Periodical

Graham, Norman Head to S.C. GOP Senate Runoff, DDHQ Projects.

Bibliographic Details
Title: Graham, Norman Head to S.C. GOP Senate Runoff, DDHQ Projects.
Authors: Borter, Gabriella (AUTHOR)
Source: Bloomberg.com. 8/11/2026, pN.PAG-N.PAG. 1p.
Subject Terms: Runoff elections, Politicians, Primaries
Geographic Terms: South Carolina
Company/Entity: United States. Congress. Senate
Abstract: (Bloomberg) -- Darline Graham and Ralph Norman are projected to advance to a runoff in South Carolina's Republican Senate primary, according to DDHQ.©2026 Bloomberg L.P.By Gabriella BorterReported by Author [Extracted from the article]
Copyright of Bloomberg.com is the property of Bloomberg, L.P. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Business Source Index
FullText Text:
  Availability: 0
Header DbId: bsx
DbLabel: Business Source Index
An: 196092466
RelevancyScore: 1430
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 1430
IllustrationInfo
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  Data: Graham, Norman Head to S.C. GOP Senate Runoff, DDHQ Projects.
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  Data: (Bloomberg) -- Darline Graham and Ralph Norman are projected to advance to a runoff in South Carolina's Republican Senate primary, according to DDHQ.©2026 Bloomberg L.P.By Gabriella BorterReported by Author [Extracted from the article]
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  Data: <i>Copyright of Bloomberg.com is the property of Bloomberg, L.P. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=196092466
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Runoff elections
        Type: general
      – SubjectFull: Politicians
        Type: general
      – SubjectFull: Primaries
        Type: general
      – SubjectFull: South Carolina
        Type: general
      – SubjectFull: United States. Congress. Senate
        Type: general
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      – TitleFull: Graham, Norman Head to S.C. GOP Senate Runoff, DDHQ Projects.
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              M: 08
              Text: 8/11/2026
              Type: published
              Y: 2026
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