
Vary: Accept

{
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    "next": "http://www.metaculus.com/api2/questions/?format=api&limit=20&offset=2480",
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            "short_title": "ILC devices for ≥5.8m ppl in Andhra Pradesh?",
            "url_title": "ILC devices for ≥5.8m ppl in Andhra Pradesh?",
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            "nr_forecasters": 20,
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                        "created_at": "2024-09-09T17:11:01.867864Z",
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            "question": {
                "id": 28267,
                "title": "Will in-line chlorination devices serve at least 5.8 million people in Andhra Pradesh at the end of the 4th year of Evidence Action's program?",
                "created_at": "2024-09-18T02:41:36.487024Z",
                "open_time": "2024-10-23T16:00:00Z",
                "cp_reveal_time": "2024-10-25T16:00:00Z",
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                "description": "In March, [July](https://www.givewell.org/research/grants/evidence-action-india-ILC-pilot-expansion-july-2023), and [September](https://www.givewell.org/research/grants/evidence-action-in-line-chlorination-india-september-2023) 2023, [GiveWell](https://www.givewell.org/) recommended three grants to [Evidence Action](https://www.evidenceaction.org/) of ~$40.6 million to pilot in-line chlorination (ILC) and then provide technical assistance to the governments of [Andhra Pradesh](https://en.wikipedia.org/wiki/Andhra_Pradesh) and [Madhya Pradesh](https://en.wikipedia.org/wiki/Madhya_Pradesh) for implementing ILC through piped water sources in the rural areas of the states. Andhra Pradesh's total population is estimated at around [53 million](https://statisticstimes.com/demographics/india/andhra-pradesh-population.php) and its rural population is estimated at around [38 million](https://ejalshakti.gov.in/JJM/JJMReports/BasicInformation/JJMRep_RWS_RuralPopulation.aspx).\n\nThe government of India is embarking on a major push to provide piped water to all rural households through its [Jal Jeevan Mission](https://jaljeevanmission.gov.in/). The ILC devices will be installed on those new piped water sources.\n\nGiveWell estimates that [water contamination is likely high](https://www.givewell.org/research/grants/evidence-action-in-line-chlorination-india-september-2023#Why_we_recommended_this_grant) in India, which leads to deaths from diarrhea and related infectious diseases in areas such as Andhra Pradesh.\n\nResearch on the effects of water chlorination suggests that water treatment plausibly reduces deaths, [according to GiveWell](https://www.givewell.org/international/technical/programs/water-quality-interventions):\n\n> In-line chlorination is a technology for automatically disinfecting water at shared water collection points in low-income settings with unsafe water. We use the findings of water quality RCTs, adjusted for internal and external validity, to estimate reductions in all-cause mortality in children under five and people five and older [[123](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1680005064#gid=1680005064)] [Pickering et al. 2019](https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(19)30315-8/fulltext), the only published RCT of in-line chlorination with a diarrhea outcome, forms the basis of our adherence adjustment [[124](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=864135715#gid=864135715)] a key input of our external validity adjustment. [Clasen et al. 2015](https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD004794.pub3/full), the most recent Cochrane meta-analysis of water treatment trials, forms the basis for the morbidity reduction estimate [[125](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1336716860#gid=1336716860)] and the plausibility limit derived from it [[126](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1674952052#gid=1674952052)] After adjustments, we estimate that in-line chlorination in Kenya reduces all-cause mortality by 11% in children under five and 2% in people five and over [[127](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1680005064#gid=1680005064)] We further estimate that development effects and medical costs averted account for 35% and 19% of the total benefit of the intervention, respectively.\n\nAt the time GiveWell recommended this grant, it projected that by the end of the 2nd year of the project (approximately September 2025), Evidence Action would have installed [655](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=J49) ILC devices in Andhra Pradesh, which would reach an estimated [1,193,239](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=J51) total people. The expectation is that following the initial round of installations by Evidence Action, if successful, the government will install and maintain additional devices in the state. GiveWell estimated that the total number of devices would amount to [3,204](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=M49) devices over the remainder of the period, reaching [5.8 million](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=M51) people at the end of four years. GiveWell has not updated these estimates since the time of the grant decision.\n\nIn its internal forecasting, GiveWell has assigned a likelihood of 70% that the devices will indeed serve at least 5.8 million people at the end of four years, conditional on the program not being discontinued before that time.\n\nSee Also: \n\n- [Evidence Action — India In-Line Chlorination Pilot Expansion (July 2023)\n](https://www.givewell.org/research/grants/evidence-action-india-ILC-pilot-expansion-july-2023)\n- [Evidence Action — Scale-Up of In-Line Chlorination in India (September 2023)](https://www.givewell.org/research/grants/evidence-action-in-line-chlorination-india-september-2023)",
                "resolution_criteria": "Evidence Action will collect data on their program's outcomes in Andhra Pradesh and Madhya Pradesh, India, at the end of its fourth year, expected to be shared with GiveWell in early 2028. This question will resolve as **Yes** if GiveWell's assessment of this data shows that in-line chlorination (ILC) devices at water sources serve ≥5,800,000 people in Andhra Pradesh.\n\nIf GiveWell’s assessment is that the number of people in Andhra Pradesh served by ILC devices is \\<5,800,000, this question will resolve as **No**.",
                "fine_print": "If Evidence Action's GiveWell-funded program to scale up ILC devices in Andhra Pradesh is discontinued before reaching the end of its 4th year, this question will be **annulled**.\n\nGiveWell expects to receive the following information from Evidence Action that will help GiveWell assess the number of people served by ILC devices in the state:\n1. The average number of functioning ILC devices maintained in a year.\n2. The average number of households per water source with a device.\n3. The average number of people per household.\n4. The average number of under-five year-olds per household.\n5. The % of households whose water sample tests positive for chlorine.\n6. The % households whose water sample was positive for chlorine who report using ILC devices.\n\n\"People served\" is defined as 1 x 2 x 3 (i.e., people using a water point with an ILC device, regardless of whether their water is chlorinated).\n\nIn case of reporting delays, resolution will wait up to two years after the end of the question period, until September 8, 2029, after which the question will be **annulled** if GiveWell determines there is insufficient evidence to support a Yes or No resolution.",
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            "description": "In March, [July](https://www.givewell.org/research/grants/evidence-action-india-ILC-pilot-expansion-july-2023), and [September](https://www.givewell.org/research/grants/evidence-action-in-line-chlorination-india-september-2023) 2023, [GiveWell](https://www.givewell.org/) recommended three grants to [Evidence Action](https://www.evidenceaction.org/) of ~$40.6 million to pilot in-line chlorination (ILC) and then provide technical assistance to the governments of [Andhra Pradesh](https://en.wikipedia.org/wiki/Andhra_Pradesh) and [Madhya Pradesh](https://en.wikipedia.org/wiki/Madhya_Pradesh) for implementing ILC through piped water sources in the rural areas of the states. Andhra Pradesh's total population is estimated at around [53 million](https://statisticstimes.com/demographics/india/andhra-pradesh-population.php) and its rural population is estimated at around [38 million](https://ejalshakti.gov.in/JJM/JJMReports/BasicInformation/JJMRep_RWS_RuralPopulation.aspx).\n\nThe government of India is embarking on a major push to provide piped water to all rural households through its [Jal Jeevan Mission](https://jaljeevanmission.gov.in/). The ILC devices will be installed on those new piped water sources.\n\nGiveWell estimates that [water contamination is likely high](https://www.givewell.org/research/grants/evidence-action-in-line-chlorination-india-september-2023#Why_we_recommended_this_grant) in India, which leads to deaths from diarrhea and related infectious diseases in areas such as Andhra Pradesh.\n\nResearch on the effects of water chlorination suggests that water treatment plausibly reduces deaths, [according to GiveWell](https://www.givewell.org/international/technical/programs/water-quality-interventions):\n\n> In-line chlorination is a technology for automatically disinfecting water at shared water collection points in low-income settings with unsafe water. We use the findings of water quality RCTs, adjusted for internal and external validity, to estimate reductions in all-cause mortality in children under five and people five and older [[123](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1680005064#gid=1680005064)] [Pickering et al. 2019](https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(19)30315-8/fulltext), the only published RCT of in-line chlorination with a diarrhea outcome, forms the basis of our adherence adjustment [[124](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=864135715#gid=864135715)] a key input of our external validity adjustment. [Clasen et al. 2015](https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD004794.pub3/full), the most recent Cochrane meta-analysis of water treatment trials, forms the basis for the morbidity reduction estimate [[125](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1336716860#gid=1336716860)] and the plausibility limit derived from it [[126](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1674952052#gid=1674952052)] After adjustments, we estimate that in-line chlorination in Kenya reduces all-cause mortality by 11% in children under five and 2% in people five and over [[127](https://docs.google.com/spreadsheets/d/1dxRfhPnTBJ_UYAeoAyVd8u6Orxh4pR9hB3wvdfZcXFs/edit?gid=1680005064#gid=1680005064)] We further estimate that development effects and medical costs averted account for 35% and 19% of the total benefit of the intervention, respectively.\n\nAt the time GiveWell recommended this grant, it projected that by the end of the 2nd year of the project (approximately September 2025), Evidence Action would have installed [655](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=J49) ILC devices in Andhra Pradesh, which would reach an estimated [1,193,239](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=J51) total people. The expectation is that following the initial round of installations by Evidence Action, if successful, the government will install and maintain additional devices in the state. GiveWell estimated that the total number of devices would amount to [3,204](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=M49) devices over the remainder of the period, reaching [5.8 million](https://docs.google.com/spreadsheets/d/1aRjyAdYGdZ6N1_AvEU50sj_-LpVTjoGoN_5JasR-uYI/edit?gid=1483841316#gid=1483841316&range=M51) people at the end of four years. GiveWell has not updated these estimates since the time of the grant decision.\n\nIn its internal forecasting, GiveWell has assigned a likelihood of 70% that the devices will indeed serve at least 5.8 million people at the end of four years, conditional on the program not being discontinued before that time.\n\nSee Also: \n\n- [Evidence Action — India In-Line Chlorination Pilot Expansion (July 2023)\n](https://www.givewell.org/research/grants/evidence-action-india-ILC-pilot-expansion-july-2023)\n- [Evidence Action — Scale-Up of In-Line Chlorination in India (September 2023)](https://www.givewell.org/research/grants/evidence-action-in-line-chlorination-india-september-2023)"
        },
        {
            "id": 28265,
            "title": "If Kamala Harris is elected president of the United States in 2024, will X be banned within 6 months?",
            "short_title": "X banned if Harris president?",
            "url_title": "X banned if Harris president?",
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            "created_at": "2024-09-17T22:32:29.900022Z",
            "published_at": "2024-09-17T22:50:00Z",
            "edited_at": "2025-09-05T17:29:02.370501Z",
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            "curation_status_updated_at": "2024-09-17T22:50:00Z",
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            "status": "resolved",
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            "title": "[Short Fuse] Will there be a deadly attack within Israel causing at least five deaths before October 1, 2024?",
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                "title": "[Short Fuse] Will there be a deadly attack within Israel causing at least five deaths before October 1, 2024?",
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                "description": "Attacks on Israel have seen a significant resurgence since the [October 7 Attacks](https://en.wikipedia.org/wiki/2023_Hamas-led_attack_on_Israel) and the resulting [Israel-Hamas War](https://en.wikipedia.org/wiki/Israel–Hamas_war), [Israel-Hezbollah Conflict](https://en.wikipedia.org/wiki/Israel–Hezbollah_conflict_(2023–present)), and [Israel-Houthi Conflict](https://en.wikipedia.org/wiki/Red_Sea_crisis)\n\nBy early 2024, the number of rocket attacks on Israel was estimated at over [10,000](https://www.terrorism-info.org.il/en/operation-iron-swords-updated-to-1-p-m-november-22-2023/). A similar rate of rocket attacks have continued to this day.\n\nWhilst Israel has excellent air and rocket defence capabilities, there have been incidents where attacks have penetrated it's defences, two notable examples are listed below:\n\n- [2024 Iranian strikes against Israel](https://en.wikipedia.org/wiki/2024_Iranian_strikes_against_Israel). (*No deaths reported*.)\n- [2024 Houthi drone attack on Israel](https://en.wikipedia.org/wiki/2024_Houthi_drone_attack_on_Israel). (*Single death reported*.)\n\nThe aforementioned attacks have typically resulted in, or have been, \"tit-for-tat\" retaliations. For example, prior to the Iranian strikes on Israel, the IDF carried out an airstrike on the Iranian consulate in Damascus. The IDF responded to the Iranian reltalation with [strikes on Isfahan](https://en.wikipedia.org/wiki/2024_Israeli_strikes_on_Iran), but these were smaller in scale attacks, widely seen as an effort to deescalate tensions.\n\nAmidst the ongoing strikes exchanges between Israel and Hezbollah, reports emerged that more than 1,000 people – including Hezbollah fighters and medics – were [wounded on Tuesday, September 17](https://www.reuters.com/world/middle-east/dozens-hezbollah-members-wounded-lebanon-when-pagers-exploded-sources-witnesses-2024-09-17/) when the pagers used to communicate exploded across Lebanon in what is likely seen as a serious escalation of the Israel-Hezbollah Conflict.",
                "resolution_criteria": "This question resolves to \"Yes\" if before October 1, 2024, credible reports indicate that an attack occurring within Israel's borders has led to the death of at least five (5) individuals.",
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                "description": "Layoffs at some of the largest, most successful tech companies have [become all-too-common](https://www.vox.com/money/23691406/layoffs-history-job-insecurity-corporate-downsizing-q-a) in recent months and years, in a [layoff wave](https://www.washingtonpost.com/technology/2024/02/03/tech-layoffs-us-economy-google-microsoft/) that began in 2022. Some context on the companies listed in this question is as follows:\n\nOn September 16, 2024, Amazon [ordered](https://nypost.com/2024/09/16/business/amazon-orders-employees-to-return-to-the-office-5-days-a-week/) its workers back into the office five days a week and warned of restructurings. In 2024 TechCrunch (TC) listed layoff events in January and February.\n\nApple had layoff events listed by TC in February, April and August 2024. The August event [involved](https://www.theverge.com/2024/8/28/24230344/apple-job-layoffs-books-news-apps-digital-services) workers across its books and news apps in its digital services division. \n\nGoogle had layoff events in January, April, May, and June. \n\nIBM slashed jobs in March, according to TC. IBM additionally has one of the most active rumor boards at [TheLayoff dot com](https://www.thelayoff.com/international-business-machines)\n\nMeta/Facebook has no listings for 2024 according to TC, though had mass layoff events in 2022 and 2023.\n\nNvidia famously [eschews layoffs](https://www.indiatimes.com/worth/news/torture-them-into-greatness-nvidia-ceo-jensen-huang-doesnt-believe-in-firing-employees-636165.html) though recently has experienced [delays in shipments](https://www.nytimes.com/2024/08/05/business/nvidia-stocks.html) of its newest AI chips, following a recent [hiring binge](https://www.wsj.com/lifestyle/careers/booming-stock-and-sky-high-pay-nvidia-is-silicon-valleys-hot-employer-e4fb6c20).\n \nOracle has one of the most active layoff boards at [TheLayoff dot com](https://www.thelayoff.com/oracle) but has not yet had layoff events listed by TC in 2024. \n\nSalesforce had layoff events listed by TC in January and July 2024 and was recently added to the most active boards at TheLayOff.com.\n\nTesla had multiple layoff events listed by TC in April 2024, when it [slashed](https://www.wsj.com/tech/tesla-layoffs-elon-musk-email-29388d4e?mod=article_inline) more than 10% of its workforce.",
                "resolution_criteria": "This question resolves as **Yes** if, according to Tech Crunch's tracker *A comprehensive list of 2024 tech layoffs*, which currently can be accessed [here](https://techcrunch.com/2024/09/12/tech-layoffs-2024-list/), one of the following listed companies has layoffs in September 2024:\n\n- Amazon \n- Apple\n- Google or Alphabet\n- IBM\n- Meta or Facebook\n- Nvidia \n- Oracle\n- Salesforce\n- Tesla\n\nIf no layoff event is listed under the September 2024 section for any of the above companies, this question resolves as **No**.",
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